1001 lines (1000 with data), 951.9 kB

{"key": "f002988bf5fb84f630cf94e23389b1f0", "format": {"table": [0, 1], "cond": [[1, 3, 0, "Mal neo descend colon"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of patients whose diagnoses short title is mal neo descend colon.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DIAGNOSES.\"SHORT_TITLE\" = \"Mal neo descend colon\"", "question_refine_tok": ["count", "the", "number", "of", "patients", "whose", "diagnoses", "short", "title", "is", "mal", "neo", "descend", "colon", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"Mal", "neo", "descend", "colon\""]}
{"key": "47db6191ae1cef9ca665e0161f7d4dc5", "format": {"table": [0, 1], "cond": [[1, 3, 0, "Seroma complicting proc"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "which patients have seroma complicating a procedure diagnoses?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DIAGNOSES.\"SHORT_TITLE\" = \"Seroma complicting proc\"", "question_refine_tok": ["which", "patients", "have", "seroma", "complicating", "a", "procedure", "diagnoses", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"Seroma", "complicting", "proc\""]}
{"key": "58ed27d8ee8371eab73d8591413d2df0", "format": {"table": [0, 1], "cond": [[1, 4, 0, "Malnutrition of mild degree"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "give the number of patients diagnosed with malnutrition of mild degree.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DIAGNOSES.\"LONG_TITLE\" = \"Malnutrition of mild degree\"", "question_refine_tok": ["give", "the", "number", "of", "patients", "diagnosed", "with", "malnutrition", "of", "mild", "degree", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DIAGNOSES.\"LONG_TITLE\"", "=", "\"Malnutrition", "of", "mild", "degree\""]}
{"key": "e09a3a0d2807a6407dc4712b90fc1d4e", "format": {"table": [0, 1], "cond": [[1, 4, 0, "Oliguria and anuria"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients have been diagnosed with oliguria and anuria?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DIAGNOSES.\"LONG_TITLE\" = \"Oliguria and anuria\"", "question_refine_tok": ["how", "many", "patients", "have", "been", "diagnosed", "with", "oliguria", "and", "anuria", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DIAGNOSES.\"LONG_TITLE\"", "=", "\"Oliguria", "and", "anuria\""]}
{"key": "3c718274a5aaaa54c032bf5c256e3f75", "format": {"table": [0, 2], "cond": [[2, 4, 0, "Cardiopulmonary resuscitation, not otherwise specified"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "which patients had cardiopulmonary resuscitation, not otherwise specified?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE PROCEDURES.\"LONG_TITLE\" = \"Cardiopulmonary resuscitation, not otherwise specified\"", "question_refine_tok": ["which", "patients", "had", "cardiopulmonary", "resuscitation", ",", "not", "otherwise", "specified", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "PROCEDURES.\"LONG_TITLE\"", "=", "\"Cardiopulmonary", "resuscitation,", "not", "otherwise", "specified\""]}
{"key": "cc3f7818e107833578d20d611aef3e29", "format": {"table": [0, 4], "cond": [[4, 2, 0, 51455]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of patients with lab test item id 51455.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE LAB.\"ITEMID\" = \"51455\"", "question_refine_tok": ["count", "the", "number", "of", "patients", "with", "lab", "test", "item", "i", "d", "51455", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "LAB.\"ITEMID\"", "=", "\"51455\""]}
{"key": "298c079fa6915cf05fd8a7a794fbc772", "format": {"table": [0, 4], "cond": [[4, 3, 0, "2137-08-30 14:39:00"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "provide the number of patients whose lab test chart time is 2137-08-30 14:39:00.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE LAB.\"CHARTTIME\" = \"2137-08-30 14:39:00\"", "question_refine_tok": ["provide", "the", "number", "of", "patients", "whose", "lab", "test", "chart", "time", "is", "2137", "-", "08", "-", "30", "14:39:00", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "LAB.\"CHARTTIME\"", "=", "\"2137-08-30", "14:39:00\""]}
{"key": "ba1f99fd74dd58ebd5f27b4d569c1e7c", "format": {"table": [0, 4], "cond": [[4, 3, 0, "2120-04-16 13:27:00"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "provide the number of patients whose lab test chart time is 2120-04-16 13:27:00.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE LAB.\"CHARTTIME\" = \"2120-04-16 13:27:00\"", "question_refine_tok": ["provide", "the", "number", "of", "patients", "whose", "lab", "test", "chart", "time", "is", "2120", "-", "04", "-", "16", "13:27:00", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "LAB.\"CHARTTIME\"", "=", "\"2120-04-16", "13:27:00\""]}
{"key": "a6a76a407cc623a1b729144bf7018043", "format": {"table": [0, 4], "cond": [[4, 3, 0, "2111-12-22 19:13:00"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients are with lab test chart time 2111-12-22 19:13:00?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE LAB.\"CHARTTIME\" = \"2111-12-22 19:13:00\"", "question_refine_tok": ["how", "many", "patients", "are", "with", "lab", "test", "chart", "time", "2111", "-", "12", "-", "22", "19:13:00", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "LAB.\"CHARTTIME\"", "=", "\"2111-12-22", "19:13:00\""]}
{"key": "71f905e4dfa6785ac8cb12f0bba02bac", "format": {"table": [0], "cond": [[0, 3, 0, "SINGLE"], [0, 16, 0, "ACIDOSIS"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of unmarried patients with primary disease acidosis.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"MARITAL_STATUS\" = \"SINGLE\" AND DEMOGRAPHIC.\"DIAGNOSIS\" = \"ACIDOSIS\"", "question_refine_tok": ["count", "the", "number", "of", "unmarried", "patients", "with", "primary", "disease", "acidosis", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"MARITAL_STATUS\"", "=", "\"SINGLE\"", "AND", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"ACIDOSIS\""]}
{"key": "0da5f39218fc0990a5f18df2ed15b596", "format": {"table": [0], "cond": [[0, 3, 0, "DIVORCED"], [0, 16, 0, "CELO-VESSICLE FISTULA"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many divorced patients have celo-vessicle fistula primary disease?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"MARITAL_STATUS\" = \"DIVORCED\" AND DEMOGRAPHIC.\"DIAGNOSIS\" = \"CELO-VESSICLE FISTULA\"", "question_refine_tok": ["how", "many", "divorced", "patients", "have", "celo", "-", "vessicle", "fistula", "primary", "disease", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"MARITAL_STATUS\"", "=", "\"DIVORCED\"", "AND", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"CELO-VESSICLE", "FISTULA\""]}
{"key": "34c9b21b6e441866c49af6712fa4fceb", "format": {"table": [0], "cond": [[0, 3, 0, "WIDOWED"], [0, 18, 2, 1846]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "give me the number of widow patients who were born before the year 1846.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"MARITAL_STATUS\" = \"WIDOWED\" AND DEMOGRAPHIC.\"DOB_YEAR\" < \"1846\"", "question_refine_tok": ["give", "me", "the", "number", "of", "widow", "patients", "who", "were", "born", "before", "the", "year", "1846", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"MARITAL_STATUS\"", "=", "\"WIDOWED\"", "AND", "DEMOGRAPHIC.\"DOB_YEAR\"", "<", "\"1846\""]}
{"key": "999c963dfb52dd6f92dc594a615cf7f0", "format": {"table": [0, 2], "cond": [[0, 3, 0, "MARRIED"], [2, 3, 0, "Spinal tap"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "tell me the number of married patients who had spinal tap.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"MARITAL_STATUS\" = \"MARRIED\" AND PROCEDURES.\"SHORT_TITLE\" = \"Spinal tap\"", "question_refine_tok": ["tell", "me", "the", "number", "of", "married", "patients", "who", "had", "spinal", "tap", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"MARITAL_STATUS\"", "=", "\"MARRIED\"", "AND", "PROCEDURES.\"SHORT_TITLE\"", "=", "\"Spinal", "tap\""]}
{"key": "3b9c75ae41f026bdb8f7a973d68b6109", "format": {"table": [0, 2], "cond": [[0, 3, 0, "WIDOWED"], [2, 4, 0, "Laryngoscopy and other tracheoscopy"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of patients whose marital status is widowed and procedure long title is laryngoscopy and other tracheoscopy.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"MARITAL_STATUS\" = \"WIDOWED\" AND PROCEDURES.\"LONG_TITLE\" = \"Laryngoscopy and other tracheoscopy\"", "question_refine_tok": ["count", "the", "number", "of", "patients", "whose", "marital", "status", "is", "widowed", "and", "procedure", "long", "title", "is", "laryngoscopy", "and", "other", "tracheoscopy", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"MARITAL_STATUS\"", "=", "\"WIDOWED\"", "AND", "PROCEDURES.\"LONG_TITLE\"", "=", "\"Laryngoscopy", "and", "other", "tracheoscopy\""]}
{"key": "ee1143c7ae78e2e98ce86414edfb5951", "format": {"table": [0, 4], "cond": [[0, 3, 0, "MARRIED"], [4, 2, 0, 51438]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients with item id 51438 were emarried?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"MARITAL_STATUS\" = \"MARRIED\" AND LAB.\"ITEMID\" = \"51438\"", "question_refine_tok": ["how", "many", "patients", "with", "item", "i", "d", "51438", "were", "emarried", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"MARITAL_STATUS\"", "=", "\"MARRIED\"", "AND", "LAB.\"ITEMID\"", "=", "\"51438\""]}
{"key": "604aa539d390fbb434f457e318dff26c", "format": {"table": [0, 4], "cond": [[0, 3, 0, "MARRIED"], [4, 6, 0, "Bilirubin, Indirect"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many married patients underwent a lab test for bilirubin, indirect?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"MARITAL_STATUS\" = \"MARRIED\" AND LAB.\"LABEL\" = \"Bilirubin, Indirect\"", "question_refine_tok": ["how", "many", "married", "patients", "underwent", "a", "lab", "test", "for", "bilirubin", ",", "indirect", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"MARITAL_STATUS\"", "=", "\"MARRIED\"", "AND", "LAB.\"LABEL\"", "=", "\"Bilirubin,", "Indirect\""]}
{"key": "54fcdef3ec7d6d7e29a1297843aafeb6", "format": {"table": [0, 4], "cond": [[0, 3, 0, "WIDOWED"], [4, 6, 0, "Oxygen Saturation"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many of the patients who had lab test for oxygen saturation are widowed?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"MARITAL_STATUS\" = \"WIDOWED\" AND LAB.\"LABEL\" = \"Oxygen Saturation\"", "question_refine_tok": ["how", "many", "of", "the", "patients", "who", "had", "lab", "test", "for", "oxygen", "saturation", "are", "widowed", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"MARITAL_STATUS\"", "=", "\"WIDOWED\"", "AND", "LAB.\"LABEL\"", "=", "\"Oxygen", "Saturation\""]}
{"key": "767e7e6dffb77bff02d1a8ff4134e3ee", "format": {"table": [0, 4], "cond": [[0, 3, 0, "WIDOWED"], [4, 6, 0, "Metamyelocytes"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what number of widowed patients had lab test named metamyelocytes?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"MARITAL_STATUS\" = \"WIDOWED\" AND LAB.\"LABEL\" = \"Metamyelocytes\"", "question_refine_tok": ["what", "number", "of", "widowed", "patients", "had", "lab", "test", "named", "metamyelocytes", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"MARITAL_STATUS\"", "=", "\"WIDOWED\"", "AND", "LAB.\"LABEL\"", "=", "\"Metamyelocytes\""]}
{"key": "3c9c1749b327809d761a52459863601d", "format": {"table": [0, 4], "cond": [[0, 3, 0, "MARRIED"], [4, 6, 0, "Homocysteine"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients who had a lab test for homocysteine are married?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"MARITAL_STATUS\" = \"MARRIED\" AND LAB.\"LABEL\" = \"Homocysteine\"", "question_refine_tok": ["how", "many", "patients", "who", "had", "a", "lab", "test", "for", "homocysteine", "are", "married", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"MARITAL_STATUS\"", "=", "\"MARRIED\"", "AND", "LAB.\"LABEL\"", "=", "\"Homocysteine\""]}
{"key": "c31f880dd11fff084de6e347504a9bb4", "format": {"table": [0], "cond": [[0, 6, 0, "M"], [0, 15, 0, "LEFT AGAINST MEDICAL ADVI"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many male patient had the discharge location as left against medical advice?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"GENDER\" = \"M\" AND DEMOGRAPHIC.\"DISCHARGE_LOCATION\" = \"LEFT AGAINST MEDICAL ADVI\"", "question_refine_tok": ["how", "many", "male", "patient", "had", "the", "discharge", "location", "as", "left", "against", "medical", "advice", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"GENDER\"", "=", "\"M\"", "AND", "DEMOGRAPHIC.\"DISCHARGE_LOCATION\"", "=", "\"LEFT", "AGAINST", "MEDICAL", "ADVI\""]}
{"key": "9fdfa44519d4f7107a930e1522bdf0f4", "format": {"table": [0], "cond": [[0, 6, 0, "M"], [0, 18, 2, 2156]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of male patients who were born before 2156?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"GENDER\" = \"M\" AND DEMOGRAPHIC.\"DOB_YEAR\" < \"2156\"", "question_refine_tok": ["what", "is", "the", "number", "of", "male", "patients", "who", "were", "born", "before", "2156", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"GENDER\"", "=", "\"M\"", "AND", "DEMOGRAPHIC.\"DOB_YEAR\"", "<", "\"2156\""]}
{"key": "3ab60f1824e466690d33d33363bb27f5", "format": {"table": [0, 1], "cond": [[0, 6, 0, "M"], [1, 3, 0, "Emphysema NEC"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many male patients have been diagnosed with other emphysema?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"GENDER\" = \"M\" AND DIAGNOSES.\"SHORT_TITLE\" = \"Emphysema NEC\"", "question_refine_tok": ["how", "many", "male", "patients", "have", "been", "diagnosed", "with", "other", "emphysema", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"GENDER\"", "=", "\"M\"", "AND", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"Emphysema", "NEC\""]}
{"key": "e1ab8e769aba4f855d7fccc7c7632f4f", "format": {"table": [0, 1], "cond": [[0, 6, 0, "F"], [1, 3, 0, "Cholangitis"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many female patients have cholangitis diagnoses?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"GENDER\" = \"F\" AND DIAGNOSES.\"SHORT_TITLE\" = \"Cholangitis\"", "question_refine_tok": ["how", "many", "female", "patients", "have", "cholangitis", "diagnoses", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"GENDER\"", "=", "\"F\"", "AND", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"Cholangitis\""]}
{"key": "58d41a6f2d68d94c7f7ae8415d84ec8e", "format": {"table": [0, 3], "cond": [[0, 6, 0, "M"], [3, 5, 0, "FLUC100"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many of the male patients were treated with fluc100?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"GENDER\" = \"M\" AND PRESCRIPTIONS.\"FORMULARY_DRUG_CD\" = \"FLUC100\"", "question_refine_tok": ["how", "many", "of", "the", "male", "patients", "were", "treated", "with", "fluc100", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"GENDER\"", "=", "\"M\"", "AND", "PRESCRIPTIONS.\"FORMULARY_DRUG_CD\"", "=", "\"FLUC100\""]}
{"key": "fed0c35cc5326963faba8746a87c5eb5", "format": {"table": [0, 4], "cond": [[0, 6, 0, "F"], [4, 6, 0, "Sedimentation Rate"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "provide the number of female patients who had sedimentation rate lab test done.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"GENDER\" = \"F\" AND LAB.\"LABEL\" = \"Sedimentation Rate\"", "question_refine_tok": ["provide", "the", "number", "of", "female", "patients", "who", "had", "sedimentation", "rate", "lab", "test", "done", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"GENDER\"", "=", "\"F\"", "AND", "LAB.\"LABEL\"", "=", "\"Sedimentation", "Rate\""]}
{"key": "76a28319b032760fbfb236d62703694b", "format": {"table": [0], "cond": [[0, 7, 0, "SPAN"], [0, 4, 2, 83]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients whose language is spanish are aged below 83 years?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"LANGUAGE\" = \"SPAN\" AND DEMOGRAPHIC.\"AGE\" < \"83\"", "question_refine_tok": ["how", "many", "patients", "whose", "language", "is", "spanish", "are", "aged", "below", "83", "years", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"LANGUAGE\"", "=", "\"SPAN\"", "AND", "DEMOGRAPHIC.\"AGE\"", "<", "\"83\""]}
{"key": "fb8b56a871ace84839c0359207097f0f", "format": {"table": [0, 1], "cond": [[0, 7, 0, "ENGL"], [1, 3, 0, "Bipol I cur depres NOS"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "find the number of patients who speak english language and have been diagnosed with bipolar 1 disorder, most recent episode depressed, unspecified.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"LANGUAGE\" = \"ENGL\" AND DIAGNOSES.\"SHORT_TITLE\" = \"Bipol I cur depres NOS\"", "question_refine_tok": ["find", "the", "number", "of", "patients", "who", "speak", "english", "language", "and", "have", "been", "diagnosed", "with", "bipolar", "1", "disorder", ",", "most", "recent", "episode", "depressed", ",", "unspecified", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"LANGUAGE\"", "=", "\"ENGL\"", "AND", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"Bipol", "I", "cur", "depres", "NOS\""]}
{"key": "a10d4da5de679c478abcf3e8b9262878", "format": {"table": [0, 2], "cond": [[0, 7, 0, "SPAN"], [2, 4, 0, "Coronary arteriography using two catheters"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients who speak spanish language have undergone the procedure coronary arteriography using two catheters?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"LANGUAGE\" = \"SPAN\" AND PROCEDURES.\"LONG_TITLE\" = \"Coronary arteriography using two catheters\"", "question_refine_tok": ["how", "many", "patients", "who", "speak", "spanish", "language", "have", "undergone", "the", "procedure", "coronary", "arteriography", "using", "two", "catheters", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"LANGUAGE\"", "=", "\"SPAN\"", "AND", "PROCEDURES.\"LONG_TITLE\"", "=", "\"Coronary", "arteriography", "using", "two", "catheters\""]}
{"key": "f66644205579bf804b133b8d1e75f34e", "format": {"table": [0, 2], "cond": [[0, 7, 0, "ENGL"], [2, 4, 0, "Infusion of vasopressor agent"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "find the number of patients who have undergone procedure infusion of vasopressor agent and have english as their preferred language.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"LANGUAGE\" = \"ENGL\" AND PROCEDURES.\"LONG_TITLE\" = \"Infusion of vasopressor agent\"", "question_refine_tok": ["find", "the", "number", "of", "patients", "who", "have", "undergone", "procedure", "infusion", "of", "vasopressor", "agent", "and", "have", "english", "as", "their", "preferred", "language", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"LANGUAGE\"", "=", "\"ENGL\"", "AND", "PROCEDURES.\"LONG_TITLE\"", "=", "\"Infusion", "of", "vasopressor", "agent\""]}
{"key": "9f2afa5df98b738767223587013ac272", "format": {"table": [0], "cond": [[0, 8, 0, "UNOBTAINABLE"], [0, 4, 2, 86]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "give the number of patients under the age of 86 whose religion is unknown.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"RELIGION\" = \"UNOBTAINABLE\" AND DEMOGRAPHIC.\"AGE\" < \"86\"", "question_refine_tok": ["give", "the", "number", "of", "patients", "under", "the", "age", "of", "86", "whose", "religion", "is", "unknown", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"RELIGION\"", "=", "\"UNOBTAINABLE\"", "AND", "DEMOGRAPHIC.\"AGE\"", "<", "\"86\""]}
{"key": "5232c7b6ef2cc2eebba6cc3d17ca0106", "format": {"table": [0, 4], "cond": [[0, 8, 0, "ROMANIAN EAST. ORTH"], [4, 6, 0, "Potassium"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "among patients tested for potassium levels, how many of them belonged to romanian east. orth belief?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"RELIGION\" = \"ROMANIAN EAST. ORTH\" AND LAB.\"LABEL\" = \"Potassium\"", "question_refine_tok": ["among", "patients", "tested", "for", "potassium", "levels", ",", "how", "many", "of", "them", "belonged", "to", "romanian", "east", ".", "orth", "belief", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"RELIGION\"", "=", "\"ROMANIAN", "EAST.", "ORTH\"", "AND", "LAB.\"LABEL\"", "=", "\"Potassium\""]}
{"key": "be3eb4f1fe1a812c5e1fec8075e5f12c", "format": {"table": [0, 4], "cond": [[0, 8, 0, "CHRISTIAN SCIENTIST"], [4, 6, 0, "Reticulocyte Count, Manual"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients belonging to christian scientist religion underwent the lab test for reticuloyte count, manually?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"RELIGION\" = \"CHRISTIAN SCIENTIST\" AND LAB.\"LABEL\" = \"Reticulocyte Count, Manual\"", "question_refine_tok": ["how", "many", "patients", "belonging", "to", "christian", "scientist", "religion", "underwent", "the", "lab", "test", "for", "reticuloyte", "count", ",", "manually", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"RELIGION\"", "=", "\"CHRISTIAN", "SCIENTIST\"", "AND", "LAB.\"LABEL\"", "=", "\"Reticulocyte", "Count,", "Manual\""]}
{"key": "ba9dbb081b9f1ce73045840351f64497", "format": {"table": [0], "cond": [[0, 9, 0, "EMERGENCY"], [0, 16, 0, "BRAIN MASS;INTRACRANIAL HEMORRHAGE"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients were admitted in emergency for brain mass;intracranial hemorrhage?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ADMISSION_TYPE\" = \"EMERGENCY\" AND DEMOGRAPHIC.\"DIAGNOSIS\" = \"BRAIN MASS;INTRACRANIAL HEMORRHAGE\"", "question_refine_tok": ["how", "many", "patients", "were", "admitted", "in", "emergency", "for", "brain", "mass;intracranial", "hemorrhage", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ADMISSION_TYPE\"", "=", "\"EMERGENCY\"", "AND", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"BRAIN", "MASS;INTRACRANIAL", "HEMORRHAGE\""]}
{"key": "ddfabe221b98f67817c29c3359828e75", "format": {"table": [0, 1], "cond": [[0, 9, 0, "EMERGENCY"], [1, 4, 0, "Glucocorticoid deficiency"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "give the number of patients whose admission type is emergency and diagnosis long title is glucocorticoid deficiency.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"ADMISSION_TYPE\" = \"EMERGENCY\" AND DIAGNOSES.\"LONG_TITLE\" = \"Glucocorticoid deficiency\"", "question_refine_tok": ["give", "the", "number", "of", "patients", "whose", "admission", "type", "is", "emergency", "and", "diagnosis", "long", "title", "is", "glucocorticoid", "deficiency", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMISSION_TYPE\"", "=", "\"EMERGENCY\"", "AND", "DIAGNOSES.\"LONG_TITLE\"", "=", "\"Glucocorticoid", "deficiency\""]}
{"key": "34fc3b0e3b99d3983d7a09f19597e9f8", "format": {"table": [0, 2], "cond": [[0, 9, 0, "EMERGENCY"], [2, 2, 0, 4576]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients admitted in emergency have the procedure icd9 code 4576?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"ADMISSION_TYPE\" = \"EMERGENCY\" AND PROCEDURES.\"ICD9_CODE\" = \"4576\"", "question_refine_tok": ["how", "many", "patients", "admitted", "in", "emergency", "have", "the", "procedure", "icd9", "code", "4576", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMISSION_TYPE\"", "=", "\"EMERGENCY\"", "AND", "PROCEDURES.\"ICD9_CODE\"", "=", "\"4576\""]}
{"key": "b8ee84128dd33abe645ac4845a6a7af7", "format": {"table": [0, 2], "cond": [[0, 9, 0, "EMERGENCY"], [2, 3, 0, "Opn rt hemicolectomy NEC"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients admitted to emergency had opn rt hemicolectomy nec?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"ADMISSION_TYPE\" = \"EMERGENCY\" AND PROCEDURES.\"SHORT_TITLE\" = \"Opn rt hemicolectomy NEC\"", "question_refine_tok": ["how", "many", "patients", "admitted", "to", "emergency", "had", "opn", "rt", "hemicolectomy", "nec", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMISSION_TYPE\"", "=", "\"EMERGENCY\"", "AND", "PROCEDURES.\"SHORT_TITLE\"", "=", "\"Opn", "rt", "hemicolectomy", "NEC\""]}
{"key": "32b051aa13cce1796c5dd850806cd7e3", "format": {"table": [0, 2], "cond": [[0, 9, 0, "EMERGENCY"], [2, 3, 0, "CV cath plcmt w guidance"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of patients whose admission type is emergency and procedure short title is cv cath plcmt w guidance.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"ADMISSION_TYPE\" = \"EMERGENCY\" AND PROCEDURES.\"SHORT_TITLE\" = \"CV cath plcmt w guidance\"", "question_refine_tok": ["count", "the", "number", "of", "patients", "whose", "admission", "type", "is", "emergency", "and", "procedure", "short", "title", "is", "cv", "cath", "plcmt", "w", "guidance", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMISSION_TYPE\"", "=", "\"EMERGENCY\"", "AND", "PROCEDURES.\"SHORT_TITLE\"", "=", "\"CV", "cath", "plcmt", "w", "guidance\""]}
{"key": "ea1358be5c127c48552ee5bbcb78cf44", "format": {"table": [0, 2], "cond": [[0, 9, 0, "EMERGENCY"], [2, 4, 0, "Initial insertion of dual-chamber device"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "get the number of emergency hospital admission patients who had initial insertion of dual-chamber device.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"ADMISSION_TYPE\" = \"EMERGENCY\" AND PROCEDURES.\"LONG_TITLE\" = \"Initial insertion of dual-chamber device\"", "question_refine_tok": ["get", "the", "number", "of", "emergency", "hospital", "admission", "patients", "who", "had", "initial", "insertion", "of", "dual", "-", "chamber", "device", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMISSION_TYPE\"", "=", "\"EMERGENCY\"", "AND", "PROCEDURES.\"LONG_TITLE\"", "=", "\"Initial", "insertion", "of", "dual-chamber", "device\""]}
{"key": "2ec9c99454a7bb6cef3d5012a68db22f", "format": {"table": [0, 4], "cond": [[0, 9, 0, "ELECTIVE"], [4, 6, 0, "Creatinine, Urine"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients on elective admission had a lab test for urine creatinine?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"ADMISSION_TYPE\" = \"ELECTIVE\" AND LAB.\"LABEL\" = \"Creatinine, Urine\"", "question_refine_tok": ["how", "many", "patients", "on", "elective", "admission", "had", "a", "lab", "test", "for", "urine", "creatinine", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMISSION_TYPE\"", "=", "\"ELECTIVE\"", "AND", "LAB.\"LABEL\"", "=", "\"Creatinine,", "Urine\""]}
{"key": "e4bb366c8c830725aefbda16a18c65b5", "format": {"table": [0], "cond": [[0, 11, 0, "Self Pay"], [0, 18, 2, 2138]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "tell me the number of self pay insurance patients who were born before 2138.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"INSURANCE\" = \"Self Pay\" AND DEMOGRAPHIC.\"DOB_YEAR\" < \"2138\"", "question_refine_tok": ["tell", "me", "the", "number", "of", "self", "pay", "insurance", "patients", "who", "were", "born", "before", "2138", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"INSURANCE\"", "=", "\"Self", "Pay\"", "AND", "DEMOGRAPHIC.\"DOB_YEAR\"", "<", "\"2138\""]}
{"key": "cfb11055a048c13e4c94e7607fa03648", "format": {"table": [0], "cond": [[0, 11, 0, "Private"], [0, 19, 4, 2131.0]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients posses private insurance and died in or before the year 2131?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"INSURANCE\" = \"Private\" AND DEMOGRAPHIC.\"DOD_YEAR\" <= \"2131.0\"", "question_refine_tok": ["how", "many", "patients", "posses", "private", "insurance", "and", "died", "in", "or", "before", "the", "year", "2131", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"INSURANCE\"", "=", "\"Private\"", "AND", "DEMOGRAPHIC.\"DOD_YEAR\"", "<=", "\"2131.0\""]}
{"key": "33f218c5f6bbcac7e1953365aa1bbf4d", "format": {"table": [0], "cond": [[0, 12, 0, "HISPANIC OR LATINO"], [0, 4, 2, 20]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many hispanic or latino patients were aged below 20 years?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ETHNICITY\" = \"HISPANIC OR LATINO\" AND DEMOGRAPHIC.\"AGE\" < \"20\"", "question_refine_tok": ["how", "many", "hispanic", "or", "latino", "patients", "were", "aged", "below", "20", "years", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ETHNICITY\"", "=", "\"HISPANIC", "OR", "LATINO\"", "AND", "DEMOGRAPHIC.\"AGE\"", "<", "\"20\""]}
{"key": "2718d731f69ddd356bc24d2cb068083c", "format": {"table": [0], "cond": [[0, 12, 0, "HISPANIC OR LATINO"], [0, 4, 2, 27]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many hispanic or latino patients are aged below 27 years?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ETHNICITY\" = \"HISPANIC OR LATINO\" AND DEMOGRAPHIC.\"AGE\" < \"27\"", "question_refine_tok": ["how", "many", "hispanic", "or", "latino", "patients", "are", "aged", "below", "27", "years", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ETHNICITY\"", "=", "\"HISPANIC", "OR", "LATINO\"", "AND", "DEMOGRAPHIC.\"AGE\"", "<", "\"27\""]}
{"key": "9517cef054bdd6a576c41201b19845c8", "format": {"table": [0, 1], "cond": [[0, 12, 0, "WHITE"], [1, 3, 0, "Hyperlipidemia NEC/NOS"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many white patients had the diagnosis short title hyperlipidemia nec/nos?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"ETHNICITY\" = \"WHITE\" AND DIAGNOSES.\"SHORT_TITLE\" = \"Hyperlipidemia NEC/NOS\"", "question_refine_tok": ["how", "many", "white", "patients", "had", "the", "diagnosis", "short", "title", "hyperlipidemia", "nec", "/", "nos", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ETHNICITY\"", "=", "\"WHITE\"", "AND", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"Hyperlipidemia", "NEC/NOS\""]}
{"key": "2913fbfc72ba27ade9768e48e055d7c9", "format": {"table": [0, 3], "cond": [[0, 12, 0, "BLACK/CAPE VERDEAN"], [3, 4, 0, "1/2 NS"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients of black/cape verdean ethnic origin were treated with drug 1/2 ns?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"ETHNICITY\" = \"BLACK/CAPE VERDEAN\" AND PRESCRIPTIONS.\"DRUG\" = \"1/2 NS\"", "question_refine_tok": ["how", "many", "patients", "of", "black", "/", "cape", "verdean", "ethnic", "origin", "were", "treated", "with", "drug", "1/2", "ns", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ETHNICITY\"", "=", "\"BLACK/CAPE", "VERDEAN\"", "AND", "PRESCRIPTIONS.\"DRUG\"", "=", "\"1/2", "NS\""]}
{"key": "ab014699708c7159b18bbfe0114d00eb", "format": {"table": [0, 4], "cond": [[0, 12, 0, "BLACK/HAITIAN"], [4, 8, 0, "Chemistry"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many black/haitian patients had the lab test category chemistry?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"ETHNICITY\" = \"BLACK/HAITIAN\" AND LAB.\"CATEGORY\" = \"Chemistry\"", "question_refine_tok": ["how", "many", "black", "/", "haitian", "patients", "had", "the", "lab", "test", "category", "chemistry", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ETHNICITY\"", "=", "\"BLACK/HAITIAN\"", "AND", "LAB.\"CATEGORY\"", "=", "\"Chemistry\""]}
{"key": "7df1012037f5841161cfb47456c99307", "format": {"table": [0], "cond": [[0, 13, 0, 0], [0, 16, 0, "FEMORAL ARTERY THROMBOSIS"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what number of patients with femoral artery thrombosis have 0 death status?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"EXPIRE_FLAG\" = \"0\" AND DEMOGRAPHIC.\"DIAGNOSIS\" = \"FEMORAL ARTERY THROMBOSIS\"", "question_refine_tok": ["what", "number", "of", "patients", "with", "femoral", "artery", "thrombosis", "have", "0", "death", "status", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"EXPIRE_FLAG\"", "=", "\"0\"", "AND", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"FEMORAL", "ARTERY", "THROMBOSIS\""]}
{"key": "5be9b9cf6fe64f65d6c8ef8efaa44768", "format": {"table": [0], "cond": [[0, 13, 0, 1], [0, 18, 2, 2083]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many of the patients born in the year less than 2083 have confirmed death status?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"EXPIRE_FLAG\" = \"1\" AND DEMOGRAPHIC.\"DOB_YEAR\" < \"2083\"", "question_refine_tok": ["how", "many", "of", "the", "patients", "born", "in", "the", "year", "less", "than", "2083", "have", "confirmed", "death", "status", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"EXPIRE_FLAG\"", "=", "\"1\"", "AND", "DEMOGRAPHIC.\"DOB_YEAR\"", "<", "\"2083\""]}
{"key": "66c130ca057b9cc2f180fb1876ed0328", "format": {"table": [0], "cond": [[0, 13, 0, 0], [0, 22, 2, 2114]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "among patients admitted in the year less than 2114, for how many of them death status is unspecified? ", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"EXPIRE_FLAG\" = \"0\" AND DEMOGRAPHIC.\"ADMITYEAR\" < \"2114\"", "question_refine_tok": ["among", "patients", "admitted", "in", "the", "year", "less", "than", "2114", ",", "for", "how", "many", "of", "them", "death", "status", "is", "unspecified", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"EXPIRE_FLAG\"", "=", "\"0\"", "AND", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2114\""]}
{"key": "d54e63a87b05ecdadda31c8b92a9a040", "format": {"table": [0, 1], "cond": [[0, 13, 0, 1], [1, 3, 0, "Proteus infection NOS"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients are with death status 1 and diagnosed with proteus infection nos?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"EXPIRE_FLAG\" = \"1\" AND DIAGNOSES.\"SHORT_TITLE\" = \"Proteus infection NOS\"", "question_refine_tok": ["how", "many", "patients", "are", "with", "death", "status", "1", "and", "diagnosed", "with", "proteus", "infection", "nos", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"EXPIRE_FLAG\"", "=", "\"1\"", "AND", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"Proteus", "infection", "NOS\""]}
{"key": "c11924b98f205cabf0d24c9912e60a61", "format": {"table": [0, 1], "cond": [[0, 13, 0, 0], [1, 3, 0, "Cl skul base fx-coma NOS"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients are with death status 0 and diagnosed with cl skul base fx-coma nos?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"EXPIRE_FLAG\" = \"0\" AND DIAGNOSES.\"SHORT_TITLE\" = \"Cl skul base fx-coma NOS\"", "question_refine_tok": ["how", "many", "patients", "are", "with", "death", "status", "0", "and", "diagnosed", "with", "cl", "skul", "base", "fx", "-", "coma", "nos", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"EXPIRE_FLAG\"", "=", "\"0\"", "AND", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"Cl", "skul", "base", "fx-coma", "NOS\""]}
{"key": "f5a1a8b314b7342e39ff70c0f2a885c9", "format": {"table": [0, 1], "cond": [[0, 13, 0, 0], [1, 4, 0, "Other second degree atrioventricular block"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "provide the number of patients whose death status is 0 and diagnosis long title is other second degree atrioventricular block.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"EXPIRE_FLAG\" = \"0\" AND DIAGNOSES.\"LONG_TITLE\" = \"Other second degree atrioventricular block\"", "question_refine_tok": ["provide", "the", "number", "of", "patients", "whose", "death", "status", "is", "0", "and", "diagnosis", "long", "title", "is", "other", "second", "degree", "atrioventricular", "block", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"EXPIRE_FLAG\"", "=", "\"0\"", "AND", "DIAGNOSES.\"LONG_TITLE\"", "=", "\"Other", "second", "degree", "atrioventricular", "block\""]}
{"key": "37fdc51ae59edf701bd4100558bd66bd", "format": {"table": [0, 1], "cond": [[0, 13, 0, 1], [1, 4, 0, "Asthma, unspecified type, unspecified"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of dead patients who were diagnosed with unspecified asthma, unspecified type.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"EXPIRE_FLAG\" = \"1\" AND DIAGNOSES.\"LONG_TITLE\" = \"Asthma, unspecified type, unspecified\"", "question_refine_tok": ["count", "the", "number", "of", "dead", "patients", "who", "were", "diagnosed", "with", "unspecified", "asthma", ",", "unspecified", "type", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"EXPIRE_FLAG\"", "=", "\"1\"", "AND", "DIAGNOSES.\"LONG_TITLE\"", "=", "\"Asthma,", "unspecified", "type,", "unspecified\""]}
{"key": "144a8b841c688951eaa7242b06faca98", "format": {"table": [0, 2], "cond": [[0, 13, 0, 0], [2, 3, 0, "Incision of aorta"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what number of patients who had incision of aorta have death status as 0?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"EXPIRE_FLAG\" = \"0\" AND PROCEDURES.\"SHORT_TITLE\" = \"Incision of aorta\"", "question_refine_tok": ["what", "number", "of", "patients", "who", "had", "incision", "of", "aorta", "have", "death", "status", "as", "0", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"EXPIRE_FLAG\"", "=", "\"0\"", "AND", "PROCEDURES.\"SHORT_TITLE\"", "=", "\"Incision", "of", "aorta\""]}
{"key": "4d601a5382678f8b5b555930cc9bbda3", "format": {"table": [0], "cond": [[0, 14, 0, "PHYS REFERRAL/NORMAL DELI"], [0, 4, 2, 50]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many office admission patients are less than 50 years of age?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ADMISSION_LOCATION\" = \"PHYS REFERRAL/NORMAL DELI\" AND DEMOGRAPHIC.\"AGE\" < \"50\"", "question_refine_tok": ["how", "many", "office", "admission", "patients", "are", "less", "than", "50", "years", "of", "age", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ADMISSION_LOCATION\"", "=", "\"PHYS", "REFERRAL/NORMAL", "DELI\"", "AND", "DEMOGRAPHIC.\"AGE\"", "<", "\"50\""]}
{"key": "5cadb9ee95567682a1d9a595da6d0aef", "format": {"table": [0], "cond": [[0, 14, 0, "EMERGENCY ROOM ADMIT"], [0, 22, 2, 2155]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients are admitted under emergency room admit and admitted before the year 2155?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ADMISSION_LOCATION\" = \"EMERGENCY ROOM ADMIT\" AND DEMOGRAPHIC.\"ADMITYEAR\" < \"2155\"", "question_refine_tok": ["how", "many", "patients", "are", "admitted", "under", "emergency", "room", "admit", "and", "admitted", "before", "the", "year", "2155", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ADMISSION_LOCATION\"", "=", "\"EMERGENCY", "ROOM", "ADMIT\"", "AND", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2155\""]}
{"key": "8f6a86a867519165ef785de92ce0a06f", "format": {"table": [0, 1], "cond": [[0, 14, 0, "CLINIC REFERRAL/PREMATURE"], [1, 3, 0, "Dysphagia NOS"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients diagnosed with dysphagia nos were admitted to clinic referral/premature?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"ADMISSION_LOCATION\" = \"CLINIC REFERRAL/PREMATURE\" AND DIAGNOSES.\"SHORT_TITLE\" = \"Dysphagia NOS\"", "question_refine_tok": ["how", "many", "patients", "diagnosed", "with", "dysphagia", "nos", "were", "admitted", "to", "clinic", "referral", "/", "premature", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMISSION_LOCATION\"", "=", "\"CLINIC", "REFERRAL/PREMATURE\"", "AND", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"Dysphagia", "NOS\""]}
{"key": "3b6cbf1d9789ec37ef5ca16c9812a5e1", "format": {"table": [0, 1], "cond": [[0, 14, 0, "PHYS REFERRAL/NORMAL DELI"], [1, 4, 0, "Diverticulitis of colon (without mention of hemorrhage)"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of patients whose admission locations is phys referral/normal deli and diagnosis long title is diverticulitis of colon (without mention of hemorrhage).", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"ADMISSION_LOCATION\" = \"PHYS REFERRAL/NORMAL DELI\" AND DIAGNOSES.\"LONG_TITLE\" = \"Diverticulitis of colon (without mention of hemorrhage)\"", "question_refine_tok": ["count", "the", "number", "of", "patients", "whose", "admission", "locations", "is", "phys", "referral", "/", "normal", "deli", "and", "diagnosis", "long", "title", "is", "diverticulitis", "of", "colon", "(", "without", "mention", "of", "hemorrhage", ")", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMISSION_LOCATION\"", "=", "\"PHYS", "REFERRAL/NORMAL", "DELI\"", "AND", "DIAGNOSES.\"LONG_TITLE\"", "=", "\"Diverticulitis", "of", "colon", "(without", "mention", "of", "hemorrhage)\""]}
{"key": "71388443bfb5af68c2529af5b9b0c0e4", "format": {"table": [0, 1], "cond": [[0, 14, 0, "TRANSFER FROM HOSP/EXTRAM"], [1, 4, 0, "Benign neoplasm of spinal meninges"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients are transferred from hosp/extram for the diagnosis benign neoplasm of spinal meninges?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"ADMISSION_LOCATION\" = \"TRANSFER FROM HOSP/EXTRAM\" AND DIAGNOSES.\"LONG_TITLE\" = \"Benign neoplasm of spinal meninges\"", "question_refine_tok": ["how", "many", "patients", "are", "transferred", "from", "hosp", "/", "extram", "for", "the", "diagnosis", "benign", "neoplasm", "of", "spinal", "meninges", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMISSION_LOCATION\"", "=", "\"TRANSFER", "FROM", "HOSP/EXTRAM\"", "AND", "DIAGNOSES.\"LONG_TITLE\"", "=", "\"Benign", "neoplasm", "of", "spinal", "meninges\""]}
{"key": "998a9b947bd57f13e2f15614949cfc98", "format": {"table": [0, 2], "cond": [[0, 14, 0, "PHYS REFERRAL/NORMAL DELI"], [2, 3, 0, "Open sigmoidectomy NEC"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many office hospital admission patients had open and other sigmoidectomy?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"ADMISSION_LOCATION\" = \"PHYS REFERRAL/NORMAL DELI\" AND PROCEDURES.\"SHORT_TITLE\" = \"Open sigmoidectomy NEC\"", "question_refine_tok": ["how", "many", "office", "hospital", "admission", "patients", "had", "open", "and", "other", "sigmoidectomy", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMISSION_LOCATION\"", "=", "\"PHYS", "REFERRAL/NORMAL", "DELI\"", "AND", "PROCEDURES.\"SHORT_TITLE\"", "=", "\"Open", "sigmoidectomy", "NEC\""]}
{"key": "9a0c33bd7b634a2f078077e4232eb13e", "format": {"table": [0], "cond": [[0, 15, 0, "HOME"], [0, 22, 2, 2127]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "provide the number of patients admitted before the year 2127 who were discharged at home.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DISCHARGE_LOCATION\" = \"HOME\" AND DEMOGRAPHIC.\"ADMITYEAR\" < \"2127\"", "question_refine_tok": ["provide", "the", "number", "of", "patients", "admitted", "before", "the", "year", "2127", "who", "were", "discharged", "at", "home", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DISCHARGE_LOCATION\"", "=", "\"HOME\"", "AND", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2127\""]}
{"key": "320ec6a220fd138c7ae6aaafe3eb0322", "format": {"table": [0], "cond": [[0, 15, 0, "HOME HEALTH CARE"], [0, 22, 2, 2197]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of home health care discharge patients who were admitted before 2197?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DISCHARGE_LOCATION\" = \"HOME HEALTH CARE\" AND DEMOGRAPHIC.\"ADMITYEAR\" < \"2197\"", "question_refine_tok": ["what", "is", "the", "number", "of", "home", "health", "care", "discharge", "patients", "who", "were", "admitted", "before", "2197", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DISCHARGE_LOCATION\"", "=", "\"HOME", "HEALTH", "CARE\"", "AND", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2197\""]}
{"key": "6a825dbe225f347b421ccde1da8231ed", "format": {"table": [0, 1], "cond": [[0, 15, 0, "REHAB/DISTINCT PART HOSP"], [1, 4, 0, "End stage renal disease"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of patients with end stage renal disease diagnoses who were discharged to skilled nursing facility?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"DISCHARGE_LOCATION\" = \"REHAB/DISTINCT PART HOSP\" AND DIAGNOSES.\"LONG_TITLE\" = \"End stage renal disease\"", "question_refine_tok": ["what", "is", "the", "number", "of", "patients", "with", "end", "stage", "renal", "disease", "diagnoses", "who", "were", "discharged", "to", "skilled", "nursing", "facility", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DISCHARGE_LOCATION\"", "=", "\"REHAB/DISTINCT", "PART", "HOSP\"", "AND", "DIAGNOSES.\"LONG_TITLE\"", "=", "\"End", "stage", "renal", "disease\""]}
{"key": "65872f54a6d403bfaada1cd3a8339ba5", "format": {"table": [0, 1], "cond": [[0, 15, 0, "HOME HEALTH CARE"], [1, 4, 0, "Other abnormal blood chemistry"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "get me the number of home health care discharged patients who were diagnosed with other abnormal blood chemistry.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"DISCHARGE_LOCATION\" = \"HOME HEALTH CARE\" AND DIAGNOSES.\"LONG_TITLE\" = \"Other abnormal blood chemistry\"", "question_refine_tok": ["get", "me", "the", "number", "of", "home", "health", "care", "discharged", "patients", "who", "were", "diagnosed", "with", "other", "abnormal", "blood", "chemistry", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DISCHARGE_LOCATION\"", "=", "\"HOME", "HEALTH", "CARE\"", "AND", "DIAGNOSES.\"LONG_TITLE\"", "=", "\"Other", "abnormal", "blood", "chemistry\""]}
{"key": "43e6a82119c6bdcd0411495c65902694", "format": {"table": [0, 2], "cond": [[0, 15, 0, "HOME"], [2, 3, 0, "Contr cerebr arteriogram"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients are discharged to location home and folowed the procedure contr cerebr arteriogram?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"DISCHARGE_LOCATION\" = \"HOME\" AND PROCEDURES.\"SHORT_TITLE\" = \"Contr cerebr arteriogram\"", "question_refine_tok": ["how", "many", "patients", "are", "discharged", "to", "location", "home", "and", "folowed", "the", "procedure", "contr", "cerebr", "arteriogram", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DISCHARGE_LOCATION\"", "=", "\"HOME\"", "AND", "PROCEDURES.\"SHORT_TITLE\"", "=", "\"Contr", "cerebr", "arteriogram\""]}
{"key": "4e8d520e3862b7e7555bdecd3fa9601d", "format": {"table": [0, 2], "cond": [[0, 15, 0, "HOME HEALTH CARE"], [2, 4, 0, "Percutaneous abdominal drainage"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients with percutaneous abdominal drainage were discharged for home health care?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"DISCHARGE_LOCATION\" = \"HOME HEALTH CARE\" AND PROCEDURES.\"LONG_TITLE\" = \"Percutaneous abdominal drainage\"", "question_refine_tok": ["how", "many", "patients", "with", "percutaneous", "abdominal", "drainage", "were", "discharged", "for", "home", "health", "care", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DISCHARGE_LOCATION\"", "=", "\"HOME", "HEALTH", "CARE\"", "AND", "PROCEDURES.\"LONG_TITLE\"", "=", "\"Percutaneous", "abdominal", "drainage\""]}
{"key": "4d88b09a983553a916b26a52c1bd8101", "format": {"table": [0, 4], "cond": [[0, 15, 0, "SHORT TERM HOSPITAL"], [4, 6, 0, "Potassium, Whole Blood"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients have been discharged to short term hospital and have had the lab test potassium, whole blood?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"DISCHARGE_LOCATION\" = \"SHORT TERM HOSPITAL\" AND LAB.\"LABEL\" = \"Potassium, Whole Blood\"", "question_refine_tok": ["how", "many", "patients", "have", "been", "discharged", "to", "short", "term", "hospital", "and", "have", "had", "the", "lab", "test", "potassium", ",", "whole", "blood", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DISCHARGE_LOCATION\"", "=", "\"SHORT", "TERM", "HOSPITAL\"", "AND", "LAB.\"LABEL\"", "=", "\"Potassium,", "Whole", "Blood\""]}
{"key": "d5255cb3890ee87d8b5a8f22a664d49b", "format": {"table": [0, 4], "cond": [[0, 15, 0, "SNF"], [4, 6, 0, "Magnesium"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients who had magnesium lab test have been discharged to snf?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"DISCHARGE_LOCATION\" = \"SNF\" AND LAB.\"LABEL\" = \"Magnesium\"", "question_refine_tok": ["how", "many", "patients", "who", "had", "magnesium", "lab", "test", "have", "been", "discharged", "to", "snf", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DISCHARGE_LOCATION\"", "=", "\"SNF\"", "AND", "LAB.\"LABEL\"", "=", "\"Magnesium\""]}
{"key": "34b4777c020a39e5a4f5c900a97cf165", "format": {"table": [0, 4], "cond": [[0, 15, 0, "HOME HEALTH CARE"], [4, 6, 0, "Urea Nitrogen"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients are discharged to home health care and tested for urea nitrogen in lab?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"DISCHARGE_LOCATION\" = \"HOME HEALTH CARE\" AND LAB.\"LABEL\" = \"Urea Nitrogen\"", "question_refine_tok": ["how", "many", "patients", "are", "discharged", "to", "home", "health", "care", "and", "tested", "for", "urea", "nitrogen", "in", "lab", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DISCHARGE_LOCATION\"", "=", "\"HOME", "HEALTH", "CARE\"", "AND", "LAB.\"LABEL\"", "=", "\"Urea", "Nitrogen\""]}
{"key": "1c366aa881c41a5cfdef46c214ab1d01", "format": {"table": [0, 4], "cond": [[0, 15, 0, "HOME HEALTH CARE"], [4, 6, 0, "Amylase"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what number of patients were discharged at home health care and their lab test name is amylase?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"DISCHARGE_LOCATION\" = \"HOME HEALTH CARE\" AND LAB.\"LABEL\" = \"Amylase\"", "question_refine_tok": ["what", "number", "of", "patients", "were", "discharged", "at", "home", "health", "care", "and", "their", "lab", "test", "name", "is", "amylase", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DISCHARGE_LOCATION\"", "=", "\"HOME", "HEALTH", "CARE\"", "AND", "LAB.\"LABEL\"", "=", "\"Amylase\""]}
{"key": "a3385d79378cb67adc14e2dc099b0dc8", "format": {"table": [0], "cond": [[0, 16, 0, "ATRIAL SEPTAL DEFECT\\MITRAL VALVE REPLACEMENT;REPAIR ATRIAL-SEPTAL DEFECT/SDA"], [0, 18, 2, 2111]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients are diagnosed with primary disease atrial septal defect\\mitral valve replacement;repair atrial-septal defect/sda and are born before 2111?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"ATRIAL SEPTAL DEFECT\\MITRAL VALVE REPLACEMENT;REPAIR ATRIAL-SEPTAL DEFECT/SDA\" AND DEMOGRAPHIC.\"DOB_YEAR\" < \"2111\"", "question_refine_tok": ["how", "many", "patients", "are", "diagnosed", "with", "primary", "disease", "atrial", "septal", "defect\\mitral", "valve", "replacement;repair", "atrial", "-", "septal", "defect", "/", "sda", "and", "are", "born", "before", "2111", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"ATRIAL", "SEPTAL", "DEFECT\\MITRAL", "VALVE", "REPLACEMENT;REPAIR", "ATRIAL-SEPTAL", "DEFECT/SDA\"", "AND", "DEMOGRAPHIC.\"DOB_YEAR\"", "<", "\"2111\""]}
{"key": "004e15549efa158919db8e3a7a1cb48a", "format": {"table": [0], "cond": [[0, 16, 0, "ATRIAL SEPTAL DEFECT\\MITRAL VALVE REPLACEMENT;REPAIR ATRIAL-SEPTAL DEFECT/SDA"], [0, 18, 2, 2080]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of patients whose primary disease is atrial septal defect/mitral valve replacement; repair atrial-septal defect/sda and born before the year 2080?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"ATRIAL SEPTAL DEFECT\\MITRAL VALVE REPLACEMENT;REPAIR ATRIAL-SEPTAL DEFECT/SDA\" AND DEMOGRAPHIC.\"DOB_YEAR\" < \"2080\"", "question_refine_tok": ["what", "is", "the", "number", "of", "patients", "whose", "primary", "disease", "is", "atrial", "septal", "defect", "/", "mitral", "valve", "replacement", ";", "repair", "atrial", "-", "septal", "defect", "/", "sda", "and", "born", "before", "the", "year", "2080", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"ATRIAL", "SEPTAL", "DEFECT\\MITRAL", "VALVE", "REPLACEMENT;REPAIR", "ATRIAL-SEPTAL", "DEFECT/SDA\"", "AND", "DEMOGRAPHIC.\"DOB_YEAR\"", "<", "\"2080\""]}
{"key": "cd933004e6ccb59a2de1b3e604b83e0c", "format": {"table": [0], "cond": [[0, 16, 0, "BLADDER CANCER/SDA"], [0, 18, 2, 2076]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients diagnosed with bladder cancer/sda were born before the year 2076?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"BLADDER CANCER/SDA\" AND DEMOGRAPHIC.\"DOB_YEAR\" < \"2076\"", "question_refine_tok": ["how", "many", "patients", "diagnosed", "with", "bladder", "cancer", "/", "sda", "were", "born", "before", "the", "year", "2076", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"BLADDER", "CANCER/SDA\"", "AND", "DEMOGRAPHIC.\"DOB_YEAR\"", "<", "\"2076\""]}
{"key": "d892c72092dfc4de36c51228186d6066", "format": {"table": [0], "cond": [[0, 16, 0, "SQUAMOUS CELL CARCINOMA ORAL TONGUE/SDA"], [0, 22, 2, 2176]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "among patients admitted in the year less than 2176, how many had squamous cell carcinoma oral tongue/sda as primary disease?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"SQUAMOUS CELL CARCINOMA ORAL TONGUE/SDA\" AND DEMOGRAPHIC.\"ADMITYEAR\" < \"2176\"", "question_refine_tok": ["among", "patients", "admitted", "in", "the", "year", "less", "than", "2176", ",", "how", "many", "had", "squamous", "cell", "carcinoma", "oral", "tongue", "/", "sda", "as", "primary", "disease", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"SQUAMOUS", "CELL", "CARCINOMA", "ORAL", "TONGUE/SDA\"", "AND", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2176\""]}
{"key": "744aa87f4d7fa5f348d8316d2d8afd24", "format": {"table": [0], "cond": [[0, 16, 0, "ST ELEVATED MYOCARDIAL INFARCTION\\CARDIAC CATH"], [0, 22, 2, 2197]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many of the patients admitted in the year less than 2197 had st elevated myocardial infarction\\cardiac cath as primary disease?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"ST ELEVATED MYOCARDIAL INFARCTION\\CARDIAC CATH\" AND DEMOGRAPHIC.\"ADMITYEAR\" < \"2197\"", "question_refine_tok": ["how", "many", "of", "the", "patients", "admitted", "in", "the", "year", "less", "than", "2197", "had", "st", "elevated", "myocardial", "infarction\\cardiac", "cath", "as", "primary", "disease", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"ST", "ELEVATED", "MYOCARDIAL", "INFARCTION\\CARDIAC", "CATH\"", "AND", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2197\""]}
{"key": "2d3b775e31bea2b9b0529d67f630776c", "format": {"table": [0], "cond": [[0, 16, 0, "NEOPLASM OF UNCERTAIN BEHAVIOR OF OTHER LYMPHATIC AND HEMATOPOIETIC TISSUES\\BONE MARROW TRANSPLANT"], [0, 22, 2, 2197]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of patients with primary disease neoplasm of uncertain behavior of other lymphatic and hematopoietic tissues/bone marrow transplant who were admitted before 2197?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"NEOPLASM OF UNCERTAIN BEHAVIOR OF OTHER LYMPHATIC AND HEMATOPOIETIC TISSUES\\BONE MARROW TRANSPLANT\" AND DEMOGRAPHIC.\"ADMITYEAR\" < \"2197\"", "question_refine_tok": ["what", "is", "the", "number", "of", "patients", "with", "primary", "disease", "neoplasm", "of", "uncertain", "behavior", "of", "other", "lymphatic", "and", "hematopoietic", "tissues", "/", "bone", "marrow", "transplant", "who", "were", "admitted", "before", "2197", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"NEOPLASM", "OF", "UNCERTAIN", "BEHAVIOR", "OF", "OTHER", "LYMPHATIC", "AND", "HEMATOPOIETIC", "TISSUES\\BONE", "MARROW", "TRANSPLANT\"", "AND", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2197\""]}
{"key": "e2845d92a8e22fb2dd1a0ce51efe7955", "format": {"table": [0, 4], "cond": [[0, 16, 0, "ACIDOSIS"], [4, 8, 0, "Blood Gas"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of patients whose primary disease is acidosis and lab test category is blood gas.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"ACIDOSIS\" AND LAB.\"CATEGORY\" = \"Blood Gas\"", "question_refine_tok": ["count", "the", "number", "of", "patients", "whose", "primary", "disease", "is", "acidosis", "and", "lab", "test", "category", "is", "blood", "gas", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"ACIDOSIS\"", "AND", "LAB.\"CATEGORY\"", "=", "\"Blood", "Gas\""]}
{"key": "0f52521f5ea1770fc02a961152aadaca", "format": {"table": [0], "cond": [[0, 4, 2, 71], [0, 19, 4, 2132.0]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of patients whose age is below 71 and died in or before 2132?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"AGE\" < \"71\" AND DEMOGRAPHIC.\"DOD_YEAR\" <= \"2132.0\"", "question_refine_tok": ["what", "is", "the", "number", "of", "patients", "whose", "age", "is", "below", "71", "and", "died", "in", "or", "before", "2132", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"AGE\"", "<", "\"71\"", "AND", "DEMOGRAPHIC.\"DOD_YEAR\"", "<=", "\"2132.0\""]}
{"key": "45b716ad117e99ff3fdde000e5d43e74", "format": {"table": [0, 1], "cond": [[0, 4, 2, 61], [1, 3, 0, "Crnry athrscl natve vssl"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "give me the number of patients less than 61 years diagnosed with crnry athrscl natve vssl.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"AGE\" < \"61\" AND DIAGNOSES.\"SHORT_TITLE\" = \"Crnry athrscl natve vssl\"", "question_refine_tok": ["give", "me", "the", "number", "of", "patients", "less", "than", "61", "years", "diagnosed", "with", "crnry", "athrscl", "natve", "vssl", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"AGE\"", "<", "\"61\"", "AND", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"Crnry", "athrscl", "natve", "vssl\""]}
{"key": "7c73edb2653c289df859f23bb5e2e056", "format": {"table": [0, 2], "cond": [[0, 4, 2, 77], [2, 3, 0, "Radiotherapeut proc NEC"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients below 77 years of age have had the procedure with short title radiotherapeutic proc nec?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"AGE\" < \"77\" AND PROCEDURES.\"SHORT_TITLE\" = \"Radiotherapeut proc NEC\"", "question_refine_tok": ["how", "many", "patients", "below", "77", "years", "of", "age", "have", "had", "the", "procedure", "with", "short", "title", "radiotherapeutic", "proc", "nec", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"AGE\"", "<", "\"77\"", "AND", "PROCEDURES.\"SHORT_TITLE\"", "=", "\"Radiotherapeut", "proc", "NEC\""]}
{"key": "c01caaaf4c6865342b4df70a49492302", "format": {"table": [0, 2], "cond": [[0, 4, 2, 86], [2, 3, 0, "Infusion of vasopressor"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "calculate the number of patients aged below 86 who had an infusion of vasopressor", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"AGE\" < \"86\" AND PROCEDURES.\"SHORT_TITLE\" = \"Infusion of vasopressor\"", "question_refine_tok": ["calculate", "the", "number", "of", "patients", "aged", "below", "86", "who", "had", "an", "infusion", "of", "vasopressor"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"AGE\"", "<", "\"86\"", "AND", "PROCEDURES.\"SHORT_TITLE\"", "=", "\"Infusion", "of", "vasopressor\""]}
{"key": "7ccdd7b1f30baf6477c4ac6d5157a8a4", "format": {"table": [0, 2], "cond": [[0, 4, 2, 82], [2, 3, 0, "Extracorporeal circulat"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients below 82 years of age have undergone the procedure with short title extracorporeal circulat?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"AGE\" < \"82\" AND PROCEDURES.\"SHORT_TITLE\" = \"Extracorporeal circulat\"", "question_refine_tok": ["how", "many", "patients", "below", "82", "years", "of", "age", "have", "undergone", "the", "procedure", "with", "short", "title", "extracorporeal", "circulat", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"AGE\"", "<", "\"82\"", "AND", "PROCEDURES.\"SHORT_TITLE\"", "=", "\"Extracorporeal", "circulat\""]}
{"key": "c5757e98989feb590e380f0f2a73eb93", "format": {"table": [0, 2], "cond": [[0, 4, 2, 74], [2, 3, 0, "Form cutan ileoureterost"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients aged below 74 years had the procedure short title form cutan ileoureterost?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"AGE\" < \"74\" AND PROCEDURES.\"SHORT_TITLE\" = \"Form cutan ileoureterost\"", "question_refine_tok": ["how", "many", "patients", "aged", "below", "74", "years", "had", "the", "procedure", "short", "title", "form", "cutan", "ileoureterost", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"AGE\"", "<", "\"74\"", "AND", "PROCEDURES.\"SHORT_TITLE\"", "=", "\"Form", "cutan", "ileoureterost\""]}
{"key": "274498730408f1e7a718a50f91e7cf41", "format": {"table": [0, 2], "cond": [[0, 4, 2, 45], [2, 4, 0, "Parenteral infusion of concentrated nutritional substances"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients aged below 45 years have parenteral infusion of concentrated nutritional substances as the procedure long title?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"AGE\" < \"45\" AND PROCEDURES.\"LONG_TITLE\" = \"Parenteral infusion of concentrated nutritional substances\"", "question_refine_tok": ["how", "many", "patients", "aged", "below", "45", "years", "have", "parenteral", "infusion", "of", "concentrated", "nutritional", "substances", "as", "the", "procedure", "long", "title", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"AGE\"", "<", "\"45\"", "AND", "PROCEDURES.\"LONG_TITLE\"", "=", "\"Parenteral", "infusion", "of", "concentrated", "nutritional", "substances\""]}
{"key": "4a51228f7dbc72ddd37d742e614b31a9", "format": {"table": [0, 2], "cond": [[0, 4, 2, 55], [2, 4, 0, "Venous catheterization, not elsewhere classified"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients aged below 55 had venous catheterization, not elsewhere classified?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"AGE\" < \"55\" AND PROCEDURES.\"LONG_TITLE\" = \"Venous catheterization, not elsewhere classified\"", "question_refine_tok": ["how", "many", "patients", "aged", "below", "55", "had", "venous", "catheterization", ",", "not", "elsewhere", "classified", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"AGE\"", "<", "\"55\"", "AND", "PROCEDURES.\"LONG_TITLE\"", "=", "\"Venous", "catheterization,", "not", "elsewhere", "classified\""]}
{"key": "92a6c58ae58749da16911dc25befcc1b", "format": {"table": [0, 1], "cond": [[0, 10, 1, 15], [1, 3, 0, "Respiratory distress syn"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients stayed in hospital above 15 days and diagnosed for respiratory distress syn?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"DAYS_STAY\" > \"15\" AND DIAGNOSES.\"SHORT_TITLE\" = \"Respiratory distress syn\"", "question_refine_tok": ["how", "many", "patients", "stayed", "in", "hospital", "above", "15", "days", "and", "diagnosed", "for", "respiratory", "distress", "syn", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DAYS_STAY\"", ">", "\"15\"", "AND", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"Respiratory", "distress", "syn\""]}
{"key": "5ef5c1b20f8606b382ae2da773c894fe", "format": {"table": [0, 1], "cond": [[0, 10, 1, 15], [1, 4, 0, "Respiratory distress syndrome in newborn"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients stayed in hospital above 15 days and diagnosed with respiratory distress syndrome in newborn?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"DAYS_STAY\" > \"15\" AND DIAGNOSES.\"LONG_TITLE\" = \"Respiratory distress syndrome in newborn\"", "question_refine_tok": ["how", "many", "patients", "stayed", "in", "hospital", "above", "15", "days", "and", "diagnosed", "with", "respiratory", "distress", "syndrome", "in", "newborn", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DAYS_STAY\"", ">", "\"15\"", "AND", "DIAGNOSES.\"LONG_TITLE\"", "=", "\"Respiratory", "distress", "syndrome", "in", "newborn\""]}
{"key": "b2e934b773dfc1622ee1e085f77413e1", "format": {"table": [0, 2], "cond": [[0, 10, 1, 5], [2, 3, 0, "Cardiac mapping"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "find the number of patients who stayed more than 5 days in the hospital and had cardiac mapping procedure.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"DAYS_STAY\" > \"5\" AND PROCEDURES.\"SHORT_TITLE\" = \"Cardiac mapping\"", "question_refine_tok": ["find", "the", "number", "of", "patients", "who", "stayed", "more", "than", "5", "days", "in", "the", "hospital", "and", "had", "cardiac", "mapping", "procedure", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DAYS_STAY\"", ">", "\"5\"", "AND", "PROCEDURES.\"SHORT_TITLE\"", "=", "\"Cardiac", "mapping\""]}
{"key": "fad24dd6eb2199496ab48e9f939bbcbf", "format": {"table": [0, 2], "cond": [[0, 10, 1, 29], [2, 3, 0, "Other phototherapy"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "report the number of patients who had other phototherapy and were hospitalized for more than 29 days.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"DAYS_STAY\" > \"29\" AND PROCEDURES.\"SHORT_TITLE\" = \"Other phototherapy\"", "question_refine_tok": ["report", "the", "number", "of", "patients", "who", "had", "other", "phototherapy", "and", "were", "hospitalized", "for", "more", "than", "29", "days", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DAYS_STAY\"", ">", "\"29\"", "AND", "PROCEDURES.\"SHORT_TITLE\"", "=", "\"Other", "phototherapy\""]}
{"key": "da72dd6f1a919dd214205ddd76c1fecb", "format": {"table": [0, 2], "cond": [[0, 10, 1, 7], [2, 3, 0, "Opn rt hemicolectomy NEC"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients with opn rt hemicolectomy nec remained admitted in hospital for more thn 7 days?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"DAYS_STAY\" > \"7\" AND PROCEDURES.\"SHORT_TITLE\" = \"Opn rt hemicolectomy NEC\"", "question_refine_tok": ["how", "many", "patients", "with", "opn", "rt", "hemicolectomy", "nec", "remained", "admitted", "in", "hospital", "for", "more", "thn", "7", "days", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DAYS_STAY\"", ">", "\"7\"", "AND", "PROCEDURES.\"SHORT_TITLE\"", "=", "\"Opn", "rt", "hemicolectomy", "NEC\""]}
{"key": "edd66e573f04138db3a6391166bb738f", "format": {"table": [0, 2], "cond": [[0, 10, 1, 2], [2, 3, 0, "Spinal tap"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients stayed in hospital for more than 1 day and have undergone the procedure spinal tap?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"DAYS_STAY\" > \"2\" AND PROCEDURES.\"SHORT_TITLE\" = \"Spinal tap\"", "question_refine_tok": ["how", "many", "patients", "stayed", "in", "hospital", "for", "more", "than", "1", "day", "and", "have", "undergone", "the", "procedure", "spinal", "tap", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DAYS_STAY\"", ">", "\"2\"", "AND", "PROCEDURES.\"SHORT_TITLE\"", "=", "\"Spinal", "tap\""]}
{"key": "54ce39f4c645005a3d17f0482e1f5383", "format": {"table": [0, 2], "cond": [[0, 10, 1, 6], [2, 4, 0, "(Aorto)coronary bypass of two coronary arteries"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients who had (aorto)coronary bypass of two coronary arteries were hospitalized for more than 6 days?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"DAYS_STAY\" > \"6\" AND PROCEDURES.\"LONG_TITLE\" = \"(Aorto)coronary bypass of two coronary arteries\"", "question_refine_tok": ["how", "many", "patients", "who", "had", "(", "aorto)coronary", "bypass", "of", "two", "coronary", "arteries", "were", "hospitalized", "for", "more", "than", "6", "days", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DAYS_STAY\"", ">", "\"6\"", "AND", "PROCEDURES.\"LONG_TITLE\"", "=", "\"(Aorto)coronary", "bypass", "of", "two", "coronary", "arteries\""]}
{"key": "2a44491d8c1d55c9e20cc1d2115c84b6", "format": {"table": [0, 2], "cond": [[0, 10, 1, 6], [2, 4, 0, "Biopsy of bone marrow"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "find the number of patients who had biopsy of bone marrow and stayed in the hospital for more than 6 days.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"DAYS_STAY\" > \"6\" AND PROCEDURES.\"LONG_TITLE\" = \"Biopsy of bone marrow\"", "question_refine_tok": ["find", "the", "number", "of", "patients", "who", "had", "biopsy", "of", "bone", "marrow", "and", "stayed", "in", "the", "hospital", "for", "more", "than", "6", "days", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DAYS_STAY\"", ">", "\"6\"", "AND", "PROCEDURES.\"LONG_TITLE\"", "=", "\"Biopsy", "of", "bone", "marrow\""]}
{"key": "ec3578b74ba125edb15c75d2607c6cf9", "format": {"table": [0, 3], "cond": [[0, 10, 1, 11], [3, 3, 0, "BASE"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of patients who were prescribed base drug type and stayed in hospital for more than 11 days.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"DAYS_STAY\" > \"11\" AND PRESCRIPTIONS.\"DRUG_TYPE\" = \"BASE\"", "question_refine_tok": ["count", "the", "number", "of", "patients", "who", "were", "prescribed", "base", "drug", "type", "and", "stayed", "in", "hospital", "for", "more", "than", "11", "days", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DAYS_STAY\"", ">", "\"11\"", "AND", "PRESCRIPTIONS.\"DRUG_TYPE\"", "=", "\"BASE\""]}
{"key": "5e6ab8dcf34686e60141577187a71e1a", "format": {"table": [0, 3], "cond": [[0, 10, 1, 15], [3, 4, 0, "Niacin"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what number of patients whose hospital stay is more than 15 days were given the drug named niacin?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"DAYS_STAY\" > \"15\" AND PRESCRIPTIONS.\"DRUG\" = \"Niacin\"", "question_refine_tok": ["what", "number", "of", "patients", "whose", "hospital", "stay", "is", "more", "than", "15", "days", "were", "given", "the", "drug", "named", "niacin", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DAYS_STAY\"", ">", "\"15\"", "AND", "PRESCRIPTIONS.\"DRUG\"", "=", "\"Niacin\""]}
{"key": "5b7f935ce9adca07af6a6c23b56638cb", "format": {"table": [0, 3], "cond": [[0, 10, 1, 0], [3, 4, 0, "Morphine Sulfate SR"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients stayed in the hospital for one or more days and were prescribed the drug morphine sulfate sr?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"DAYS_STAY\" > \"0\" AND PRESCRIPTIONS.\"DRUG\" = \"Morphine Sulfate SR\"", "question_refine_tok": ["how", "many", "patients", "stayed", "in", "the", "hospital", "for", "one", "or", "more", "days", "and", "were", "prescribed", "the", "drug", "morphine", "sulfate", "sr", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DAYS_STAY\"", ">", "\"0\"", "AND", "PRESCRIPTIONS.\"DRUG\"", "=", "\"Morphine", "Sulfate", "SR\""]}
{"key": "9ab6a58eb013a46ef1c98284ab40987b", "format": {"table": [0, 3], "cond": [[0, 10, 1, 4], [3, 4, 0, "Labetalol HCl"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what number of patients who stayed in the hospital for more than 4 days were given the drug labetol hcl?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"DAYS_STAY\" > \"4\" AND PRESCRIPTIONS.\"DRUG\" = \"Labetalol HCl\"", "question_refine_tok": ["what", "number", "of", "patients", "who", "stayed", "in", "the", "hospital", "for", "more", "than", "4", "days", "were", "given", "the", "drug", "labetol", "hcl", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DAYS_STAY\"", ">", "\"4\"", "AND", "PRESCRIPTIONS.\"DRUG\"", "=", "\"Labetalol", "HCl\""]}
{"key": "64cc3596a548562a8c01ff418c4ee9b3", "format": {"table": [0, 3], "cond": [[0, 10, 1, 13], [3, 4, 0, "Caphosol"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what number of patients who stayed in the hospital for more than 13 days had the drug caphosol?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"DAYS_STAY\" > \"13\" AND PRESCRIPTIONS.\"DRUG\" = \"Caphosol\"", "question_refine_tok": ["what", "number", "of", "patients", "who", "stayed", "in", "the", "hospital", "for", "more", "than", "13", "days", "had", "the", "drug", "caphosol", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DAYS_STAY\"", ">", "\"13\"", "AND", "PRESCRIPTIONS.\"DRUG\"", "=", "\"Caphosol\""]}
{"key": "a415eda2df097352c6343efd2ee4bbe4", "format": {"table": [0, 3], "cond": [[0, 10, 1, 0], [3, 4, 0, "traMADOL"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients who stayed in the hospital for one or more than one day(s) were given tramadol?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"DAYS_STAY\" > \"0\" AND PRESCRIPTIONS.\"DRUG\" = \"traMADOL\"", "question_refine_tok": ["how", "many", "patients", "who", "stayed", "in", "the", "hospital", "for", "one", "or", "more", "than", "one", "day(s", ")", "were", "given", "tramadol", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DAYS_STAY\"", ">", "\"0\"", "AND", "PRESCRIPTIONS.\"DRUG\"", "=", "\"traMADOL\""]}
{"key": "8e0c76af70f5b05acc0242926ecc6ff4", "format": {"table": [0, 3], "cond": [[0, 10, 1, 0], [3, 6, 0, "NEB"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "give me the number of patients taking drug via nebulizer who have never been hospitalized.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"DAYS_STAY\" > \"0\" AND PRESCRIPTIONS.\"ROUTE\" = \"NEB\"", "question_refine_tok": ["give", "me", "the", "number", "of", "patients", "taking", "drug", "via", "nebulizer", "who", "have", "never", "been", "hospitalized", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DAYS_STAY\"", ">", "\"0\"", "AND", "PRESCRIPTIONS.\"ROUTE\"", "=", "\"NEB\""]}
{"key": "e2d7bcf72c5dce16fcd3f458084d78e0", "format": {"table": [0, 3], "cond": [[0, 10, 1, 10], [3, 6, 0, "BOTH EYES"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "among patients who remained admitted in hospital for more than 10 days, how many of them got drug administered in both eyes?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"DAYS_STAY\" > \"10\" AND PRESCRIPTIONS.\"ROUTE\" = \"BOTH EYES\"", "question_refine_tok": ["among", "patients", "who", "remained", "admitted", "in", "hospital", "for", "more", "than", "10", "days", ",", "how", "many", "of", "them", "got", "drug", "administered", "in", "both", "eyes", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DAYS_STAY\"", ">", "\"10\"", "AND", "PRESCRIPTIONS.\"ROUTE\"", "=", "\"BOTH", "EYES\""]}
{"key": "d3428aee12282ed3d96fc2ac82f5aef3", "format": {"table": [0, 3], "cond": [[0, 10, 1, 16], [3, 6, 0, "PO"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many of the patients on po therapy remained admitted for more than 16 days in the hospital?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"DAYS_STAY\" > \"16\" AND PRESCRIPTIONS.\"ROUTE\" = \"PO\"", "question_refine_tok": ["how", "many", "of", "the", "patients", "on", "po", "therapy", "remained", "admitted", "for", "more", "than", "16", "days", "in", "the", "hospital", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DAYS_STAY\"", ">", "\"16\"", "AND", "PRESCRIPTIONS.\"ROUTE\"", "=", "\"PO\""]}
{"key": "e5f5274d588a769185ea1aff4493990e", "format": {"table": [0, 3], "cond": [[0, 10, 1, 34], [3, 6, 0, "BOTH EYES"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients have stayed in the hospital for more than 34 days with a drug route both eyes?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"DAYS_STAY\" > \"34\" AND PRESCRIPTIONS.\"ROUTE\" = \"BOTH EYES\"", "question_refine_tok": ["how", "many", "patients", "have", "stayed", "in", "the", "hospital", "for", "more", "than", "34", "days", "with", "a", "drug", "route", "both", "eyes", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DAYS_STAY\"", ">", "\"34\"", "AND", "PRESCRIPTIONS.\"ROUTE\"", "=", "\"BOTH", "EYES\""]}
{"key": "4100094ccb9dadf414d4b4c2e39f4151", "format": {"table": [0, 1], "cond": [[0, 22, 2, 2139], [1, 3, 0, "Candidias urogenital NEC"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients are admitted before the year 2139 and diagnosed with candidias urogenital nec?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"ADMITYEAR\" < \"2139\" AND DIAGNOSES.\"SHORT_TITLE\" = \"Candidias urogenital NEC\"", "question_refine_tok": ["how", "many", "patients", "are", "admitted", "before", "the", "year", "2139", "and", "diagnosed", "with", "candidias", "urogenital", "nec", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2139\"", "AND", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"Candidias", "urogenital", "NEC\""]}
{"key": "427da425361dfd47817abf1e80ff1d8a", "format": {"table": [0, 1], "cond": [[0, 22, 2, 2154], [1, 3, 0, "Abn reac-organ rem NEC"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of patients admitted before 2154 who were diagnosed with removal of other organ (partial) (total) causing abnormal patient reaction, or later complication, without mention of misadventure at time of operation?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"ADMITYEAR\" < \"2154\" AND DIAGNOSES.\"SHORT_TITLE\" = \"Abn reac-organ rem NEC\"", "question_refine_tok": ["what", "is", "the", "number", "of", "patients", "admitted", "before", "2154", "who", "were", "diagnosed", "with", "removal", "of", "other", "organ", "(", "partial", ")", "(", "total", ")", "causing", "abnormal", "patient", "reaction", ",", "or", "later", "complication", ",", "without", "mention", "of", "misadventure", "at", "time", "of", "operation", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2154\"", "AND", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"Abn", "reac-organ", "rem", "NEC\""]}
{"key": "84e3ae614ae99e12df74dda2de7207cd", "format": {"table": [0, 1], "cond": [[0, 22, 2, 2152], [1, 3, 0, "BPH w/o urinary obs/LUTS"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of patients admitted before 2152 who have been diagnosed with benign prostatic hypertrophy without urinary obstruction and other lower urinary tract symptoms?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"ADMITYEAR\" < \"2152\" AND DIAGNOSES.\"SHORT_TITLE\" = \"BPH w/o urinary obs/LUTS\"", "question_refine_tok": ["what", "is", "the", "number", "of", "patients", "admitted", "before", "2152", "who", "have", "been", "diagnosed", "with", "benign", "prostatic", "hypertrophy", "without", "urinary", "obstruction", "and", "other", "lower", "urinary", "tract", "symptoms", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2152\"", "AND", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"BPH", "w/o", "urinary", "obs/LUTS\""]}
{"key": "db7a11da647849c970fe662b44253b89", "format": {"table": [0, 1], "cond": [[0, 22, 2, 2168], [1, 3, 0, "Other postop infection"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients admitted before the year 2168 have diagnosis short title as other postop infection/", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"ADMITYEAR\" < \"2168\" AND DIAGNOSES.\"SHORT_TITLE\" = \"Other postop infection\"", "question_refine_tok": ["how", "many", "patients", "admitted", "before", "the", "year", "2168", "have", "diagnosis", "short", "title", "as", "other", "postop", "infection/"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2168\"", "AND", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"Other", "postop", "infection\""]}
{"key": "e94ddc0420bacde468a4aeb09dfd31aa", "format": {"table": [0, 1], "cond": [[0, 22, 2, 2119], [1, 3, 0, "Septic shock"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "provide the number of patients admitted before 2119 who were diagnosed with septic shock.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"ADMITYEAR\" < \"2119\" AND DIAGNOSES.\"SHORT_TITLE\" = \"Septic shock\"", "question_refine_tok": ["provide", "the", "number", "of", "patients", "admitted", "before", "2119", "who", "were", "diagnosed", "with", "septic", "shock", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2119\"", "AND", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"Septic", "shock\""]}
{"key": "82aadfda89214e944236208a17e79c41", "format": {"table": [0, 1], "cond": [[0, 22, 2, 2156], [1, 3, 0, "End stage renal disease"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients are admitted before 2156 and diagnosed with end stage renal disease?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"ADMITYEAR\" < \"2156\" AND DIAGNOSES.\"SHORT_TITLE\" = \"End stage renal disease\"", "question_refine_tok": ["how", "many", "patients", "are", "admitted", "before", "2156", "and", "diagnosed", "with", "end", "stage", "renal", "disease", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2156\"", "AND", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"End", "stage", "renal", "disease\""]}
{"key": "0f533a4efe5b16ca5cac6a6fd8a1fa29", "format": {"table": [0, 1], "cond": [[0, 22, 2, 2167], [1, 3, 0, "Pressure ulcer, hip"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients diagnosed with hip pressure ulcer were admitted in hospital before 2167?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"ADMITYEAR\" < \"2167\" AND DIAGNOSES.\"SHORT_TITLE\" = \"Pressure ulcer, hip\"", "question_refine_tok": ["how", "many", "patients", "diagnosed", "with", "hip", "pressure", "ulcer", "were", "admitted", "in", "hospital", "before", "2167", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2167\"", "AND", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"Pressure", "ulcer,", "hip\""]}
{"key": "f56e7c7d02d1680bf0394fcb4c7b8c09", "format": {"table": [0, 2], "cond": [[0, 22, 2, 2195], [2, 3, 0, "Clo endosc bx bile duct"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "give the number of patients who were admitted beofre the year 2195 and whose procedure short title is clo endosc bx bile duct.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"ADMITYEAR\" < \"2195\" AND PROCEDURES.\"SHORT_TITLE\" = \"Clo endosc bx bile duct\"", "question_refine_tok": ["give", "the", "number", "of", "patients", "who", "were", "admitted", "beofre", "the", "year", "2195", "and", "whose", "procedure", "short", "title", "is", "clo", "endosc", "bx", "bile", "duct", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2195\"", "AND", "PROCEDURES.\"SHORT_TITLE\"", "=", "\"Clo", "endosc", "bx", "bile", "duct\""]}
{"key": "70ee482c276557d3a4ecc22a8d53d243", "format": {"table": [0, 2], "cond": [[0, 22, 2, 2180], [2, 3, 0, "Thoracentesis"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients who had thoracentesis procedure were admitted to hospital before 2180?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"ADMITYEAR\" < \"2180\" AND PROCEDURES.\"SHORT_TITLE\" = \"Thoracentesis\"", "question_refine_tok": ["how", "many", "patients", "who", "had", "thoracentesis", "procedure", "were", "admitted", "to", "hospital", "before", "2180", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2180\"", "AND", "PROCEDURES.\"SHORT_TITLE\"", "=", "\"Thoracentesis\""]}
{"key": "62fdce6133fee96a3bf2be9a1f58f1bf", "format": {"table": [0, 2], "cond": [[0, 22, 2, 2162], [2, 3, 0, "Int insert dual-cham dev"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients admitted before 2162 had procedure title int insert dual- cham dev?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"ADMITYEAR\" < \"2162\" AND PROCEDURES.\"SHORT_TITLE\" = \"Int insert dual-cham dev\"", "question_refine_tok": ["how", "many", "patients", "admitted", "before", "2162", "had", "procedure", "title", "int", "insert", "dual-", "cham", "dev", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2162\"", "AND", "PROCEDURES.\"SHORT_TITLE\"", "=", "\"Int", "insert", "dual-cham", "dev\""]}
{"key": "12c4d44e08657ce2af64038c15943b02", "format": {"table": [0, 2], "cond": [[0, 22, 2, 2123], [2, 4, 0, "Percutaneous transluminal coronary angioplasty [PTCA]"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of patients admitted before 2123 who had percutaneous transluminal coronary angioplasty [ptca]?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"ADMITYEAR\" < \"2123\" AND PROCEDURES.\"LONG_TITLE\" = \"Percutaneous transluminal coronary angioplasty [PTCA]\"", "question_refine_tok": ["what", "is", "the", "number", "of", "patients", "admitted", "before", "2123", "who", "had", "percutaneous", "transluminal", "coronary", "angioplasty", "[", "ptca", "]", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2123\"", "AND", "PROCEDURES.\"LONG_TITLE\"", "=", "\"Percutaneous", "transluminal", "coronary", "angioplasty", "[PTCA]\""]}
{"key": "94e25e541838cbaa3cbd811f8910b79e", "format": {"table": [0, 2], "cond": [[0, 22, 2, 2139], [2, 4, 0, "Other closed [endoscopic] biopsy of biliary duct or sphincter of Oddi"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of patients who were admitted before year 2139 and whose procedure long title is other closed [endoscopic] biopsy of biliary duct or sphincter of oddi?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"ADMITYEAR\" < \"2139\" AND PROCEDURES.\"LONG_TITLE\" = \"Other closed [endoscopic] biopsy of biliary duct or sphincter of Oddi\"", "question_refine_tok": ["what", "is", "the", "number", "of", "patients", "who", "were", "admitted", "before", "year", "2139", "and", "whose", "procedure", "long", "title", "is", "other", "closed", "[", "endoscopic", "]", "biopsy", "of", "biliary", "duct", "or", "sphincter", "of", "oddi", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2139\"", "AND", "PROCEDURES.\"LONG_TITLE\"", "=", "\"Other", "closed", "[endoscopic]", "biopsy", "of", "biliary", "duct", "or", "sphincter", "of", "Oddi\""]}
{"key": "2e1710f8f12bab61552029f4fc1523e6", "format": {"table": [0, 2], "cond": [[0, 22, 2, 2146], [2, 4, 0, "Repair of fistula involving bladder and intestine"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of patients admitted before 2146 who had repair of fistula involving bladder and intestine.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"ADMITYEAR\" < \"2146\" AND PROCEDURES.\"LONG_TITLE\" = \"Repair of fistula involving bladder and intestine\"", "question_refine_tok": ["count", "the", "number", "of", "patients", "admitted", "before", "2146", "who", "had", "repair", "of", "fistula", "involving", "bladder", "and", "intestine", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2146\"", "AND", "PROCEDURES.\"LONG_TITLE\"", "=", "\"Repair", "of", "fistula", "involving", "bladder", "and", "intestine\""]}
{"key": "40facd461112dae112da9f353549dbd8", "format": {"table": [0, 2], "cond": [[0, 22, 2, 2179], [2, 4, 0, "Endovascular (total) embolization or occlusion of head and neck vessels"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients admitted before the year 2179 had the procedure titled endovascular (total) embolization or occlusion of head and neck vessels?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"ADMITYEAR\" < \"2179\" AND PROCEDURES.\"LONG_TITLE\" = \"Endovascular (total) embolization or occlusion of head and neck vessels\"", "question_refine_tok": ["how", "many", "patients", "admitted", "before", "the", "year", "2179", "had", "the", "procedure", "titled", "endovascular", "(", "total", ")", "embolization", "or", "occlusion", "of", "head", "and", "neck", "vessels", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2179\"", "AND", "PROCEDURES.\"LONG_TITLE\"", "=", "\"Endovascular", "(total)", "embolization", "or", "occlusion", "of", "head", "and", "neck", "vessels\""]}
{"key": "bb96bab6979f8d1d7b20bef3f6ab1ef5", "format": {"table": [0, 2], "cond": [[0, 22, 2, 2190], [2, 4, 0, "Other diagnostic procedures on nasal sinuses"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "find the number of patients admitted before 2190 who had other diagnostic procedures on nasal sinuses.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"ADMITYEAR\" < \"2190\" AND PROCEDURES.\"LONG_TITLE\" = \"Other diagnostic procedures on nasal sinuses\"", "question_refine_tok": ["find", "the", "number", "of", "patients", "admitted", "before", "2190", "who", "had", "other", "diagnostic", "procedures", "on", "nasal", "sinuses", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2190\"", "AND", "PROCEDURES.\"LONG_TITLE\"", "=", "\"Other", "diagnostic", "procedures", "on", "nasal", "sinuses\""]}
{"key": "2122c86a202668d5875810e323f81c63", "format": {"table": [0, 2], "cond": [[0, 22, 2, 2177], [2, 4, 0, "Implant of pulsation balloon"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients admitted before the year 2177 had implant of pulsation balloon?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"ADMITYEAR\" < \"2177\" AND PROCEDURES.\"LONG_TITLE\" = \"Implant of pulsation balloon\"", "question_refine_tok": ["how", "many", "patients", "admitted", "before", "the", "year", "2177", "had", "implant", "of", "pulsation", "balloon", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2177\"", "AND", "PROCEDURES.\"LONG_TITLE\"", "=", "\"Implant", "of", "pulsation", "balloon\""]}
{"key": "8048d44d132ba4da5691b9a68e473eba", "format": {"table": [0, 3], "cond": [[0, 22, 2, 2194], [3, 4, 0, "Magnesium Sulfate Replacement (Oncology)"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of patients admitted before the year 2194 and given the drug magnesium sulfate replacement.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"ADMITYEAR\" < \"2194\" AND PRESCRIPTIONS.\"DRUG\" = \"Magnesium Sulfate Replacement (Oncology)\"", "question_refine_tok": ["count", "the", "number", "of", "patients", "admitted", "before", "the", "year", "2194", "and", "given", "the", "drug", "magnesium", "sulfate", "replacement", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2194\"", "AND", "PRESCRIPTIONS.\"DRUG\"", "=", "\"Magnesium", "Sulfate", "Replacement", "(Oncology)\""]}
{"key": "96d9fa1ab52cff59ed8b1168e34ec4f6", "format": {"table": [0, 3], "cond": [[0, 22, 2, 2176], [3, 4, 0, "Montelukast Sodium"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "find the number of patients who have montelukast sodium drug prescription and were admitted before 2176.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"ADMITYEAR\" < \"2176\" AND PRESCRIPTIONS.\"DRUG\" = \"Montelukast Sodium\"", "question_refine_tok": ["find", "the", "number", "of", "patients", "who", "have", "montelukast", "sodium", "drug", "prescription", "and", "were", "admitted", "before", "2176", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2176\"", "AND", "PRESCRIPTIONS.\"DRUG\"", "=", "\"Montelukast", "Sodium\""]}
{"key": "0684cc250c5702f45956826697d749d3", "format": {"table": [0, 3], "cond": [[0, 22, 2, 2170], [3, 4, 0, "Clopidogrel Bisulfate"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients admitted before 2170 had clopidogrel bisulfate drug prescription?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"ADMITYEAR\" < \"2170\" AND PRESCRIPTIONS.\"DRUG\" = \"Clopidogrel Bisulfate\"", "question_refine_tok": ["how", "many", "patients", "admitted", "before", "2170", "had", "clopidogrel", "bisulfate", "drug", "prescription", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2170\"", "AND", "PRESCRIPTIONS.\"DRUG\"", "=", "\"Clopidogrel", "Bisulfate\""]}
{"key": "3f812ad1e7b29185a89ad38e0e4d2cdb", "format": {"table": [0, 3], "cond": [[0, 22, 2, 2180], [3, 4, 0, "CefazoLIN"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of patients admitted before the year 2180 who are on prescription drug cefazolin?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"ADMITYEAR\" < \"2180\" AND PRESCRIPTIONS.\"DRUG\" = \"CefazoLIN\"", "question_refine_tok": ["what", "is", "the", "number", "of", "patients", "admitted", "before", "the", "year", "2180", "who", "are", "on", "prescription", "drug", "cefazolin", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2180\"", "AND", "PRESCRIPTIONS.\"DRUG\"", "=", "\"CefazoLIN\""]}
{"key": "79d74006be76f9ccf51f7301e4184aa0", "format": {"table": [0, 3], "cond": [[0, 22, 2, 2198], [3, 4, 0, "Gentamicin Sulfate"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "tell me the number of patients admitted before 2198 who have gentamicin sulfate drug prescription.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"ADMITYEAR\" < \"2198\" AND PRESCRIPTIONS.\"DRUG\" = \"Gentamicin Sulfate\"", "question_refine_tok": ["tell", "me", "the", "number", "of", "patients", "admitted", "before", "2198", "who", "have", "gentamicin", "sulfate", "drug", "prescription", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2198\"", "AND", "PRESCRIPTIONS.\"DRUG\"", "=", "\"Gentamicin", "Sulfate\""]}
{"key": "8f9acdab93d20f2be9c62232c1418c5b", "format": {"table": [0, 3], "cond": [[0, 22, 2, 2170], [3, 4, 0, "Clobetasol Propionate 0.05% Ointment"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients are admitted before the year 2170 and used the drug name clobetasol propionate 0.05% oinment?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"ADMITYEAR\" < \"2170\" AND PRESCRIPTIONS.\"DRUG\" = \"Clobetasol Propionate 0.05% Ointment\"", "question_refine_tok": ["how", "many", "patients", "are", "admitted", "before", "the", "year", "2170", "and", "used", "the", "drug", "name", "clobetasol", "propionate", "0.05", "%", "oinment", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2170\"", "AND", "PRESCRIPTIONS.\"DRUG\"", "=", "\"Clobetasol", "Propionate", "0.05%", "Ointment\""]}
{"key": "b08bc26a6f0a4a677878cad8a35d6c63", "format": {"table": [0, 4], "cond": [[0, 22, 2, 2144], [4, 6, 0, "Heparin, LMW"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients admitted before the year 2144 had lab test named heparin and imw?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"ADMITYEAR\" < \"2144\" AND LAB.\"LABEL\" = \"Heparin, LMW\"", "question_refine_tok": ["how", "many", "patients", "admitted", "before", "the", "year", "2144", "had", "lab", "test", "named", "heparin", "and", "imw", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2144\"", "AND", "LAB.\"LABEL\"", "=", "\"Heparin,", "LMW\""]}
{"key": "7a4b1dcc7a5f123844b1a9d78130590f", "format": {"table": [0, 4], "cond": [[0, 22, 2, 2151], [4, 6, 0, "Granulocyte Count"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "find the number of patients admitted before 2151 who had granulocyte count lab test.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"ADMITYEAR\" < \"2151\" AND LAB.\"LABEL\" = \"Granulocyte Count\"", "question_refine_tok": ["find", "the", "number", "of", "patients", "admitted", "before", "2151", "who", "had", "granulocyte", "count", "lab", "test", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2151\"", "AND", "LAB.\"LABEL\"", "=", "\"Granulocyte", "Count\""]}
{"key": "24812bdff654e2dba2339735f53e81ce", "format": {"table": [0, 4], "cond": [[0, 22, 2, 2127], [4, 6, 0, "Thyroxine (T4)"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients admitted in the year less than 2127 had a lab test for thyroxine (t4)?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"ADMITYEAR\" < \"2127\" AND LAB.\"LABEL\" = \"Thyroxine (T4)\"", "question_refine_tok": ["how", "many", "patients", "admitted", "in", "the", "year", "less", "than", "2127", "had", "a", "lab", "test", "for", "thyroxine", "(", "t4", ")", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2127\"", "AND", "LAB.\"LABEL\"", "=", "\"Thyroxine", "(T4)\""]}
{"key": "3236ca7d720929c0f146f877947e93ee", "format": {"table": [0, 4], "cond": [[0, 22, 2, 2182], [4, 6, 0, "C4"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "give the number of patients whose admission year is less than 2182 and who have also had the c4 lab test done.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"ADMITYEAR\" < \"2182\" AND LAB.\"LABEL\" = \"C4\"", "question_refine_tok": ["give", "the", "number", "of", "patients", "whose", "admission", "year", "is", "less", "than", "2182", "and", "who", "have", "also", "had", "the", "c4", "lab", "test", "done", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2182\"", "AND", "LAB.\"LABEL\"", "=", "\"C4\""]}
{"key": "4fff1c4712c314924c473425274eee81", "format": {"table": [0, 4], "cond": [[0, 22, 2, 2190], [4, 6, 0, "% Hemoglobin A1c"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of patients admitted before 2190 who had % hemoglobin a1c lab test done?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"ADMITYEAR\" < \"2190\" AND LAB.\"LABEL\" = \"% Hemoglobin A1c\"", "question_refine_tok": ["what", "is", "the", "number", "of", "patients", "admitted", "before", "2190", "who", "had", "%", "hemoglobin", "a1c", "lab", "test", "done", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2190\"", "AND", "LAB.\"LABEL\"", "=", "\"%", "Hemoglobin", "A1c\""]}
{"key": "b1bb1b38473a36c6cb8d1b37a1af6ad6", "format": {"table": [0, 4], "cond": [[0, 22, 2, 2150], [4, 6, 0, "Cortisol"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of patients admitted before the year 2150 for whom cortisol lab test was ordered?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"ADMITYEAR\" < \"2150\" AND LAB.\"LABEL\" = \"Cortisol\"", "question_refine_tok": ["what", "is", "the", "number", "of", "patients", "admitted", "before", "the", "year", "2150", "for", "whom", "cortisol", "lab", "test", "was", "ordered", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2150\"", "AND", "LAB.\"LABEL\"", "=", "\"Cortisol\""]}
{"key": "37fca4668b0829a3cbbec4746a34af9b", "format": {"table": [0, 1, 3], "cond": [[1, 3, 0, "Urin tract infection NOS"], [3, 3, 0, "ADDITIVE"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many of the patients with urin tract infection nos received additive therapy?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DIAGNOSES.\"SHORT_TITLE\" = \"Urin tract infection NOS\" AND PRESCRIPTIONS.\"DRUG_TYPE\" = \"ADDITIVE\"", "question_refine_tok": ["how", "many", "of", "the", "patients", "with", "urin", "tract", "infection", "nos", "received", "additive", "therapy", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"Urin", "tract", "infection", "NOS\"", "AND", "PRESCRIPTIONS.\"DRUG_TYPE\"", "=", "\"ADDITIVE\""]}
{"key": "fbefbdfe3ab79f0e5a15c2d1027cff4f", "format": {"table": [0, 1, 3], "cond": [[1, 3, 0, "Poisoning-opiates NEC"], [3, 3, 0, "MAIN"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "provide me the number of patients on main drug type prescription who have the diagnoses of poisoning by other opiates and related narcotics.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DIAGNOSES.\"SHORT_TITLE\" = \"Poisoning-opiates NEC\" AND PRESCRIPTIONS.\"DRUG_TYPE\" = \"MAIN\"", "question_refine_tok": ["provide", "me", "the", "number", "of", "patients", "on", "main", "drug", "type", "prescription", "who", "have", "the", "diagnoses", "of", "poisoning", "by", "other", "opiates", "and", "related", "narcotics", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"Poisoning-opiates", "NEC\"", "AND", "PRESCRIPTIONS.\"DRUG_TYPE\"", "=", "\"MAIN\""]}
{"key": "d0cb410a3675afa164a801100f61802b", "format": {"table": [0, 1, 3], "cond": [[1, 3, 0, "Ulcer of heel & midfoot"], [3, 3, 0, "BASE"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "give the number of patients diagnosed with ulcer of heel and midfoot and drug type is base.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DIAGNOSES.\"SHORT_TITLE\" = \"Ulcer of heel & midfoot\" AND PRESCRIPTIONS.\"DRUG_TYPE\" = \"BASE\"", "question_refine_tok": ["give", "the", "number", "of", "patients", "diagnosed", "with", "ulcer", "of", "heel", "and", "midfoot", "and", "drug", "type", "is", "base", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"Ulcer", "of", "heel", "&", "midfoot\"", "AND", "PRESCRIPTIONS.\"DRUG_TYPE\"", "=", "\"BASE\""]}
{"key": "71d70b338385c490e0fa5818bd8954df", "format": {"table": [0, 1, 3], "cond": [[1, 3, 0, "Adv eff cardiovasc NEC"], [3, 3, 0, "BASE"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of patients who are on base type of drug prescription and have been diagnosed with other and unspecified agents primarily affecting the cardiovascular system causing adverse effects in therapeutic use.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DIAGNOSES.\"SHORT_TITLE\" = \"Adv eff cardiovasc NEC\" AND PRESCRIPTIONS.\"DRUG_TYPE\" = \"BASE\"", "question_refine_tok": ["count", "the", "number", "of", "patients", "who", "are", "on", "base", "type", "of", "drug", "prescription", "and", "have", "been", "diagnosed", "with", "other", "and", "unspecified", "agents", "primarily", "affecting", "the", "cardiovascular", "system", "causing", "adverse", "effects", "in", "therapeutic", "use", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"Adv", "eff", "cardiovasc", "NEC\"", "AND", "PRESCRIPTIONS.\"DRUG_TYPE\"", "=", "\"BASE\""]}
{"key": "8d6889fe421f4c94dc55fcd98a0b6219", "format": {"table": [0, 1, 3], "cond": [[1, 3, 0, "Hx TIA/stroke w/o resid"], [3, 4, 0, "Warfarin"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many of the patients with hx tia/stroke w/o resid were treated with warfarin", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DIAGNOSES.\"SHORT_TITLE\" = \"Hx TIA/stroke w/o resid\" AND PRESCRIPTIONS.\"DRUG\" = \"Warfarin\"", "question_refine_tok": ["how", "many", "of", "the", "patients", "with", "hx", "tia", "/", "stroke", "w/o", "resid", "were", "treated", "with", "warfarin"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"Hx", "TIA/stroke", "w/o", "resid\"", "AND", "PRESCRIPTIONS.\"DRUG\"", "=", "\"Warfarin\""]}
{"key": "76dc5de96ef0abd83df3cc52791de411", "format": {"table": [0, 1, 3], "cond": [[1, 3, 0, "Crbl art ocl NOS w infrc"], [3, 6, 0, "SC"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients with sc route of drug administration have the diagnosis short title as crbl art ocl nos w infrc?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DIAGNOSES.\"SHORT_TITLE\" = \"Crbl art ocl NOS w infrc\" AND PRESCRIPTIONS.\"ROUTE\" = \"SC\"", "question_refine_tok": ["how", "many", "patients", "with", "sc", "route", "of", "drug", "administration", "have", "the", "diagnosis", "short", "title", "as", "crbl", "art", "ocl", "nos", "w", "infrc", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"Crbl", "art", "ocl", "NOS", "w", "infrc\"", "AND", "PRESCRIPTIONS.\"ROUTE\"", "=", "\"SC\""]}
{"key": "8f33172e5cfd88dae55caea63bb8ae38", "format": {"table": [0, 1, 3], "cond": [[1, 3, 0, "Ca in situ oral cav/phar"], [3, 6, 0, "IM"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of patients whose diagnosis is ca in situ oral cav/phar and im drug route?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DIAGNOSES.\"SHORT_TITLE\" = \"Ca in situ oral cav/phar\" AND PRESCRIPTIONS.\"ROUTE\" = \"IM\"", "question_refine_tok": ["what", "is", "the", "number", "of", "patients", "whose", "diagnosis", "is", "ca", "in", "situ", "oral", "cav", "/", "phar", "and", "i", "m", "drug", "route", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"Ca", "in", "situ", "oral", "cav/phar\"", "AND", "PRESCRIPTIONS.\"ROUTE\"", "=", "\"IM\""]}
{"key": "c39eb5c07626b375cc28424dd91da2b5", "format": {"table": [0, 1, 3], "cond": [[1, 3, 0, "Noninf gastroenterit NEC"], [3, 6, 0, "ORAL"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients are diagnosed with noninf gastroenterit nec and given drugs orally?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DIAGNOSES.\"SHORT_TITLE\" = \"Noninf gastroenterit NEC\" AND PRESCRIPTIONS.\"ROUTE\" = \"ORAL\"", "question_refine_tok": ["how", "many", "patients", "are", "diagnosed", "with", "noninf", "gastroenterit", "nec", "and", "given", "drugs", "orally", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"Noninf", "gastroenterit", "NEC\"", "AND", "PRESCRIPTIONS.\"ROUTE\"", "=", "\"ORAL\""]}
{"key": "d72765a5d55e246786426d2d3169ec30", "format": {"table": [0, 1, 4], "cond": [[1, 3, 0, "Crbl art ocl NOS w infrc"], [4, 4, 0, "abnormal"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "find the number of patients whose diagnoses short title is crbl art ocl nos w infrc and lab test result is abnormal.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DIAGNOSES.\"SHORT_TITLE\" = \"Crbl art ocl NOS w infrc\" AND LAB.\"FLAG\" = \"abnormal\"", "question_refine_tok": ["find", "the", "number", "of", "patients", "whose", "diagnoses", "short", "title", "is", "crbl", "art", "ocl", "nos", "w", "infrc", "and", "lab", "test", "result", "is", "abnormal", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"Crbl", "art", "ocl", "NOS", "w", "infrc\"", "AND", "LAB.\"FLAG\"", "=", "\"abnormal\""]}
{"key": "d6ca8becf215e511e8bbafab5721f24d", "format": {"table": [0, 1, 4], "cond": [[1, 3, 0, "Heart valve replac NEC"], [4, 4, 0, "delta"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "give the number of patients whose diagnosis short title is heart valve replacement nec and lab test abnormal status is delta.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DIAGNOSES.\"SHORT_TITLE\" = \"Heart valve replac NEC\" AND LAB.\"FLAG\" = \"delta\"", "question_refine_tok": ["give", "the", "number", "of", "patients", "whose", "diagnosis", "short", "title", "is", "heart", "valve", "replacement", "nec", "and", "lab", "test", "abnormal", "status", "is", "delta", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"Heart", "valve", "replac", "NEC\"", "AND", "LAB.\"FLAG\"", "=", "\"delta\""]}
{"key": "ad4b076a67c842c57e57d31e52fad53b", "format": {"table": [0, 1, 4], "cond": [[1, 3, 0, "AMI inferolateral, init"], [4, 8, 0, "Chemistry"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of patients categorized under chemistry lab test who have a diagnoses of acute myocardial infarction of inferolataeral wall, inital episode of care?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DIAGNOSES.\"SHORT_TITLE\" = \"AMI inferolateral, init\" AND LAB.\"CATEGORY\" = \"Chemistry\"", "question_refine_tok": ["what", "is", "the", "number", "of", "patients", "categorized", "under", "chemistry", "lab", "test", "who", "have", "a", "diagnoses", "of", "acute", "myocardial", "infarction", "of", "inferolataeral", "wall", ",", "inital", "episode", "of", "care", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"AMI", "inferolateral,", "init\"", "AND", "LAB.\"CATEGORY\"", "=", "\"Chemistry\""]}
{"key": "b2a6ae72177163de047eccc48a036c30", "format": {"table": [0, 1, 2], "cond": [[1, 4, 0, "Encephalopathy, unspecified"], [2, 3, 0, "Spinal tap"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "provide the number of patients diagnosed with unspecified encephalopathy who had spinal tap lab test.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DIAGNOSES.\"LONG_TITLE\" = \"Encephalopathy, unspecified\" AND PROCEDURES.\"SHORT_TITLE\" = \"Spinal tap\"", "question_refine_tok": ["provide", "the", "number", "of", "patients", "diagnosed", "with", "unspecified", "encephalopathy", "who", "had", "spinal", "tap", "lab", "test", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DIAGNOSES.\"LONG_TITLE\"", "=", "\"Encephalopathy,", "unspecified\"", "AND", "PROCEDURES.\"SHORT_TITLE\"", "=", "\"Spinal", "tap\""]}
{"key": "e0f5e12e3bdbe972a3dffc3ffec9dd3c", "format": {"table": [0, 1, 3], "cond": [[1, 4, 0, "Abdominal pain, other specified site"], [3, 3, 0, "MAIN"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients diagnosed with abdominal pain,other specified site had drug type as main?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DIAGNOSES.\"LONG_TITLE\" = \"Abdominal pain, other specified site\" AND PRESCRIPTIONS.\"DRUG_TYPE\" = \"MAIN\"", "question_refine_tok": ["how", "many", "patients", "diagnosed", "with", "abdominal", "pain", ",", "other", "specified", "site", "had", "drug", "type", "as", "main", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DIAGNOSES.\"LONG_TITLE\"", "=", "\"Abdominal", "pain,", "other", "specified", "site\"", "AND", "PRESCRIPTIONS.\"DRUG_TYPE\"", "=", "\"MAIN\""]}
{"key": "d9adfedbb2afe95094ae8ba14459eee2", "format": {"table": [0, 1, 3], "cond": [[1, 4, 0, "Other dysphagia"], [3, 3, 0, "BASE"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients diagnosed with other dysphagia are prescribed base type drugs?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DIAGNOSES.\"LONG_TITLE\" = \"Other dysphagia\" AND PRESCRIPTIONS.\"DRUG_TYPE\" = \"BASE\"", "question_refine_tok": ["how", "many", "patients", "diagnosed", "with", "other", "dysphagia", "are", "prescribed", "base", "type", "drugs", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DIAGNOSES.\"LONG_TITLE\"", "=", "\"Other", "dysphagia\"", "AND", "PRESCRIPTIONS.\"DRUG_TYPE\"", "=", "\"BASE\""]}
{"key": "7a579974c9b7b3302b64cf2ffa4d390f", "format": {"table": [0, 1, 3], "cond": [[1, 4, 0, "Human immunodeficiency virus [HIV] disease"], [3, 6, 0, "NU"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "find the number of patients taking drug via nu route who have been diagnosed with human immunodeficiency virus [hiv] disease.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DIAGNOSES.\"LONG_TITLE\" = \"Human immunodeficiency virus [HIV] disease\" AND PRESCRIPTIONS.\"ROUTE\" = \"NU\"", "question_refine_tok": ["find", "the", "number", "of", "patients", "taking", "drug", "via", "nu", "route", "who", "have", "been", "diagnosed", "with", "human", "immunodeficiency", "virus", "[", "hiv", "]", "disease", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DIAGNOSES.\"LONG_TITLE\"", "=", "\"Human", "immunodeficiency", "virus", "[HIV]", "disease\"", "AND", "PRESCRIPTIONS.\"ROUTE\"", "=", "\"NU\""]}
{"key": "f946c12c43e4f32b7e596b3464f6d453", "format": {"table": [0, 1, 4], "cond": [[1, 4, 0, "Osteoarthrosis, unspecified whether generalized or localized, site unspecified"], [4, 4, 0, "abnormal"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "provide the number of patients diagnosed with osteoarthrosis, unspecified whether generalized or localized, site unspecified who had abnormal lab test status.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DIAGNOSES.\"LONG_TITLE\" = \"Osteoarthrosis, unspecified whether generalized or localized, site unspecified\" AND LAB.\"FLAG\" = \"abnormal\"", "question_refine_tok": ["provide", "the", "number", "of", "patients", "diagnosed", "with", "osteoarthrosis", ",", "unspecified", "whether", "generalized", "or", "localized", ",", "site", "unspecified", "who", "had", "abnormal", "lab", "test", "status", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DIAGNOSES.\"LONG_TITLE\"", "=", "\"Osteoarthrosis,", "unspecified", "whether", "generalized", "or", "localized,", "site", "unspecified\"", "AND", "LAB.\"FLAG\"", "=", "\"abnormal\""]}
{"key": "7c422ca5adf597749d65a8cb3ec8f313", "format": {"table": [0, 1, 4], "cond": [[1, 4, 0, "Wegener's granulomatosis"], [4, 8, 0, "Hematology"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "find the number of patients diagnosed with wegener's granulomatosis who had hematology lab test.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DIAGNOSES.\"LONG_TITLE\" = \"Wegener's granulomatosis\" AND LAB.\"CATEGORY\" = \"Hematology\"", "question_refine_tok": ["find", "the", "number", "of", "patients", "diagnosed", "with", "wegener", "'s", "granulomatosis", "who", "had", "hematology", "lab", "test", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DIAGNOSES.\"LONG_TITLE\"", "=", "\"Wegener's", "granulomatosis\"", "AND", "LAB.\"CATEGORY\"", "=", "\"Hematology\""]}
{"key": "5f0aecb63f00e3ddaabe964b86e8cbad", "format": {"table": [0, 1, 4], "cond": [[1, 4, 0, "Other preterm infants, 1,750-1,999 grams"], [4, 8, 0, "Hematology"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many of the other preterm infants, weighing 1,750-1,999 grams had a lab test for hematology?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DIAGNOSES.\"LONG_TITLE\" = \"Other preterm infants, 1,750-1,999 grams\" AND LAB.\"CATEGORY\" = \"Hematology\"", "question_refine_tok": ["how", "many", "of", "the", "other", "preterm", "infants", ",", "weighing", "1,750", "-", "1,999", "grams", "had", "a", "lab", "test", "for", "hematology", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DIAGNOSES.\"LONG_TITLE\"", "=", "\"Other", "preterm", "infants,", "1,750-1,999", "grams\"", "AND", "LAB.\"CATEGORY\"", "=", "\"Hematology\""]}
{"key": "2fd024b49b43e2dc395e2b9c27d000b6", "format": {"table": [0, 1, 4], "cond": [[1, 4, 0, "Residual foreign body in soft tissue"], [4, 8, 0, "Blood Gas"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients with residual foreign body in soft tissue had a lab test for blood gas?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DIAGNOSES.\"LONG_TITLE\" = \"Residual foreign body in soft tissue\" AND LAB.\"CATEGORY\" = \"Blood Gas\"", "question_refine_tok": ["how", "many", "patients", "with", "residual", "foreign", "body", "in", "soft", "tissue", "had", "a", "lab", "test", "for", "blood", "gas", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DIAGNOSES.\"LONG_TITLE\"", "=", "\"Residual", "foreign", "body", "in", "soft", "tissue\"", "AND", "LAB.\"CATEGORY\"", "=", "\"Blood", "Gas\""]}
{"key": "3aae548bf5d23991ff516e96fc312c1e", "format": {"table": [0, 1, 4], "cond": [[1, 4, 0, "Interstitial emphysema and related conditions"], [4, 8, 0, "Blood Gas"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients were diagnosed with interstitial emphysema with related conditions and had the lab test for blood gas?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DIAGNOSES.\"LONG_TITLE\" = \"Interstitial emphysema and related conditions\" AND LAB.\"CATEGORY\" = \"Blood Gas\"", "question_refine_tok": ["how", "many", "patients", "were", "diagnosed", "with", "interstitial", "emphysema", "with", "related", "conditions", "and", "had", "the", "lab", "test", "for", "blood", "gas", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DIAGNOSES.\"LONG_TITLE\"", "=", "\"Interstitial", "emphysema", "and", "related", "conditions\"", "AND", "LAB.\"CATEGORY\"", "=", "\"Blood", "Gas\""]}
{"key": "dac93f2296cbfbd773c0717ee3224639", "format": {"table": [0, 1, 4], "cond": [[1, 4, 0, "Morbid obesity"], [4, 8, 0, "Chemistry"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of patients whose diagnosis long title is morbid obesity and the lab test category is chemistry.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DIAGNOSES.\"LONG_TITLE\" = \"Morbid obesity\" AND LAB.\"CATEGORY\" = \"Chemistry\"", "question_refine_tok": ["count", "the", "number", "of", "patients", "whose", "diagnosis", "long", "title", "is", "morbid", "obesity", "and", "the", "lab", "test", "category", "is", "chemistry", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DIAGNOSES.\"LONG_TITLE\"", "=", "\"Morbid", "obesity\"", "AND", "LAB.\"CATEGORY\"", "=", "\"Chemistry\""]}
{"key": "4b1e72cd06d6b4524a4dc8e32b039dc5", "format": {"table": [0, 3, 4], "cond": [[3, 3, 0, "BASE"], [4, 6, 0, "Other Cell"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients who have been prescribed base drug type had other cell lab test in the lab?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE PRESCRIPTIONS.\"DRUG_TYPE\" = \"BASE\" AND LAB.\"LABEL\" = \"Other Cell\"", "question_refine_tok": ["how", "many", "patients", "who", "have", "been", "prescribed", "base", "drug", "type", "had", "other", "cell", "lab", "test", "in", "the", "lab", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "PRESCRIPTIONS.\"DRUG_TYPE\"", "=", "\"BASE\"", "AND", "LAB.\"LABEL\"", "=", "\"Other", "Cell\""]}
{"key": "c07160d198cc25370511b07a7625a86e", "format": {"table": [0, 3, 4], "cond": [[3, 3, 0, "MAIN"], [4, 6, 0, "Ammonia"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients having main drug prescription had ammonia lab test done?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE PRESCRIPTIONS.\"DRUG_TYPE\" = \"MAIN\" AND LAB.\"LABEL\" = \"Ammonia\"", "question_refine_tok": ["how", "many", "patients", "having", "main", "drug", "prescription", "had", "ammonia", "lab", "test", "done", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "PRESCRIPTIONS.\"DRUG_TYPE\"", "=", "\"MAIN\"", "AND", "LAB.\"LABEL\"", "=", "\"Ammonia\""]}
{"key": "743e7b67c9ad4cedf1b116a34d215c02", "format": {"table": [0, 3, 4], "cond": [[3, 3, 0, "MAIN"], [4, 6, 0, "Reticulocyte Count, Manual"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "provide the number of patients on main type of drug prescription who had manual reticulocyte count.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE PRESCRIPTIONS.\"DRUG_TYPE\" = \"MAIN\" AND LAB.\"LABEL\" = \"Reticulocyte Count, Manual\"", "question_refine_tok": ["provide", "the", "number", "of", "patients", "on", "main", "type", "of", "drug", "prescription", "who", "had", "manual", "reticulocyte", "count", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "PRESCRIPTIONS.\"DRUG_TYPE\"", "=", "\"MAIN\"", "AND", "LAB.\"LABEL\"", "=", "\"Reticulocyte", "Count,", "Manual\""]}
{"key": "89b79c124b9fbca851ba5616d9f9beba", "format": {"table": [0, 3, 4], "cond": [[3, 3, 0, "MAIN"], [4, 6, 0, "Total Protein, Urine"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what number of patients have drug type main and lab test name is total protein, urine?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE PRESCRIPTIONS.\"DRUG_TYPE\" = \"MAIN\" AND LAB.\"LABEL\" = \"Total Protein, Urine\"", "question_refine_tok": ["what", "number", "of", "patients", "have", "drug", "type", "main", "and", "lab", "test", "name", "is", "total", "protein", ",", "urine", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "PRESCRIPTIONS.\"DRUG_TYPE\"", "=", "\"MAIN\"", "AND", "LAB.\"LABEL\"", "=", "\"Total", "Protein,", "Urine\""]}
{"key": "d9b616b4fc406af58005c986b43528db", "format": {"table": [0, 3, 4], "cond": [[3, 3, 0, "MAIN"], [4, 6, 0, "Total Protein, CSF"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients uses the main drug type and lab tested for total protein, csf?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE PRESCRIPTIONS.\"DRUG_TYPE\" = \"MAIN\" AND LAB.\"LABEL\" = \"Total Protein, CSF\"", "question_refine_tok": ["how", "many", "patients", "uses", "the", "main", "drug", "type", "and", "lab", "tested", "for", "total", "protein", ",", "csf", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "PRESCRIPTIONS.\"DRUG_TYPE\"", "=", "\"MAIN\"", "AND", "LAB.\"LABEL\"", "=", "\"Total", "Protein,", "CSF\""]}
{"key": "67c736a6f4e5e4473ee1e7cc26c05b5e", "format": {"table": [0], "cond": [[0, 0, 0, 2560]], "agg_col": [[0, 17]], "sel": 0}, "question_refine": "what is the date of death of subject id 2560?", "sql": "SELECT DEMOGRAPHIC.\"DOD\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"2560\"", "question_refine_tok": ["what", "is", "the", "date", "of", "death", "of", "subject", "i", "d", "2560", "?"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DOD\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"2560\""]}
{"key": "6c1a4019c9752aefec8106892db753f0", "format": {"table": [0], "cond": [[0, 0, 0, 2560]], "agg_col": [[0, 9], [0, 17]], "sel": 0}, "question_refine": "what is the admission type and date of death of patient id 2560?", "sql": "SELECT DEMOGRAPHIC.\"ADMISSION_TYPE\",DEMOGRAPHIC.\"DOD\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"2560\"", "question_refine_tok": ["what", "is", "the", "admission", "type", "and", "date", "of", "death", "of", "patient", "i", "d", "2560", "?"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"ADMISSION_TYPE\",DEMOGRAPHIC.\"DOD\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"2560\""]}
{"key": "778e2189c47cd48d240a9341791cba25", "format": {"table": [0], "cond": [[0, 0, 0, 81923]], "agg_col": [[0, 6], [0, 11]], "sel": 0}, "question_refine": "what is the gender and insurance of subject id 81923?", "sql": "SELECT DEMOGRAPHIC.\"GENDER\",DEMOGRAPHIC.\"INSURANCE\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"81923\"", "question_refine_tok": ["what", "is", "the", "gender", "and", "insurance", "of", "subject", "i", "d", "81923", "?"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"GENDER\",DEMOGRAPHIC.\"INSURANCE\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"81923\""]}
{"key": "f835d16e0a87c71ecd874c2f9bc4a145", "format": {"table": [0], "cond": [[0, 0, 0, 29961]], "agg_col": [[0, 20]], "sel": 0}, "question_refine": "specify the time of admission of patient id 29961", "sql": "SELECT DEMOGRAPHIC.\"ADMITTIME\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"29961\"", "question_refine_tok": ["specify", "the", "time", "of", "admission", "of", "patient", "i", "d", "29961"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"ADMITTIME\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"29961\""]}
{"key": "fedc7c6bd2c273480fd26c160fac4b3e", "format": {"table": [0], "cond": [[0, 0, 0, 3343]], "agg_col": [[0, 5], [0, 14]], "sel": 0}, "question_refine": "mention the date of birth and admission location of patient with subject id 3343.", "sql": "SELECT DEMOGRAPHIC.\"DOB\",DEMOGRAPHIC.\"ADMISSION_LOCATION\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"3343\"", "question_refine_tok": ["mention", "the", "date", "of", "birth", "and", "admission", "location", "of", "patient", "with", "subject", "i", "d", "3343", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DOB\",DEMOGRAPHIC.\"ADMISSION_LOCATION\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"3343\""]}
{"key": "1da51c6d4fbd91753a91c335c9528835", "format": {"table": [2], "cond": [[2, 0, 0, 74032]], "agg_col": [[2, 3]], "sel": 0}, "question_refine": "what is the procedure for the patient id 74032?", "sql": "SELECT PROCEDURES.\"SHORT_TITLE\" FROM PROCEDURES WHERE PROCEDURES.\"SUBJECT_ID\" = \"74032\"", "question_refine_tok": ["what", "is", "the", "procedure", "for", "the", "patient", "i", "d", "74032", "?"], "sql_tok": ["SELECT", "PROCEDURES.\"SHORT_TITLE\"", "FROM", "PROCEDURES", "WHERE", "PROCEDURES.\"SUBJECT_ID\"", "=", "\"74032\""]}
{"key": "659cbaf60b655535d03152dd92522d8b", "format": {"table": [0, 4], "cond": [[0, 0, 0, 74032]], "agg_col": [[0, 10], [4, 4]], "sel": 0}, "question_refine": "mention the number days of hospital stay and lab test status for the patient id 74032.", "sql": "SELECT DEMOGRAPHIC.\"DAYS_STAY\",LAB.\"FLAG\" FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"74032\"", "question_refine_tok": ["mention", "the", "number", "days", "of", "hospital", "stay", "and", "lab", "test", "status", "for", "the", "patient", "i", "d", "74032", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DAYS_STAY\",LAB.\"FLAG\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"74032\""]}
{"key": "9766f65ef8ac9782c4d77d5140943ca2", "format": {"table": [0, 3], "cond": [[0, 0, 0, 74032]], "agg_col": [[0, 20], [3, 7]], "sel": 0}, "question_refine": "tell me the time of admission and dosage of drug for patient with patient id 74032.", "sql": "SELECT DEMOGRAPHIC.\"ADMITTIME\",PRESCRIPTIONS.\"DRUG_DOSE\" FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"74032\"", "question_refine_tok": ["tell", "me", "the", "time", "of", "admission", "and", "dosage", "of", "drug", "for", "patient", "with", "patient", "i", "d", "74032", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"ADMITTIME\",PRESCRIPTIONS.\"DRUG_DOSE\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"74032\""]}
{"key": "dadf24528f301f6d49eff440e8ab8489", "format": {"table": [2, 3], "cond": [[2, 0, 0, 74032]], "agg_col": [[2, 4], [3, 2]], "sel": 0}, "question_refine": "provide the procedure long title and icu stay id of subject id 74032.", "sql": "SELECT PROCEDURES.\"LONG_TITLE\",PRESCRIPTIONS.\"ICUSTAY_ID\" FROM PROCEDURES INNER JOIN PRESCRIPTIONS on PROCEDURES.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE PROCEDURES.\"SUBJECT_ID\" = \"74032\"", "question_refine_tok": ["provide", "the", "procedure", "long", "title", "and", "icu", "stay", "i", "d", "of", "subject", "i", "d", "74032", "."], "sql_tok": ["SELECT", "PROCEDURES.\"LONG_TITLE\",PRESCRIPTIONS.\"ICUSTAY_ID\"", "FROM", "PROCEDURES", "INNER", "JOIN", "PRESCRIPTIONS", "on", "PROCEDURES.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "PROCEDURES.\"SUBJECT_ID\"", "=", "\"74032\""]}
{"key": "f2a104d87723f348b0ef34c938f922c2", "format": {"table": [3], "cond": [[3, 0, 0, 74032]], "agg_col": [[3, 2], [3, 3]], "sel": 0}, "question_refine": "for subject id 74032 find the icu stay id and drug type.", "sql": "SELECT PRESCRIPTIONS.\"ICUSTAY_ID\",PRESCRIPTIONS.\"DRUG_TYPE\" FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.\"SUBJECT_ID\" = \"74032\"", "question_refine_tok": ["for", "subject", "i", "d", "74032", "find", "the", "icu", "stay", "i", "d", "and", "drug", "type", "."], "sql_tok": ["SELECT", "PRESCRIPTIONS.\"ICUSTAY_ID\",PRESCRIPTIONS.\"DRUG_TYPE\"", "FROM", "PRESCRIPTIONS", "WHERE", "PRESCRIPTIONS.\"SUBJECT_ID\"", "=", "\"74032\""]}
{"key": "2ec0f0b5be3791125b6a4d634004887b", "format": {"table": [0, 1], "cond": [[0, 0, 0, 52012]], "agg_col": [[0, 10], [1, 3]], "sel": 0}, "question_refine": "find the diagnoses and duration of hospital stay for subject id 52012.", "sql": "SELECT DEMOGRAPHIC.\"DAYS_STAY\",DIAGNOSES.\"SHORT_TITLE\" FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"52012\"", "question_refine_tok": ["find", "the", "diagnoses", "and", "duration", "of", "hospital", "stay", "for", "subject", "i", "d", "52012", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DAYS_STAY\",DIAGNOSES.\"SHORT_TITLE\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"52012\""]}
{"key": "4787daf372f3f1e08135416fd6010671", "format": {"table": [0], "cond": [[0, 0, 0, 16438]], "agg_col": [[0, 9], [0, 13]], "sel": 0}, "question_refine": "give me the admission type and death status of subject id 16438.", "sql": "SELECT DEMOGRAPHIC.\"ADMISSION_TYPE\",DEMOGRAPHIC.\"EXPIRE_FLAG\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"16438\"", "question_refine_tok": ["give", "me", "the", "admission", "type", "and", "death", "status", "of", "subject", "i", "d", "16438", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"ADMISSION_TYPE\",DEMOGRAPHIC.\"EXPIRE_FLAG\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"16438\""]}
{"key": "66379c84c6761e5309ba5992a26e4ac2", "format": {"table": [0, 4], "cond": [[0, 0, 0, 2110]], "agg_col": [[0, 2], [4, 3]], "sel": 0}, "question_refine": "find out the lab test chart time and name of the patient with patient id 2110.", "sql": "SELECT DEMOGRAPHIC.\"NAME\",LAB.\"CHARTTIME\" FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"2110\"", "question_refine_tok": ["find", "out", "the", "lab", "test", "chart", "time", "and", "name", "of", "the", "patient", "with", "patient", "i", "d", "2110", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"NAME\",LAB.\"CHARTTIME\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"2110\""]}
{"key": "7d4514e883626263a436da907d3e3c05", "format": {"table": [0], "cond": [[0, 0, 0, 55094]], "agg_col": [[0, 12]], "sel": 0}, "question_refine": "specify ethnic origin of patient id 55094", "sql": "SELECT DEMOGRAPHIC.\"ETHNICITY\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"55094\"", "question_refine_tok": ["specify", "ethnic", "origin", "of", "patient", "i", "d", "55094"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"ETHNICITY\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"55094\""]}
{"key": "3ba0eba13032cd7c691dc20776e2df9f", "format": {"table": [0], "cond": [[0, 0, 0, 55094]], "agg_col": [[0, 9], [0, 14]], "sel": 0}, "question_refine": "provide me with the location and type of admission for patient with patient id 55094.", "sql": "SELECT DEMOGRAPHIC.\"ADMISSION_TYPE\",DEMOGRAPHIC.\"ADMISSION_LOCATION\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"55094\"", "question_refine_tok": ["provide", "me", "with", "the", "location", "and", "type", "of", "admission", "for", "patient", "with", "patient", "i", "d", "55094", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"ADMISSION_TYPE\",DEMOGRAPHIC.\"ADMISSION_LOCATION\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"55094\""]}
{"key": "2545d68d28d95f3656e0e83d0a303686", "format": {"table": [0], "cond": [[0, 0, 0, 55094]], "agg_col": [[0, 10], [0, 14]], "sel": 0}, "question_refine": "what is the admission location and how many days subject id 55094 had stayed in the hospital?", "sql": "SELECT DEMOGRAPHIC.\"DAYS_STAY\",DEMOGRAPHIC.\"ADMISSION_LOCATION\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"55094\"", "question_refine_tok": ["what", "is", "the", "admission", "location", "and", "how", "many", "days", "subject", "i", "d", "55094", "had", "stayed", "in", "the", "hospital", "?"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DAYS_STAY\",DEMOGRAPHIC.\"ADMISSION_LOCATION\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"55094\""]}
{"key": "d3d59af266ec917ceecf8fae640bb2c9", "format": {"table": [0], "cond": [[0, 0, 0, 31066]], "agg_col": [[0, 4], [0, 11]], "sel": 0}, "question_refine": "provide the age and the health insurance that covers patient with patient id 31066.", "sql": "SELECT DEMOGRAPHIC.\"AGE\",DEMOGRAPHIC.\"INSURANCE\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"31066\"", "question_refine_tok": ["provide", "the", "age", "and", "the", "health", "insurance", "that", "covers", "patient", "with", "patient", "i", "d", "31066", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"AGE\",DEMOGRAPHIC.\"INSURANCE\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"31066\""]}
{"key": "4a4094e21a6b09778c7e743ef99c8d43", "format": {"table": [0, 1], "cond": [[0, 0, 0, 30011]], "agg_col": [[0, 20], [1, 3]], "sel": 0}, "question_refine": "provide the short title of diagnosis along with the time of admission for the patient with patient id 30011.", "sql": "SELECT DEMOGRAPHIC.\"ADMITTIME\",DIAGNOSES.\"SHORT_TITLE\" FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"30011\"", "question_refine_tok": ["provide", "the", "short", "title", "of", "diagnosis", "along", "with", "the", "time", "of", "admission", "for", "the", "patient", "with", "patient", "i", "d", "30011", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"ADMITTIME\",DIAGNOSES.\"SHORT_TITLE\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"30011\""]}
{"key": "15c7a99a1daf5318d4953dff69166611", "format": {"table": [0], "cond": [[0, 0, 0, 81254]], "agg_col": [[0, 2], [0, 4]], "sel": 0}, "question_refine": "let me know the name and age of patient with patient id 81254.", "sql": "SELECT DEMOGRAPHIC.\"NAME\",DEMOGRAPHIC.\"AGE\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"81254\"", "question_refine_tok": ["let", "me", "know", "the", "name", "and", "age", "of", "patient", "with", "patient", "i", "d", "81254", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"NAME\",DEMOGRAPHIC.\"AGE\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"81254\""]}
{"key": "d60ddff280f9cfeb3f201e38ae43103d", "format": {"table": [0], "cond": [[0, 0, 0, 9575]], "agg_col": [[0, 10], [0, 21]], "sel": 0}, "question_refine": "get the number of days of hospital stay and discharge time for subject id 9575.", "sql": "SELECT DEMOGRAPHIC.\"DAYS_STAY\",DEMOGRAPHIC.\"DISCHTIME\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"9575\"", "question_refine_tok": ["get", "the", "number", "of", "days", "of", "hospital", "stay", "and", "discharge", "time", "for", "subject", "i", "d", "9575", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DAYS_STAY\",DEMOGRAPHIC.\"DISCHTIME\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"9575\""]}
{"key": "68c99990db1a7c3f4df2f7a98be5703e", "format": {"table": [0, 1], "cond": [[0, 0, 0, 66411]], "agg_col": [[0, 5], [1, 2]], "sel": 0}, "question_refine": "tell me the birth date and diagnoses icd9 code for patient with patient id 66411.", "sql": "SELECT DEMOGRAPHIC.\"DOB\",DIAGNOSES.\"ICD9_CODE\" FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"66411\"", "question_refine_tok": ["tell", "me", "the", "birth", "date", "and", "diagnoses", "icd9", "code", "for", "patient", "with", "patient", "i", "d", "66411", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DOB\",DIAGNOSES.\"ICD9_CODE\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"66411\""]}
{"key": "b432007988ac14d4ac20a48c87ea0c44", "format": {"table": [0, 1], "cond": [[0, 0, 0, 66411]], "agg_col": [[0, 5], [1, 3]], "sel": 0}, "question_refine": "what is the date of birth and diagnoses short title of subject id 66411?", "sql": "SELECT DEMOGRAPHIC.\"DOB\",DIAGNOSES.\"SHORT_TITLE\" FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"66411\"", "question_refine_tok": ["what", "is", "the", "date", "of", "birth", "and", "diagnoses", "short", "title", "of", "subject", "i", "d", "66411", "?"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DOB\",DIAGNOSES.\"SHORT_TITLE\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"66411\""]}
{"key": "c4e8f944083efdfb61a2ceca3877073c", "format": {"table": [0], "cond": [[0, 0, 0, 17519]], "agg_col": [[0, 5], [0, 6]], "sel": 0}, "question_refine": "specify the birthdate and gender of patient id 17519", "sql": "SELECT DEMOGRAPHIC.\"DOB\",DEMOGRAPHIC.\"GENDER\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"17519\"", "question_refine_tok": ["specify", "the", "birthdate", "and", "gender", "of", "patient", "i", "d", "17519"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DOB\",DEMOGRAPHIC.\"GENDER\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"17519\""]}
{"key": "5d5ff1cb3fad5f953b42fb8ba4e4f3c0", "format": {"table": [0], "cond": [[0, 0, 0, 71798]], "agg_col": [[0, 6], [0, 8]], "sel": 0}, "question_refine": "let me know the gender of religious background of patient with patient id 71798.", "sql": "SELECT DEMOGRAPHIC.\"GENDER\",DEMOGRAPHIC.\"RELIGION\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"71798\"", "question_refine_tok": ["let", "me", "know", "the", "gender", "of", "religious", "background", "of", "patient", "with", "patient", "i", "d", "71798", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"GENDER\",DEMOGRAPHIC.\"RELIGION\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"71798\""]}
{"key": "5ea6bbf8e5194001b4365ae4b5f97c23", "format": {"table": [0], "cond": [[0, 0, 0, 92796]], "agg_col": [[0, 16]], "sel": 0}, "question_refine": "what is the primary disease for the patient id 92796?", "sql": "SELECT DEMOGRAPHIC.\"DIAGNOSIS\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"92796\"", "question_refine_tok": ["what", "is", "the", "primary", "disease", "for", "the", "patient", "i", "d", "92796", "?"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DIAGNOSIS\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"92796\""]}
{"key": "fb33f03a3eff71239aa2854e1f80f72c", "format": {"table": [0], "cond": [[0, 0, 0, 92796]], "agg_col": [[0, 3], [0, 5]], "sel": 0}, "question_refine": "for patient id 92796, specify birthdate and marital status.", "sql": "SELECT DEMOGRAPHIC.\"MARITAL_STATUS\",DEMOGRAPHIC.\"DOB\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"92796\"", "question_refine_tok": ["for", "patient", "i", "d", "92796", ",", "specify", "birthdate", "and", "marital", "status", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"MARITAL_STATUS\",DEMOGRAPHIC.\"DOB\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"92796\""]}
{"key": "3577c4c8c285b0dad7abf86b242c5756", "format": {"table": [0], "cond": [[0, 0, 0, 4589]], "agg_col": [[0, 14], [0, 15]], "sel": 0}, "question_refine": "what is the admission location and discharge location of subject id 4589?", "sql": "SELECT DEMOGRAPHIC.\"ADMISSION_LOCATION\",DEMOGRAPHIC.\"DISCHARGE_LOCATION\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"4589\"", "question_refine_tok": ["what", "is", "the", "admission", "location", "and", "discharge", "location", "of", "subject", "i", "d", "4589", "?"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"ADMISSION_LOCATION\",DEMOGRAPHIC.\"DISCHARGE_LOCATION\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"4589\""]}
{"key": "271be6ecfeb4cf80e3f1f67dd241b64a", "format": {"table": [0], "cond": [[0, 0, 0, 91588]], "agg_col": [[0, 15], [0, 16]], "sel": 0}, "question_refine": "what is the discharge location and primary disease of subject id 91588?", "sql": "SELECT DEMOGRAPHIC.\"DISCHARGE_LOCATION\",DEMOGRAPHIC.\"DIAGNOSIS\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"91588\"", "question_refine_tok": ["what", "is", "the", "discharge", "location", "and", "primary", "disease", "of", "subject", "i", "d", "91588", "?"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DISCHARGE_LOCATION\",DEMOGRAPHIC.\"DIAGNOSIS\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"91588\""]}
{"key": "97f60050f98d63f539a43ba001ec748a", "format": {"table": [0], "cond": [[0, 0, 0, 7578]], "agg_col": [[0, 11]], "sel": 0}, "question_refine": "what is the insurance of patient id 7578?", "sql": "SELECT DEMOGRAPHIC.\"INSURANCE\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"7578\"", "question_refine_tok": ["what", "is", "the", "insurance", "of", "patient", "i", "d", "7578", "?"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"INSURANCE\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"7578\""]}
{"key": "4f47634496413da81de95871c42a237f", "format": {"table": [0, 2], "cond": [[0, 0, 0, 18077]], "agg_col": [[0, 16], [2, 2]], "sel": 0}, "question_refine": "give the primary disease and procedure icd9 code for subject id 18077.", "sql": "SELECT DEMOGRAPHIC.\"DIAGNOSIS\",PROCEDURES.\"ICD9_CODE\" FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"18077\"", "question_refine_tok": ["give", "the", "primary", "disease", "and", "procedure", "icd9", "code", "for", "subject", "i", "d", "18077", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DIAGNOSIS\",PROCEDURES.\"ICD9_CODE\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"18077\""]}
{"key": "186398cf774e32c7e2a8605db0f9bd28", "format": {"table": [0], "cond": [[0, 0, 0, 17570]], "agg_col": [[0, 5], [0, 6]], "sel": 0}, "question_refine": "provide me the birth date and gender for patient with patient id 17570.", "sql": "SELECT DEMOGRAPHIC.\"DOB\",DEMOGRAPHIC.\"GENDER\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"17570\"", "question_refine_tok": ["provide", "me", "the", "birth", "date", "and", "gender", "for", "patient", "with", "patient", "i", "d", "17570", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DOB\",DEMOGRAPHIC.\"GENDER\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"17570\""]}
{"key": "6611b616560193aea09377f8cf86521b", "format": {"table": [0, 1], "cond": [[0, 0, 0, 28588]], "agg_col": [[0, 9], [1, 2]], "sel": 0}, "question_refine": "tell  me the diagnoses icd9 code and type of admission for the patient with patient id 28588.", "sql": "SELECT DEMOGRAPHIC.\"ADMISSION_TYPE\",DIAGNOSES.\"ICD9_CODE\" FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"28588\"", "question_refine_tok": ["tell", " ", "me", "the", "diagnoses", "icd9", "code", "and", "type", "of", "admission", "for", "the", "patient", "with", "patient", "i", "d", "28588", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"ADMISSION_TYPE\",DIAGNOSES.\"ICD9_CODE\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"28588\""]}
{"key": "13d7568f21e2effcc05863e7e0b54f81", "format": {"table": [0], "cond": [[0, 0, 0, 17595]], "agg_col": [[0, 4], [0, 7]], "sel": 0}, "question_refine": "specify the age and languauge of patient id 17595", "sql": "SELECT DEMOGRAPHIC.\"AGE\",DEMOGRAPHIC.\"LANGUAGE\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"17595\"", "question_refine_tok": ["specify", "the", "age", "and", "languauge", "of", "patient", "i", "d", "17595"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"AGE\",DEMOGRAPHIC.\"LANGUAGE\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"17595\""]}
{"key": "b2d82caa81fd21dce030820bdf5936e8", "format": {"table": [0, 1], "cond": [[0, 0, 0, 18372]], "agg_col": [[0, 9], [1, 3]], "sel": 0}, "question_refine": "give the admission type and primary disease of subject id 18372.", "sql": "SELECT DEMOGRAPHIC.\"ADMISSION_TYPE\",DIAGNOSES.\"SHORT_TITLE\" FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"18372\"", "question_refine_tok": ["give", "the", "admission", "type", "and", "primary", "disease", "of", "subject", "i", "d", "18372", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"ADMISSION_TYPE\",DIAGNOSES.\"SHORT_TITLE\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"18372\""]}
{"key": "ec53ffd718b3d08414838e7e88b443ca", "format": {"table": [0, 4], "cond": [[0, 0, 0, 18372]], "agg_col": [[0, 16], [4, 7]], "sel": 0}, "question_refine": "tell me the primary disease and fluid lab test for patient with patient id 18372.", "sql": "SELECT DEMOGRAPHIC.\"DIAGNOSIS\",LAB.\"FLUID\" FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"18372\"", "question_refine_tok": ["tell", "me", "the", "primary", "disease", "and", "fluid", "lab", "test", "for", "patient", "with", "patient", "i", "d", "18372", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DIAGNOSIS\",LAB.\"FLUID\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"18372\""]}
{"key": "56ebb8e72b5f43dba29074209672cc58", "format": {"table": [0], "cond": [[0, 0, 0, 53707]], "agg_col": [[0, 16], [0, 20]], "sel": 0}, "question_refine": "tell me the time of admission and primary disease for patient with patient id 53707.", "sql": "SELECT DEMOGRAPHIC.\"DIAGNOSIS\",DEMOGRAPHIC.\"ADMITTIME\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"53707\"", "question_refine_tok": ["tell", "me", "the", "time", "of", "admission", "and", "primary", "disease", "for", "patient", "with", "patient", "i", "d", "53707", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DIAGNOSIS\",DEMOGRAPHIC.\"ADMITTIME\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"53707\""]}
{"key": "3e8cc5f6e9a971033e26ff0d47e5137c", "format": {"table": [0], "cond": [[0, 0, 0, 42963]], "agg_col": [[0, 9]], "sel": 0}, "question_refine": "for patients id 42963, specify the type of admission", "sql": "SELECT DEMOGRAPHIC.\"ADMISSION_TYPE\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"42963\"", "question_refine_tok": ["for", "patients", "i", "d", "42963", ",", "specify", "the", "type", "of", "admission"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"ADMISSION_TYPE\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"42963\""]}
{"key": "229d74f96a5e03b1713d2f1f8e4ec310", "format": {"table": [0, 2], "cond": [[0, 2, 0, "Morgan Mcgee"]], "agg_col": [[0, 16], [2, 4]], "sel": 0}, "question_refine": "familiarize me with the long title of procedure and primary disease of the patient morgan mcgee.", "sql": "SELECT DEMOGRAPHIC.\"DIAGNOSIS\",PROCEDURES.\"LONG_TITLE\" FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"NAME\" = \"Morgan Mcgee\"", "question_refine_tok": ["familiarize", "me", "with", "the", "long", "title", "of", "procedure", "and", "primary", "disease", "of", "the", "patient", "morgan", "mcgee", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DIAGNOSIS\",PROCEDURES.\"LONG_TITLE\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Morgan", "Mcgee\""]}
{"key": "e4f0056f68c08b98b60a919c1ae7a703", "format": {"table": [0], "cond": [[0, 2, 0, "Elizabeth Bateman"]], "agg_col": [[0, 10], [0, 13]], "sel": 0}, "question_refine": "find the number of days of hospital stay and death status of elizabeth bateman.", "sql": "SELECT DEMOGRAPHIC.\"DAYS_STAY\",DEMOGRAPHIC.\"EXPIRE_FLAG\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"NAME\" = \"Elizabeth Bateman\"", "question_refine_tok": ["find", "the", "number", "of", "days", "of", "hospital", "stay", "and", "death", "status", "of", "elizabeth", "bateman", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DAYS_STAY\",DEMOGRAPHIC.\"EXPIRE_FLAG\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Elizabeth", "Bateman\""]}
{"key": "76e5a01554bff892ab8d4158e244d320", "format": {"table": [0], "cond": [[0, 2, 0, "Paul Dunn"]], "agg_col": [[0, 4], [0, 6]], "sel": 0}, "question_refine": "specify the age of patient paul dunn along-with gender.", "sql": "SELECT DEMOGRAPHIC.\"AGE\",DEMOGRAPHIC.\"GENDER\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"NAME\" = \"Paul Dunn\"", "question_refine_tok": ["specify", "the", "age", "of", "patient", "paul", "dunn", "along", "-", "with", "gender", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"AGE\",DEMOGRAPHIC.\"GENDER\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Paul", "Dunn\""]}
{"key": "e07e728f05b5b2f1925d99ddbd2c7063", "format": {"table": [0, 2], "cond": [[0, 2, 0, "Lue White"]], "agg_col": [[0, 16], [2, 3]], "sel": 0}, "question_refine": "name the primary disease and short title of procedure for the patient lue white.", "sql": "SELECT DEMOGRAPHIC.\"DIAGNOSIS\",PROCEDURES.\"SHORT_TITLE\" FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"NAME\" = \"Lue White\"", "question_refine_tok": ["name", "the", "primary", "disease", "and", "short", "title", "of", "procedure", "for", "the", "patient", "lue", "white", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DIAGNOSIS\",PROCEDURES.\"SHORT_TITLE\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Lue", "White\""]}
{"key": "c1be4cefce1d8cdd93c899c42e6f1860", "format": {"table": [0, 3], "cond": [[0, 2, 0, "Evelyn Lawrence"]], "agg_col": [[3, 3]], "sel": 0}, "question_refine": "name the type of drug patient evelyn lawrence is on.", "sql": "SELECT PRESCRIPTIONS.\"DRUG_TYPE\" FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"NAME\" = \"Evelyn Lawrence\"", "question_refine_tok": ["name", "the", "type", "of", "drug", "patient", "evelyn", "lawrence", "is", "on", "."], "sql_tok": ["SELECT", "PRESCRIPTIONS.\"DRUG_TYPE\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Evelyn", "Lawrence\""]}
{"key": "b147d59318dc9821394cc7f2787ad0f5", "format": {"table": [0, 3], "cond": [[0, 2, 0, "Troy Friedman"]], "agg_col": [[0, 5], [3, 2]], "sel": 0}, "question_refine": "look up for the birth date and icu stay id of the patient troy friedman.", "sql": "SELECT DEMOGRAPHIC.\"DOB\",PRESCRIPTIONS.\"ICUSTAY_ID\" FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"NAME\" = \"Troy Friedman\"", "question_refine_tok": ["look", "up", "for", "the", "birth", "date", "and", "icu", "stay", "i", "d", "of", "the", "patient", "troy", "friedman", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DOB\",PRESCRIPTIONS.\"ICUSTAY_ID\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Troy", "Friedman\""]}
{"key": "6ba46bab3f8997046eafc57b6e55ced1", "format": {"table": [0], "cond": [[0, 2, 0, "Gus Marques"]], "agg_col": [[0, 4], [0, 10]], "sel": 0}, "question_refine": "specify the age of patient gus marques and his duration of hospital stay. ", "sql": "SELECT DEMOGRAPHIC.\"AGE\",DEMOGRAPHIC.\"DAYS_STAY\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"NAME\" = \"Gus Marques\"", "question_refine_tok": ["specify", "the", "age", "of", "patient", "gus", "marques", "and", "his", "duration", "of", "hospital", "stay", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"AGE\",DEMOGRAPHIC.\"DAYS_STAY\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Gus", "Marques\""]}
{"key": "fbcb3a9a9a5fed5bc40073057a8ffe21", "format": {"table": [0], "cond": [[0, 2, 0, "Lawrence Wibbens"]], "agg_col": [[0, 4], [0, 20]], "sel": 0}, "question_refine": "give the birthdate and admission time of lawrence wibbens.", "sql": "SELECT DEMOGRAPHIC.\"AGE\",DEMOGRAPHIC.\"ADMITTIME\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"NAME\" = \"Lawrence Wibbens\"", "question_refine_tok": ["give", "the", "birthdate", "and", "admission", "time", "of", "lawrence", "wibbens", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"AGE\",DEMOGRAPHIC.\"ADMITTIME\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Lawrence", "Wibbens\""]}
{"key": "5c63d22cd46a81911c379aa729ec70a3", "format": {"table": [0, 1], "cond": [[0, 2, 0, "Robert Hyden"]], "agg_col": [[0, 16], [1, 3]], "sel": 0}, "question_refine": "speciy the icd9 code and primary disease of patient robert hyden", "sql": "SELECT DEMOGRAPHIC.\"DIAGNOSIS\",DIAGNOSES.\"SHORT_TITLE\" FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"NAME\" = \"Robert Hyden\"", "question_refine_tok": ["speciy", "the", "icd9", "code", "and", "primary", "disease", "of", "patient", "robert", "hyden"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DIAGNOSIS\",DIAGNOSES.\"SHORT_TITLE\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Robert", "Hyden\""]}
{"key": "3e94dfaf4abc3fce69fa53ef0ba42c2f", "format": {"table": [0], "cond": [[0, 2, 0, "Jane Dillard"]], "agg_col": [[0, 5]], "sel": 0}, "question_refine": "what is the date of birth of the patient name jane dillard?", "sql": "SELECT DEMOGRAPHIC.\"DOB\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"NAME\" = \"Jane Dillard\"", "question_refine_tok": ["what", "is", "the", "date", "of", "birth", "of", "the", "patient", "name", "jane", "dillard", "?"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DOB\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Jane", "Dillard\""]}
{"key": "e37649b895c95b8f43377ae5b9f00fbc", "format": {"table": [0, 2], "cond": [[0, 2, 0, "Jane Dillard"]], "agg_col": [[2, 4]], "sel": 0}, "question_refine": "what is the procedure of the patient name jane dillard?", "sql": "SELECT PROCEDURES.\"LONG_TITLE\" FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"NAME\" = \"Jane Dillard\"", "question_refine_tok": ["what", "is", "the", "procedure", "of", "the", "patient", "name", "jane", "dillard", "?"], "sql_tok": ["SELECT", "PROCEDURES.\"LONG_TITLE\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Jane", "Dillard\""]}
{"key": "dd554d8ffe1ef6df30ca9631013364b0", "format": {"table": [0, 1], "cond": [[0, 2, 0, "Michelle Skidmore"]], "agg_col": [[0, 16], [1, 3]], "sel": 0}, "question_refine": "what is the primary disease and diagnosis short title of subject name michelle skidmore?", "sql": "SELECT DEMOGRAPHIC.\"DIAGNOSIS\",DIAGNOSES.\"SHORT_TITLE\" FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"NAME\" = \"Michelle Skidmore\"", "question_refine_tok": ["what", "is", "the", "primary", "disease", "and", "diagnosis", "short", "title", "of", "subject", "name", "michelle", "skidmore", "?"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DIAGNOSIS\",DIAGNOSES.\"SHORT_TITLE\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Michelle", "Skidmore\""]}
{"key": "2ef2406ab9d7f92cabae08da49d07165", "format": {"table": [0, 1], "cond": [[0, 2, 0, "Bryant Johnson"]], "agg_col": [[0, 16], [1, 4]], "sel": 0}, "question_refine": "specify the primary disease of patient bryant johnson along-with icd9 code", "sql": "SELECT DEMOGRAPHIC.\"DIAGNOSIS\",DIAGNOSES.\"LONG_TITLE\" FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"NAME\" = \"Bryant Johnson\"", "question_refine_tok": ["specify", "the", "primary", "disease", "of", "patient", "bryant", "johnson", "along", "-", "with", "icd9", "code"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DIAGNOSIS\",DIAGNOSES.\"LONG_TITLE\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Bryant", "Johnson\""]}
{"key": "3f88184b88929ecfca8b1ee47c806f1e", "format": {"table": [0], "cond": [[0, 2, 0, "Hector Blair"]], "agg_col": [[0, 3], [0, 16]], "sel": 0}, "question_refine": "what is the marital stauts and primary disease for the patient name hector blair?", "sql": "SELECT DEMOGRAPHIC.\"MARITAL_STATUS\",DEMOGRAPHIC.\"DIAGNOSIS\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"NAME\" = \"Hector Blair\"", "question_refine_tok": ["what", "is", "the", "marital", "stauts", "and", "primary", "disease", "for", "the", "patient", "name", "hector", "blair", "?"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"MARITAL_STATUS\",DEMOGRAPHIC.\"DIAGNOSIS\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Hector", "Blair\""]}
{"key": "ae7c128a9e2f46c26321c1cfa076df85", "format": {"table": [0, 2], "cond": [[0, 2, 0, "Dawn Cooper"]], "agg_col": [[0, 9], [2, 3]], "sel": 0}, "question_refine": "specify icd9 code of patient dawn cooper along-with admission type. ", "sql": "SELECT DEMOGRAPHIC.\"ADMISSION_TYPE\",PROCEDURES.\"SHORT_TITLE\" FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"NAME\" = \"Dawn Cooper\"", "question_refine_tok": ["specify", "icd9", "code", "of", "patient", "dawn", "cooper", "along", "-", "with", "admission", "type", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"ADMISSION_TYPE\",PROCEDURES.\"SHORT_TITLE\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Dawn", "Cooper\""]}
{"key": "2fffb8e73dced41393d5c26fe9b489b9", "format": {"table": [0], "cond": [[0, 2, 0, "Kurt Buczek"]], "agg_col": [[0, 5], [0, 7]], "sel": 0}, "question_refine": "what is the date of birth and language of subject name kurt buczek?", "sql": "SELECT DEMOGRAPHIC.\"DOB\",DEMOGRAPHIC.\"LANGUAGE\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"NAME\" = \"Kurt Buczek\"", "question_refine_tok": ["what", "is", "the", "date", "of", "birth", "and", "language", "of", "subject", "name", "kurt", "buczek", "?"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DOB\",DEMOGRAPHIC.\"LANGUAGE\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Kurt", "Buczek\""]}
{"key": "dca96a41007587e69353e5c37acfbed1", "format": {"table": [0, 2], "cond": [[0, 2, 0, "Travis Hofman"]], "agg_col": [[0, 16], [2, 3]], "sel": 0}, "question_refine": "what is the primary disease and procedure for the patient name travis hofman?", "sql": "SELECT DEMOGRAPHIC.\"DIAGNOSIS\",PROCEDURES.\"SHORT_TITLE\" FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"NAME\" = \"Travis Hofman\"", "question_refine_tok": ["what", "is", "the", "primary", "disease", "and", "procedure", "for", "the", "patient", "name", "travis", "hofman", "?"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DIAGNOSIS\",PROCEDURES.\"SHORT_TITLE\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Travis", "Hofman\""]}
{"key": "d509d973e30cd2642829a5303f1f1045", "format": {"table": [0], "cond": [[0, 2, 0, "Edward Schafer"]], "agg_col": [[0, 14]], "sel": 0}, "question_refine": "specify the admission location of subject name edward schafer.", "sql": "SELECT DEMOGRAPHIC.\"ADMISSION_LOCATION\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"NAME\" = \"Edward Schafer\"", "question_refine_tok": ["specify", "the", "admission", "location", "of", "subject", "name", "edward", "schafer", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"ADMISSION_LOCATION\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Edward", "Schafer\""]}
{"key": "d4e03ea265e33fc7c0055a9c7ac61f23", "format": {"table": [1], "cond": [[1, 2, 0, "42731"]], "agg_col": [[1, 4]], "sel": 0}, "question_refine": "tell me the long title of diagnosis for patient with diagnosis icd9 code 42731.", "sql": "SELECT DIAGNOSES.\"LONG_TITLE\" FROM DIAGNOSES WHERE DIAGNOSES.\"ICD9_CODE\" = \"42731\"", "question_refine_tok": ["tell", "me", "the", "long", "title", "of", "diagnosis", "for", "patient", "with", "diagnosis", "icd9", "code", "42731", "."], "sql_tok": ["SELECT", "DIAGNOSES.\"LONG_TITLE\"", "FROM", "DIAGNOSES", "WHERE", "DIAGNOSES.\"ICD9_CODE\"", "=", "\"42731\""]}
{"key": "3d5a7c0d6c92b1e5ee5e963a01340451", "format": {"table": [2], "cond": [[2, 2, 0, 3606]], "agg_col": [[2, 3]], "sel": 0}, "question_refine": "for icd9 code 3606, specify the procedural short title.", "sql": "SELECT PROCEDURES.\"SHORT_TITLE\" FROM PROCEDURES WHERE PROCEDURES.\"ICD9_CODE\" = \"3606\"", "question_refine_tok": ["for", "icd9", "code", "3606", ",", "specify", "the", "procedural", "short", "title", "."], "sql_tok": ["SELECT", "PROCEDURES.\"SHORT_TITLE\"", "FROM", "PROCEDURES", "WHERE", "PROCEDURES.\"ICD9_CODE\"", "=", "\"3606\""]}
{"key": "59ccf22c57b74980b817d9aa8aa58ef6", "format": {"table": [2], "cond": [[2, 2, 0, 3891]], "agg_col": [[2, 3], [2, 4]], "sel": 0}, "question_refine": "give me the procedure short title and long title of the procedure icd9 code 3891.", "sql": "SELECT PROCEDURES.\"SHORT_TITLE\",PROCEDURES.\"LONG_TITLE\" FROM PROCEDURES WHERE PROCEDURES.\"ICD9_CODE\" = \"3891\"", "question_refine_tok": ["give", "me", "the", "procedure", "short", "title", "and", "long", "title", "of", "the", "procedure", "icd9", "code", "3891", "."], "sql_tok": ["SELECT", "PROCEDURES.\"SHORT_TITLE\",PROCEDURES.\"LONG_TITLE\"", "FROM", "PROCEDURES", "WHERE", "PROCEDURES.\"ICD9_CODE\"", "=", "\"3891\""]}
{"key": "790868ebd814998e1d38e783f25e930f", "format": {"table": [3], "cond": [[3, 4, 0, "Fat Emulsion 20%"]], "agg_col": [[3, 3], [3, 6]], "sel": 0}, "question_refine": "mention the drug type and drug route of the drug fat emulsion 20%.", "sql": "SELECT PRESCRIPTIONS.\"DRUG_TYPE\",PRESCRIPTIONS.\"ROUTE\" FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.\"DRUG\" = \"Fat Emulsion 20%\"", "question_refine_tok": ["mention", "the", "drug", "type", "and", "drug", "route", "of", "the", "drug", "fat", "emulsion", "20", "%", "."], "sql_tok": ["SELECT", "PRESCRIPTIONS.\"DRUG_TYPE\",PRESCRIPTIONS.\"ROUTE\"", "FROM", "PRESCRIPTIONS", "WHERE", "PRESCRIPTIONS.\"DRUG\"", "=", "\"Fat", "Emulsion", "20%\""]}
{"key": "67ea0b85b0f254811ef48ff70dd3c155", "format": {"table": [3], "cond": [[3, 4, 0, "Ferrous Sulfate"]], "agg_col": [[3, 5], [3, 6]], "sel": 0}, "question_refine": "find the drug code and drug route of ferrous sulfate.", "sql": "SELECT PRESCRIPTIONS.\"FORMULARY_DRUG_CD\",PRESCRIPTIONS.\"ROUTE\" FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.\"DRUG\" = \"Ferrous Sulfate\"", "question_refine_tok": ["find", "the", "drug", "code", "and", "drug", "route", "of", "ferrous", "sulfate", "."], "sql_tok": ["SELECT", "PRESCRIPTIONS.\"FORMULARY_DRUG_CD\",PRESCRIPTIONS.\"ROUTE\"", "FROM", "PRESCRIPTIONS", "WHERE", "PRESCRIPTIONS.\"DRUG\"", "=", "\"Ferrous", "Sulfate\""]}
{"key": "013ff37676bc0ef9a4f63e8056c83cfc", "format": {"table": [3], "cond": [[3, 4, 0, "Methylene Blue 1%"]], "agg_col": [[3, 6], [3, 7]], "sel": 0}, "question_refine": "tell me route of administration and dosage of methylene blue 1%.", "sql": "SELECT PRESCRIPTIONS.\"ROUTE\",PRESCRIPTIONS.\"DRUG_DOSE\" FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.\"DRUG\" = \"Methylene Blue 1%\"", "question_refine_tok": ["tell", "me", "route", "of", "administration", "and", "dosage", "of", "methylene", "blue", "1", "%", "."], "sql_tok": ["SELECT", "PRESCRIPTIONS.\"ROUTE\",PRESCRIPTIONS.\"DRUG_DOSE\"", "FROM", "PRESCRIPTIONS", "WHERE", "PRESCRIPTIONS.\"DRUG\"", "=", "\"Methylene", "Blue", "1%\""]}
{"key": "572b3ff24e5dee2f6f8e662c25ece890", "format": {"table": [3], "cond": [[3, 4, 0, "Sulfameth/Trimethoprim DS"]], "agg_col": [[3, 3], [3, 6]], "sel": 0}, "question_refine": "what is the drug type and route for the drug sulfameth/trimethoprim ds?", "sql": "SELECT PRESCRIPTIONS.\"DRUG_TYPE\",PRESCRIPTIONS.\"ROUTE\" FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.\"DRUG\" = \"Sulfameth/Trimethoprim DS\"", "question_refine_tok": ["what", "is", "the", "drug", "type", "and", "route", "for", "the", "drug", "sulfameth", "/", "trimethoprim", "ds", "?"], "sql_tok": ["SELECT", "PRESCRIPTIONS.\"DRUG_TYPE\",PRESCRIPTIONS.\"ROUTE\"", "FROM", "PRESCRIPTIONS", "WHERE", "PRESCRIPTIONS.\"DRUG\"", "=", "\"Sulfameth/Trimethoprim", "DS\""]}
{"key": "ef5968e86e0085fbec35b41929000479", "format": {"table": [3], "cond": [[3, 4, 0, "Aloe Vesta 2-n-1 Skin Cond"]], "agg_col": [[3, 5]], "sel": 0}, "question_refine": "let me know the drug code for aloe vesta 2-n-1 skin cond.", "sql": "SELECT PRESCRIPTIONS.\"FORMULARY_DRUG_CD\" FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.\"DRUG\" = \"Aloe Vesta 2-n-1 Skin Cond\"", "question_refine_tok": ["let", "me", "know", "the", "drug", "code", "for", "aloe", "vesta", "2-n-1", "skin", "cond", "."], "sql_tok": ["SELECT", "PRESCRIPTIONS.\"FORMULARY_DRUG_CD\"", "FROM", "PRESCRIPTIONS", "WHERE", "PRESCRIPTIONS.\"DRUG\"", "=", "\"Aloe", "Vesta", "2-n-1", "Skin", "Cond\""]}
{"key": "1c79807e83392ff26ee1ab57ed2a4f6c", "format": {"table": [3], "cond": [[3, 5, 0, "ONDA4I"]], "agg_col": [[3, 3], [3, 6]], "sel": 0}, "question_refine": "mention the drug type and route of the drug code onda4i.", "sql": "SELECT PRESCRIPTIONS.\"DRUG_TYPE\",PRESCRIPTIONS.\"ROUTE\" FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.\"FORMULARY_DRUG_CD\" = \"ONDA4I\"", "question_refine_tok": ["mention", "the", "drug", "type", "and", "route", "of", "the", "drug", "code", "onda4i", "."], "sql_tok": ["SELECT", "PRESCRIPTIONS.\"DRUG_TYPE\",PRESCRIPTIONS.\"ROUTE\"", "FROM", "PRESCRIPTIONS", "WHERE", "PRESCRIPTIONS.\"FORMULARY_DRUG_CD\"", "=", "\"ONDA4I\""]}
{"key": "20e27c3693eca2ae52019447bc73aac7", "format": {"table": [3], "cond": [[3, 5, 0, "PANT40"]], "agg_col": [[3, 3], [3, 4]], "sel": 0}, "question_refine": "specify the name and type of drug code pant40", "sql": "SELECT PRESCRIPTIONS.\"DRUG_TYPE\",PRESCRIPTIONS.\"DRUG\" FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.\"FORMULARY_DRUG_CD\" = \"PANT40\"", "question_refine_tok": ["specify", "the", "name", "and", "type", "of", "drug", "code", "pant40"], "sql_tok": ["SELECT", "PRESCRIPTIONS.\"DRUG_TYPE\",PRESCRIPTIONS.\"DRUG\"", "FROM", "PRESCRIPTIONS", "WHERE", "PRESCRIPTIONS.\"FORMULARY_DRUG_CD\"", "=", "\"PANT40\""]}
{"key": "bc11782065b72d6cbe29b86824680bf7", "format": {"table": [0], "cond": [[0, 18, 2, 2034]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "which patients were born before the year 2034?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DOB_YEAR\" < \"2034\"", "question_refine_tok": ["which", "patients", "were", "born", "before", "the", "year", "2034", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DOB_YEAR\"", "<", "\"2034\""]}
{"key": "6f44bc2c150c9f46afdcd87e13e36a6a", "format": {"table": [0, 1], "cond": [[1, 3, 0, "Abn react-surg proc NEC"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "get the number of patients who have been diagnosed with other specified surgical operations and procedures causing abnormal patient reaction, or later complication, without mention of misadventure at time of operation.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DIAGNOSES.\"SHORT_TITLE\" = \"Abn react-surg proc NEC\"", "question_refine_tok": ["get", "the", "number", "of", "patients", "who", "have", "been", "diagnosed", "with", "other", "specified", "surgical", "operations", "and", "procedures", "causing", "abnormal", "patient", "reaction", ",", "or", "later", "complication", ",", "without", "mention", "of", "misadventure", "at", "time", "of", "operation", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"Abn", "react-surg", "proc", "NEC\""]}
{"key": "1391e38640d12259e26ecff906eba132", "format": {"table": [0, 1], "cond": [[1, 3, 0, "Accident in place NEC"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "which patients have the diagnoses of accidents occurring in other specified places?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DIAGNOSES.\"SHORT_TITLE\" = \"Accident in place NEC\"", "question_refine_tok": ["which", "patients", "have", "the", "diagnoses", "of", "accidents", "occurring", "in", "other", "specified", "places", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"Accident", "in", "place", "NEC\""]}
{"key": "75909521438c24ff0eca00952662c83b", "format": {"table": [0, 1], "cond": [[1, 3, 0, "Retention urine NOS"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients have the diagnoses short title as retention urine nos?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DIAGNOSES.\"SHORT_TITLE\" = \"Retention urine NOS\"", "question_refine_tok": ["how", "many", "patients", "have", "the", "diagnoses", "short", "title", "as", "retention", "urine", "nos", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"Retention", "urine", "NOS\""]}
{"key": "fed1b8f8e275926988fb95c2e0c476bd", "format": {"table": [0, 1], "cond": [[1, 4, 0, "Abnormal coagulation profile"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "let me know the number of patients who have been diagnosed with abnormal coagulation profile.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DIAGNOSES.\"LONG_TITLE\" = \"Abnormal coagulation profile\"", "question_refine_tok": ["let", "me", "know", "the", "number", "of", "patients", "who", "have", "been", "diagnosed", "with", "abnormal", "coagulation", "profile", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DIAGNOSES.\"LONG_TITLE\"", "=", "\"Abnormal", "coagulation", "profile\""]}
{"key": "318f42563d93b3f821c0a3d1ec3b8fc1", "format": {"table": [0, 2], "cond": [[2, 3, 0, "Aortocor bypas-2 cor art"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients have had the procedure with short title aortocor bypas- 2 cor art?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE PROCEDURES.\"SHORT_TITLE\" = \"Aortocor bypas-2 cor art\"", "question_refine_tok": ["how", "many", "patients", "have", "had", "the", "procedure", "with", "short", "title", "aortocor", "bypas-", "2", "cor", "art", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "PROCEDURES.\"SHORT_TITLE\"", "=", "\"Aortocor", "bypas-2", "cor", "art\""]}
{"key": "aeec1acac06b2d226515b44311fe39e8", "format": {"table": [0, 3], "cond": [[3, 5, 0, "AMBI5"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "which patients have ambi5 drug code?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE PRESCRIPTIONS.\"FORMULARY_DRUG_CD\" = \"AMBI5\"", "question_refine_tok": ["which", "patients", "have", "ambi5", "drug", "code", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "PRESCRIPTIONS.\"FORMULARY_DRUG_CD\"", "=", "\"AMBI5\""]}
{"key": "5ae263a7e899146db64b9cee0143be7d", "format": {"table": [0, 3], "cond": [[3, 5, 0, "SENN187"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "give the number of patients whose drug code = senn187", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE PRESCRIPTIONS.\"FORMULARY_DRUG_CD\" = \"SENN187\"", "question_refine_tok": ["give", "the", "number", "of", "patients", "whose", "drug", "code", "=", "senn187"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "PRESCRIPTIONS.\"FORMULARY_DRUG_CD\"", "=", "\"SENN187\""]}
{"key": "3367d5b29f7e4f12f72481d51a5411a4", "format": {"table": [0, 4], "cond": [[4, 2, 0, 50801]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of patients with lab test item id 50801.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE LAB.\"ITEMID\" = \"50801\"", "question_refine_tok": ["count", "the", "number", "of", "patients", "with", "lab", "test", "item", "i", "d", "50801", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "LAB.\"ITEMID\"", "=", "\"50801\""]}
{"key": "f2fa788bb250839d5c4fe0524d0c4031", "format": {"table": [0, 4], "cond": [[4, 6, 0, "Renal Epithelial Cells"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "provide the number of patients who were tested for renal epithelial cells in the lab tests.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE LAB.\"LABEL\" = \"Renal Epithelial Cells\"", "question_refine_tok": ["provide", "the", "number", "of", "patients", "who", "were", "tested", "for", "renal", "epithelial", "cells", "in", "the", "lab", "tests", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "LAB.\"LABEL\"", "=", "\"Renal", "Epithelial", "Cells\""]}
{"key": "3bff4792c35493da9407769236522036", "format": {"table": [0], "cond": [[0, 6, 0, "F"], [0, 16, 0, "MESENTERIC ISCHEMIA"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of female patients whose primary disease is mesentric ischemia.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"GENDER\" = \"F\" AND DEMOGRAPHIC.\"DIAGNOSIS\" = \"MESENTERIC ISCHEMIA\"", "question_refine_tok": ["count", "the", "number", "of", "female", "patients", "whose", "primary", "disease", "is", "mesentric", "ischemia", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"GENDER\"", "=", "\"F\"", "AND", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"MESENTERIC", "ISCHEMIA\""]}
{"key": "be1db365bf03cf4cf809e3ed1c9e46a6", "format": {"table": [0, 1], "cond": [[0, 6, 0, "M"], [1, 2, 0, "28521"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of patients who are male and their diagnoses icd9 code is 28521.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"GENDER\" = \"M\" AND DIAGNOSES.\"ICD9_CODE\" = \"28521\"", "question_refine_tok": ["count", "the", "number", "of", "patients", "who", "are", "male", "and", "their", "diagnoses", "icd9", "code", "is", "28521", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"GENDER\"", "=", "\"M\"", "AND", "DIAGNOSES.\"ICD9_CODE\"", "=", "\"28521\""]}
{"key": "528663d0638608ad9cab0213d15fd034", "format": {"table": [0, 1], "cond": [[0, 6, 0, "M"], [1, 4, 0, "Sarcoidosis"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many of the male patients were diagnosed with sarcoidosis?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"GENDER\" = \"M\" AND DIAGNOSES.\"LONG_TITLE\" = \"Sarcoidosis\"", "question_refine_tok": ["how", "many", "of", "the", "male", "patients", "were", "diagnosed", "with", "sarcoidosis", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"GENDER\"", "=", "\"M\"", "AND", "DIAGNOSES.\"LONG_TITLE\"", "=", "\"Sarcoidosis\""]}
{"key": "401828c92d77789fb225c5ea093183af", "format": {"table": [0, 1], "cond": [[0, 9, 0, "EMERGENCY"], [1, 4, 0, "Coronary atherosclerosis of native coronary artery"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of patients who were diagnosed with coronary atherosclerosis of native coronary artery and had emergency hospital admission? ", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"ADMISSION_TYPE\" = \"EMERGENCY\" AND DIAGNOSES.\"LONG_TITLE\" = \"Coronary atherosclerosis of native coronary artery\"", "question_refine_tok": ["what", "is", "the", "number", "of", "patients", "who", "were", "diagnosed", "with", "coronary", "atherosclerosis", "of", "native", "coronary", "artery", "and", "had", "emergency", "hospital", "admission", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMISSION_TYPE\"", "=", "\"EMERGENCY\"", "AND", "DIAGNOSES.\"LONG_TITLE\"", "=", "\"Coronary", "atherosclerosis", "of", "native", "coronary", "artery\""]}
{"key": "83c3956465688f779952ef36c242122e", "format": {"table": [0, 4], "cond": [[0, 9, 0, "ELECTIVE"], [4, 6, 0, "Triglycer"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients are with admission type elective and with lab test name triglycer?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"ADMISSION_TYPE\" = \"ELECTIVE\" AND LAB.\"LABEL\" = \"Triglycer\"", "question_refine_tok": ["how", "many", "patients", "are", "with", "admission", "type", "elective", "and", "with", "lab", "test", "name", "triglycer", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMISSION_TYPE\"", "=", "\"ELECTIVE\"", "AND", "LAB.\"LABEL\"", "=", "\"Triglycer\""]}
{"key": "0ec59a1c6cc945133eed9da853d54595", "format": {"table": [0, 2], "cond": [[0, 11, 0, "Medicare"], [2, 4, 0, "Initial insertion of transvenous lead [electrode] into ventricle"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients with medicare insurance and underwent the procedure of initial insertion of transvenous lead [electrode] into ventricle?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"INSURANCE\" = \"Medicare\" AND PROCEDURES.\"LONG_TITLE\" = \"Initial insertion of transvenous lead [electrode] into ventricle\"", "question_refine_tok": ["how", "many", "patients", "with", "medicare", "insurance", "and", "underwent", "the", "procedure", "of", "initial", "insertion", "of", "transvenous", "lead", "[", "electrode", "]", "into", "ventricle", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"INSURANCE\"", "=", "\"Medicare\"", "AND", "PROCEDURES.\"LONG_TITLE\"", "=", "\"Initial", "insertion", "of", "transvenous", "lead", "[electrode]", "into", "ventricle\""]}
{"key": "bbc51ab961495653985401af895a8b22", "format": {"table": [0], "cond": [[0, 16, 0, "CORONARY ARTERY DISEASE\\CORONARY ARTERY BYPASS GRAFT /SDA"], [0, 18, 2, 2095]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many of the patients with coronary artery disease\\coronary artery bypass graft /sda as primary disease were born in the year less than 2095?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"CORONARY ARTERY DISEASE\\CORONARY ARTERY BYPASS GRAFT /SDA\" AND DEMOGRAPHIC.\"DOB_YEAR\" < \"2095\"", "question_refine_tok": ["how", "many", "of", "the", "patients", "with", "coronary", "artery", "disease\\coronary", "artery", "bypass", "graft", "/sda", "as", "primary", "disease", "were", "born", "in", "the", "year", "less", "than", "2095", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"CORONARY", "ARTERY", "DISEASE\\CORONARY", "ARTERY", "BYPASS", "GRAFT", "/SDA\"", "AND", "DEMOGRAPHIC.\"DOB_YEAR\"", "<", "\"2095\""]}
{"key": "24f5349f1e417803b5da59d400c8aac0", "format": {"table": [0], "cond": [[0, 16, 0, "COLANGITIS"], [0, 18, 2, 2111]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "provide me the number of patients with cholangitis primary disease who were born before 2111.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"COLANGITIS\" AND DEMOGRAPHIC.\"DOB_YEAR\" < \"2111\"", "question_refine_tok": ["provide", "me", "the", "number", "of", "patients", "with", "cholangitis", "primary", "disease", "who", "were", "born", "before", "2111", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"COLANGITIS\"", "AND", "DEMOGRAPHIC.\"DOB_YEAR\"", "<", "\"2111\""]}
{"key": "9f4af890c8fda10483d0039ff85316f7", "format": {"table": [0], "cond": [[0, 16, 0, "SEPSIS"], [0, 18, 2, 2101]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "provide the number of patients born before 2101 who have sepsis primary disease.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"SEPSIS\" AND DEMOGRAPHIC.\"DOB_YEAR\" < \"2101\"", "question_refine_tok": ["provide", "the", "number", "of", "patients", "born", "before", "2101", "who", "have", "sepsis", "primary", "disease", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"SEPSIS\"", "AND", "DEMOGRAPHIC.\"DOB_YEAR\"", "<", "\"2101\""]}
{"key": "0922b04bb36dea14cfc2fc847801c79e", "format": {"table": [0], "cond": [[0, 16, 0, "PNEUMONIA"], [0, 19, 4, 2155.0]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of patients whose primary disease is pneumonia and who died in or before year 2155.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"PNEUMONIA\" AND DEMOGRAPHIC.\"DOD_YEAR\" <= \"2155.0\"", "question_refine_tok": ["count", "the", "number", "of", "patients", "whose", "primary", "disease", "is", "pneumonia", "and", "who", "died", "in", "or", "before", "year", "2155", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"PNEUMONIA\"", "AND", "DEMOGRAPHIC.\"DOD_YEAR\"", "<=", "\"2155.0\""]}
{"key": "93a5af8a2b4c6a1a500244ac3e8f1540", "format": {"table": [0], "cond": [[0, 16, 0, "LEFT INTERNAL JUGULAR VEIN THROMBOSIS;LEFT ARM EDEMA"], [0, 19, 4, 2131.0]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of patients with left internal jugular vein thrombosis; left arm edema who died on or before the year 2131.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"LEFT INTERNAL JUGULAR VEIN THROMBOSIS;LEFT ARM EDEMA\" AND DEMOGRAPHIC.\"DOD_YEAR\" <= \"2131.0\"", "question_refine_tok": ["count", "the", "number", "of", "patients", "with", "left", "internal", "jugular", "vein", "thrombosis", ";", "left", "arm", "edema", "who", "died", "on", "or", "before", "the", "year", "2131", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"LEFT", "INTERNAL", "JUGULAR", "VEIN", "THROMBOSIS;LEFT", "ARM", "EDEMA\"", "AND", "DEMOGRAPHIC.\"DOD_YEAR\"", "<=", "\"2131.0\""]}
{"key": "1ad6d4493378299b27dc304b91bb31cd", "format": {"table": [0, 4], "cond": [[0, 16, 0, "BOWEL OBSTRUCTION"], [4, 7, 0, "Blood"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "provide the number of patients diagnosed with bowel obstruction and their lab test fluid is blood.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"BOWEL OBSTRUCTION\" AND LAB.\"FLUID\" = \"Blood\"", "question_refine_tok": ["provide", "the", "number", "of", "patients", "diagnosed", "with", "bowel", "obstruction", "and", "their", "lab", "test", "fluid", "is", "blood", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"BOWEL", "OBSTRUCTION\"", "AND", "LAB.\"FLUID\"", "=", "\"Blood\""]}
{"key": "5197c430b4fc0faf3495a0cfccea3748", "format": {"table": [0, 4], "cond": [[0, 16, 0, "LEFT COLON CANCER"], [4, 7, 0, "Urine"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "find the number of patients with left colon cancer primary disease who had urine test done.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"LEFT COLON CANCER\" AND LAB.\"FLUID\" = \"Urine\"", "question_refine_tok": ["find", "the", "number", "of", "patients", "with", "left", "colon", "cancer", "primary", "disease", "who", "had", "urine", "test", "done", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"LEFT", "COLON", "CANCER\"", "AND", "LAB.\"FLUID\"", "=", "\"Urine\""]}
{"key": "cb4cd33873a4173d4b8ab67734ddb41e", "format": {"table": [0], "cond": [[0, 4, 2, 76], [0, 10, 1, 27]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of patients less than 76 years who stayed in hospital for more than 27 days.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"AGE\" < \"76\" AND DEMOGRAPHIC.\"DAYS_STAY\" > \"27\"", "question_refine_tok": ["count", "the", "number", "of", "patients", "less", "than", "76", "years", "who", "stayed", "in", "hospital", "for", "more", "than", "27", "days", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"AGE\"", "<", "\"76\"", "AND", "DEMOGRAPHIC.\"DAYS_STAY\"", ">", "\"27\""]}
{"key": "c3e4e578ac7965c82b91300abf2705c6", "format": {"table": [0, 3], "cond": [[0, 4, 2, 56], [3, 4, 0, "Benztropine Mesylate"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "find the number of patients aged less than 56 years who have prescription for benztropine mesylate drug.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"AGE\" < \"56\" AND PRESCRIPTIONS.\"DRUG\" = \"Benztropine Mesylate\"", "question_refine_tok": ["find", "the", "number", "of", "patients", "aged", "less", "than", "56", "years", "who", "have", "prescription", "for", "benztropine", "mesylate", "drug", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"AGE\"", "<", "\"56\"", "AND", "PRESCRIPTIONS.\"DRUG\"", "=", "\"Benztropine", "Mesylate\""]}
{"key": "779b68e1631823b86d4d5078407e5e69", "format": {"table": [0, 3], "cond": [[0, 4, 2, 86], [3, 4, 0, "D5NS"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many of the patients aged below 86 were treated with d5ns?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"AGE\" < \"86\" AND PRESCRIPTIONS.\"DRUG\" = \"D5NS\"", "question_refine_tok": ["how", "many", "of", "the", "patients", "aged", "below", "86", "were", "treated", "with", "d5ns", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"AGE\"", "<", "\"86\"", "AND", "PRESCRIPTIONS.\"DRUG\"", "=", "\"D5NS\""]}
{"key": "61dc27fa7c4d1a9b9a05570373aa83ff", "format": {"table": [0, 3], "cond": [[0, 4, 2, 83], [3, 5, 0, "FENT100T"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "give the number of patients aged below 83 years had the drug code fent100t?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"AGE\" < \"83\" AND PRESCRIPTIONS.\"FORMULARY_DRUG_CD\" = \"FENT100T\"", "question_refine_tok": ["give", "the", "number", "of", "patients", "aged", "below", "83", "years", "had", "the", "drug", "code", "fent100", "t", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"AGE\"", "<", "\"83\"", "AND", "PRESCRIPTIONS.\"FORMULARY_DRUG_CD\"", "=", "\"FENT100T\""]}
{"key": "bededdf219afb8b676b5ed4081ffaed1", "format": {"table": [0, 4], "cond": [[0, 4, 2, 63], [4, 2, 0, 51098]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of patients less than 63 years who have lab test item id 51098.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"AGE\" < \"63\" AND LAB.\"ITEMID\" = \"51098\"", "question_refine_tok": ["count", "the", "number", "of", "patients", "less", "than", "63", "years", "who", "have", "lab", "test", "item", "i", "d", "51098", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"AGE\"", "<", "\"63\"", "AND", "LAB.\"ITEMID\"", "=", "\"51098\""]}
{"key": "c61bb076234357e995b3b466c527ab4f", "format": {"table": [0, 4], "cond": [[0, 4, 2, 50], [4, 2, 0, 50952]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "look for the number of patients less than 50 years of age with lab test item id 50952.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"AGE\" < \"50\" AND LAB.\"ITEMID\" = \"50952\"", "question_refine_tok": ["look", "for", "the", "number", "of", "patients", "less", "than", "50", "years", "of", "age", "with", "lab", "test", "item", "i", "d", "50952", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"AGE\"", "<", "\"50\"", "AND", "LAB.\"ITEMID\"", "=", "\"50952\""]}
{"key": "8da00131e873a8500bad5a6aa8da7da2", "format": {"table": [0, 4], "cond": [[0, 4, 2, 77], [4, 2, 0, 51032]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients are below 77 years of age and tested with lab item id 51032?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"AGE\" < \"77\" AND LAB.\"ITEMID\" = \"51032\"", "question_refine_tok": ["how", "many", "patients", "are", "below", "77", "years", "of", "age", "and", "tested", "with", "lab", "item", "i", "d", "51032", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"AGE\"", "<", "\"77\"", "AND", "LAB.\"ITEMID\"", "=", "\"51032\""]}
{"key": "ff6fb9c92375cbb92db3b4ca92a1643f", "format": {"table": [0, 4], "cond": [[0, 4, 2, 56], [4, 2, 0, 51484]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients aged below 56 years had the item id 51484?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"AGE\" < \"56\" AND LAB.\"ITEMID\" = \"51484\"", "question_refine_tok": ["how", "many", "patients", "aged", "below", "56", "years", "had", "the", "item", "i", "d", "51484", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"AGE\"", "<", "\"56\"", "AND", "LAB.\"ITEMID\"", "=", "\"51484\""]}
{"key": "25acee98872aa77ef098fe638c532f69", "format": {"table": [0, 1], "cond": [[0, 10, 1, 4], [1, 2, 0, "45821"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients stayed in hospital for more than 4 days and have diagnosis icd9 code 45821?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"DAYS_STAY\" > \"4\" AND DIAGNOSES.\"ICD9_CODE\" = \"45821\"", "question_refine_tok": ["how", "many", "patients", "stayed", "in", "hospital", "for", "more", "than", "4", "days", "and", "have", "diagnosis", "icd9", "code", "45821", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DAYS_STAY\"", ">", "\"4\"", "AND", "DIAGNOSES.\"ICD9_CODE\"", "=", "\"45821\""]}
{"key": "41d628d6610f7747a9a6276d41b62bfe", "format": {"table": [0, 2], "cond": [[0, 10, 1, 9], [2, 4, 0, "Initial insertion of transvenous lead [electrode] into ventricle"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "among patients who had initial insertion of transvenous lead [electrode] into ventricle, caclulate the number of those who remained admitted in hospital for more than 9 days.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"DAYS_STAY\" > \"9\" AND PROCEDURES.\"LONG_TITLE\" = \"Initial insertion of transvenous lead [electrode] into ventricle\"", "question_refine_tok": ["among", "patients", "who", "had", "initial", "insertion", "of", "transvenous", "lead", "[", "electrode", "]", "into", "ventricle", ",", "caclulate", "the", "number", "of", "those", "who", "remained", "admitted", "in", "hospital", "for", "more", "than", "9", "days", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DAYS_STAY\"", ">", "\"9\"", "AND", "PROCEDURES.\"LONG_TITLE\"", "=", "\"Initial", "insertion", "of", "transvenous", "lead", "[electrode]", "into", "ventricle\""]}
{"key": "2772a349ba8b871289a55f71877fc756", "format": {"table": [0, 2], "cond": [[0, 22, 2, 2157], [2, 4, 0, "Open reduction of fracture with internal fixation, femur"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of patients who were admitted to the hospital before year 2157 whose open reduction of fracture with internal fixation, femur.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"ADMITYEAR\" < \"2157\" AND PROCEDURES.\"LONG_TITLE\" = \"Open reduction of fracture with internal fixation, femur\"", "question_refine_tok": ["count", "the", "number", "of", "patients", "who", "were", "admitted", "to", "the", "hospital", "before", "year", "2157", "whose", "open", "reduction", "of", "fracture", "with", "internal", "fixation", ",", "femur", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2157\"", "AND", "PROCEDURES.\"LONG_TITLE\"", "=", "\"Open", "reduction", "of", "fracture", "with", "internal", "fixation,", "femur\""]}
{"key": "4db729f841b48be3484b601866bd3112", "format": {"table": [0, 1, 4], "cond": [[1, 3, 0, "Angioneurotic edema"], [4, 4, 0, "abnormal"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of patients diagnosed with angioneurotic edema who had abnormal lab test status.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DIAGNOSES.\"SHORT_TITLE\" = \"Angioneurotic edema\" AND LAB.\"FLAG\" = \"abnormal\"", "question_refine_tok": ["count", "the", "number", "of", "patients", "diagnosed", "with", "angioneurotic", "edema", "who", "had", "abnormal", "lab", "test", "status", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"Angioneurotic", "edema\"", "AND", "LAB.\"FLAG\"", "=", "\"abnormal\""]}
{"key": "2fc9629947cb270cccfd9a182d124766", "format": {"table": [0, 1, 3], "cond": [[1, 4, 0, "Coronary atherosclerosis of unspecified type of vessel, native or graft"], [3, 3, 0, "MAIN"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "provide the number of patients having main type drug prescription who have coronary atherosclerosis of unspecified type of vessel, native or graft diagnoses.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DIAGNOSES.\"LONG_TITLE\" = \"Coronary atherosclerosis of unspecified type of vessel, native or graft\" AND PRESCRIPTIONS.\"DRUG_TYPE\" = \"MAIN\"", "question_refine_tok": ["provide", "the", "number", "of", "patients", "having", "main", "type", "drug", "prescription", "who", "have", "coronary", "atherosclerosis", "of", "unspecified", "type", "of", "vessel", ",", "native", "or", "graft", "diagnoses", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DIAGNOSES.\"LONG_TITLE\"", "=", "\"Coronary", "atherosclerosis", "of", "unspecified", "type", "of", "vessel,", "native", "or", "graft\"", "AND", "PRESCRIPTIONS.\"DRUG_TYPE\"", "=", "\"MAIN\""]}
{"key": "e7602e04cdb909c4f0ee9f7b4209b4ff", "format": {"table": [0, 1, 3], "cond": [[1, 4, 0, "Cellulitis and abscess of leg, except foot"], [3, 6, 0, "PO"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "provide the number of patients on po route of drug administration who have cellulitis and abscess of leg, except foot diagnoses.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DIAGNOSES.\"LONG_TITLE\" = \"Cellulitis and abscess of leg, except foot\" AND PRESCRIPTIONS.\"ROUTE\" = \"PO\"", "question_refine_tok": ["provide", "the", "number", "of", "patients", "on", "po", "route", "of", "drug", "administration", "who", "have", "cellulitis", "and", "abscess", "of", "leg", ",", "except", "foot", "diagnoses", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DIAGNOSES.\"LONG_TITLE\"", "=", "\"Cellulitis", "and", "abscess", "of", "leg,", "except", "foot\"", "AND", "PRESCRIPTIONS.\"ROUTE\"", "=", "\"PO\""]}
{"key": "0dbc7ac4821026c20c4ce78cca2f9939", "format": {"table": [0, 1, 4], "cond": [[1, 4, 0, "Chronic obstructive asthma, unspecified"], [4, 8, 0, "Hematology"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many of the patients with unspecified chronic obstructive asthma, had a lab test for hematology?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DIAGNOSES.\"LONG_TITLE\" = \"Chronic obstructive asthma, unspecified\" AND LAB.\"CATEGORY\" = \"Hematology\"", "question_refine_tok": ["how", "many", "of", "the", "patients", "with", "unspecified", "chronic", "obstructive", "asthma", ",", "had", "a", "lab", "test", "for", "hematology", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DIAGNOSES.\"LONG_TITLE\"", "=", "\"Chronic", "obstructive", "asthma,", "unspecified\"", "AND", "LAB.\"CATEGORY\"", "=", "\"Hematology\""]}
{"key": "c96ec93a617dda2baa0f80db114cf256", "format": {"table": [1], "cond": [[1, 0, 0, 2560]], "agg_col": [[1, 3]], "sel": 0}, "question_refine": "specify icd9 code for patient id 2560", "sql": "SELECT DIAGNOSES.\"SHORT_TITLE\" FROM DIAGNOSES WHERE DIAGNOSES.\"SUBJECT_ID\" = \"2560\"", "question_refine_tok": ["specify", "icd9", "code", "for", "patient", "i", "d", "2560"], "sql_tok": ["SELECT", "DIAGNOSES.\"SHORT_TITLE\"", "FROM", "DIAGNOSES", "WHERE", "DIAGNOSES.\"SUBJECT_ID\"", "=", "\"2560\""]}
{"key": "fc0d73ede81fca9198dcb2aa49698fea", "format": {"table": [1, 2], "cond": [[1, 0, 0, 7578]], "agg_col": [[1, 4], [2, 2]], "sel": 0}, "question_refine": "mention the diagnosis long title and procedure icd9 code of subject id 7578.", "sql": "SELECT DIAGNOSES.\"LONG_TITLE\",PROCEDURES.\"ICD9_CODE\" FROM DIAGNOSES INNER JOIN PROCEDURES on DIAGNOSES.HADM_ID = PROCEDURES.HADM_ID WHERE DIAGNOSES.\"SUBJECT_ID\" = \"7578\"", "question_refine_tok": ["mention", "the", "diagnosis", "long", "title", "and", "procedure", "icd9", "code", "of", "subject", "i", "d", "7578", "."], "sql_tok": ["SELECT", "DIAGNOSES.\"LONG_TITLE\",PROCEDURES.\"ICD9_CODE\"", "FROM", "DIAGNOSES", "INNER", "JOIN", "PROCEDURES", "on", "DIAGNOSES.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DIAGNOSES.\"SUBJECT_ID\"", "=", "\"7578\""]}
{"key": "da8165af0bc363e4c4025cddebd76712", "format": {"table": [0, 1], "cond": [[0, 0, 0, 28588]], "agg_col": [[0, 10], [1, 2]], "sel": 0}, "question_refine": "find the diagnosis icd9 code and the number of days the patient with patient id 28588 stayed in hospital.", "sql": "SELECT DEMOGRAPHIC.\"DAYS_STAY\",DIAGNOSES.\"ICD9_CODE\" FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"28588\"", "question_refine_tok": ["find", "the", "diagnosis", "icd9", "code", "and", "the", "number", "of", "days", "the", "patient", "with", "patient", "i", "d", "28588", "stayed", "in", "hospital", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DAYS_STAY\",DIAGNOSES.\"ICD9_CODE\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"28588\""]}
{"key": "6037fa02a262c20e36ca0bcc7630285e", "format": {"table": [0], "cond": [[0, 0, 0, 18112]], "agg_col": [[0, 10]], "sel": 0}, "question_refine": "how many days of hospital stay was made by the patient id 18112?", "sql": "SELECT DEMOGRAPHIC.\"DAYS_STAY\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"18112\"", "question_refine_tok": ["how", "many", "days", "of", "hospital", "stay", "was", "made", "by", "the", "patient", "i", "d", "18112", "?"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DAYS_STAY\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"18112\""]}
{"key": "fbf569d6a8a805987aa203137b34b902", "format": {"table": [0, 4], "cond": [[0, 0, 0, 32418]], "agg_col": [[0, 10], [4, 6]], "sel": 0}, "question_refine": "what is the days of hospital stay and lab test name of subject id 32418?", "sql": "SELECT DEMOGRAPHIC.\"DAYS_STAY\",LAB.\"LABEL\" FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"32418\"", "question_refine_tok": ["what", "is", "the", "days", "of", "hospital", "stay", "and", "lab", "test", "name", "of", "subject", "i", "d", "32418", "?"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DAYS_STAY\",LAB.\"LABEL\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"32418\""]}
{"key": "2d7b5f2ea996f473197f42b1f3853e71", "format": {"table": [0, 2], "cond": [[0, 0, 0, 22377]], "agg_col": [[0, 16], [2, 4]], "sel": 0}, "question_refine": "what is the primary disease and procedure long title of subject id 22377?", "sql": "SELECT DEMOGRAPHIC.\"DIAGNOSIS\",PROCEDURES.\"LONG_TITLE\" FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"22377\"", "question_refine_tok": ["what", "is", "the", "primary", "disease", "and", "procedure", "long", "title", "of", "subject", "i", "d", "22377", "?"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DIAGNOSIS\",PROCEDURES.\"LONG_TITLE\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"22377\""]}
{"key": "639674d632d3bad83273098102ab1eda", "format": {"table": [0], "cond": [[0, 0, 0, 87275]], "agg_col": [[0, 5], [0, 6]], "sel": 0}, "question_refine": "tell me the birth date and gender of patient with patient id 87275.", "sql": "SELECT DEMOGRAPHIC.\"DOB\",DEMOGRAPHIC.\"GENDER\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"87275\"", "question_refine_tok": ["tell", "me", "the", "birth", "date", "and", "gender", "of", "patient", "with", "patient", "i", "d", "87275", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DOB\",DEMOGRAPHIC.\"GENDER\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"87275\""]}
{"key": "50dddbaf7f9f455a98d72dcb6f8b8807", "format": {"table": [0, 2], "cond": [[0, 0, 0, 1875]], "agg_col": [[0, 16], [2, 3]], "sel": 0}, "question_refine": "specify the primary disease and icd9 code of patient id 1875", "sql": "SELECT DEMOGRAPHIC.\"DIAGNOSIS\",PROCEDURES.\"SHORT_TITLE\" FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"1875\"", "question_refine_tok": ["specify", "the", "primary", "disease", "and", "icd9", "code", "of", "patient", "i", "d", "1875"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DIAGNOSIS\",PROCEDURES.\"SHORT_TITLE\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"1875\""]}
{"key": "6f5ef128921866ba5135f5ca3f1a9aca", "format": {"table": [2], "cond": [[2, 0, 0, 42963]], "agg_col": [[2, 3]], "sel": 0}, "question_refine": "specify icd9 code of patient id 42963", "sql": "SELECT PROCEDURES.\"SHORT_TITLE\" FROM PROCEDURES WHERE PROCEDURES.\"SUBJECT_ID\" = \"42963\"", "question_refine_tok": ["specify", "icd9", "code", "of", "patient", "i", "d", "42963"], "sql_tok": ["SELECT", "PROCEDURES.\"SHORT_TITLE\"", "FROM", "PROCEDURES", "WHERE", "PROCEDURES.\"SUBJECT_ID\"", "=", "\"42963\""]}
{"key": "99e479124ac68108075062cab6708828", "format": {"table": [1, 2], "cond": [[1, 0, 0, 11221]], "agg_col": [[1, 3], [2, 4]], "sel": 0}, "question_refine": "find out the short title of diagnoses and long title of diagnoses for patient with patient id 11221.", "sql": "SELECT DIAGNOSES.\"SHORT_TITLE\",PROCEDURES.\"LONG_TITLE\" FROM DIAGNOSES INNER JOIN PROCEDURES on DIAGNOSES.HADM_ID = PROCEDURES.HADM_ID WHERE DIAGNOSES.\"SUBJECT_ID\" = \"11221\"", "question_refine_tok": ["find", "out", "the", "short", "title", "of", "diagnoses", "and", "long", "title", "of", "diagnoses", "for", "patient", "with", "patient", "i", "d", "11221", "."], "sql_tok": ["SELECT", "DIAGNOSES.\"SHORT_TITLE\",PROCEDURES.\"LONG_TITLE\"", "FROM", "DIAGNOSES", "INNER", "JOIN", "PROCEDURES", "on", "DIAGNOSES.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DIAGNOSES.\"SUBJECT_ID\"", "=", "\"11221\""]}
{"key": "ff8c8fafa620f655ad672e651ac0f559", "format": {"table": [0], "cond": [[0, 2, 0, "Paul Edwards"]], "agg_col": [[0, 10], [0, 20]], "sel": 0}, "question_refine": "let me know the time of admission and days for which patient paul edwards was hospitalized.", "sql": "SELECT DEMOGRAPHIC.\"DAYS_STAY\",DEMOGRAPHIC.\"ADMITTIME\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"NAME\" = \"Paul Edwards\"", "question_refine_tok": ["let", "me", "know", "the", "time", "of", "admission", "and", "days", "for", "which", "patient", "paul", "edwards", "was", "hospitalized", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DAYS_STAY\",DEMOGRAPHIC.\"ADMITTIME\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Paul", "Edwards\""]}
{"key": "d24b6f4ac480442953eb6fe4b34f655f", "format": {"table": [0, 1], "cond": [[0, 2, 0, "Cynthia Robinson"]], "agg_col": [[0, 21], [1, 3]], "sel": 0}, "question_refine": "let me know the short title of diagnoses and time of discharge for patient cynthia robinson.", "sql": "SELECT DEMOGRAPHIC.\"DISCHTIME\",DIAGNOSES.\"SHORT_TITLE\" FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"NAME\" = \"Cynthia Robinson\"", "question_refine_tok": ["let", "me", "know", "the", "short", "title", "of", "diagnoses", "and", "time", "of", "discharge", "for", "patient", "cynthia", "robinson", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DISCHTIME\",DIAGNOSES.\"SHORT_TITLE\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Cynthia", "Robinson\""]}
{"key": "dad12ce356ba1e3c126f8b176a8d99e2", "format": {"table": [0, 1, 2], "cond": [[0, 2, 0, "Lue White"]], "agg_col": [[1, 3], [2, 3]], "sel": 0}, "question_refine": "let me know the short title of both procedure and diagnoses for patient lue white.", "sql": "SELECT DIAGNOSES.\"SHORT_TITLE\",PROCEDURES.\"SHORT_TITLE\" FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"NAME\" = \"Lue White\"", "question_refine_tok": ["let", "me", "know", "the", "short", "title", "of", "both", "procedure", "and", "diagnoses", "for", "patient", "lue", "white", "."], "sql_tok": ["SELECT", "DIAGNOSES.\"SHORT_TITLE\",PROCEDURES.\"SHORT_TITLE\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Lue", "White\""]}
{"key": "d28a0db64d0f7b970590a639622a20cb", "format": {"table": [0], "cond": [[0, 2, 0, "Claude Chipman"]], "agg_col": [[0, 10], [0, 16]], "sel": 0}, "question_refine": "report the primary disease and number of days for which patient claude chipman was hospitalized.", "sql": "SELECT DEMOGRAPHIC.\"DAYS_STAY\",DEMOGRAPHIC.\"DIAGNOSIS\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"NAME\" = \"Claude Chipman\"", "question_refine_tok": ["report", "the", "primary", "disease", "and", "number", "of", "days", "for", "which", "patient", "claude", "chipman", "was", "hospitalized", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DAYS_STAY\",DEMOGRAPHIC.\"DIAGNOSIS\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Claude", "Chipman\""]}
{"key": "d04db70d35f49c9fa23a0cb40bbd3358", "format": {"table": [0, 2], "cond": [[0, 2, 0, "Claude Chipman"]], "agg_col": [[0, 16], [2, 3]], "sel": 0}, "question_refine": "specify the icd9 code and parimary disease for patient claude chipman", "sql": "SELECT DEMOGRAPHIC.\"DIAGNOSIS\",PROCEDURES.\"SHORT_TITLE\" FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"NAME\" = \"Claude Chipman\"", "question_refine_tok": ["specify", "the", "icd9", "code", "and", "parimary", "disease", "for", "patient", "claude", "chipman"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DIAGNOSIS\",PROCEDURES.\"SHORT_TITLE\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Claude", "Chipman\""]}
{"key": "35445c971249c639d4ccb7f221843f01", "format": {"table": [0], "cond": [[0, 2, 0, "Cynthia Gomez"]], "agg_col": [[0, 4], [0, 6]], "sel": 0}, "question_refine": "what is the age and gender of the patient name cynthia gomez?", "sql": "SELECT DEMOGRAPHIC.\"AGE\",DEMOGRAPHIC.\"GENDER\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"NAME\" = \"Cynthia Gomez\"", "question_refine_tok": ["what", "is", "the", "age", "and", "gender", "of", "the", "patient", "name", "cynthia", "gomez", "?"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"AGE\",DEMOGRAPHIC.\"GENDER\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Cynthia", "Gomez\""]}
{"key": "402c2bb7b6164aa0164625694046f7e6", "format": {"table": [0], "cond": [[0, 2, 0, "Alice Nixon"]], "agg_col": [[0, 20], [0, 21]], "sel": 0}, "question_refine": "give the admission time and discharge time of subject name alice nixon.", "sql": "SELECT DEMOGRAPHIC.\"ADMITTIME\",DEMOGRAPHIC.\"DISCHTIME\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"NAME\" = \"Alice Nixon\"", "question_refine_tok": ["give", "the", "admission", "time", "and", "discharge", "time", "of", "subject", "name", "alice", "nixon", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"ADMITTIME\",DEMOGRAPHIC.\"DISCHTIME\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Alice", "Nixon\""]}
{"key": "533ad6057e29f3ba6cf2bf96e35f7e59", "format": {"table": [0, 3], "cond": [[0, 2, 0, "Dona Cole"]], "agg_col": [[0, 10], [3, 4]], "sel": 0}, "question_refine": "specify the duration of hospital and drug name dona cole was treated with. ", "sql": "SELECT DEMOGRAPHIC.\"DAYS_STAY\",PRESCRIPTIONS.\"DRUG\" FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"NAME\" = \"Dona Cole\"", "question_refine_tok": ["specify", "the", "duration", "of", "hospital", "and", "drug", "name", "dona", "cole", "was", "treated", "with", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DAYS_STAY\",PRESCRIPTIONS.\"DRUG\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Dona", "Cole\""]}
{"key": "2f5fc16655ba8d03ca7beb4cbf63d8f9", "format": {"table": [0, 3], "cond": [[0, 2, 0, "Marilyn Norvell"]], "agg_col": [[0, 16], [3, 4]], "sel": 0}, "question_refine": "what is the primary disease and drug name of the patient marilyn norvell?", "sql": "SELECT DEMOGRAPHIC.\"DIAGNOSIS\",PRESCRIPTIONS.\"DRUG\" FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"NAME\" = \"Marilyn Norvell\"", "question_refine_tok": ["what", "is", "the", "primary", "disease", "and", "drug", "name", "of", "the", "patient", "marilyn", "norvell", "?"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DIAGNOSIS\",PRESCRIPTIONS.\"DRUG\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Marilyn", "Norvell\""]}
{"key": "3fb8b9a8e8b885e6de4af27b37d76480", "format": {"table": [0, 1], "cond": [[0, 2, 0, "Troy Friedman"]], "agg_col": [[0, 10], [1, 2]], "sel": 0}, "question_refine": "tell me the diagnoses icd9 code days for which patient troy friedman was hospitalized.", "sql": "SELECT DEMOGRAPHIC.\"DAYS_STAY\",DIAGNOSES.\"ICD9_CODE\" FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"NAME\" = \"Troy Friedman\"", "question_refine_tok": ["tell", "me", "the", "diagnoses", "icd9", "code", "days", "for", "which", "patient", "troy", "friedman", "was", "hospitalized", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DAYS_STAY\",DIAGNOSES.\"ICD9_CODE\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Troy", "Friedman\""]}
{"key": "16606a0fe5e97041a711afcf9761547f", "format": {"table": [0], "cond": [[0, 2, 0, "Robert Hyden"]], "agg_col": [[0, 16], [0, 21]], "sel": 0}, "question_refine": "provide the primary disease and discharge time of the subject named robert hyden.", "sql": "SELECT DEMOGRAPHIC.\"DIAGNOSIS\",DEMOGRAPHIC.\"DISCHTIME\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"NAME\" = \"Robert Hyden\"", "question_refine_tok": ["provide", "the", "primary", "disease", "and", "discharge", "time", "of", "the", "subject", "named", "robert", "hyden", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DIAGNOSIS\",DEMOGRAPHIC.\"DISCHTIME\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Robert", "Hyden\""]}
{"key": "38a3d30ef5c6f1bee1c06ee36510f18e", "format": {"table": [0, 1], "cond": [[0, 2, 0, "Thomas Nazario"]], "agg_col": [[0, 20], [1, 3]], "sel": 0}, "question_refine": "what is the admission time and diagnoses short title of subject name thomas nazario?", "sql": "SELECT DEMOGRAPHIC.\"ADMITTIME\",DIAGNOSES.\"SHORT_TITLE\" FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"NAME\" = \"Thomas Nazario\"", "question_refine_tok": ["what", "is", "the", "admission", "time", "and", "diagnoses", "short", "title", "of", "subject", "name", "thomas", "nazario", "?"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"ADMITTIME\",DIAGNOSES.\"SHORT_TITLE\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Thomas", "Nazario\""]}
{"key": "2e771be856aa622d7ad42d640dae6b89", "format": {"table": [0, 1], "cond": [[0, 2, 0, "Roxanna Weaver"]], "agg_col": [[0, 20], [1, 4]], "sel": 0}, "question_refine": "let me know the time of admission and long title of diagnoses for patient roxanna weaver.", "sql": "SELECT DEMOGRAPHIC.\"ADMITTIME\",DIAGNOSES.\"LONG_TITLE\" FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"NAME\" = \"Roxanna Weaver\"", "question_refine_tok": ["let", "me", "know", "the", "time", "of", "admission", "and", "long", "title", "of", "diagnoses", "for", "patient", "roxanna", "weaver", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"ADMITTIME\",DIAGNOSES.\"LONG_TITLE\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Roxanna", "Weaver\""]}
{"key": "29e9ce2a92a34008b2aa11f056cab5fc", "format": {"table": [0], "cond": [[0, 2, 0, "Brian Brock"]], "agg_col": [[0, 5], [0, 16]], "sel": 0}, "question_refine": "let me know the birth date and primary disease of patient brian brock.", "sql": "SELECT DEMOGRAPHIC.\"DOB\",DEMOGRAPHIC.\"DIAGNOSIS\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"NAME\" = \"Brian Brock\"", "question_refine_tok": ["let", "me", "know", "the", "birth", "date", "and", "primary", "disease", "of", "patient", "brian", "brock", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DOB\",DEMOGRAPHIC.\"DIAGNOSIS\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Brian", "Brock\""]}
{"key": "f8018e9728f8f1c37a31cf358df8c203", "format": {"table": [0, 1], "cond": [[0, 2, 0, "Travis Hofman"]], "agg_col": [[0, 13], [1, 3]], "sel": 0}, "question_refine": "let me know the short title of diagnoses and death status of patient travis hofman.", "sql": "SELECT DEMOGRAPHIC.\"EXPIRE_FLAG\",DIAGNOSES.\"SHORT_TITLE\" FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"NAME\" = \"Travis Hofman\"", "question_refine_tok": ["let", "me", "know", "the", "short", "title", "of", "diagnoses", "and", "death", "status", "of", "patient", "travis", "hofman", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"EXPIRE_FLAG\",DIAGNOSES.\"SHORT_TITLE\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Travis", "Hofman\""]}
{"key": "4fbb49935114a0065ebba9e7777ed9b4", "format": {"table": [0, 1], "cond": [[0, 2, 0, "Caren Obrien"]], "agg_col": [[0, 16], [1, 3]], "sel": 0}, "question_refine": "specify the primary disease and icd9 code of patient caren obrien", "sql": "SELECT DEMOGRAPHIC.\"DIAGNOSIS\",DIAGNOSES.\"SHORT_TITLE\" FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"NAME\" = \"Caren Obrien\"", "question_refine_tok": ["specify", "the", "primary", "disease", "and", "icd9", "code", "of", "patient", "caren", "obrien"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DIAGNOSIS\",DIAGNOSES.\"SHORT_TITLE\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Caren", "Obrien\""]}
{"key": "d5e3e02cbcff7b5615c6c023faa488a1", "format": {"table": [0, 1], "cond": [[0, 2, 0, "Miguel Hodges"]], "agg_col": [[0, 10], [1, 3]], "sel": 0}, "question_refine": "what is the days of hospital stay and diagnosis short title of subject name miguel hodges?", "sql": "SELECT DEMOGRAPHIC.\"DAYS_STAY\",DIAGNOSES.\"SHORT_TITLE\" FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"NAME\" = \"Miguel Hodges\"", "question_refine_tok": ["what", "is", "the", "days", "of", "hospital", "stay", "and", "diagnosis", "short", "title", "of", "subject", "name", "miguel", "hodges", "?"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DAYS_STAY\",DIAGNOSES.\"SHORT_TITLE\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Miguel", "Hodges\""]}
{"key": "b59c216686c91cc224cae8e21204c707", "format": {"table": [1], "cond": [[1, 2, 0, "E912"]], "agg_col": [[1, 3], [1, 4]], "sel": 0}, "question_refine": "get me both the short title and long title of diagnoses for diagnoses icd9 code e912.", "sql": "SELECT DIAGNOSES.\"SHORT_TITLE\",DIAGNOSES.\"LONG_TITLE\" FROM DIAGNOSES WHERE DIAGNOSES.\"ICD9_CODE\" = \"E912\"", "question_refine_tok": ["get", "me", "both", "the", "short", "title", "and", "long", "title", "of", "diagnoses", "for", "diagnoses", "icd9", "code", "e912", "."], "sql_tok": ["SELECT", "DIAGNOSES.\"SHORT_TITLE\",DIAGNOSES.\"LONG_TITLE\"", "FROM", "DIAGNOSES", "WHERE", "DIAGNOSES.\"ICD9_CODE\"", "=", "\"E912\""]}
{"key": "50eae010a5de0cd0a1e77eeba4951215", "format": {"table": [1], "cond": [[1, 2, 0, "317"]], "agg_col": [[1, 3], [1, 4]], "sel": 0}, "question_refine": "look up for the diagnosis short title and diagnosis long title for diagnosis icd9 code 317.", "sql": "SELECT DIAGNOSES.\"SHORT_TITLE\",DIAGNOSES.\"LONG_TITLE\" FROM DIAGNOSES WHERE DIAGNOSES.\"ICD9_CODE\" = \"317\"", "question_refine_tok": ["look", "up", "for", "the", "diagnosis", "short", "title", "and", "diagnosis", "long", "title", "for", "diagnosis", "icd9", "code", "317", "."], "sql_tok": ["SELECT", "DIAGNOSES.\"SHORT_TITLE\",DIAGNOSES.\"LONG_TITLE\"", "FROM", "DIAGNOSES", "WHERE", "DIAGNOSES.\"ICD9_CODE\"", "=", "\"317\""]}
{"key": "fff2ce09bd5d347add8aa5a93941d1c5", "format": {"table": [3], "cond": [[3, 4, 0, "Indomethacin"]], "agg_col": [[3, 6]], "sel": 0}, "question_refine": "for indomethacin, specify the route of drug administration ", "sql": "SELECT PRESCRIPTIONS.\"ROUTE\" FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.\"DRUG\" = \"Indomethacin\"", "question_refine_tok": ["for", "indomethacin", ",", "specify", "the", "route", "of", "drug", "administration"], "sql_tok": ["SELECT", "PRESCRIPTIONS.\"ROUTE\"", "FROM", "PRESCRIPTIONS", "WHERE", "PRESCRIPTIONS.\"DRUG\"", "=", "\"Indomethacin\""]}
{"key": "60d56957a6c8b6b143ff548dd236b0aa", "format": {"table": [3], "cond": [[3, 4, 0, "Enalaprilat"]], "agg_col": [[3, 3]], "sel": 0}, "question_refine": "which type of drug is enalaprilat?", "sql": "SELECT PRESCRIPTIONS.\"DRUG_TYPE\" FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.\"DRUG\" = \"Enalaprilat\"", "question_refine_tok": ["which", "type", "of", "drug", "is", "enalaprilat", "?"], "sql_tok": ["SELECT", "PRESCRIPTIONS.\"DRUG_TYPE\"", "FROM", "PRESCRIPTIONS", "WHERE", "PRESCRIPTIONS.\"DRUG\"", "=", "\"Enalaprilat\""]}
{"key": "32705c586cec77ef61f7bc812d558b73", "format": {"table": [3], "cond": [[3, 4, 0, "Nafcillin"]], "agg_col": [[3, 3]], "sel": 0}, "question_refine": "which type of drug is nafcillin?", "sql": "SELECT PRESCRIPTIONS.\"DRUG_TYPE\" FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.\"DRUG\" = \"Nafcillin\"", "question_refine_tok": ["which", "type", "of", "drug", "is", "nafcillin", "?"], "sql_tok": ["SELECT", "PRESCRIPTIONS.\"DRUG_TYPE\"", "FROM", "PRESCRIPTIONS", "WHERE", "PRESCRIPTIONS.\"DRUG\"", "=", "\"Nafcillin\""]}
{"key": "3857715327d64d45e6fd391a0a11925b", "format": {"table": [3], "cond": [[3, 4, 0, "Methylene Blue 1%"]], "agg_col": [[3, 5]], "sel": 0}, "question_refine": "find the drug code for methylene blue 1%.", "sql": "SELECT PRESCRIPTIONS.\"FORMULARY_DRUG_CD\" FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.\"DRUG\" = \"Methylene Blue 1%\"", "question_refine_tok": ["find", "the", "drug", "code", "for", "methylene", "blue", "1", "%", "."], "sql_tok": ["SELECT", "PRESCRIPTIONS.\"FORMULARY_DRUG_CD\"", "FROM", "PRESCRIPTIONS", "WHERE", "PRESCRIPTIONS.\"DRUG\"", "=", "\"Methylene", "Blue", "1%\""]}
{"key": "d966807b7739763199a7427c0e27698f", "format": {"table": [3], "cond": [[3, 4, 0, "Diazepam"]], "agg_col": [[3, 3], [3, 6]], "sel": 0}, "question_refine": "specify the route of administration and type of drug diazepam", "sql": "SELECT PRESCRIPTIONS.\"DRUG_TYPE\",PRESCRIPTIONS.\"ROUTE\" FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.\"DRUG\" = \"Diazepam\"", "question_refine_tok": ["specify", "the", "route", "of", "administration", "and", "type", "of", "drug", "diazepam"], "sql_tok": ["SELECT", "PRESCRIPTIONS.\"DRUG_TYPE\",PRESCRIPTIONS.\"ROUTE\"", "FROM", "PRESCRIPTIONS", "WHERE", "PRESCRIPTIONS.\"DRUG\"", "=", "\"Diazepam\""]}
{"key": "eea0dc17d5b370cb8df559714f74b156", "format": {"table": [3], "cond": [[3, 5, 0, "CIPR500"]], "agg_col": [[3, 3]], "sel": 0}, "question_refine": "what is the drug type of drug code cipr500?", "sql": "SELECT PRESCRIPTIONS.\"DRUG_TYPE\" FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.\"FORMULARY_DRUG_CD\" = \"CIPR500\"", "question_refine_tok": ["what", "is", "the", "drug", "type", "of", "drug", "code", "cipr500", "?"], "sql_tok": ["SELECT", "PRESCRIPTIONS.\"DRUG_TYPE\"", "FROM", "PRESCRIPTIONS", "WHERE", "PRESCRIPTIONS.\"FORMULARY_DRUG_CD\"", "=", "\"CIPR500\""]}
{"key": "b6ba115e7fbbed31ba215e13b16d0bcf", "format": {"table": [0], "cond": [[0, 7, 0, "PTUN"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "look for the number of patients who prefer ptun language.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"LANGUAGE\" = \"PTUN\"", "question_refine_tok": ["look", "for", "the", "number", "of", "patients", "who", "prefer", "ptun", "language", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"LANGUAGE\"", "=", "\"PTUN\""]}
{"key": "e06141fac03a6630c1e4be80cc2b8d6e", "format": {"table": [0], "cond": [[0, 16, 0, "AORTIC VALVE INSUFFIENCY\\AORTIC VALVE REPLACEMENT /SDA"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "find the number of patients who have aortic valve insufficiency/aortic valve replacement/sda primary disease.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"AORTIC VALVE INSUFFIENCY\\AORTIC VALVE REPLACEMENT /SDA\"", "question_refine_tok": ["find", "the", "number", "of", "patients", "who", "have", "aortic", "valve", "insufficiency", "/", "aortic", "valve", "replacement", "/", "sda", "primary", "disease", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"AORTIC", "VALVE", "INSUFFIENCY\\AORTIC", "VALVE", "REPLACEMENT", "/SDA\""]}
{"key": "b06424a69570fc355b8490e98f70b837", "format": {"table": [0], "cond": [[0, 16, 0, "CONGESTIVE HEART FAILURE"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "list the number of patients with congestive heart failure.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"CONGESTIVE HEART FAILURE\"", "question_refine_tok": ["list", "the", "number", "of", "patients", "with", "congestive", "heart", "failure", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"CONGESTIVE", "HEART", "FAILURE\""]}
{"key": "41504b36318be1e9941012af510d8623", "format": {"table": [0], "cond": [[0, 16, 0, "COLANGITIS"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients are primarily suffering from colangitis?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"COLANGITIS\"", "question_refine_tok": ["how", "many", "patients", "are", "primarily", "suffering", "from", "colangitis", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"COLANGITIS\""]}
{"key": "dbbd62908dc0f45a10fd5d5a9ffc446b", "format": {"table": [0], "cond": [[0, 4, 2, 70]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients are below 70 years of age?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"AGE\" < \"70\"", "question_refine_tok": ["how", "many", "patients", "are", "below", "70", "years", "of", "age", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"AGE\"", "<", "\"70\""]}
{"key": "429c40bd5e79acd6a0c2f08e70a07466", "format": {"table": [0], "cond": [[0, 10, 1, 3]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients have stayed in the hospital for more than 3 days?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DAYS_STAY\" > \"3\"", "question_refine_tok": ["how", "many", "patients", "have", "stayed", "in", "the", "hospital", "for", "more", "than", "3", "days", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DAYS_STAY\"", ">", "\"3\""]}
{"key": "46f2d3a95cd91f368585ee8daff0c2a6", "format": {"table": [0], "cond": [[0, 10, 1, 4]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients stayed at hospital for more than 4 days?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DAYS_STAY\" > \"4\"", "question_refine_tok": ["how", "many", "patients", "stayed", "at", "hospital", "for", "more", "than", "4", "days", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DAYS_STAY\"", ">", "\"4\""]}
{"key": "52245cac97dbc051a180574c961543b8", "format": {"table": [0], "cond": [[0, 10, 1, 6]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "find the number of patients whose hospital stay is more than 6 days.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DAYS_STAY\" > \"6\"", "question_refine_tok": ["find", "the", "number", "of", "patients", "whose", "hospital", "stay", "is", "more", "than", "6", "days", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DAYS_STAY\"", ">", "\"6\""]}
{"key": "c7f69e04609cdc57d3361bca277d2278", "format": {"table": [0], "cond": [[0, 19, 4, 2122.0]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many of the patients died in the year less than or equal to 2122?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DOD_YEAR\" <= \"2122.0\"", "question_refine_tok": ["how", "many", "of", "the", "patients", "died", "in", "the", "year", "less", "than", "or", "equal", "to", "2122", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DOD_YEAR\"", "<=", "\"2122.0\""]}
{"key": "22a5522d87a5a46c85c84d359757da3e", "format": {"table": [0, 1], "cond": [[1, 3, 0, "Chr airway obstruct NEC"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients are diagnosed with chr airway obstruct nec?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DIAGNOSES.\"SHORT_TITLE\" = \"Chr airway obstruct NEC\"", "question_refine_tok": ["how", "many", "patients", "are", "diagnosed", "with", "chr", "airway", "obstruct", "nec", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"Chr", "airway", "obstruct", "NEC\""]}
{"key": "eab0a63ce305b457cae5f0cb62539c97", "format": {"table": [0, 1], "cond": [[1, 3, 0, "Resp prob after brth NEC"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of patients who have a diagnoses of other respiratory problems after birth.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DIAGNOSES.\"SHORT_TITLE\" = \"Resp prob after brth NEC\"", "question_refine_tok": ["count", "the", "number", "of", "patients", "who", "have", "a", "diagnoses", "of", "other", "respiratory", "problems", "after", "birth", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"Resp", "prob", "after", "brth", "NEC\""]}
{"key": "b264ae6993f1119675d0d3bebb3fbe29", "format": {"table": [0, 1], "cond": [[1, 3, 0, "Mv collision NOS-driver"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "provide the number of patients diagnosed with mv collision nos-driver.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DIAGNOSES.\"SHORT_TITLE\" = \"Mv collision NOS-driver\"", "question_refine_tok": ["provide", "the", "number", "of", "patients", "diagnosed", "with", "mv", "collision", "nos", "-", "driver", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"Mv", "collision", "NOS-driver\""]}
{"key": "e9e551debb56705a4e94d6727bdb677f", "format": {"table": [0, 1], "cond": [[1, 3, 0, "Chr syst/diastl hrt fail"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of patients who are diagnosed with short title chr syst/diastl hrt fail?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DIAGNOSES.\"SHORT_TITLE\" = \"Chr syst/diastl hrt fail\"", "question_refine_tok": ["what", "is", "the", "number", "of", "patients", "who", "are", "diagnosed", "with", "short", "title", "chr", "syst", "/", "diastl", "hrt", "fail", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"Chr", "syst/diastl", "hrt", "fail\""]}
{"key": "fc222f69e706b494850a4a9e4c9ab67b", "format": {"table": [0, 1], "cond": [[1, 4, 0, "Cardiogenic shock"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "provide the number of patients  who were diagnosed with cardiogenic shock.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DIAGNOSES.\"LONG_TITLE\" = \"Cardiogenic shock\"", "question_refine_tok": ["provide", "the", "number", "of", "patients", " ", "who", "were", "diagnosed", "with", "cardiogenic", "shock", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DIAGNOSES.\"LONG_TITLE\"", "=", "\"Cardiogenic", "shock\""]}
{"key": "e5a1fc90b09d01683f5307a428fdb86f", "format": {"table": [0, 1], "cond": [[1, 4, 0, "Closed fracture of T1-T6 level with other specified spinal cord injury"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients were diagnosed with closed fracture of t1-t6 level with other specified spinal cord injury?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DIAGNOSES.\"LONG_TITLE\" = \"Closed fracture of T1-T6 level with other specified spinal cord injury\"", "question_refine_tok": ["how", "many", "patients", "were", "diagnosed", "with", "closed", "fracture", "of", "t1-t6", "level", "with", "other", "specified", "spinal", "cord", "injury", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DIAGNOSES.\"LONG_TITLE\"", "=", "\"Closed", "fracture", "of", "T1-T6", "level", "with", "other", "specified", "spinal", "cord", "injury\""]}
{"key": "5ef18e8b46298c9fea95408377ecd5a1", "format": {"table": [0, 1], "cond": [[1, 4, 0, "Hemiplegia, unspecified, affecting dominant side"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "which patients have been diagnosed with hemiplegia, unspecified, affecting dominant side?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DIAGNOSES.\"LONG_TITLE\" = \"Hemiplegia, unspecified, affecting dominant side\"", "question_refine_tok": ["which", "patients", "have", "been", "diagnosed", "with", "hemiplegia", ",", "unspecified", ",", "affecting", "dominant", "side", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DIAGNOSES.\"LONG_TITLE\"", "=", "\"Hemiplegia,", "unspecified,", "affecting", "dominant", "side\""]}
{"key": "ff4c194ec419f633f971ff4935cf3c8a", "format": {"table": [0, 2], "cond": [[2, 2, 0, 4610]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of patients whose procedure icd9 code is 4610.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE PROCEDURES.\"ICD9_CODE\" = \"4610\"", "question_refine_tok": ["count", "the", "number", "of", "patients", "whose", "procedure", "icd9", "code", "is", "4610", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "PROCEDURES.\"ICD9_CODE\"", "=", "\"4610\""]}
{"key": "3f8a067051dd991eeb5da7693a5e114a", "format": {"table": [0, 2], "cond": [[2, 2, 0, 8968]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "let me know the number fo patients who have procedure icd9 code 8968.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE PROCEDURES.\"ICD9_CODE\" = \"8968\"", "question_refine_tok": ["let", "me", "know", "the", "number", "fo", "patients", "who", "have", "procedure", "icd9", "code", "8968", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "PROCEDURES.\"ICD9_CODE\"", "=", "\"8968\""]}
{"key": "c5f2b89e8a9ffae3ec0a37c89778049a", "format": {"table": [0, 2], "cond": [[2, 2, 0, 12]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "which patients have procedure icd9 code 12?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE PROCEDURES.\"ICD9_CODE\" = \"12\"", "question_refine_tok": ["which", "patients", "have", "procedure", "icd9", "code", "12", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "PROCEDURES.\"ICD9_CODE\"", "=", "\"12\""]}
{"key": "154326341a174f053b1d1d8cfb7a38db", "format": {"table": [0, 2], "cond": [[2, 2, 0, 9229]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many of the patients had icd9 code 9229?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE PROCEDURES.\"ICD9_CODE\" = \"9229\"", "question_refine_tok": ["how", "many", "of", "the", "patients", "had", "icd9", "code", "9229", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "PROCEDURES.\"ICD9_CODE\"", "=", "\"9229\""]}
{"key": "62e62ee66eefc745181d92ee50995260", "format": {"table": [0, 2], "cond": [[2, 2, 0, 17]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients are with procedure icd9 code 17?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE PROCEDURES.\"ICD9_CODE\" = \"17\"", "question_refine_tok": ["how", "many", "patients", "are", "with", "procedure", "icd9", "code", "17", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "PROCEDURES.\"ICD9_CODE\"", "=", "\"17\""]}
{"key": "d1a14616cd8a610bc9fb4c0a1d0b9f98", "format": {"table": [0, 3], "cond": [[3, 3, 0, "BASE"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "list the number of patients who have base drug type.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE PRESCRIPTIONS.\"DRUG_TYPE\" = \"BASE\"", "question_refine_tok": ["list", "the", "number", "of", "patients", "who", "have", "base", "drug", "type", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "PRESCRIPTIONS.\"DRUG_TYPE\"", "=", "\"BASE\""]}
{"key": "9963de67fc76f27adf9a25fb6fbf958a", "format": {"table": [0, 3], "cond": [[3, 3, 0, "MAIN"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of patients whose drug type is main.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE PRESCRIPTIONS.\"DRUG_TYPE\" = \"MAIN\"", "question_refine_tok": ["count", "the", "number", "of", "patients", "whose", "drug", "type", "is", "main", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "PRESCRIPTIONS.\"DRUG_TYPE\"", "=", "\"MAIN\""]}
{"key": "540fffbeff5b21b80910141eb1cbfc21", "format": {"table": [0, 3], "cond": [[3, 4, 0, "Sodium CITRATE 4%"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of patients who were given sodium citrate 4%.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE PRESCRIPTIONS.\"DRUG\" = \"Sodium CITRATE 4%\"", "question_refine_tok": ["count", "the", "number", "of", "patients", "who", "were", "given", "sodium", "citrate", "4", "%", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "PRESCRIPTIONS.\"DRUG\"", "=", "\"Sodium", "CITRATE", "4%\""]}
{"key": "8fd7dd72c72e3270afaeea9cc0717b2d", "format": {"table": [0, 3], "cond": [[3, 4, 0, "0.9% Sodium Chloride (Mini Bag Plus)"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "provide the number of patients whose drug name is 0.9% sodium chloride (mini bag plus).", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE PRESCRIPTIONS.\"DRUG\" = \"0.9% Sodium Chloride (Mini Bag Plus)\"", "question_refine_tok": ["provide", "the", "number", "of", "patients", "whose", "drug", "name", "is", "0.9", "%", "sodium", "chloride", "(", "mini", "bag", "plus", ")", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "PRESCRIPTIONS.\"DRUG\"", "=", "\"0.9%", "Sodium", "Chloride", "(Mini", "Bag", "Plus)\""]}
{"key": "fdca4f0ee874465fd6e26412ff0735ed", "format": {"table": [0, 3], "cond": [[3, 4, 0, "Methadone"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients are taking methadone medication?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE PRESCRIPTIONS.\"DRUG\" = \"Methadone\"", "question_refine_tok": ["how", "many", "patients", "are", "taking", "methadone", "medication", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "PRESCRIPTIONS.\"DRUG\"", "=", "\"Methadone\""]}
{"key": "0be0344c4925413cc718eee2ea40ac53", "format": {"table": [0, 3], "cond": [[3, 5, 0, "METO25"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients have drug code meto25?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE PRESCRIPTIONS.\"FORMULARY_DRUG_CD\" = \"METO25\"", "question_refine_tok": ["how", "many", "patients", "have", "drug", "code", "meto25", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "PRESCRIPTIONS.\"FORMULARY_DRUG_CD\"", "=", "\"METO25\""]}
{"key": "c8b4b9525226915e453db709bc54c1e8", "format": {"table": [0, 3], "cond": [[3, 5, 0, "LEVO500PM"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "which patients have levo500pm drug code?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE PRESCRIPTIONS.\"FORMULARY_DRUG_CD\" = \"LEVO500PM\"", "question_refine_tok": ["which", "patients", "have", "levo500pm", "drug", "code", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "PRESCRIPTIONS.\"FORMULARY_DRUG_CD\"", "=", "\"LEVO500PM\""]}
{"key": "bcceb175039689ed800387cf1e8d4541", "format": {"table": [0, 3], "cond": [[3, 5, 0, "DIAZ5"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patient used the drug code diaz5?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE PRESCRIPTIONS.\"FORMULARY_DRUG_CD\" = \"DIAZ5\"", "question_refine_tok": ["how", "many", "patient", "used", "the", "drug", "code", "diaz5", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "PRESCRIPTIONS.\"FORMULARY_DRUG_CD\"", "=", "\"DIAZ5\""]}
{"key": "cf32b929f833d1fd29e662f585f6161f", "format": {"table": [0, 3], "cond": [[3, 5, 0, "LORA1"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients have been prescribed the drug code lora1?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE PRESCRIPTIONS.\"FORMULARY_DRUG_CD\" = \"LORA1\"", "question_refine_tok": ["how", "many", "patients", "have", "been", "prescribed", "the", "drug", "code", "lora1", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "PRESCRIPTIONS.\"FORMULARY_DRUG_CD\"", "=", "\"LORA1\""]}
{"key": "d233885a20766e75207a9052d9e40eb0", "format": {"table": [0, 3], "cond": [[3, 5, 0, "GENT60PM"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients have the drug code gent60pm?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE PRESCRIPTIONS.\"FORMULARY_DRUG_CD\" = \"GENT60PM\"", "question_refine_tok": ["how", "many", "patients", "have", "the", "drug", "code", "gent60pm", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "PRESCRIPTIONS.\"FORMULARY_DRUG_CD\"", "=", "\"GENT60PM\""]}
{"key": "c90f3f1f4e74fe947cbff091844f7f26", "format": {"table": [0, 3], "cond": [[3, 5, 0, "CALCG2/100NS"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "get the number of patients with calcg2/100ns drug code.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE PRESCRIPTIONS.\"FORMULARY_DRUG_CD\" = \"CALCG2/100NS\"", "question_refine_tok": ["get", "the", "number", "of", "patients", "with", "calcg2/100ns", "drug", "code", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "PRESCRIPTIONS.\"FORMULARY_DRUG_CD\"", "=", "\"CALCG2/100NS\""]}
{"key": "46eeafa97b453cd63d43b047ff4234ac", "format": {"table": [0, 3], "cond": [[3, 5, 0, "PHOS250"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients uses the drug code phos250?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE PRESCRIPTIONS.\"FORMULARY_DRUG_CD\" = \"PHOS250\"", "question_refine_tok": ["how", "many", "patients", "uses", "the", "drug", "code", "phos250", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "PRESCRIPTIONS.\"FORMULARY_DRUG_CD\"", "=", "\"PHOS250\""]}
{"key": "fe55ffb6e78d1bb7c0254041e3a94003", "format": {"table": [0, 3], "cond": [[3, 5, 0, "CALC25"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what number of patients had the drug code calc25?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE PRESCRIPTIONS.\"FORMULARY_DRUG_CD\" = \"CALC25\"", "question_refine_tok": ["what", "number", "of", "patients", "had", "the", "drug", "code", "calc25", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "PRESCRIPTIONS.\"FORMULARY_DRUG_CD\"", "=", "\"CALC25\""]}
{"key": "8513c9922c6755d69808e26dd5691af9", "format": {"table": [0, 3], "cond": [[3, 6, 0, "IVPCA"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients have ivpca route of drug administration?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE PRESCRIPTIONS.\"ROUTE\" = \"IVPCA\"", "question_refine_tok": ["how", "many", "patients", "have", "ivpca", "route", "of", "drug", "administration", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "PRESCRIPTIONS.\"ROUTE\"", "=", "\"IVPCA\""]}
{"key": "f94ad5d9bdae2dcb09df043bb56c35de", "format": {"table": [0, 3], "cond": [[3, 6, 0, "IV"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "give the number of patients whose drug route is iv.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE PRESCRIPTIONS.\"ROUTE\" = \"IV\"", "question_refine_tok": ["give", "the", "number", "of", "patients", "whose", "drug", "route", "is", "iv", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "PRESCRIPTIONS.\"ROUTE\"", "=", "\"IV\""]}
{"key": "3e2e947d4f4f7c502c538d279654cc58", "format": {"table": [0, 4], "cond": [[4, 6, 0, "WBC"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "which patients were ordered wbc lab test?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE LAB.\"LABEL\" = \"WBC\"", "question_refine_tok": ["which", "patients", "were", "ordered", "wbc", "lab", "test", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "LAB.\"LABEL\"", "=", "\"WBC\""]}
{"key": "76248b88df027621e985aae26b60ac78", "format": {"table": [0, 4], "cond": [[4, 6, 0, "Gentamicin"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients had gentamicin lab test?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE LAB.\"LABEL\" = \"Gentamicin\"", "question_refine_tok": ["how", "many", "patients", "had", "gentamicin", "lab", "test", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "LAB.\"LABEL\"", "=", "\"Gentamicin\""]}
{"key": "a8b4438c37e8fb67d8373e558ba580ac", "format": {"table": [0], "cond": [[0, 3, 0, "DIVORCED"], [0, 6, 0, "F"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "give me the number of female patients who are divorced.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"MARITAL_STATUS\" = \"DIVORCED\" AND DEMOGRAPHIC.\"GENDER\" = \"F\"", "question_refine_tok": ["give", "me", "the", "number", "of", "female", "patients", "who", "are", "divorced", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"MARITAL_STATUS\"", "=", "\"DIVORCED\"", "AND", "DEMOGRAPHIC.\"GENDER\"", "=", "\"F\""]}
{"key": "eda983e8962ca038bf11e261fe854c97", "format": {"table": [0], "cond": [[0, 3, 0, "DIVORCED"], [0, 12, 0, "WHITE - RUSSIAN"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "give me the number of divorced patients who belong to white-russian ethnic background.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"MARITAL_STATUS\" = \"DIVORCED\" AND DEMOGRAPHIC.\"ETHNICITY\" = \"WHITE - RUSSIAN\"", "question_refine_tok": ["give", "me", "the", "number", "of", "divorced", "patients", "who", "belong", "to", "white", "-", "russian", "ethnic", "background", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"MARITAL_STATUS\"", "=", "\"DIVORCED\"", "AND", "DEMOGRAPHIC.\"ETHNICITY\"", "=", "\"WHITE", "-", "RUSSIAN\""]}
{"key": "1480ec4b5de7eae7ba0bdd3376814ad4", "format": {"table": [0], "cond": [[0, 3, 0, "DIVORCED"], [0, 12, 0, "WHITE"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of patients whose ethnicity is white and marital status is divorced.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"MARITAL_STATUS\" = \"DIVORCED\" AND DEMOGRAPHIC.\"ETHNICITY\" = \"WHITE\"", "question_refine_tok": ["count", "the", "number", "of", "patients", "whose", "ethnicity", "is", "white", "and", "marital", "status", "is", "divorced", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"MARITAL_STATUS\"", "=", "\"DIVORCED\"", "AND", "DEMOGRAPHIC.\"ETHNICITY\"", "=", "\"WHITE\""]}
{"key": "d1536cd6070bf9bb0e55b9c718d5302f", "format": {"table": [0], "cond": [[0, 3, 0, "MARRIED"], [0, 12, 0, "AMERICAN INDIAN/ALASKA NATIVE"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients were married and whose ethnicity is american indian/alaska native?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"MARITAL_STATUS\" = \"MARRIED\" AND DEMOGRAPHIC.\"ETHNICITY\" = \"AMERICAN INDIAN/ALASKA NATIVE\"", "question_refine_tok": ["how", "many", "patients", "were", "married", "and", "whose", "ethnicity", "is", "american", "indian", "/", "alaska", "native", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"MARITAL_STATUS\"", "=", "\"MARRIED\"", "AND", "DEMOGRAPHIC.\"ETHNICITY\"", "=", "\"AMERICAN", "INDIAN/ALASKA", "NATIVE\""]}
{"key": "f2da170a4356abd35fad286ffa6734e8", "format": {"table": [0], "cond": [[0, 3, 0, "SINGLE"], [0, 22, 2, 2178]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "give the list of patients admitted before 2178 with single marital status.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"MARITAL_STATUS\" = \"SINGLE\" AND DEMOGRAPHIC.\"ADMITYEAR\" < \"2178\"", "question_refine_tok": ["give", "the", "list", "of", "patients", "admitted", "before", "2178", "with", "single", "marital", "status", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"MARITAL_STATUS\"", "=", "\"SINGLE\"", "AND", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2178\""]}
{"key": "9875b31db21ec231d6a86d347d3d2453", "format": {"table": [0], "cond": [[0, 3, 0, "SINGLE"], [0, 22, 2, 2180]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "calculate the number of unmarried patients admitted in the year less than 2180", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"MARITAL_STATUS\" = \"SINGLE\" AND DEMOGRAPHIC.\"ADMITYEAR\" < \"2180\"", "question_refine_tok": ["calculate", "the", "number", "of", "unmarried", "patients", "admitted", "in", "the", "year", "less", "than", "2180"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"MARITAL_STATUS\"", "=", "\"SINGLE\"", "AND", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2180\""]}
{"key": "435cffe74d10c0150b5992ff15e8ed36", "format": {"table": [0], "cond": [[0, 3, 0, "MARRIED"], [0, 22, 2, 2103]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "get the number of married patients who were admitted before 2103.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"MARITAL_STATUS\" = \"MARRIED\" AND DEMOGRAPHIC.\"ADMITYEAR\" < \"2103\"", "question_refine_tok": ["get", "the", "number", "of", "married", "patients", "who", "were", "admitted", "before", "2103", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"MARITAL_STATUS\"", "=", "\"MARRIED\"", "AND", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2103\""]}
{"key": "be9bbb661d96db2a94c6ba2c21d16c45", "format": {"table": [0, 1], "cond": [[0, 3, 0, "MARRIED"], [1, 2, 0, "25541"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "tell me the number of married patients who have diagnoses icd9 code 25541.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"MARITAL_STATUS\" = \"MARRIED\" AND DIAGNOSES.\"ICD9_CODE\" = \"25541\"", "question_refine_tok": ["tell", "me", "the", "number", "of", "married", "patients", "who", "have", "diagnoses", "icd9", "code", "25541", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"MARITAL_STATUS\"", "=", "\"MARRIED\"", "AND", "DIAGNOSES.\"ICD9_CODE\"", "=", "\"25541\""]}
{"key": "4db6fe3c70ac4f98054a0f6a027c5673", "format": {"table": [0, 1], "cond": [[0, 3, 0, "SINGLE"], [1, 2, 0, "4254"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many unmarried patients have diagnoses icd9 code 4254?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"MARITAL_STATUS\" = \"SINGLE\" AND DIAGNOSES.\"ICD9_CODE\" = \"4254\"", "question_refine_tok": ["how", "many", "unmarried", "patients", "have", "diagnoses", "icd9", "code", "4254", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"MARITAL_STATUS\"", "=", "\"SINGLE\"", "AND", "DIAGNOSES.\"ICD9_CODE\"", "=", "\"4254\""]}
{"key": "6871f1256851b72b6bb4ddc3c3e10510", "format": {"table": [0, 1], "cond": [[0, 3, 0, "WIDOWED"], [1, 3, 0, "Vascular hamartomas"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many widow patients have vascular hamartomas diagnoses?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"MARITAL_STATUS\" = \"WIDOWED\" AND DIAGNOSES.\"SHORT_TITLE\" = \"Vascular hamartomas\"", "question_refine_tok": ["how", "many", "widow", "patients", "have", "vascular", "hamartomas", "diagnoses", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"MARITAL_STATUS\"", "=", "\"WIDOWED\"", "AND", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"Vascular", "hamartomas\""]}
{"key": "503875c64be0dd08d9f588deb06eaae8", "format": {"table": [0, 1], "cond": [[0, 3, 0, "MARRIED"], [1, 3, 0, "DMII renl nt st uncntrld"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of married patients diagnosed with dmii renl nt st unctrld.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"MARITAL_STATUS\" = \"MARRIED\" AND DIAGNOSES.\"SHORT_TITLE\" = \"DMII renl nt st uncntrld\"", "question_refine_tok": ["count", "the", "number", "of", "married", "patients", "diagnosed", "with", "dmii", "renl", "nt", "st", "unctrld", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"MARITAL_STATUS\"", "=", "\"MARRIED\"", "AND", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"DMII", "renl", "nt", "st", "uncntrld\""]}
{"key": "8a2549d7f3c0aef822c1a1ea65246cdd", "format": {"table": [0, 1], "cond": [[0, 3, 0, "SINGLE"], [1, 3, 0, "Personality disorder NOS"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients diagnosed with personality disorder nos are unmarried?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"MARITAL_STATUS\" = \"SINGLE\" AND DIAGNOSES.\"SHORT_TITLE\" = \"Personality disorder NOS\"", "question_refine_tok": ["how", "many", "patients", "diagnosed", "with", "personality", "disorder", "nos", "are", "unmarried", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"MARITAL_STATUS\"", "=", "\"SINGLE\"", "AND", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"Personality", "disorder", "NOS\""]}
{"key": "3da60fe67dcc27bd4c07dd4c819f9661", "format": {"table": [0, 1], "cond": [[0, 3, 0, "MARRIED"], [1, 4, 0, "Depressive disorder, not elsewhere classified"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients are married and diagnosed with depressive disorder, not elsewhere classified?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"MARITAL_STATUS\" = \"MARRIED\" AND DIAGNOSES.\"LONG_TITLE\" = \"Depressive disorder, not elsewhere classified\"", "question_refine_tok": ["how", "many", "patients", "are", "married", "and", "diagnosed", "with", "depressive", "disorder", ",", "not", "elsewhere", "classified", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"MARITAL_STATUS\"", "=", "\"MARRIED\"", "AND", "DIAGNOSES.\"LONG_TITLE\"", "=", "\"Depressive", "disorder,", "not", "elsewhere", "classified\""]}
{"key": "c6a50dd21d69570315d1af044aece5aa", "format": {"table": [0, 1], "cond": [[0, 3, 0, "WIDOWED"], [1, 4, 0, "Benign neoplasm of spinal meninges"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many widowed patients had the diagnosis long title benign neoplasm of spinal meninges?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"MARITAL_STATUS\" = \"WIDOWED\" AND DIAGNOSES.\"LONG_TITLE\" = \"Benign neoplasm of spinal meninges\"", "question_refine_tok": ["how", "many", "widowed", "patients", "had", "the", "diagnosis", "long", "title", "benign", "neoplasm", "of", "spinal", "meninges", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"MARITAL_STATUS\"", "=", "\"WIDOWED\"", "AND", "DIAGNOSES.\"LONG_TITLE\"", "=", "\"Benign", "neoplasm", "of", "spinal", "meninges\""]}
{"key": "cc792a19f50dde32d1f2635671a99142", "format": {"table": [0, 1], "cond": [[0, 3, 0, "SINGLE"], [1, 4, 0, "Other chronic pulmonary heart diseases"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "give me the number of unmarried patients who have been diagnosed with other chronic pulmonary heart disease.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"MARITAL_STATUS\" = \"SINGLE\" AND DIAGNOSES.\"LONG_TITLE\" = \"Other chronic pulmonary heart diseases\"", "question_refine_tok": ["give", "me", "the", "number", "of", "unmarried", "patients", "who", "have", "been", "diagnosed", "with", "other", "chronic", "pulmonary", "heart", "disease", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"MARITAL_STATUS\"", "=", "\"SINGLE\"", "AND", "DIAGNOSES.\"LONG_TITLE\"", "=", "\"Other", "chronic", "pulmonary", "heart", "diseases\""]}
{"key": "243795ba8fc3444e3faa2976f9062af4", "format": {"table": [0, 1], "cond": [[0, 3, 0, "SINGLE"], [1, 4, 0, "Late effects of cerebrovascular disease, hemiplegia affecting unspecified side"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "calculate the number of unmarried patients who had late effects of cerebrovascular disease, hemiplegia affecting unspecified side", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"MARITAL_STATUS\" = \"SINGLE\" AND DIAGNOSES.\"LONG_TITLE\" = \"Late effects of cerebrovascular disease, hemiplegia affecting unspecified side\"", "question_refine_tok": ["calculate", "the", "number", "of", "unmarried", "patients", "who", "had", "late", "effects", "of", "cerebrovascular", "disease", ",", "hemiplegia", "affecting", "unspecified", "side"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"MARITAL_STATUS\"", "=", "\"SINGLE\"", "AND", "DIAGNOSES.\"LONG_TITLE\"", "=", "\"Late", "effects", "of", "cerebrovascular", "disease,", "hemiplegia", "affecting", "unspecified", "side\""]}
{"key": "fdbc41308183acc7f9b2efee20a3c131", "format": {"table": [0, 2], "cond": [[0, 3, 0, "SINGLE"], [2, 2, 0, 8960]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "find the number of unmarried patients who have procedure icd9 code 8960.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"MARITAL_STATUS\" = \"SINGLE\" AND PROCEDURES.\"ICD9_CODE\" = \"8960\"", "question_refine_tok": ["find", "the", "number", "of", "unmarried", "patients", "who", "have", "procedure", "icd9", "code", "8960", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"MARITAL_STATUS\"", "=", "\"SINGLE\"", "AND", "PROCEDURES.\"ICD9_CODE\"", "=", "\"8960\""]}
{"key": "399d78d5e1a661362d846f3a7018bebc", "format": {"table": [0, 2], "cond": [[0, 3, 0, "SINGLE"], [2, 3, 0, "Abdominal wall incision"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many single patients underwent the procedure named abdominal wall incision?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"MARITAL_STATUS\" = \"SINGLE\" AND PROCEDURES.\"SHORT_TITLE\" = \"Abdominal wall incision\"", "question_refine_tok": ["how", "many", "single", "patients", "underwent", "the", "procedure", "named", "abdominal", "wall", "incision", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"MARITAL_STATUS\"", "=", "\"SINGLE\"", "AND", "PROCEDURES.\"SHORT_TITLE\"", "=", "\"Abdominal", "wall", "incision\""]}
{"key": "1d61a62087b0c19fb54992b1e1e28367", "format": {"table": [0, 2], "cond": [[0, 3, 0, "WIDOWED"], [2, 4, 0, "Percutaneous (endoscopic) jejunostomy [PEJ]"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what number of widowed patients had the procedure named percutaneous (endoscopic) jejunostomy [pej]?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"MARITAL_STATUS\" = \"WIDOWED\" AND PROCEDURES.\"LONG_TITLE\" = \"Percutaneous (endoscopic) jejunostomy [PEJ]\"", "question_refine_tok": ["what", "number", "of", "widowed", "patients", "had", "the", "procedure", "named", "percutaneous", "(", "endoscopic", ")", "jejunostomy", "[", "pej", "]", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"MARITAL_STATUS\"", "=", "\"WIDOWED\"", "AND", "PROCEDURES.\"LONG_TITLE\"", "=", "\"Percutaneous", "(endoscopic)", "jejunostomy", "[PEJ]\""]}
{"key": "f4c5add760ad2859b3ea91ffe6b16be5", "format": {"table": [0, 2], "cond": [[0, 3, 0, "SINGLE"], [2, 4, 0, "Open and other replacement of aortic valve with tissue graft"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "among patients who had open and other replacement of aortic valve with tissue graft, how many of them were unmarried?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"MARITAL_STATUS\" = \"SINGLE\" AND PROCEDURES.\"LONG_TITLE\" = \"Open and other replacement of aortic valve with tissue graft\"", "question_refine_tok": ["among", "patients", "who", "had", "open", "and", "other", "replacement", "of", "aortic", "valve", "with", "tissue", "graft", ",", "how", "many", "of", "them", "were", "unmarried", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"MARITAL_STATUS\"", "=", "\"SINGLE\"", "AND", "PROCEDURES.\"LONG_TITLE\"", "=", "\"Open", "and", "other", "replacement", "of", "aortic", "valve", "with", "tissue", "graft\""]}
{"key": "34657fa3aae189689668f538b38d1ee9", "format": {"table": [0, 2], "cond": [[0, 3, 0, "MARRIED"], [2, 4, 0, "Percutaneous [endoscopic] gastrostomy [PEG]"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many married patients have had percutaneous [endoscopic] gastrostomy [peg] procedure?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"MARITAL_STATUS\" = \"MARRIED\" AND PROCEDURES.\"LONG_TITLE\" = \"Percutaneous [endoscopic] gastrostomy [PEG]\"", "question_refine_tok": ["how", "many", "married", "patients", "have", "had", "percutaneous", "[", "endoscopic", "]", "gastrostomy", "[", "peg", "]", "procedure", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"MARITAL_STATUS\"", "=", "\"MARRIED\"", "AND", "PROCEDURES.\"LONG_TITLE\"", "=", "\"Percutaneous", "[endoscopic]", "gastrostomy", "[PEG]\""]}
{"key": "467bc9195ded1b007acb96c617f186a9", "format": {"table": [0, 2], "cond": [[0, 3, 0, "MARRIED"], [2, 4, 0, "Non-invasive mechanical ventilation"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "show me the number of married patients who were on non-invasive mechanical ventilation.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"MARITAL_STATUS\" = \"MARRIED\" AND PROCEDURES.\"LONG_TITLE\" = \"Non-invasive mechanical ventilation\"", "question_refine_tok": ["show", "me", "the", "number", "of", "married", "patients", "who", "were", "on", "non", "-", "invasive", "mechanical", "ventilation", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"MARITAL_STATUS\"", "=", "\"MARRIED\"", "AND", "PROCEDURES.\"LONG_TITLE\"", "=", "\"Non-invasive", "mechanical", "ventilation\""]}
{"key": "62c69a5bc2601536a518a3b4b78aa03b", "format": {"table": [0, 3], "cond": [[0, 3, 0, "WIDOWED"], [3, 6, 0, "NG"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "tell me the number of widow patients who have ng route of drug administration.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"MARITAL_STATUS\" = \"WIDOWED\" AND PRESCRIPTIONS.\"ROUTE\" = \"NG\"", "question_refine_tok": ["tell", "me", "the", "number", "of", "widow", "patients", "who", "have", "ng", "route", "of", "drug", "administration", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"MARITAL_STATUS\"", "=", "\"WIDOWED\"", "AND", "PRESCRIPTIONS.\"ROUTE\"", "=", "\"NG\""]}
{"key": "fd2bc1fbefdb30667f6ace551cb28cda", "format": {"table": [0, 3], "cond": [[0, 3, 0, "SINGLE"], [3, 6, 0, "DIALYS"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many unmarried patients have dialys route of drug administration?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"MARITAL_STATUS\" = \"SINGLE\" AND PRESCRIPTIONS.\"ROUTE\" = \"DIALYS\"", "question_refine_tok": ["how", "many", "unmarried", "patients", "have", "dialys", "route", "of", "drug", "administration", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"MARITAL_STATUS\"", "=", "\"SINGLE\"", "AND", "PRESCRIPTIONS.\"ROUTE\"", "=", "\"DIALYS\""]}
{"key": "464091bc88a44c8bed7aabd5df1e3659", "format": {"table": [0, 3], "cond": [[0, 3, 0, "DIVORCED"], [3, 6, 0, "IV DRIP"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what number of  patients are divorced and their drug route is iv drip?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"MARITAL_STATUS\" = \"DIVORCED\" AND PRESCRIPTIONS.\"ROUTE\" = \"IV DRIP\"", "question_refine_tok": ["what", "number", "of", " ", "patients", "are", "divorced", "and", "their", "drug", "route", "is", "iv", "drip", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"MARITAL_STATUS\"", "=", "\"DIVORCED\"", "AND", "PRESCRIPTIONS.\"ROUTE\"", "=", "\"IV", "DRIP\""]}
{"key": "0de2484e6ec92d514464e9be2fb25cfb", "format": {"table": [0, 4], "cond": [[0, 3, 0, "MARRIED"], [4, 2, 0, 51382]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of married patients with lab test item id 51382?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"MARITAL_STATUS\" = \"MARRIED\" AND LAB.\"ITEMID\" = \"51382\"", "question_refine_tok": ["what", "is", "the", "number", "of", "married", "patients", "with", "lab", "test", "item", "i", "d", "51382", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"MARITAL_STATUS\"", "=", "\"MARRIED\"", "AND", "LAB.\"ITEMID\"", "=", "\"51382\""]}
{"key": "2413815f4cc87c5770e141030b757fac", "format": {"table": [0, 4], "cond": [[0, 3, 0, "MARRIED"], [4, 2, 0, 51446]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of patients who are married and their lab test item id is 51446.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"MARITAL_STATUS\" = \"MARRIED\" AND LAB.\"ITEMID\" = \"51446\"", "question_refine_tok": ["count", "the", "number", "of", "patients", "who", "are", "married", "and", "their", "lab", "test", "item", "i", "d", "is", "51446", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"MARITAL_STATUS\"", "=", "\"MARRIED\"", "AND", "LAB.\"ITEMID\"", "=", "\"51446\""]}
{"key": "1796f213414dfa22ae2aa0b469cc684e", "format": {"table": [0, 4], "cond": [[0, 3, 0, "DIVORCED"], [4, 2, 0, 51181]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "out of total number of patients with item id 51181, calculate the number of those who were divorced.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"MARITAL_STATUS\" = \"DIVORCED\" AND LAB.\"ITEMID\" = \"51181\"", "question_refine_tok": ["out", "of", "total", "number", "of", "patients", "with", "item", "i", "d", "51181", ",", "calculate", "the", "number", "of", "those", "who", "were", "divorced", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"MARITAL_STATUS\"", "=", "\"DIVORCED\"", "AND", "LAB.\"ITEMID\"", "=", "\"51181\""]}
{"key": "24aadee9ea47d06c797aa9506af6ff74", "format": {"table": [0, 4], "cond": [[0, 3, 0, "WIDOWED"], [4, 6, 0, "Hematocrit"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "tell me the number of widow patients who had hematocrit lab test.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"MARITAL_STATUS\" = \"WIDOWED\" AND LAB.\"LABEL\" = \"Hematocrit\"", "question_refine_tok": ["tell", "me", "the", "number", "of", "widow", "patients", "who", "had", "hematocrit", "lab", "test", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"MARITAL_STATUS\"", "=", "\"WIDOWED\"", "AND", "LAB.\"LABEL\"", "=", "\"Hematocrit\""]}
{"key": "ea30665bc85db7ba36dbf1023783c809", "format": {"table": [0, 4], "cond": [[0, 3, 0, "SINGLE"], [4, 6, 0, "Transferrin"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "give me the number of unmarried patients who were ordered transferrin lab test.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"MARITAL_STATUS\" = \"SINGLE\" AND LAB.\"LABEL\" = \"Transferrin\"", "question_refine_tok": ["give", "me", "the", "number", "of", "unmarried", "patients", "who", "were", "ordered", "transferrin", "lab", "test", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"MARITAL_STATUS\"", "=", "\"SINGLE\"", "AND", "LAB.\"LABEL\"", "=", "\"Transferrin\""]}
{"key": "5361c503c55b47ad826136a474237f44", "format": {"table": [0, 4], "cond": [[0, 3, 0, "WIDOWED"], [4, 7, 0, "Cerebrospinal Fluid (CSF)"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "among those who had a labt test for cerebrospinal fluid (csf), calculate the total number of widowed patients ", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"MARITAL_STATUS\" = \"WIDOWED\" AND LAB.\"FLUID\" = \"Cerebrospinal Fluid (CSF)\"", "question_refine_tok": ["among", "those", "who", "had", "a", "labt", "test", "for", "cerebrospinal", "fluid", "(", "csf", ")", ",", "calculate", "the", "total", "number", "of", "widowed", "patients"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"MARITAL_STATUS\"", "=", "\"WIDOWED\"", "AND", "LAB.\"FLUID\"", "=", "\"Cerebrospinal", "Fluid", "(CSF)\""]}
{"key": "9305cbd8c6e485176b237372cb81f485", "format": {"table": [0, 4], "cond": [[0, 3, 0, "WIDOWED"], [4, 7, 0, "Ascites"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patient are with widowed marital status and lab test fluid ascites?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"MARITAL_STATUS\" = \"WIDOWED\" AND LAB.\"FLUID\" = \"Ascites\"", "question_refine_tok": ["how", "many", "patient", "are", "with", "widowed", "marital", "status", "and", "lab", "test", "fluid", "ascites", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"MARITAL_STATUS\"", "=", "\"WIDOWED\"", "AND", "LAB.\"FLUID\"", "=", "\"Ascites\""]}
{"key": "3acf5f50f64889ee23976662e1b13abd", "format": {"table": [0, 4], "cond": [[0, 3, 0, "SINGLE"], [4, 8, 0, "Chemistry"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "specify the number of unmarried patients who had lab test for clinical chemistry", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"MARITAL_STATUS\" = \"SINGLE\" AND LAB.\"CATEGORY\" = \"Chemistry\"", "question_refine_tok": ["specify", "the", "number", "of", "unmarried", "patients", "who", "had", "lab", "test", "for", "clinical", "chemistry"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"MARITAL_STATUS\"", "=", "\"SINGLE\"", "AND", "LAB.\"CATEGORY\"", "=", "\"Chemistry\""]}
{"key": "35ea620081b6db1e7caac1fb1fea760e", "format": {"table": [0], "cond": [[0, 6, 0, "F"], [0, 11, 0, "Medicaid"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "tell me the number of female patients with medicaid.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"GENDER\" = \"F\" AND DEMOGRAPHIC.\"INSURANCE\" = \"Medicaid\"", "question_refine_tok": ["tell", "me", "the", "number", "of", "female", "patients", "with", "medicaid", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"GENDER\"", "=", "\"F\"", "AND", "DEMOGRAPHIC.\"INSURANCE\"", "=", "\"Medicaid\""]}
{"key": "2f090b25d4b7a64091e5ceee7950d954", "format": {"table": [0], "cond": [[0, 6, 0, "F"], [0, 11, 0, "Medicare"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "give me the number of female patients with medicare health insurance.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"GENDER\" = \"F\" AND DEMOGRAPHIC.\"INSURANCE\" = \"Medicare\"", "question_refine_tok": ["give", "me", "the", "number", "of", "female", "patients", "with", "medicare", "health", "insurance", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"GENDER\"", "=", "\"F\"", "AND", "DEMOGRAPHIC.\"INSURANCE\"", "=", "\"Medicare\""]}
{"key": "f12d52ce7b64a66f629acddb45e4dff4", "format": {"table": [0], "cond": [[0, 6, 0, "M"], [0, 12, 0, "BLACK/CAPE VERDEAN"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the male patients with black/cape verdean ethnic background.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"GENDER\" = \"M\" AND DEMOGRAPHIC.\"ETHNICITY\" = \"BLACK/CAPE VERDEAN\"", "question_refine_tok": ["count", "the", "male", "patients", "with", "black", "/", "cape", "verdean", "ethnic", "background", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"GENDER\"", "=", "\"M\"", "AND", "DEMOGRAPHIC.\"ETHNICITY\"", "=", "\"BLACK/CAPE", "VERDEAN\""]}
{"key": "c1bd118d614f31485d837e1b641d53e7", "format": {"table": [0], "cond": [[0, 6, 0, "M"], [0, 12, 0, "AMERICAN INDIAN/ALASKA NATIVE"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many male patients are with american indian/alaska native ethnicity?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"GENDER\" = \"M\" AND DEMOGRAPHIC.\"ETHNICITY\" = \"AMERICAN INDIAN/ALASKA NATIVE\"", "question_refine_tok": ["how", "many", "male", "patients", "are", "with", "american", "indian", "/", "alaska", "native", "ethnicity", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"GENDER\"", "=", "\"M\"", "AND", "DEMOGRAPHIC.\"ETHNICITY\"", "=", "\"AMERICAN", "INDIAN/ALASKA", "NATIVE\""]}
{"key": "39e8275941fc8e1c791736e31bb70803", "format": {"table": [0], "cond": [[0, 6, 0, "M"], [0, 15, 0, "DEAD/EXPIRED"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "calculate the total number of male patients who were dead/expired on discharge", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"GENDER\" = \"M\" AND DEMOGRAPHIC.\"DISCHARGE_LOCATION\" = \"DEAD/EXPIRED\"", "question_refine_tok": ["calculate", "the", "total", "number", "of", "male", "patients", "who", "were", "dead", "/", "expired", "on", "discharge"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"GENDER\"", "=", "\"M\"", "AND", "DEMOGRAPHIC.\"DISCHARGE_LOCATION\"", "=", "\"DEAD/EXPIRED\""]}
{"key": "2378036cd5925293a6a4803aaa57c58e", "format": {"table": [0], "cond": [[0, 6, 0, "F"], [0, 16, 0, "SDH"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many of the female patients had sdh as the primary disease?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"GENDER\" = \"F\" AND DEMOGRAPHIC.\"DIAGNOSIS\" = \"SDH\"", "question_refine_tok": ["how", "many", "of", "the", "female", "patients", "had", "sdh", "as", "the", "primary", "disease", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"GENDER\"", "=", "\"F\"", "AND", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"SDH\""]}
{"key": "7e4bc442c7d9e30956d5cf8363326ec9", "format": {"table": [0], "cond": [[0, 6, 0, "F"], [0, 16, 0, "LEFT FEMUR FRACTURE"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many female patients had the primary disease left femur fracture?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"GENDER\" = \"F\" AND DEMOGRAPHIC.\"DIAGNOSIS\" = \"LEFT FEMUR FRACTURE\"", "question_refine_tok": ["how", "many", "female", "patients", "had", "the", "primary", "disease", "left", "femur", "fracture", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"GENDER\"", "=", "\"F\"", "AND", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"LEFT", "FEMUR", "FRACTURE\""]}
{"key": "435b1d5dd999fbae1c4749744aa9041c", "format": {"table": [0], "cond": [[0, 6, 0, "F"], [0, 16, 0, "LIVER TRANSPLANT"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "give the number of female patients who had liver transplant.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"GENDER\" = \"F\" AND DEMOGRAPHIC.\"DIAGNOSIS\" = \"LIVER TRANSPLANT\"", "question_refine_tok": ["give", "the", "number", "of", "female", "patients", "who", "had", "liver", "transplant", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"GENDER\"", "=", "\"F\"", "AND", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"LIVER", "TRANSPLANT\""]}
{"key": "68ad95dfccd915bcb1bb7320a99b562b", "format": {"table": [0], "cond": [[0, 6, 0, "F"], [0, 16, 0, "OVERDOSE"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "show the number of female patients whose primary disease was overdose.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"GENDER\" = \"F\" AND DEMOGRAPHIC.\"DIAGNOSIS\" = \"OVERDOSE\"", "question_refine_tok": ["show", "the", "number", "of", "female", "patients", "whose", "primary", "disease", "was", "overdose", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"GENDER\"", "=", "\"F\"", "AND", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"OVERDOSE\""]}
{"key": "b5cb984fea1889da4fc7c2308a721da1", "format": {"table": [0], "cond": [[0, 6, 0, "F"], [0, 16, 0, "ST-SEGMENT ELEVATION MYOCARDIAL INFARCTION\\CARDIAC CATH"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "find the number of female patients who have st-segment elevation myocardial infarction/cardiac catheterization primary disease.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"GENDER\" = \"F\" AND DEMOGRAPHIC.\"DIAGNOSIS\" = \"ST-SEGMENT ELEVATION MYOCARDIAL INFARCTION\\CARDIAC CATH\"", "question_refine_tok": ["find", "the", "number", "of", "female", "patients", "who", "have", "st", "-", "segment", "elevation", "myocardial", "infarction", "/", "cardiac", "catheterization", "primary", "disease", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"GENDER\"", "=", "\"F\"", "AND", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"ST-SEGMENT", "ELEVATION", "MYOCARDIAL", "INFARCTION\\CARDIAC", "CATH\""]}
{"key": "1a524470769e8f41974429bf10b1a17b", "format": {"table": [0], "cond": [[0, 6, 0, "F"], [0, 4, 2, 67]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many female patients are under 67 years of age?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"GENDER\" = \"F\" AND DEMOGRAPHIC.\"AGE\" < \"67\"", "question_refine_tok": ["how", "many", "female", "patients", "are", "under", "67", "years", "of", "age", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"GENDER\"", "=", "\"F\"", "AND", "DEMOGRAPHIC.\"AGE\"", "<", "\"67\""]}
{"key": "94ff317a11ba1aa781abe9227e79e9cf", "format": {"table": [0], "cond": [[0, 6, 0, "F"], [0, 4, 2, 41]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "let me know the number of female patients who are less than 41 years of age.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"GENDER\" = \"F\" AND DEMOGRAPHIC.\"AGE\" < \"41\"", "question_refine_tok": ["let", "me", "know", "the", "number", "of", "female", "patients", "who", "are", "less", "than", "41", "years", "of", "age", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"GENDER\"", "=", "\"F\"", "AND", "DEMOGRAPHIC.\"AGE\"", "<", "\"41\""]}
{"key": "3bc09fbb94b91e344118fe868936ad25", "format": {"table": [0], "cond": [[0, 6, 0, "M"], [0, 4, 2, 74]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many of the male patients are aged below 74?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"GENDER\" = \"M\" AND DEMOGRAPHIC.\"AGE\" < \"74\"", "question_refine_tok": ["how", "many", "of", "the", "male", "patients", "are", "aged", "below", "74", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"GENDER\"", "=", "\"M\"", "AND", "DEMOGRAPHIC.\"AGE\"", "<", "\"74\""]}
{"key": "94627887d157cba0afc3c9cd22cfd2d9", "format": {"table": [0], "cond": [[0, 6, 0, "F"], [0, 10, 1, 9]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "provide the number of female patients whose hospital stay is more than 9 days.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"GENDER\" = \"F\" AND DEMOGRAPHIC.\"DAYS_STAY\" > \"9\"", "question_refine_tok": ["provide", "the", "number", "of", "female", "patients", "whose", "hospital", "stay", "is", "more", "than", "9", "days", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"GENDER\"", "=", "\"F\"", "AND", "DEMOGRAPHIC.\"DAYS_STAY\"", ">", "\"9\""]}
{"key": "94c7f4f6db335133207cfe8cff89f313", "format": {"table": [0, 1], "cond": [[0, 6, 0, "F"], [1, 3, 0, "Depress psychosis-unspec"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many female patients are diagnosed with short title  depress psychosis-unspec?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"GENDER\" = \"F\" AND DIAGNOSES.\"SHORT_TITLE\" = \"Depress psychosis-unspec\"", "question_refine_tok": ["how", "many", "female", "patients", "are", "diagnosed", "with", "short", "title", " ", "depress", "psychosis", "-", "unspec", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"GENDER\"", "=", "\"F\"", "AND", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"Depress", "psychosis-unspec\""]}
{"key": "3e635d17f64a17b71ec575da212a52a2", "format": {"table": [0, 1], "cond": [[0, 6, 0, "F"], [1, 3, 0, "Ulcer of heel & midfoot"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many number of female patients are diagnosed with ulcer of heel & mid foot?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"GENDER\" = \"F\" AND DIAGNOSES.\"SHORT_TITLE\" = \"Ulcer of heel & midfoot\"", "question_refine_tok": ["how", "many", "number", "of", "female", "patients", "are", "diagnosed", "with", "ulcer", "of", "heel", "&", "mid", "foot", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"GENDER\"", "=", "\"F\"", "AND", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"Ulcer", "of", "heel", "&", "midfoot\""]}
{"key": "98b544264430cb1d13189b8907a4c66a", "format": {"table": [0, 1], "cond": [[0, 6, 0, "F"], [1, 3, 0, "Follicular cyst of ovary"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of female patients who have been diagnosed with follicular cyst of ovary?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"GENDER\" = \"F\" AND DIAGNOSES.\"SHORT_TITLE\" = \"Follicular cyst of ovary\"", "question_refine_tok": ["what", "is", "the", "number", "of", "female", "patients", "who", "have", "been", "diagnosed", "with", "follicular", "cyst", "of", "ovary", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"GENDER\"", "=", "\"F\"", "AND", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"Follicular", "cyst", "of", "ovary\""]}
{"key": "32a932c5a2c1e04648783ead96c0f790", "format": {"table": [0, 1], "cond": [[0, 6, 0, "F"], [1, 3, 0, "Joint replaced knee"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many female patients had joint replaced knee?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"GENDER\" = \"F\" AND DIAGNOSES.\"SHORT_TITLE\" = \"Joint replaced knee\"", "question_refine_tok": ["how", "many", "female", "patients", "had", "joint", "replaced", "knee", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"GENDER\"", "=", "\"F\"", "AND", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"Joint", "replaced", "knee\""]}
{"key": "d09aba7ac1f46482efede156db1b4780", "format": {"table": [0, 1], "cond": [[0, 6, 0, "F"], [1, 3, 0, "Hx-skin malignancy NEC"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many female patients had the diagnosis short title hx-skin malignancy nec?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"GENDER\" = \"F\" AND DIAGNOSES.\"SHORT_TITLE\" = \"Hx-skin malignancy NEC\"", "question_refine_tok": ["how", "many", "female", "patients", "had", "the", "diagnosis", "short", "title", "hx", "-", "skin", "malignancy", "nec", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"GENDER\"", "=", "\"F\"", "AND", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"Hx-skin", "malignancy", "NEC\""]}
{"key": "4b9bc1a9bc8af68b84596f5b21e90be6", "format": {"table": [0, 1], "cond": [[0, 6, 0, "F"], [1, 3, 0, "Gram-neg septicemia NEC"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "give me the number of female patients who have other gram-negative sepsis diagnoses.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"GENDER\" = \"F\" AND DIAGNOSES.\"SHORT_TITLE\" = \"Gram-neg septicemia NEC\"", "question_refine_tok": ["give", "me", "the", "number", "of", "female", "patients", "who", "have", "other", "gram", "-", "negative", "sepsis", "diagnoses", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"GENDER\"", "=", "\"F\"", "AND", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"Gram-neg", "septicemia", "NEC\""]}
{"key": "2c3e991659864048a46134e4f2ca7f62", "format": {"table": [0, 1], "cond": [[0, 6, 0, "M"], [1, 4, 0, "Anemia in chronic kidney disease"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what number of male patients were diagnosed with anemia in chronic kidney disease?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"GENDER\" = \"M\" AND DIAGNOSES.\"LONG_TITLE\" = \"Anemia in chronic kidney disease\"", "question_refine_tok": ["what", "number", "of", "male", "patients", "were", "diagnosed", "with", "anemia", "in", "chronic", "kidney", "disease", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"GENDER\"", "=", "\"M\"", "AND", "DIAGNOSES.\"LONG_TITLE\"", "=", "\"Anemia", "in", "chronic", "kidney", "disease\""]}
{"key": "034bf36e59f94b32db9bfd68c81e7f8d", "format": {"table": [0, 1], "cond": [[0, 6, 0, "F"], [1, 4, 0, "Kidney dialysis as the cause of abnormal reaction of patient, or of later complication, without mention of misadventure at time of procedure"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the total number of female patients who are on kidney dialysis due to abnormal reaction or some complication probably during procedure?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"GENDER\" = \"F\" AND DIAGNOSES.\"LONG_TITLE\" = \"Kidney dialysis as the cause of abnormal reaction of patient, or of later complication, without mention of misadventure at time of procedure\"", "question_refine_tok": ["what", "is", "the", "total", "number", "of", "female", "patients", "who", "are", "on", "kidney", "dialysis", "due", "to", "abnormal", "reaction", "or", "some", "complication", "probably", "during", "procedure", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"GENDER\"", "=", "\"F\"", "AND", "DIAGNOSES.\"LONG_TITLE\"", "=", "\"Kidney", "dialysis", "as", "the", "cause", "of", "abnormal", "reaction", "of", "patient,", "or", "of", "later", "complication,", "without", "mention", "of", "misadventure", "at", "time", "of", "procedure\""]}
{"key": "6f5ac6ce0b8e849f7c8cd543ff03319c", "format": {"table": [0, 1], "cond": [[0, 6, 0, "M"], [1, 4, 0, "Accidents occurring in residential institution"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many of the male patients had accidents occurring in residential institution?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"GENDER\" = \"M\" AND DIAGNOSES.\"LONG_TITLE\" = \"Accidents occurring in residential institution\"", "question_refine_tok": ["how", "many", "of", "the", "male", "patients", "had", "accidents", "occurring", "in", "residential", "institution", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"GENDER\"", "=", "\"M\"", "AND", "DIAGNOSES.\"LONG_TITLE\"", "=", "\"Accidents", "occurring", "in", "residential", "institution\""]}
{"key": "598a752066f799da4c909ae689634254", "format": {"table": [0, 1], "cond": [[0, 6, 0, "M"], [1, 4, 0, "Anemia in neoplastic disease"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "get the number of male patients who had diagnosis of anemia in neoplastic disease.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"GENDER\" = \"M\" AND DIAGNOSES.\"LONG_TITLE\" = \"Anemia in neoplastic disease\"", "question_refine_tok": ["get", "the", "number", "of", "male", "patients", "who", "had", "diagnosis", "of", "anemia", "in", "neoplastic", "disease", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"GENDER\"", "=", "\"M\"", "AND", "DIAGNOSES.\"LONG_TITLE\"", "=", "\"Anemia", "in", "neoplastic", "disease\""]}
{"key": "6749884505f5340dee37299652703615", "format": {"table": [0, 2], "cond": [[0, 6, 0, "M"], [2, 3, 0, "Aortocor bypas-2 cor art"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many male patients have undergone the procedure aortocor bypass-2 cor art?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"GENDER\" = \"M\" AND PROCEDURES.\"SHORT_TITLE\" = \"Aortocor bypas-2 cor art\"", "question_refine_tok": ["how", "many", "male", "patients", "have", "undergone", "the", "procedure", "aortocor", "bypass-2", "cor", "art", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"GENDER\"", "=", "\"M\"", "AND", "PROCEDURES.\"SHORT_TITLE\"", "=", "\"Aortocor", "bypas-2", "cor", "art\""]}
{"key": "9edfd39c7451110bd16acc2c43476011", "format": {"table": [0, 2], "cond": [[0, 6, 0, "F"], [2, 4, 0, "Intraoperative cardiac pacemaker"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of female patients who had the procedure called intraoperative cardiac pacemaker.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"GENDER\" = \"F\" AND PROCEDURES.\"LONG_TITLE\" = \"Intraoperative cardiac pacemaker\"", "question_refine_tok": ["count", "the", "number", "of", "female", "patients", "who", "had", "the", "procedure", "called", "intraoperative", "cardiac", "pacemaker", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"GENDER\"", "=", "\"F\"", "AND", "PROCEDURES.\"LONG_TITLE\"", "=", "\"Intraoperative", "cardiac", "pacemaker\""]}
{"key": "f9a2323ed7ed5eae0b88cf5dc99cff12", "format": {"table": [0, 2], "cond": [[0, 6, 0, "F"], [2, 4, 0, "Replacement of tube or enterostomy device of small intestine"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "tell me the number of female patients who had replacement of tube or enterostomy device of small intestine.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"GENDER\" = \"F\" AND PROCEDURES.\"LONG_TITLE\" = \"Replacement of tube or enterostomy device of small intestine\"", "question_refine_tok": ["tell", "me", "the", "number", "of", "female", "patients", "who", "had", "replacement", "of", "tube", "or", "enterostomy", "device", "of", "small", "intestine", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"GENDER\"", "=", "\"F\"", "AND", "PROCEDURES.\"LONG_TITLE\"", "=", "\"Replacement", "of", "tube", "or", "enterostomy", "device", "of", "small", "intestine\""]}
{"key": "d749388b37e4f91340f997dc4bda17e4", "format": {"table": [0, 2], "cond": [[0, 6, 0, "F"], [2, 4, 0, "Endovascular (total) embolization or occlusion of head and neck vessels"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "calculate the total number of female patients who had endovascular (total) embolization or occlusion of head and neck vessels", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"GENDER\" = \"F\" AND PROCEDURES.\"LONG_TITLE\" = \"Endovascular (total) embolization or occlusion of head and neck vessels\"", "question_refine_tok": ["calculate", "the", "total", "number", "of", "female", "patients", "who", "had", "endovascular", "(", "total", ")", "embolization", "or", "occlusion", "of", "head", "and", "neck", "vessels"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"GENDER\"", "=", "\"F\"", "AND", "PROCEDURES.\"LONG_TITLE\"", "=", "\"Endovascular", "(total)", "embolization", "or", "occlusion", "of", "head", "and", "neck", "vessels\""]}
{"key": "52ac14a8978e5a8f3990586711421ce3", "format": {"table": [0, 2], "cond": [[0, 6, 0, "M"], [2, 4, 0, "Umbilical vein catheterization"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many male patients had umbilical vein catheterization?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"GENDER\" = \"M\" AND PROCEDURES.\"LONG_TITLE\" = \"Umbilical vein catheterization\"", "question_refine_tok": ["how", "many", "male", "patients", "had", "umbilical", "vein", "catheterization", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"GENDER\"", "=", "\"M\"", "AND", "PROCEDURES.\"LONG_TITLE\"", "=", "\"Umbilical", "vein", "catheterization\""]}
{"key": "399ebe921ad1dbfcee3dd477863057b5", "format": {"table": [0, 3], "cond": [[0, 6, 0, "M"], [3, 4, 0, "Rosiglitazone Maleate"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many of the male patients received rosiglitazone maleate for treatment.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"GENDER\" = \"M\" AND PRESCRIPTIONS.\"DRUG\" = \"Rosiglitazone Maleate\"", "question_refine_tok": ["how", "many", "of", "the", "male", "patients", "received", "rosiglitazone", "maleate", "for", "treatment", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"GENDER\"", "=", "\"M\"", "AND", "PRESCRIPTIONS.\"DRUG\"", "=", "\"Rosiglitazone", "Maleate\""]}
{"key": "0092046d54210d9d4e066d02c63c13d5", "format": {"table": [0, 4], "cond": [[0, 6, 0, "M"], [4, 2, 0, 51144]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "provide me the number of male patients who have lab test item id 51144.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"GENDER\" = \"M\" AND LAB.\"ITEMID\" = \"51144\"", "question_refine_tok": ["provide", "me", "the", "number", "of", "male", "patients", "who", "have", "lab", "test", "item", "i", "d", "51144", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"GENDER\"", "=", "\"M\"", "AND", "LAB.\"ITEMID\"", "=", "\"51144\""]}
{"key": "2a7aea0517c8b148c1f5b940232cf4e0", "format": {"table": [0], "cond": [[0, 7, 0, "SPAN"], [0, 8, 0, "ROMANIAN EAST. ORTH"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of romanian eastern orthodox catholic patients who prefer spanish language?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"LANGUAGE\" = \"SPAN\" AND DEMOGRAPHIC.\"RELIGION\" = \"ROMANIAN EAST. ORTH\"", "question_refine_tok": ["what", "is", "the", "number", "of", "romanian", "eastern", "orthodox", "catholic", "patients", "who", "prefer", "spanish", "language", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"LANGUAGE\"", "=", "\"SPAN\"", "AND", "DEMOGRAPHIC.\"RELIGION\"", "=", "\"ROMANIAN", "EAST.", "ORTH\""]}
{"key": "8aa01d6b0371414a6cb67352b43c3938", "format": {"table": [0], "cond": [[0, 7, 0, "RUSS"], [0, 15, 0, "SNF"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients speak russ language and discharged to location snf?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"LANGUAGE\" = \"RUSS\" AND DEMOGRAPHIC.\"DISCHARGE_LOCATION\" = \"SNF\"", "question_refine_tok": ["how", "many", "patients", "speak", "russ", "language", "and", "discharged", "to", "location", "snf", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"LANGUAGE\"", "=", "\"RUSS\"", "AND", "DEMOGRAPHIC.\"DISCHARGE_LOCATION\"", "=", "\"SNF\""]}
{"key": "4962facddae1a7def3a47618ab4ecdb0", "format": {"table": [0], "cond": [[0, 7, 0, "ENGL"], [0, 4, 2, 36]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients whose language is english aged below 36 years?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"LANGUAGE\" = \"ENGL\" AND DEMOGRAPHIC.\"AGE\" < \"36\"", "question_refine_tok": ["how", "many", "patients", "whose", "language", "is", "english", "aged", "below", "36", "years", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"LANGUAGE\"", "=", "\"ENGL\"", "AND", "DEMOGRAPHIC.\"AGE\"", "<", "\"36\""]}
{"key": "0ad32d89fec3798306a695b91c7ffe3d", "format": {"table": [0], "cond": [[0, 7, 0, "PORT"], [0, 10, 1, 4]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many portuguese speaking patients have been admitted for more than 4 days in hospital?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"LANGUAGE\" = \"PORT\" AND DEMOGRAPHIC.\"DAYS_STAY\" > \"4\"", "question_refine_tok": ["how", "many", "portuguese", "speaking", "patients", "have", "been", "admitted", "for", "more", "than", "4", "days", "in", "hospital", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"LANGUAGE\"", "=", "\"PORT\"", "AND", "DEMOGRAPHIC.\"DAYS_STAY\"", ">", "\"4\""]}
{"key": "79893edb16cf032e8ef7e9acc3e7252c", "format": {"table": [0], "cond": [[0, 7, 0, "PTUN"], [0, 18, 2, 2064]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many ptun speaking patients were born in the year less than 2064?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"LANGUAGE\" = \"PTUN\" AND DEMOGRAPHIC.\"DOB_YEAR\" < \"2064\"", "question_refine_tok": ["how", "many", "ptun", "speaking", "patients", "were", "born", "in", "the", "year", "less", "than", "2064", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"LANGUAGE\"", "=", "\"PTUN\"", "AND", "DEMOGRAPHIC.\"DOB_YEAR\"", "<", "\"2064\""]}
{"key": "1b2f3f950a521b678d516bb264e82948", "format": {"table": [0], "cond": [[0, 7, 0, "ENGL"], [0, 18, 2, 2069]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of patients born before 2069 with preferred language english.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"LANGUAGE\" = \"ENGL\" AND DEMOGRAPHIC.\"DOB_YEAR\" < \"2069\"", "question_refine_tok": ["what", "is", "the", "number", "of", "patients", "born", "before", "2069", "with", "preferred", "language", "english", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"LANGUAGE\"", "=", "\"ENGL\"", "AND", "DEMOGRAPHIC.\"DOB_YEAR\"", "<", "\"2069\""]}
{"key": "4a6fc4eb733602cac814e4dced724056", "format": {"table": [0], "cond": [[0, 8, 0, "JEWISH"], [0, 22, 2, 2145]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "give me the number of jewish patients who were admitted to hospital before the year 2145.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"RELIGION\" = \"JEWISH\" AND DEMOGRAPHIC.\"ADMITYEAR\" < \"2145\"", "question_refine_tok": ["give", "me", "the", "number", "of", "jewish", "patients", "who", "were", "admitted", "to", "hospital", "before", "the", "year", "2145", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"RELIGION\"", "=", "\"JEWISH\"", "AND", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2145\""]}
{"key": "123275d99f03243fd372355a7a46b1c9", "format": {"table": [0], "cond": [[0, 8, 0, "JEWISH"], [0, 22, 2, 2146]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many jewish patients were admitted to the hospital before the year 2146?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"RELIGION\" = \"JEWISH\" AND DEMOGRAPHIC.\"ADMITYEAR\" < \"2146\"", "question_refine_tok": ["how", "many", "jewish", "patients", "were", "admitted", "to", "the", "hospital", "before", "the", "year", "2146", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"RELIGION\"", "=", "\"JEWISH\"", "AND", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2146\""]}
{"key": "0804130c540746ad78af4f048ca76822", "format": {"table": [0, 1], "cond": [[0, 8, 0, "ROMANIAN EAST. ORTH"], [1, 4, 0, "Accidents occurring in other specified places"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "provide the number of romanian eastern orthodox christian patients who have been diagnosed with accidents occurring in other specific places.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"RELIGION\" = \"ROMANIAN EAST. ORTH\" AND DIAGNOSES.\"LONG_TITLE\" = \"Accidents occurring in other specified places\"", "question_refine_tok": ["provide", "the", "number", "of", "romanian", "eastern", "orthodox", "christian", "patients", "who", "have", "been", "diagnosed", "with", "accidents", "occurring", "in", "other", "specific", "places", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"RELIGION\"", "=", "\"ROMANIAN", "EAST.", "ORTH\"", "AND", "DIAGNOSES.\"LONG_TITLE\"", "=", "\"Accidents", "occurring", "in", "other", "specified", "places\""]}
{"key": "46113b184d73a27b05f1ce2fe953464c", "format": {"table": [0, 1], "cond": [[0, 8, 0, "EPISCOPALIAN"], [1, 4, 0, "Personal history of malignant neoplasm of large intestine"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients follows episcopalian religion and diagnosed with personal history of malignant neoplasm of large intestine?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"RELIGION\" = \"EPISCOPALIAN\" AND DIAGNOSES.\"LONG_TITLE\" = \"Personal history of malignant neoplasm of large intestine\"", "question_refine_tok": ["how", "many", "patients", "follows", "episcopalian", "religion", "and", "diagnosed", "with", "personal", "history", "of", "malignant", "neoplasm", "of", "large", "intestine", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"RELIGION\"", "=", "\"EPISCOPALIAN\"", "AND", "DIAGNOSES.\"LONG_TITLE\"", "=", "\"Personal", "history", "of", "malignant", "neoplasm", "of", "large", "intestine\""]}
{"key": "b693977fa968f0a3985e37ebd83bf3a0", "format": {"table": [0, 4], "cond": [[0, 8, 0, "ROMANIAN EAST. ORTH"], [4, 2, 0, 51251]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many romanian eastern orthodox christianity religion patients have lab test item id 51251?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"RELIGION\" = \"ROMANIAN EAST. ORTH\" AND LAB.\"ITEMID\" = \"51251\"", "question_refine_tok": ["how", "many", "romanian", "eastern", "orthodox", "christianity", "religion", "patients", "have", "lab", "test", "item", "i", "d", "51251", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"RELIGION\"", "=", "\"ROMANIAN", "EAST.", "ORTH\"", "AND", "LAB.\"ITEMID\"", "=", "\"51251\""]}
{"key": "bbf4d8e02c8a60a3a16fb4916e755f35", "format": {"table": [0, 4], "cond": [[0, 8, 0, "CATHOLIC"], [4, 6, 0, "Absolute CD3 Count"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "provide the number of catholic religious background patients for whom absolute cd3 count lab test was ordered.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"RELIGION\" = \"CATHOLIC\" AND LAB.\"LABEL\" = \"Absolute CD3 Count\"", "question_refine_tok": ["provide", "the", "number", "of", "catholic", "religious", "background", "patients", "for", "whom", "absolute", "cd3", "count", "lab", "test", "was", "ordered", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"RELIGION\"", "=", "\"CATHOLIC\"", "AND", "LAB.\"LABEL\"", "=", "\"Absolute", "CD3", "Count\""]}
{"key": "45fbde33343acb9963f391a212b20671", "format": {"table": [0], "cond": [[0, 9, 0, "NEWBORN"], [0, 14, 0, "PHYS REFERRAL/NORMAL DELI"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many newborn patients were admitted with phys referral/normal deli?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ADMISSION_TYPE\" = \"NEWBORN\" AND DEMOGRAPHIC.\"ADMISSION_LOCATION\" = \"PHYS REFERRAL/NORMAL DELI\"", "question_refine_tok": ["how", "many", "newborn", "patients", "were", "admitted", "with", "phys", "referral", "/", "normal", "deli", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ADMISSION_TYPE\"", "=", "\"NEWBORN\"", "AND", "DEMOGRAPHIC.\"ADMISSION_LOCATION\"", "=", "\"PHYS", "REFERRAL/NORMAL", "DELI\""]}
{"key": "6ebf51becbfccd6987454dabe9af1879", "format": {"table": [0], "cond": [[0, 9, 0, "EMERGENCY"], [0, 14, 0, "EMERGENCY ROOM ADMIT"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "find the number of emergency hospital admission patients who were admitted via emergency hospital room.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ADMISSION_TYPE\" = \"EMERGENCY\" AND DEMOGRAPHIC.\"ADMISSION_LOCATION\" = \"EMERGENCY ROOM ADMIT\"", "question_refine_tok": ["find", "the", "number", "of", "emergency", "hospital", "admission", "patients", "who", "were", "admitted", "via", "emergency", "hospital", "room", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ADMISSION_TYPE\"", "=", "\"EMERGENCY\"", "AND", "DEMOGRAPHIC.\"ADMISSION_LOCATION\"", "=", "\"EMERGENCY", "ROOM", "ADMIT\""]}
{"key": "472a90a26a3ffa0553b786c2d07beffa", "format": {"table": [0], "cond": [[0, 9, 0, "ELECTIVE"], [0, 16, 0, "STEMI"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "tell me the number of elective hospital admission patients who have stemi primary disease.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ADMISSION_TYPE\" = \"ELECTIVE\" AND DEMOGRAPHIC.\"DIAGNOSIS\" = \"STEMI\"", "question_refine_tok": ["tell", "me", "the", "number", "of", "elective", "hospital", "admission", "patients", "who", "have", "stemi", "primary", "disease", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ADMISSION_TYPE\"", "=", "\"ELECTIVE\"", "AND", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"STEMI\""]}
{"key": "a7da800d6641542ffdf3c074abc7c41d", "format": {"table": [0], "cond": [[0, 9, 0, "EMERGENCY"], [0, 16, 0, "SQUAMOUS CELL CARCINOMA ORAL TONGUE/SDA"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients with squamous cell carcinoma oral tongue/sda were admitted in the emergency room?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ADMISSION_TYPE\" = \"EMERGENCY\" AND DEMOGRAPHIC.\"DIAGNOSIS\" = \"SQUAMOUS CELL CARCINOMA ORAL TONGUE/SDA\"", "question_refine_tok": ["how", "many", "patients", "with", "squamous", "cell", "carcinoma", "oral", "tongue", "/", "sda", "were", "admitted", "in", "the", "emergency", "room", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ADMISSION_TYPE\"", "=", "\"EMERGENCY\"", "AND", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"SQUAMOUS", "CELL", "CARCINOMA", "ORAL", "TONGUE/SDA\""]}
{"key": "1876348c3bc540ce1f44a9ec1f72e215", "format": {"table": [0], "cond": [[0, 9, 0, "EMERGENCY"], [0, 16, 0, "BOWEL OBSTRUCTION"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many of the patients admitted to emergency had bowel obstruction as primary disease?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ADMISSION_TYPE\" = \"EMERGENCY\" AND DEMOGRAPHIC.\"DIAGNOSIS\" = \"BOWEL OBSTRUCTION\"", "question_refine_tok": ["how", "many", "of", "the", "patients", "admitted", "to", "emergency", "had", "bowel", "obstruction", "as", "primary", "disease", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ADMISSION_TYPE\"", "=", "\"EMERGENCY\"", "AND", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"BOWEL", "OBSTRUCTION\""]}
{"key": "b65a4995b183d67f75b1bac63931d00c", "format": {"table": [0], "cond": [[0, 9, 0, "EMERGENCY"], [0, 4, 2, 68]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "find the number of emergency hospital admission patients who were less than 68 years of age.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ADMISSION_TYPE\" = \"EMERGENCY\" AND DEMOGRAPHIC.\"AGE\" < \"68\"", "question_refine_tok": ["find", "the", "number", "of", "emergency", "hospital", "admission", "patients", "who", "were", "less", "than", "68", "years", "of", "age", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ADMISSION_TYPE\"", "=", "\"EMERGENCY\"", "AND", "DEMOGRAPHIC.\"AGE\"", "<", "\"68\""]}
{"key": "43286f58c33032354f6195f2ff7d8616", "format": {"table": [0], "cond": [[0, 9, 0, "URGENT"], [0, 10, 1, 4]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many of the patients on urgent admission had a hospital stay of more than 4 days?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ADMISSION_TYPE\" = \"URGENT\" AND DEMOGRAPHIC.\"DAYS_STAY\" > \"4\"", "question_refine_tok": ["how", "many", "of", "the", "patients", "on", "urgent", "admission", "had", "a", "hospital", "stay", "of", "more", "than", "4", "days", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ADMISSION_TYPE\"", "=", "\"URGENT\"", "AND", "DEMOGRAPHIC.\"DAYS_STAY\"", ">", "\"4\""]}
{"key": "a264484e2988c9273a946f72a7ce2eec", "format": {"table": [0], "cond": [[0, 9, 0, "NEWBORN"], [0, 10, 1, 8]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "get me the number of newborn patients whose hospital stay is more than 8 days.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ADMISSION_TYPE\" = \"NEWBORN\" AND DEMOGRAPHIC.\"DAYS_STAY\" > \"8\"", "question_refine_tok": ["get", "me", "the", "number", "of", "newborn", "patients", "whose", "hospital", "stay", "is", "more", "than", "8", "days", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ADMISSION_TYPE\"", "=", "\"NEWBORN\"", "AND", "DEMOGRAPHIC.\"DAYS_STAY\"", ">", "\"8\""]}
{"key": "38bec3beb6ed8e4b6059d83b4029e47e", "format": {"table": [0], "cond": [[0, 9, 0, "ELECTIVE"], [0, 22, 2, 2203]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients were admitted before the year 2203 whose admission type was elective?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ADMISSION_TYPE\" = \"ELECTIVE\" AND DEMOGRAPHIC.\"ADMITYEAR\" < \"2203\"", "question_refine_tok": ["how", "many", "patients", "were", "admitted", "before", "the", "year", "2203", "whose", "admission", "type", "was", "elective", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ADMISSION_TYPE\"", "=", "\"ELECTIVE\"", "AND", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2203\""]}
{"key": "d22e0b282ca9735ffb32673bb86db853", "format": {"table": [0, 1], "cond": [[0, 9, 0, "URGENT"], [1, 2, 0, "99813"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many urgent hospital admission patients have diagnoses icd9 code 99813?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"ADMISSION_TYPE\" = \"URGENT\" AND DIAGNOSES.\"ICD9_CODE\" = \"99813\"", "question_refine_tok": ["how", "many", "urgent", "hospital", "admission", "patients", "have", "diagnoses", "icd9", "code", "99813", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMISSION_TYPE\"", "=", "\"URGENT\"", "AND", "DIAGNOSES.\"ICD9_CODE\"", "=", "\"99813\""]}
{"key": "d77c95a219a5fe27c8063a15d56aa16a", "format": {"table": [0, 1], "cond": [[0, 9, 0, "URGENT"], [1, 2, 0, "5939"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of patients with urgent hospital admission who had diagnosis icd9 code 5939.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"ADMISSION_TYPE\" = \"URGENT\" AND DIAGNOSES.\"ICD9_CODE\" = \"5939\"", "question_refine_tok": ["count", "the", "number", "of", "patients", "with", "urgent", "hospital", "admission", "who", "had", "diagnosis", "icd9", "code", "5939", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMISSION_TYPE\"", "=", "\"URGENT\"", "AND", "DIAGNOSES.\"ICD9_CODE\"", "=", "\"5939\""]}
{"key": "dcc7044cfae720b6498e95106a613e03", "format": {"table": [0, 1], "cond": [[0, 9, 0, "ELECTIVE"], [1, 2, 0, "42789"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients are admitted under elective type and diagnosed with icd9 code 42789?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"ADMISSION_TYPE\" = \"ELECTIVE\" AND DIAGNOSES.\"ICD9_CODE\" = \"42789\"", "question_refine_tok": ["how", "many", "patients", "are", "admitted", "under", "elective", "type", "and", "diagnosed", "with", "icd9", "code", "42789", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMISSION_TYPE\"", "=", "\"ELECTIVE\"", "AND", "DIAGNOSES.\"ICD9_CODE\"", "=", "\"42789\""]}
{"key": "e51ddfd422981b1a7f038b6d66982b62", "format": {"table": [0, 1], "cond": [[0, 9, 0, "URGENT"], [1, 3, 0, "Poison-psychotropic agt"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "find the number of urgent hospital admission patients who have poison-psychotropic agent diagnoses.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"ADMISSION_TYPE\" = \"URGENT\" AND DIAGNOSES.\"SHORT_TITLE\" = \"Poison-psychotropic agt\"", "question_refine_tok": ["find", "the", "number", "of", "urgent", "hospital", "admission", "patients", "who", "have", "poison", "-", "psychotropic", "agent", "diagnoses", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMISSION_TYPE\"", "=", "\"URGENT\"", "AND", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"Poison-psychotropic", "agt\""]}
{"key": "b2376360423a093741cbc3b9644a7764", "format": {"table": [0, 1], "cond": [[0, 9, 0, "ELECTIVE"], [1, 4, 0, "Blood in stool"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many elective hospital admission patients are diagnosed with blood in stool?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"ADMISSION_TYPE\" = \"ELECTIVE\" AND DIAGNOSES.\"LONG_TITLE\" = \"Blood in stool\"", "question_refine_tok": ["how", "many", "elective", "hospital", "admission", "patients", "are", "diagnosed", "with", "blood", "in", "stool", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMISSION_TYPE\"", "=", "\"ELECTIVE\"", "AND", "DIAGNOSES.\"LONG_TITLE\"", "=", "\"Blood", "in", "stool\""]}
{"key": "3daf7f6a2433ccb14c07a856a39df35d", "format": {"table": [0, 1], "cond": [[0, 9, 0, "ELECTIVE"], [1, 4, 0, "Other and unspecified open wound of head without mention of complication"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "give me the number of elective hospital admission patients who are diagnosed with other and unspecified open wound of head without mention of complication.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"ADMISSION_TYPE\" = \"ELECTIVE\" AND DIAGNOSES.\"LONG_TITLE\" = \"Other and unspecified open wound of head without mention of complication\"", "question_refine_tok": ["give", "me", "the", "number", "of", "elective", "hospital", "admission", "patients", "who", "are", "diagnosed", "with", "other", "and", "unspecified", "open", "wound", "of", "head", "without", "mention", "of", "complication", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMISSION_TYPE\"", "=", "\"ELECTIVE\"", "AND", "DIAGNOSES.\"LONG_TITLE\"", "=", "\"Other", "and", "unspecified", "open", "wound", "of", "head", "without", "mention", "of", "complication\""]}
{"key": "449b3ea74817cb58539ffdc559134722", "format": {"table": [0, 1], "cond": [[0, 9, 0, "URGENT"], [1, 4, 0, "Other shock without mention of trauma"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients with other shock without mention of trauma had urgent admission?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"ADMISSION_TYPE\" = \"URGENT\" AND DIAGNOSES.\"LONG_TITLE\" = \"Other shock without mention of trauma\"", "question_refine_tok": ["how", "many", "patients", "with", "other", "shock", "without", "mention", "of", "trauma", "had", "urgent", "admission", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMISSION_TYPE\"", "=", "\"URGENT\"", "AND", "DIAGNOSES.\"LONG_TITLE\"", "=", "\"Other", "shock", "without", "mention", "of", "trauma\""]}
{"key": "c92e6f2e27389b8b2d53e47b003c87bc", "format": {"table": [0, 2], "cond": [[0, 9, 0, "URGENT"], [2, 2, 0, 4610]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "tell me the number of urgent hospital admission patients who have procedure icd9 code 4610.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"ADMISSION_TYPE\" = \"URGENT\" AND PROCEDURES.\"ICD9_CODE\" = \"4610\"", "question_refine_tok": ["tell", "me", "the", "number", "of", "urgent", "hospital", "admission", "patients", "who", "have", "procedure", "icd9", "code", "4610", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMISSION_TYPE\"", "=", "\"URGENT\"", "AND", "PROCEDURES.\"ICD9_CODE\"", "=", "\"4610\""]}
{"key": "8fa57fea62a1a43bf60a7a6e2bebc925", "format": {"table": [0, 2], "cond": [[0, 9, 0, "ELECTIVE"], [2, 2, 0, 4611]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of elective hospital admission patients who have procedure icd9 code 4611?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"ADMISSION_TYPE\" = \"ELECTIVE\" AND PROCEDURES.\"ICD9_CODE\" = \"4611\"", "question_refine_tok": ["what", "is", "the", "number", "of", "elective", "hospital", "admission", "patients", "who", "have", "procedure", "icd9", "code", "4611", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMISSION_TYPE\"", "=", "\"ELECTIVE\"", "AND", "PROCEDURES.\"ICD9_CODE\"", "=", "\"4611\""]}
{"key": "e3149e0980fea9c5b9ff5b9b286196ac", "format": {"table": [0, 2], "cond": [[0, 9, 0, "EMERGENCY"], [2, 2, 0, 309]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "give me the number of patients who are emergency hospital admitted and have procedure icd9 code 309.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"ADMISSION_TYPE\" = \"EMERGENCY\" AND PROCEDURES.\"ICD9_CODE\" = \"309\"", "question_refine_tok": ["give", "me", "the", "number", "of", "patients", "who", "are", "emergency", "hospital", "admitted", "and", "have", "procedure", "icd9", "code", "309", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMISSION_TYPE\"", "=", "\"EMERGENCY\"", "AND", "PROCEDURES.\"ICD9_CODE\"", "=", "\"309\""]}
{"key": "f1f5914b4d9ae710605213613ad68149", "format": {"table": [0, 2], "cond": [[0, 9, 0, "EMERGENCY"], [2, 2, 0, 5185]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many of the patients admitted to emergency had icd9 code 5185?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"ADMISSION_TYPE\" = \"EMERGENCY\" AND PROCEDURES.\"ICD9_CODE\" = \"5185\"", "question_refine_tok": ["how", "many", "of", "the", "patients", "admitted", "to", "emergency", "had", "icd9", "code", "5185", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMISSION_TYPE\"", "=", "\"EMERGENCY\"", "AND", "PROCEDURES.\"ICD9_CODE\"", "=", "\"5185\""]}
{"key": "4ccda2671985747d57b988a6ea0899e2", "format": {"table": [0, 2], "cond": [[0, 9, 0, "EMERGENCY"], [2, 2, 0, 66]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "find the number of patients under the procedure icd9 code 66 who were admitted in emergency.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"ADMISSION_TYPE\" = \"EMERGENCY\" AND PROCEDURES.\"ICD9_CODE\" = \"66\"", "question_refine_tok": ["find", "the", "number", "of", "patients", "under", "the", "procedure", "icd9", "code", "66", "who", "were", "admitted", "in", "emergency", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMISSION_TYPE\"", "=", "\"EMERGENCY\"", "AND", "PROCEDURES.\"ICD9_CODE\"", "=", "\"66\""]}
{"key": "3e8aa882711cab4ded13c22a8ba50131", "format": {"table": [0, 2], "cond": [[0, 9, 0, "URGENT"], [2, 3, 0, "Spinal tap"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many number of patients are with admission type urgent and with procedure spinal tap?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"ADMISSION_TYPE\" = \"URGENT\" AND PROCEDURES.\"SHORT_TITLE\" = \"Spinal tap\"", "question_refine_tok": ["how", "many", "number", "of", "patients", "are", "with", "admission", "type", "urgent", "and", "with", "procedure", "spinal", "tap", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMISSION_TYPE\"", "=", "\"URGENT\"", "AND", "PROCEDURES.\"SHORT_TITLE\"", "=", "\"Spinal", "tap\""]}
{"key": "5e5968be48a2634b6e8c6f2749949a30", "format": {"table": [0, 2], "cond": [[0, 9, 0, "EMERGENCY"], [2, 3, 0, "Nasal sinus dx proc NEC"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of patients whose admission type is emergency and with procedure nasal sinus dx proc nec?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"ADMISSION_TYPE\" = \"EMERGENCY\" AND PROCEDURES.\"SHORT_TITLE\" = \"Nasal sinus dx proc NEC\"", "question_refine_tok": ["what", "is", "the", "number", "of", "patients", "whose", "admission", "type", "is", "emergency", "and", "with", "procedure", "nasal", "sinus", "dx", "proc", "nec", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMISSION_TYPE\"", "=", "\"EMERGENCY\"", "AND", "PROCEDURES.\"SHORT_TITLE\"", "=", "\"Nasal", "sinus", "dx", "proc", "NEC\""]}
{"key": "d5284e11527e552c9c956e292b04061a", "format": {"table": [0, 2], "cond": [[0, 9, 0, "URGENT"], [2, 4, 0, "Open and other right hemicolectomy"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many of the patients on urgent admission had open and other right hemicolectomy?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"ADMISSION_TYPE\" = \"URGENT\" AND PROCEDURES.\"LONG_TITLE\" = \"Open and other right hemicolectomy\"", "question_refine_tok": ["how", "many", "of", "the", "patients", "on", "urgent", "admission", "had", "open", "and", "other", "right", "hemicolectomy", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMISSION_TYPE\"", "=", "\"URGENT\"", "AND", "PROCEDURES.\"LONG_TITLE\"", "=", "\"Open", "and", "other", "right", "hemicolectomy\""]}
{"key": "cc14181f553319768dbd319149256d0b", "format": {"table": [0, 2], "cond": [[0, 9, 0, "ELECTIVE"], [2, 4, 0, "(Aorto)coronary bypass of three coronary arteries"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what number of patients with elective admission type had procedure title  (aorto)coronary bypass of three coronary arteries?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"ADMISSION_TYPE\" = \"ELECTIVE\" AND PROCEDURES.\"LONG_TITLE\" = \"(Aorto)coronary bypass of three coronary arteries\"", "question_refine_tok": ["what", "number", "of", "patients", "with", "elective", "admission", "type", "had", "procedure", "title", " ", "(", "aorto)coronary", "bypass", "of", "three", "coronary", "arteries", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMISSION_TYPE\"", "=", "\"ELECTIVE\"", "AND", "PROCEDURES.\"LONG_TITLE\"", "=", "\"(Aorto)coronary", "bypass", "of", "three", "coronary", "arteries\""]}
{"key": "bad0ebad9a06faea4ff1ce877e81897c", "format": {"table": [0, 2], "cond": [[0, 9, 0, "ELECTIVE"], [2, 4, 0, "Fiber-optic bronchoscopy"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "give me the number of elective hospital admission patients who underwent fiber-optic bronchoscopy procedure.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"ADMISSION_TYPE\" = \"ELECTIVE\" AND PROCEDURES.\"LONG_TITLE\" = \"Fiber-optic bronchoscopy\"", "question_refine_tok": ["give", "me", "the", "number", "of", "elective", "hospital", "admission", "patients", "who", "underwent", "fiber", "-", "optic", "bronchoscopy", "procedure", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMISSION_TYPE\"", "=", "\"ELECTIVE\"", "AND", "PROCEDURES.\"LONG_TITLE\"", "=", "\"Fiber-optic", "bronchoscopy\""]}
{"key": "8d94b1135a3afe272b57bdc72ad3252b", "format": {"table": [0, 2], "cond": [[0, 9, 0, "EMERGENCY"], [2, 4, 0, "Incision of vessel, abdominal arteries"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "provide the number of emergency hospital admission patients who had incision of vessel, abdominal arteries.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"ADMISSION_TYPE\" = \"EMERGENCY\" AND PROCEDURES.\"LONG_TITLE\" = \"Incision of vessel, abdominal arteries\"", "question_refine_tok": ["provide", "the", "number", "of", "emergency", "hospital", "admission", "patients", "who", "had", "incision", "of", "vessel", ",", "abdominal", "arteries", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMISSION_TYPE\"", "=", "\"EMERGENCY\"", "AND", "PROCEDURES.\"LONG_TITLE\"", "=", "\"Incision", "of", "vessel,", "abdominal", "arteries\""]}
{"key": "43f8995ee7a6333af6fbf7ac6e294c98", "format": {"table": [0, 3], "cond": [[0, 9, 0, "NEWBORN"], [3, 4, 0, "Metronidazole"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of newborn admitted patients who are taking metronidazole drug?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"ADMISSION_TYPE\" = \"NEWBORN\" AND PRESCRIPTIONS.\"DRUG\" = \"Metronidazole\"", "question_refine_tok": ["what", "is", "the", "number", "of", "newborn", "admitted", "patients", "who", "are", "taking", "metronidazole", "drug", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMISSION_TYPE\"", "=", "\"NEWBORN\"", "AND", "PRESCRIPTIONS.\"DRUG\"", "=", "\"Metronidazole\""]}
{"key": "3747d5579f2eb799a253f02971ceb57d", "format": {"table": [0, 3], "cond": [[0, 9, 0, "ELECTIVE"], [3, 4, 0, "Vitamin D"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "give me the number of elective hospital admission patients who are taking vitamin d prescription.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"ADMISSION_TYPE\" = \"ELECTIVE\" AND PRESCRIPTIONS.\"DRUG\" = \"Vitamin D\"", "question_refine_tok": ["give", "me", "the", "number", "of", "elective", "hospital", "admission", "patients", "who", "are", "taking", "vitamin", "d", "prescription", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMISSION_TYPE\"", "=", "\"ELECTIVE\"", "AND", "PRESCRIPTIONS.\"DRUG\"", "=", "\"Vitamin", "D\""]}
{"key": "0906b928beae931d3513e5d18f946381", "format": {"table": [0, 3], "cond": [[0, 9, 0, "ELECTIVE"], [3, 4, 0, "Succinylcholine"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients have been prescribed succinylcholine drug and had elective hospital admission?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"ADMISSION_TYPE\" = \"ELECTIVE\" AND PRESCRIPTIONS.\"DRUG\" = \"Succinylcholine\"", "question_refine_tok": ["how", "many", "patients", "have", "been", "prescribed", "succinylcholine", "drug", "and", "had", "elective", "hospital", "admission", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMISSION_TYPE\"", "=", "\"ELECTIVE\"", "AND", "PRESCRIPTIONS.\"DRUG\"", "=", "\"Succinylcholine\""]}
{"key": "08fe101ab8ea26652758d8ead557ab05", "format": {"table": [0, 3], "cond": [[0, 9, 0, "URGENT"], [3, 4, 0, "Calcium Carbonate"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "get the number of urgent hospital admission patients who have prescription for calcium carbonate.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"ADMISSION_TYPE\" = \"URGENT\" AND PRESCRIPTIONS.\"DRUG\" = \"Calcium Carbonate\"", "question_refine_tok": ["get", "the", "number", "of", "urgent", "hospital", "admission", "patients", "who", "have", "prescription", "for", "calcium", "carbonate", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMISSION_TYPE\"", "=", "\"URGENT\"", "AND", "PRESCRIPTIONS.\"DRUG\"", "=", "\"Calcium", "Carbonate\""]}
{"key": "35360848cbc7d357ec599a16fe682a38", "format": {"table": [0, 3], "cond": [[0, 9, 0, "EMERGENCY"], [3, 4, 0, "Vitamin B Complex"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients admitted in emergency have been prescribed the drug vitamin b complex?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"ADMISSION_TYPE\" = \"EMERGENCY\" AND PRESCRIPTIONS.\"DRUG\" = \"Vitamin B Complex\"", "question_refine_tok": ["how", "many", "patients", "admitted", "in", "emergency", "have", "been", "prescribed", "the", "drug", "vitamin", "b", "complex", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMISSION_TYPE\"", "=", "\"EMERGENCY\"", "AND", "PRESCRIPTIONS.\"DRUG\"", "=", "\"Vitamin", "B", "Complex\""]}
{"key": "b99ebec3437824f46a70eca591690140", "format": {"table": [0, 3], "cond": [[0, 9, 0, "ELECTIVE"], [3, 4, 0, "Famvir"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "find the number of elective hospital admission patients who have famvir drug prescription.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"ADMISSION_TYPE\" = \"ELECTIVE\" AND PRESCRIPTIONS.\"DRUG\" = \"Famvir\"", "question_refine_tok": ["find", "the", "number", "of", "elective", "hospital", "admission", "patients", "who", "have", "famvir", "drug", "prescription", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMISSION_TYPE\"", "=", "\"ELECTIVE\"", "AND", "PRESCRIPTIONS.\"DRUG\"", "=", "\"Famvir\""]}
{"key": "b3c2eca1c2d552072c951337fe42d4dc", "format": {"table": [0, 3], "cond": [[0, 9, 0, "URGENT"], [3, 4, 0, "Aspirin"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "give the number of patients whose admission type is urgent and was given the drug aspirin.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"ADMISSION_TYPE\" = \"URGENT\" AND PRESCRIPTIONS.\"DRUG\" = \"Aspirin\"", "question_refine_tok": ["give", "the", "number", "of", "patients", "whose", "admission", "type", "is", "urgent", "and", "was", "given", "the", "drug", "aspirin", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMISSION_TYPE\"", "=", "\"URGENT\"", "AND", "PRESCRIPTIONS.\"DRUG\"", "=", "\"Aspirin\""]}
{"key": "4f7974404745e9c8059ab1b37e68cc71", "format": {"table": [0, 3], "cond": [[0, 9, 0, "ELECTIVE"], [3, 4, 0, "Milk of Magnesia"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "tell me the number of elective hospital admission patients who have been prescribed milk of magnesia.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"ADMISSION_TYPE\" = \"ELECTIVE\" AND PRESCRIPTIONS.\"DRUG\" = \"Milk of Magnesia\"", "question_refine_tok": ["tell", "me", "the", "number", "of", "elective", "hospital", "admission", "patients", "who", "have", "been", "prescribed", "milk", "of", "magnesia", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMISSION_TYPE\"", "=", "\"ELECTIVE\"", "AND", "PRESCRIPTIONS.\"DRUG\"", "=", "\"Milk", "of", "Magnesia\""]}
{"key": "f354233e961520137fa7dda9a7648856", "format": {"table": [0, 3], "cond": [[0, 9, 0, "URGENT"], [3, 6, 0, "OU"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "get me the number of patients on ou route of drug administration who had urgent hospital admission.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"ADMISSION_TYPE\" = \"URGENT\" AND PRESCRIPTIONS.\"ROUTE\" = \"OU\"", "question_refine_tok": ["get", "me", "the", "number", "of", "patients", "on", "ou", "route", "of", "drug", "administration", "who", "had", "urgent", "hospital", "admission", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMISSION_TYPE\"", "=", "\"URGENT\"", "AND", "PRESCRIPTIONS.\"ROUTE\"", "=", "\"OU\""]}
{"key": "7e3676f016f2962177752df1797464b8", "format": {"table": [0, 3], "cond": [[0, 9, 0, "NEWBORN"], [3, 6, 0, "NEB"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many newborn patients have neb route of drug administration?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"ADMISSION_TYPE\" = \"NEWBORN\" AND PRESCRIPTIONS.\"ROUTE\" = \"NEB\"", "question_refine_tok": ["how", "many", "newborn", "patients", "have", "neb", "route", "of", "drug", "administration", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMISSION_TYPE\"", "=", "\"NEWBORN\"", "AND", "PRESCRIPTIONS.\"ROUTE\"", "=", "\"NEB\""]}
{"key": "8d0f066f54f0127c5477a2379f6dba98", "format": {"table": [0, 3], "cond": [[0, 9, 0, "EMERGENCY"], [3, 6, 0, "NEB"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "find the number of emergency hospital admitted patients who had neb route of drug administration.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"ADMISSION_TYPE\" = \"EMERGENCY\" AND PRESCRIPTIONS.\"ROUTE\" = \"NEB\"", "question_refine_tok": ["find", "the", "number", "of", "emergency", "hospital", "admitted", "patients", "who", "had", "neb", "route", "of", "drug", "administration", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMISSION_TYPE\"", "=", "\"EMERGENCY\"", "AND", "PRESCRIPTIONS.\"ROUTE\"", "=", "\"NEB\""]}
{"key": "22d7f8d2b28696d487da0020021d429b", "format": {"table": [0, 4], "cond": [[0, 9, 0, "URGENT"], [4, 2, 0, 50980]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of patients whose admission type is urgent and with lab test item id 50980?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"ADMISSION_TYPE\" = \"URGENT\" AND LAB.\"ITEMID\" = \"50980\"", "question_refine_tok": ["what", "is", "the", "number", "of", "patients", "whose", "admission", "type", "is", "urgent", "and", "with", "lab", "test", "item", "i", "d", "50980", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMISSION_TYPE\"", "=", "\"URGENT\"", "AND", "LAB.\"ITEMID\"", "=", "\"50980\""]}
{"key": "34c89e2fdbc8025f2633d6008c19f1cd", "format": {"table": [0, 4], "cond": [[0, 9, 0, "ELECTIVE"], [4, 2, 0, 51256]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "provide the number of patients whose admission type is elective and item id is 51256.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"ADMISSION_TYPE\" = \"ELECTIVE\" AND LAB.\"ITEMID\" = \"51256\"", "question_refine_tok": ["provide", "the", "number", "of", "patients", "whose", "admission", "type", "is", "elective", "and", "item", "i", "d", "is", "51256", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMISSION_TYPE\"", "=", "\"ELECTIVE\"", "AND", "LAB.\"ITEMID\"", "=", "\"51256\""]}
{"key": "87be58f3c79ee649ccff89abd4024e9d", "format": {"table": [0, 4], "cond": [[0, 9, 0, "ELECTIVE"], [4, 2, 0, 51466]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients have elective admission type  and lab test item id is 51466?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"ADMISSION_TYPE\" = \"ELECTIVE\" AND LAB.\"ITEMID\" = \"51466\"", "question_refine_tok": ["how", "many", "patients", "have", "elective", "admission", "type", " ", "and", "lab", "test", "item", "i", "d", "is", "51466", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMISSION_TYPE\"", "=", "\"ELECTIVE\"", "AND", "LAB.\"ITEMID\"", "=", "\"51466\""]}
{"key": "a1e8dc79f144ddf7fa70d612f6b99ba2", "format": {"table": [0, 4], "cond": [[0, 9, 0, "ELECTIVE"], [4, 2, 0, 50927]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of elective hospital admission patients who have lab test item id 50927?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"ADMISSION_TYPE\" = \"ELECTIVE\" AND LAB.\"ITEMID\" = \"50927\"", "question_refine_tok": ["what", "is", "the", "number", "of", "elective", "hospital", "admission", "patients", "who", "have", "lab", "test", "item", "i", "d", "50927", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMISSION_TYPE\"", "=", "\"ELECTIVE\"", "AND", "LAB.\"ITEMID\"", "=", "\"50927\""]}
{"key": "e00e61f23255dba85e68c2da59cac2b3", "format": {"table": [0, 4], "cond": [[0, 9, 0, "NEWBORN"], [4, 2, 0, 51276]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of patients whose admission type is newborn and lab test item id is 51276.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"ADMISSION_TYPE\" = \"NEWBORN\" AND LAB.\"ITEMID\" = \"51276\"", "question_refine_tok": ["count", "the", "number", "of", "patients", "whose", "admission", "type", "is", "newborn", "and", "lab", "test", "item", "i", "d", "is", "51276", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMISSION_TYPE\"", "=", "\"NEWBORN\"", "AND", "LAB.\"ITEMID\"", "=", "\"51276\""]}
{"key": "74f8611927b988fe07c5d4f9d4a52eb5", "format": {"table": [0, 4], "cond": [[0, 9, 0, "URGENT"], [4, 6, 0, "Macrophage"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients admitted in urgent care have had macrophage lab test?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"ADMISSION_TYPE\" = \"URGENT\" AND LAB.\"LABEL\" = \"Macrophage\"", "question_refine_tok": ["how", "many", "patients", "admitted", "in", "urgent", "care", "have", "had", "macrophage", "lab", "test", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMISSION_TYPE\"", "=", "\"URGENT\"", "AND", "LAB.\"LABEL\"", "=", "\"Macrophage\""]}
{"key": "b2566436bece8c95204c8d62dc47c773", "format": {"table": [0, 4], "cond": [[0, 9, 0, "URGENT"], [4, 6, 0, "Glucose, Body Fluid"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "give me the number of urgent hospital admission patients for whom glucose, body fluid lab test was ordered.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"ADMISSION_TYPE\" = \"URGENT\" AND LAB.\"LABEL\" = \"Glucose, Body Fluid\"", "question_refine_tok": ["give", "me", "the", "number", "of", "urgent", "hospital", "admission", "patients", "for", "whom", "glucose", ",", "body", "fluid", "lab", "test", "was", "ordered", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMISSION_TYPE\"", "=", "\"URGENT\"", "AND", "LAB.\"LABEL\"", "=", "\"Glucose,", "Body", "Fluid\""]}
{"key": "213a05ddcd2aefec09dd3be67b17d1d6", "format": {"table": [0, 4], "cond": [[0, 9, 0, "ELECTIVE"], [4, 6, 0, "Mesothelial cells"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients with elective hospital admissions have mesothelial cells lab test done?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"ADMISSION_TYPE\" = \"ELECTIVE\" AND LAB.\"LABEL\" = \"Mesothelial cells\"", "question_refine_tok": ["how", "many", "patients", "with", "elective", "hospital", "admissions", "have", "mesothelial", "cells", "lab", "test", "done", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMISSION_TYPE\"", "=", "\"ELECTIVE\"", "AND", "LAB.\"LABEL\"", "=", "\"Mesothelial", "cells\""]}
{"key": "43bea1dff21d53159a8c6cca972fe92b", "format": {"table": [0, 4], "cond": [[0, 9, 0, "EMERGENCY"], [4, 6, 0, "Lymphs"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what number of patients admitted in emergency had lab test for lymphs?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"ADMISSION_TYPE\" = \"EMERGENCY\" AND LAB.\"LABEL\" = \"Lymphs\"", "question_refine_tok": ["what", "number", "of", "patients", "admitted", "in", "emergency", "had", "lab", "test", "for", "lymphs", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMISSION_TYPE\"", "=", "\"EMERGENCY\"", "AND", "LAB.\"LABEL\"", "=", "\"Lymphs\""]}
{"key": "397fc066fe70992b9b1732358b5d40de", "format": {"table": [0, 4], "cond": [[0, 9, 0, "EMERGENCY"], [4, 6, 0, "CD3 Cells, Percent"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "give the number of patients whose admission type is emergency and the lab test name is cd3 cells percentage.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"ADMISSION_TYPE\" = \"EMERGENCY\" AND LAB.\"LABEL\" = \"CD3 Cells, Percent\"", "question_refine_tok": ["give", "the", "number", "of", "patients", "whose", "admission", "type", "is", "emergency", "and", "the", "lab", "test", "name", "is", "cd3", "cells", "percentage", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMISSION_TYPE\"", "=", "\"EMERGENCY\"", "AND", "LAB.\"LABEL\"", "=", "\"CD3", "Cells,", "Percent\""]}
{"key": "bdc6f0ece3e447ccfcce3bdffbcfc947", "format": {"table": [0], "cond": [[0, 11, 0, "Government"], [0, 14, 0, "EMERGENCY ROOM ADMIT"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many government insurance patients had emergency room admission?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"INSURANCE\" = \"Government\" AND DEMOGRAPHIC.\"ADMISSION_LOCATION\" = \"EMERGENCY ROOM ADMIT\"", "question_refine_tok": ["how", "many", "government", "insurance", "patients", "had", "emergency", "room", "admission", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"INSURANCE\"", "=", "\"Government\"", "AND", "DEMOGRAPHIC.\"ADMISSION_LOCATION\"", "=", "\"EMERGENCY", "ROOM", "ADMIT\""]}
{"key": "619f21c36fe2a388c3754575d37c1e3d", "format": {"table": [0], "cond": [[0, 11, 0, "Medicaid"], [0, 16, 0, "ST ELEVATED MYOCARDIAL INFARCTION\\CARDIAC CATH"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients have medicaid insurance and diagnosed with st elevated myocardial infarction\\cardiac cath?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"INSURANCE\" = \"Medicaid\" AND DEMOGRAPHIC.\"DIAGNOSIS\" = \"ST ELEVATED MYOCARDIAL INFARCTION\\CARDIAC CATH\"", "question_refine_tok": ["how", "many", "patients", "have", "medicaid", "insurance", "and", "diagnosed", "with", "st", "elevated", "myocardial", "infarction\\cardiac", "cath", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"INSURANCE\"", "=", "\"Medicaid\"", "AND", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"ST", "ELEVATED", "MYOCARDIAL", "INFARCTION\\CARDIAC", "CATH\""]}
{"key": "ef8e452d4923683c16dcda30915d61c6", "format": {"table": [0], "cond": [[0, 11, 0, "Medicaid"], [0, 16, 0, "PNEUMONIA"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of medicaid patients who have pneumonia primary disease.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"INSURANCE\" = \"Medicaid\" AND DEMOGRAPHIC.\"DIAGNOSIS\" = \"PNEUMONIA\"", "question_refine_tok": ["count", "the", "number", "of", "medicaid", "patients", "who", "have", "pneumonia", "primary", "disease", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"INSURANCE\"", "=", "\"Medicaid\"", "AND", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"PNEUMONIA\""]}
{"key": "e1f014c0327f5ec282b28c5bd0703721", "format": {"table": [0], "cond": [[0, 11, 0, "Medicaid"], [0, 16, 0, "CORONARY ARTERY DISEASE\\CORONARY ARTERY BYPASS GRAFT /SDA"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "get the number of medicaid insurance patients who have coronary artery disease/coronary artery bypass graft/sda primary disease.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"INSURANCE\" = \"Medicaid\" AND DEMOGRAPHIC.\"DIAGNOSIS\" = \"CORONARY ARTERY DISEASE\\CORONARY ARTERY BYPASS GRAFT /SDA\"", "question_refine_tok": ["get", "the", "number", "of", "medicaid", "insurance", "patients", "who", "have", "coronary", "artery", "disease", "/", "coronary", "artery", "bypass", "graft", "/", "sda", "primary", "disease", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"INSURANCE\"", "=", "\"Medicaid\"", "AND", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"CORONARY", "ARTERY", "DISEASE\\CORONARY", "ARTERY", "BYPASS", "GRAFT", "/SDA\""]}
{"key": "e2f141e3e486e4c12efbf072fec98e30", "format": {"table": [0], "cond": [[0, 11, 0, "Private"], [0, 10, 1, 8]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "find the number of patients with private insurance who stayed in the hospital for more than 8 days.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"INSURANCE\" = \"Private\" AND DEMOGRAPHIC.\"DAYS_STAY\" > \"8\"", "question_refine_tok": ["find", "the", "number", "of", "patients", "with", "private", "insurance", "who", "stayed", "in", "the", "hospital", "for", "more", "than", "8", "days", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"INSURANCE\"", "=", "\"Private\"", "AND", "DEMOGRAPHIC.\"DAYS_STAY\"", ">", "\"8\""]}
{"key": "21b8dbcffe8d474b9a90040ebccf845b", "format": {"table": [0, 1], "cond": [[0, 11, 0, "Medicare"], [1, 2, 0, "79439"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "provide the number of patients who have a medicare insurance and diagnosis icd9 code is 79439.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"INSURANCE\" = \"Medicare\" AND DIAGNOSES.\"ICD9_CODE\" = \"79439\"", "question_refine_tok": ["provide", "the", "number", "of", "patients", "who", "have", "a", "medicare", "insurance", "and", "diagnosis", "icd9", "code", "is", "79439", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"INSURANCE\"", "=", "\"Medicare\"", "AND", "DIAGNOSES.\"ICD9_CODE\"", "=", "\"79439\""]}
{"key": "8c239d0af31647450391ab8dad799230", "format": {"table": [0, 1], "cond": [[0, 11, 0, "Medicaid"], [1, 3, 0, "Drug induced neutropenia"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "give the number of patients whose insurance is medicaid and diagnosis short title is drug induced neutropenia.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"INSURANCE\" = \"Medicaid\" AND DIAGNOSES.\"SHORT_TITLE\" = \"Drug induced neutropenia\"", "question_refine_tok": ["give", "the", "number", "of", "patients", "whose", "insurance", "is", "medicaid", "and", "diagnosis", "short", "title", "is", "drug", "induced", "neutropenia", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"INSURANCE\"", "=", "\"Medicaid\"", "AND", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"Drug", "induced", "neutropenia\""]}
{"key": "d57f7cdb6c4512f54a59b2ecca02fdfc", "format": {"table": [0, 1], "cond": [[0, 11, 0, "Self Pay"], [1, 3, 0, "Gstr/ddnts NOS w/o hmrhg"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "calculate the number of patients with gstr/ddnts nos w/o hemorrhage who were on self-pay", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"INSURANCE\" = \"Self Pay\" AND DIAGNOSES.\"SHORT_TITLE\" = \"Gstr/ddnts NOS w/o hmrhg\"", "question_refine_tok": ["calculate", "the", "number", "of", "patients", "with", "gstr", "/", "ddnts", "nos", "w/o", "hemorrhage", "who", "were", "on", "self", "-", "pay"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"INSURANCE\"", "=", "\"Self", "Pay\"", "AND", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"Gstr/ddnts", "NOS", "w/o", "hmrhg\""]}
{"key": "59421f626e36a47db0ac2881742dff27", "format": {"table": [0, 1], "cond": [[0, 11, 0, "Medicare"], [1, 3, 0, "Iatrogenc hypotnsion NEC"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients with medicare insurance were diagnosed with iatrogenic hypotnsion nec?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"INSURANCE\" = \"Medicare\" AND DIAGNOSES.\"SHORT_TITLE\" = \"Iatrogenc hypotnsion NEC\"", "question_refine_tok": ["how", "many", "patients", "with", "medicare", "insurance", "were", "diagnosed", "with", "iatrogenic", "hypotnsion", "nec", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"INSURANCE\"", "=", "\"Medicare\"", "AND", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"Iatrogenc", "hypotnsion", "NEC\""]}
{"key": "92a089c600dd35f09d1772668ad31543", "format": {"table": [0, 1], "cond": [[0, 11, 0, "Self Pay"], [1, 3, 0, "Parox ventric tachycard"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what number of patients diagnosed with parox ventric tachycard had no insurance?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"INSURANCE\" = \"Self Pay\" AND DIAGNOSES.\"SHORT_TITLE\" = \"Parox ventric tachycard\"", "question_refine_tok": ["what", "number", "of", "patients", "diagnosed", "with", "parox", "ventric", "tachycard", "had", "no", "insurance", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"INSURANCE\"", "=", "\"Self", "Pay\"", "AND", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"Parox", "ventric", "tachycard\""]}
{"key": "3527eedf5bf74743d07dea87cddcc583", "format": {"table": [0, 1], "cond": [[0, 11, 0, "Government"], [1, 4, 0, "Alzheimer's disease"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the total number of alzheimer's disease patients insured by government?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"INSURANCE\" = \"Government\" AND DIAGNOSES.\"LONG_TITLE\" = \"Alzheimer's disease\"", "question_refine_tok": ["what", "is", "the", "total", "number", "of", "alzheimer", "'s", "disease", "patients", "insured", "by", "government", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"INSURANCE\"", "=", "\"Government\"", "AND", "DIAGNOSES.\"LONG_TITLE\"", "=", "\"Alzheimer's", "disease\""]}
{"key": "68ba59121b26789c14a9c5a1b2221a48", "format": {"table": [0, 1], "cond": [[0, 11, 0, "Medicare"], [1, 4, 0, "Body Mass Index less than 19, adult"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "find the number of medicare health insurance patients who have body mass index less than 19, adult diagnoses.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"INSURANCE\" = \"Medicare\" AND DIAGNOSES.\"LONG_TITLE\" = \"Body Mass Index less than 19, adult\"", "question_refine_tok": ["find", "the", "number", "of", "medicare", "health", "insurance", "patients", "who", "have", "body", "mass", "index", "less", "than", "19", ",", "adult", "diagnoses", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"INSURANCE\"", "=", "\"Medicare\"", "AND", "DIAGNOSES.\"LONG_TITLE\"", "=", "\"Body", "Mass", "Index", "less", "than", "19,", "adult\""]}
{"key": "545caa9b0fbe20015858e7642a06c817", "format": {"table": [0, 1], "cond": [[0, 11, 0, "Medicare"], [1, 4, 0, "Acute myocardial infarction of inferolateral wall, initial episode of care"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "provide the number of patients with medicare insurance who were diagnosed with acute myocardial infarction of inferolateral wall, initial episode of care.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"INSURANCE\" = \"Medicare\" AND DIAGNOSES.\"LONG_TITLE\" = \"Acute myocardial infarction of inferolateral wall, initial episode of care\"", "question_refine_tok": ["provide", "the", "number", "of", "patients", "with", "medicare", "insurance", "who", "were", "diagnosed", "with", "acute", "myocardial", "infarction", "of", "inferolateral", "wall", ",", "initial", "episode", "of", "care", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"INSURANCE\"", "=", "\"Medicare\"", "AND", "DIAGNOSES.\"LONG_TITLE\"", "=", "\"Acute", "myocardial", "infarction", "of", "inferolateral", "wall,", "initial", "episode", "of", "care\""]}
{"key": "b5834f5df75e247f031d44fd5e2d431e", "format": {"table": [0, 2], "cond": [[0, 11, 0, "Private"], [2, 3, 0, "Ureteral catheterization"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients with private health insurance had ureteral catheterization procedure?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"INSURANCE\" = \"Private\" AND PROCEDURES.\"SHORT_TITLE\" = \"Ureteral catheterization\"", "question_refine_tok": ["how", "many", "patients", "with", "private", "health", "insurance", "had", "ureteral", "catheterization", "procedure", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"INSURANCE\"", "=", "\"Private\"", "AND", "PROCEDURES.\"SHORT_TITLE\"", "=", "\"Ureteral", "catheterization\""]}
{"key": "e315412f936cbba076db8af18186cf9a", "format": {"table": [0, 2], "cond": [[0, 11, 0, "Government"], [2, 3, 0, "Incision of aorta"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many government insurance patients had incision of aorta procedure?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"INSURANCE\" = \"Government\" AND PROCEDURES.\"SHORT_TITLE\" = \"Incision of aorta\"", "question_refine_tok": ["how", "many", "government", "insurance", "patients", "had", "incision", "of", "aorta", "procedure", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"INSURANCE\"", "=", "\"Government\"", "AND", "PROCEDURES.\"SHORT_TITLE\"", "=", "\"Incision", "of", "aorta\""]}
{"key": "1b30962d26f84d23868d180ee69e3331", "format": {"table": [0, 2], "cond": [[0, 11, 0, "Government"], [2, 3, 0, "Radiotherapeut proc NEC"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of government health insurance patients who had radiotherapeut proc nec as the diagnosis short title?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"INSURANCE\" = \"Government\" AND PROCEDURES.\"SHORT_TITLE\" = \"Radiotherapeut proc NEC\"", "question_refine_tok": ["what", "is", "the", "number", "of", "government", "health", "insurance", "patients", "who", "had", "radiotherapeut", "proc", "nec", "as", "the", "diagnosis", "short", "title", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"INSURANCE\"", "=", "\"Government\"", "AND", "PROCEDURES.\"SHORT_TITLE\"", "=", "\"Radiotherapeut", "proc", "NEC\""]}
{"key": "1d538f9789e2b8a593254002beed8493", "format": {"table": [0, 2], "cond": [[0, 11, 0, "Government"], [2, 3, 0, "Aortocor bypas-2 cor art"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many of the patients on government insurance had aortocor bypas-2 cor art?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"INSURANCE\" = \"Government\" AND PROCEDURES.\"SHORT_TITLE\" = \"Aortocor bypas-2 cor art\"", "question_refine_tok": ["how", "many", "of", "the", "patients", "on", "government", "insurance", "had", "aortocor", "bypas-2", "cor", "art", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"INSURANCE\"", "=", "\"Government\"", "AND", "PROCEDURES.\"SHORT_TITLE\"", "=", "\"Aortocor", "bypas-2", "cor", "art\""]}
{"key": "65813b37af2ed65abdf3f6deb85f5730", "format": {"table": [0, 2], "cond": [[0, 11, 0, "Government"], [2, 3, 0, "Open reduc-int fix femur"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of patients who have government insurance and have undergone the procedure open reduc-int fix femur?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"INSURANCE\" = \"Government\" AND PROCEDURES.\"SHORT_TITLE\" = \"Open reduc-int fix femur\"", "question_refine_tok": ["what", "is", "the", "number", "of", "patients", "who", "have", "government", "insurance", "and", "have", "undergone", "the", "procedure", "open", "reduc", "-", "int", "fix", "femur", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"INSURANCE\"", "=", "\"Government\"", "AND", "PROCEDURES.\"SHORT_TITLE\"", "=", "\"Open", "reduc-int", "fix", "femur\""]}
{"key": "77241ffd63218d442267cdde2f570c3b", "format": {"table": [0, 2], "cond": [[0, 11, 0, "Medicaid"], [2, 3, 0, "Conduit left ventr-aorta"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many medicaid insurance patients have undergone conduit left ventr-aorta procedure?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"INSURANCE\" = \"Medicaid\" AND PROCEDURES.\"SHORT_TITLE\" = \"Conduit left ventr-aorta\"", "question_refine_tok": ["how", "many", "medicaid", "insurance", "patients", "have", "undergone", "conduit", "left", "ventr", "-", "aorta", "procedure", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"INSURANCE\"", "=", "\"Medicaid\"", "AND", "PROCEDURES.\"SHORT_TITLE\"", "=", "\"Conduit", "left", "ventr-aorta\""]}
{"key": "cc6cb4b64dd79b020489c3641bb5819d", "format": {"table": [0, 2], "cond": [[0, 11, 0, "Government"], [2, 4, 0, "Colonoscopy"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "calculate the number of patients on government insurance who had colonoscopy", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"INSURANCE\" = \"Government\" AND PROCEDURES.\"LONG_TITLE\" = \"Colonoscopy\"", "question_refine_tok": ["calculate", "the", "number", "of", "patients", "on", "government", "insurance", "who", "had", "colonoscopy"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"INSURANCE\"", "=", "\"Government\"", "AND", "PROCEDURES.\"LONG_TITLE\"", "=", "\"Colonoscopy\""]}
{"key": "f0298876c57745092b4c723f0820eeb0", "format": {"table": [0, 2], "cond": [[0, 11, 0, "Government"], [2, 4, 0, "Radical cystectomy"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of government health insurance patients who had radical cystectomy?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"INSURANCE\" = \"Government\" AND PROCEDURES.\"LONG_TITLE\" = \"Radical cystectomy\"", "question_refine_tok": ["what", "is", "the", "number", "of", "government", "health", "insurance", "patients", "who", "had", "radical", "cystectomy", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"INSURANCE\"", "=", "\"Government\"", "AND", "PROCEDURES.\"LONG_TITLE\"", "=", "\"Radical", "cystectomy\""]}
{"key": "0a04cc1f047716fdd956d5a7f44fe56a", "format": {"table": [0, 2], "cond": [[0, 11, 0, "Government"], [2, 4, 0, "Drug detoxification"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "get the number of government insurance patients who underwent drug detoxification procedure.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"INSURANCE\" = \"Government\" AND PROCEDURES.\"LONG_TITLE\" = \"Drug detoxification\"", "question_refine_tok": ["get", "the", "number", "of", "government", "insurance", "patients", "who", "underwent", "drug", "detoxification", "procedure", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"INSURANCE\"", "=", "\"Government\"", "AND", "PROCEDURES.\"LONG_TITLE\"", "=", "\"Drug", "detoxification\""]}
{"key": "a0cb5a9e1449b65cc0d6bc6c8ff0fb62", "format": {"table": [0, 2], "cond": [[0, 11, 0, "Government"], [2, 4, 0, "Umbilical vein catheterization"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many government health insurance patients underwent umbilical vein catheterization procedure?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"INSURANCE\" = \"Government\" AND PROCEDURES.\"LONG_TITLE\" = \"Umbilical vein catheterization\"", "question_refine_tok": ["how", "many", "government", "health", "insurance", "patients", "underwent", "umbilical", "vein", "catheterization", "procedure", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"INSURANCE\"", "=", "\"Government\"", "AND", "PROCEDURES.\"LONG_TITLE\"", "=", "\"Umbilical", "vein", "catheterization\""]}
{"key": "5f9a87e7626d225e359c64d1fa5e1cb8", "format": {"table": [0, 2], "cond": [[0, 11, 0, "Government"], [2, 4, 0, "Local excision of lesion or tissue of bone, scapula, clavicle, and thorax [ribs and sternum]"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients with government insurance had the procedure titled local excision of lesion or tissue of bone, scapula, clavicle, and thorax [ribs and sternum]?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"INSURANCE\" = \"Government\" AND PROCEDURES.\"LONG_TITLE\" = \"Local excision of lesion or tissue of bone, scapula, clavicle, and thorax [ribs and sternum]\"", "question_refine_tok": ["how", "many", "patients", "with", "government", "insurance", "had", "the", "procedure", "titled", "local", "excision", "of", "lesion", "or", "tissue", "of", "bone", ",", "scapula", ",", "clavicle", ",", "and", "thorax", "[", "ribs", "and", "sternum", "]", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"INSURANCE\"", "=", "\"Government\"", "AND", "PROCEDURES.\"LONG_TITLE\"", "=", "\"Local", "excision", "of", "lesion", "or", "tissue", "of", "bone,", "scapula,", "clavicle,", "and", "thorax", "[ribs", "and", "sternum]\""]}
{"key": "b6c2018646f23d1d30b7e5c6611e5e25", "format": {"table": [0, 2], "cond": [[0, 11, 0, "Self Pay"], [2, 4, 0, "Open biopsy of soft tissue"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients are with self pay insurance and have undergone the procedure open biopsy of soft tissue?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"INSURANCE\" = \"Self Pay\" AND PROCEDURES.\"LONG_TITLE\" = \"Open biopsy of soft tissue\"", "question_refine_tok": ["how", "many", "patients", "are", "with", "self", "pay", "insurance", "and", "have", "undergone", "the", "procedure", "open", "biopsy", "of", "soft", "tissue", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"INSURANCE\"", "=", "\"Self", "Pay\"", "AND", "PROCEDURES.\"LONG_TITLE\"", "=", "\"Open", "biopsy", "of", "soft", "tissue\""]}
{"key": "83aba8eb2a1e70c5aa47f1b33c3fe82f", "format": {"table": [0, 2], "cond": [[0, 11, 0, "Self Pay"], [2, 4, 0, "Other unilateral salpingo-oophorectomy"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "provide the number of self pay insurance patients who had other unilateral salpingo-oophorectomy.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"INSURANCE\" = \"Self Pay\" AND PROCEDURES.\"LONG_TITLE\" = \"Other unilateral salpingo-oophorectomy\"", "question_refine_tok": ["provide", "the", "number", "of", "self", "pay", "insurance", "patients", "who", "had", "other", "unilateral", "salpingo", "-", "oophorectomy", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"INSURANCE\"", "=", "\"Self", "Pay\"", "AND", "PROCEDURES.\"LONG_TITLE\"", "=", "\"Other", "unilateral", "salpingo-oophorectomy\""]}
{"key": "3acd04f56bd59cc5835f94aaa2f8216a", "format": {"table": [0, 4], "cond": [[0, 11, 0, "Medicare"], [4, 6, 0, "Albumin/Creatinine, Urine"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients have a medicare insurance with a lab test name albumin/creatinine, urine?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"INSURANCE\" = \"Medicare\" AND LAB.\"LABEL\" = \"Albumin/Creatinine, Urine\"", "question_refine_tok": ["how", "many", "patients", "have", "a", "medicare", "insurance", "with", "a", "lab", "test", "name", "albumin", "/", "creatinine", ",", "urine", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"INSURANCE\"", "=", "\"Medicare\"", "AND", "LAB.\"LABEL\"", "=", "\"Albumin/Creatinine,", "Urine\""]}
{"key": "19e04a82bc85aeeb2f9cdd66fb895990", "format": {"table": [0, 4], "cond": [[0, 11, 0, "Medicare"], [4, 6, 0, "Reticulocyte Count, Automated"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients are with medicare insurance and with lab test automated reticulocyte count ?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"INSURANCE\" = \"Medicare\" AND LAB.\"LABEL\" = \"Reticulocyte Count, Automated\"", "question_refine_tok": ["how", "many", "patients", "are", "with", "medicare", "insurance", "and", "with", "lab", "test", "automated", "reticulocyte", "count", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"INSURANCE\"", "=", "\"Medicare\"", "AND", "LAB.\"LABEL\"", "=", "\"Reticulocyte", "Count,", "Automated\""]}
{"key": "faf45943b90f4ae99ba001bd318f8c53", "format": {"table": [0], "cond": [[0, 12, 0, "BLACK/CAPE VERDEAN"], [0, 16, 0, "AORTIC VALVE INSUFFIENCY\\AORTIC VALVE REPLACEMENT /SDA"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of black/cape verdean patients who have aortic valve insufficiency/aortic valve replacement/sda primary disease.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ETHNICITY\" = \"BLACK/CAPE VERDEAN\" AND DEMOGRAPHIC.\"DIAGNOSIS\" = \"AORTIC VALVE INSUFFIENCY\\AORTIC VALVE REPLACEMENT /SDA\"", "question_refine_tok": ["count", "the", "number", "of", "black", "/", "cape", "verdean", "patients", "who", "have", "aortic", "valve", "insufficiency", "/", "aortic", "valve", "replacement", "/", "sda", "primary", "disease", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ETHNICITY\"", "=", "\"BLACK/CAPE", "VERDEAN\"", "AND", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"AORTIC", "VALVE", "INSUFFIENCY\\AORTIC", "VALVE", "REPLACEMENT", "/SDA\""]}
{"key": "cb98f4c6bd087e7b8206506c4c214ed1", "format": {"table": [0], "cond": [[0, 12, 0, "BLACK/AFRICAN AMERICAN"], [0, 4, 2, 80]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "get the number of black/african american patients who are under 80 years of age.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ETHNICITY\" = \"BLACK/AFRICAN AMERICAN\" AND DEMOGRAPHIC.\"AGE\" < \"80\"", "question_refine_tok": ["get", "the", "number", "of", "black", "/", "african", "american", "patients", "who", "are", "under", "80", "years", "of", "age", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ETHNICITY\"", "=", "\"BLACK/AFRICAN", "AMERICAN\"", "AND", "DEMOGRAPHIC.\"AGE\"", "<", "\"80\""]}
{"key": "d727f4594fb718a14b8cf7cd4995e5c1", "format": {"table": [0], "cond": [[0, 12, 0, "ASIAN"], [0, 4, 2, 47]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many asian patients are less than 47 years?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ETHNICITY\" = \"ASIAN\" AND DEMOGRAPHIC.\"AGE\" < \"47\"", "question_refine_tok": ["how", "many", "asian", "patients", "are", "less", "than", "47", "years", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ETHNICITY\"", "=", "\"ASIAN\"", "AND", "DEMOGRAPHIC.\"AGE\"", "<", "\"47\""]}
{"key": "d5ff49e45231ef5594b4fda278ae2184", "format": {"table": [0], "cond": [[0, 12, 0, "BLACK/AFRICAN AMERICAN"], [0, 10, 1, 0]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of black/african american patients who stayed in the hospital for 1 or more days.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ETHNICITY\" = \"BLACK/AFRICAN AMERICAN\" AND DEMOGRAPHIC.\"DAYS_STAY\" > \"0\"", "question_refine_tok": ["count", "the", "number", "of", "black", "/", "african", "american", "patients", "who", "stayed", "in", "the", "hospital", "for", "1", "or", "more", "days", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ETHNICITY\"", "=", "\"BLACK/AFRICAN", "AMERICAN\"", "AND", "DEMOGRAPHIC.\"DAYS_STAY\"", ">", "\"0\""]}
{"key": "fc0f9e241a8d95d5c90bce06e37ef94e", "format": {"table": [0], "cond": [[0, 12, 0, "WHITE - RUSSIAN"], [0, 18, 2, 2101]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients are with white - russian ethnicity and born before 2101?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ETHNICITY\" = \"WHITE - RUSSIAN\" AND DEMOGRAPHIC.\"DOB_YEAR\" < \"2101\"", "question_refine_tok": ["how", "many", "patients", "are", "with", "white", "-", "russian", "ethnicity", "and", "born", "before", "2101", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ETHNICITY\"", "=", "\"WHITE", "-", "RUSSIAN\"", "AND", "DEMOGRAPHIC.\"DOB_YEAR\"", "<", "\"2101\""]}
{"key": "b51be462226349b33f5a50ab05825910", "format": {"table": [0], "cond": [[0, 12, 0, "WHITE - RUSSIAN"], [0, 18, 2, 1846]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "find the number of ethnically white-russian patients born before the year 1846.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ETHNICITY\" = \"WHITE - RUSSIAN\" AND DEMOGRAPHIC.\"DOB_YEAR\" < \"1846\"", "question_refine_tok": ["find", "the", "number", "of", "ethnically", "white", "-", "russian", "patients", "born", "before", "the", "year", "1846", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ETHNICITY\"", "=", "\"WHITE", "-", "RUSSIAN\"", "AND", "DEMOGRAPHIC.\"DOB_YEAR\"", "<", "\"1846\""]}
{"key": "e5ce8c035546cf1a53e4f29488ec4d5e", "format": {"table": [0], "cond": [[0, 12, 0, "HISPANIC OR LATINO"], [0, 18, 2, 2109]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "provide the number of patients whose ethnicity is hispanic or latino and who were born before the year 2109.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ETHNICITY\" = \"HISPANIC OR LATINO\" AND DEMOGRAPHIC.\"DOB_YEAR\" < \"2109\"", "question_refine_tok": ["provide", "the", "number", "of", "patients", "whose", "ethnicity", "is", "hispanic", "or", "latino", "and", "who", "were", "born", "before", "the", "year", "2109", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ETHNICITY\"", "=", "\"HISPANIC", "OR", "LATINO\"", "AND", "DEMOGRAPHIC.\"DOB_YEAR\"", "<", "\"2109\""]}
{"key": "ccb4e4fc6b58520fdfe032873be71825", "format": {"table": [0], "cond": [[0, 12, 0, "HISPANIC/LATINO - PUERTO RICAN"], [0, 18, 2, 2200]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "find the number of hispanic/latino-puerto rican patients who were born before 2200.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ETHNICITY\" = \"HISPANIC/LATINO - PUERTO RICAN\" AND DEMOGRAPHIC.\"DOB_YEAR\" < \"2200\"", "question_refine_tok": ["find", "the", "number", "of", "hispanic", "/", "latino", "-", "puerto", "rican", "patients", "who", "were", "born", "before", "2200", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ETHNICITY\"", "=", "\"HISPANIC/LATINO", "-", "PUERTO", "RICAN\"", "AND", "DEMOGRAPHIC.\"DOB_YEAR\"", "<", "\"2200\""]}
{"key": "511ffd696cbc49848fbd58e6528f56cd", "format": {"table": [0], "cond": [[0, 12, 0, "ASIAN"], [0, 19, 4, 2148.0]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "give the number of patients whose ethnicity is asian and who have died in or before year 2148.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ETHNICITY\" = \"ASIAN\" AND DEMOGRAPHIC.\"DOD_YEAR\" <= \"2148.0\"", "question_refine_tok": ["give", "the", "number", "of", "patients", "whose", "ethnicity", "is", "asian", "and", "who", "have", "died", "in", "or", "before", "year", "2148", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ETHNICITY\"", "=", "\"ASIAN\"", "AND", "DEMOGRAPHIC.\"DOD_YEAR\"", "<=", "\"2148.0\""]}
{"key": "2362228a30eaa8948f4bbc84e34dc0a6", "format": {"table": [0], "cond": [[0, 12, 0, "AMERICAN INDIAN/ALASKA NATIVE"], [0, 22, 2, 2139]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "get the number of american indian/alaska native patients who were admitted before 2139.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ETHNICITY\" = \"AMERICAN INDIAN/ALASKA NATIVE\" AND DEMOGRAPHIC.\"ADMITYEAR\" < \"2139\"", "question_refine_tok": ["get", "the", "number", "of", "american", "indian", "/", "alaska", "native", "patients", "who", "were", "admitted", "before", "2139", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ETHNICITY\"", "=", "\"AMERICAN", "INDIAN/ALASKA", "NATIVE\"", "AND", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2139\""]}
{"key": "4b0397ddb5f2bbde620e81cedd1b9a7e", "format": {"table": [0], "cond": [[0, 12, 0, "AMERICAN INDIAN/ALASKA NATIVE"], [0, 22, 2, 2144]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients are under american indian/alaska native ethnicity and admitted before the year 2144?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ETHNICITY\" = \"AMERICAN INDIAN/ALASKA NATIVE\" AND DEMOGRAPHIC.\"ADMITYEAR\" < \"2144\"", "question_refine_tok": ["how", "many", "patients", "are", "under", "american", "indian", "/", "alaska", "native", "ethnicity", "and", "admitted", "before", "the", "year", "2144", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ETHNICITY\"", "=", "\"AMERICAN", "INDIAN/ALASKA", "NATIVE\"", "AND", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2144\""]}
{"key": "35b737f5e83b39a26567716ab9ae880f", "format": {"table": [0, 1], "cond": [[0, 12, 0, "WHITE"], [1, 2, 0, "7069"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients of white ethnicty were diagnosed under icd9 code 7069?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"ETHNICITY\" = \"WHITE\" AND DIAGNOSES.\"ICD9_CODE\" = \"7069\"", "question_refine_tok": ["how", "many", "patients", "of", "white", "ethnicty", "were", "diagnosed", "under", "icd9", "code", "7069", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ETHNICITY\"", "=", "\"WHITE\"", "AND", "DIAGNOSES.\"ICD9_CODE\"", "=", "\"7069\""]}
{"key": "ac2ef63b4d7ebc1d3f0e18d97edcf5fe", "format": {"table": [0, 1], "cond": [[0, 12, 0, "HISPANIC OR LATINO"], [1, 3, 0, "Crbl art ocl NOS w infrc"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "out of total number of patients diagnosed with crbl art ocl nos w infrc, how many of them belonged to hispanic or latino ethnic origin?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"ETHNICITY\" = \"HISPANIC OR LATINO\" AND DIAGNOSES.\"SHORT_TITLE\" = \"Crbl art ocl NOS w infrc\"", "question_refine_tok": ["out", "of", "total", "number", "of", "patients", "diagnosed", "with", "crbl", "art", "ocl", "nos", "w", "infrc", ",", "how", "many", "of", "them", "belonged", "to", "hispanic", "or", "latino", "ethnic", "origin", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ETHNICITY\"", "=", "\"HISPANIC", "OR", "LATINO\"", "AND", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"Crbl", "art", "ocl", "NOS", "w", "infrc\""]}
{"key": "c1f14f3ff81a9ae21e3eaad790d7d81c", "format": {"table": [0, 1], "cond": [[0, 12, 0, "WHITE"], [1, 3, 0, "Retain plastic fragments"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "give me the number of patients of white ethnicity diagnosed for retained plastic fragments.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"ETHNICITY\" = \"WHITE\" AND DIAGNOSES.\"SHORT_TITLE\" = \"Retain plastic fragments\"", "question_refine_tok": ["give", "me", "the", "number", "of", "patients", "of", "white", "ethnicity", "diagnosed", "for", "retained", "plastic", "fragments", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ETHNICITY\"", "=", "\"WHITE\"", "AND", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"Retain", "plastic", "fragments\""]}
{"key": "724258cea2980fb0ae2b0b7ee15869be", "format": {"table": [0, 1], "cond": [[0, 12, 0, "ASIAN"], [1, 3, 0, "Suicidal ideation"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many asian patients had the diagnosis short title suicidal ideation?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"ETHNICITY\" = \"ASIAN\" AND DIAGNOSES.\"SHORT_TITLE\" = \"Suicidal ideation\"", "question_refine_tok": ["how", "many", "asian", "patients", "had", "the", "diagnosis", "short", "title", "suicidal", "ideation", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ETHNICITY\"", "=", "\"ASIAN\"", "AND", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"Suicidal", "ideation\""]}
{"key": "ad1f4c01cb3b6ee1add51231944b2096", "format": {"table": [0, 1], "cond": [[0, 12, 0, "WHITE"], [1, 4, 0, "Mechanical complication due to other implant and internal device, not elsewhere classified"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many white ethnic background patients are diagnosed with mechanical complication due to other implant and internal device, not elsewhere classified?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"ETHNICITY\" = \"WHITE\" AND DIAGNOSES.\"LONG_TITLE\" = \"Mechanical complication due to other implant and internal device, not elsewhere classified\"", "question_refine_tok": ["how", "many", "white", "ethnic", "background", "patients", "are", "diagnosed", "with", "mechanical", "complication", "due", "to", "other", "implant", "and", "internal", "device", ",", "not", "elsewhere", "classified", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ETHNICITY\"", "=", "\"WHITE\"", "AND", "DIAGNOSES.\"LONG_TITLE\"", "=", "\"Mechanical", "complication", "due", "to", "other", "implant", "and", "internal", "device,", "not", "elsewhere", "classified\""]}
{"key": "6228fcc66389f1c036f5b3bf782c38aa", "format": {"table": [0, 1], "cond": [[0, 12, 0, "ASIAN"], [1, 4, 0, "Major depressive affective disorder, single episode, unspecified"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many asian patients have the diagnoses titled major depressive affective disorder, single episode, unspecified?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"ETHNICITY\" = \"ASIAN\" AND DIAGNOSES.\"LONG_TITLE\" = \"Major depressive affective disorder, single episode, unspecified\"", "question_refine_tok": ["how", "many", "asian", "patients", "have", "the", "diagnoses", "titled", "major", "depressive", "affective", "disorder", ",", "single", "episode", ",", "unspecified", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ETHNICITY\"", "=", "\"ASIAN\"", "AND", "DIAGNOSES.\"LONG_TITLE\"", "=", "\"Major", "depressive", "affective", "disorder,", "single", "episode,", "unspecified\""]}
{"key": "15324b051443c88ff0a569cd824dfb1e", "format": {"table": [0, 1], "cond": [[0, 12, 0, "WHITE - RUSSIAN"], [1, 4, 0, "Unspecified septicemia"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients are with white russian ethnicty and diagnosed with unspecified septicemia?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"ETHNICITY\" = \"WHITE - RUSSIAN\" AND DIAGNOSES.\"LONG_TITLE\" = \"Unspecified septicemia\"", "question_refine_tok": ["how", "many", "patients", "are", "with", "white", "russian", "ethnicty", "and", "diagnosed", "with", "unspecified", "septicemia", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ETHNICITY\"", "=", "\"WHITE", "-", "RUSSIAN\"", "AND", "DIAGNOSES.\"LONG_TITLE\"", "=", "\"Unspecified", "septicemia\""]}
{"key": "a1c27c7de161b911bb766d21c771122f", "format": {"table": [0, 1], "cond": [[0, 12, 0, "WHITE"], [1, 4, 0, "Panic disorder without agoraphobia"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of patients with white ethnicity and diagnosed for panic disorder without agoraphobia?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"ETHNICITY\" = \"WHITE\" AND DIAGNOSES.\"LONG_TITLE\" = \"Panic disorder without agoraphobia\"", "question_refine_tok": ["what", "is", "the", "number", "of", "patients", "with", "white", "ethnicity", "and", "diagnosed", "for", "panic", "disorder", "without", "agoraphobia", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ETHNICITY\"", "=", "\"WHITE\"", "AND", "DIAGNOSES.\"LONG_TITLE\"", "=", "\"Panic", "disorder", "without", "agoraphobia\""]}
{"key": "7cacda703cc1d00f67982cee702ca660", "format": {"table": [0, 2], "cond": [[0, 12, 0, "HISPANIC OR LATINO"], [2, 2, 0, 3950]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients are with hispanic or latino ethinicity with icd9 code 3950?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"ETHNICITY\" = \"HISPANIC OR LATINO\" AND PROCEDURES.\"ICD9_CODE\" = \"3950\"", "question_refine_tok": ["how", "many", "patients", "are", "with", "hispanic", "or", "latino", "ethinicity", "with", "icd9", "code", "3950", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ETHNICITY\"", "=", "\"HISPANIC", "OR", "LATINO\"", "AND", "PROCEDURES.\"ICD9_CODE\"", "=", "\"3950\""]}
{"key": "f8c6fbb3b66365595c3abb987a3d4996", "format": {"table": [0, 2], "cond": [[0, 12, 0, "HISPANIC OR LATINO"], [2, 3, 0, "Closed liver biopsy"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many of the patients from hispanic or latino origin had closed liver biopsy?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"ETHNICITY\" = \"HISPANIC OR LATINO\" AND PROCEDURES.\"SHORT_TITLE\" = \"Closed liver biopsy\"", "question_refine_tok": ["how", "many", "of", "the", "patients", "from", "hispanic", "or", "latino", "origin", "had", "closed", "liver", "biopsy", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ETHNICITY\"", "=", "\"HISPANIC", "OR", "LATINO\"", "AND", "PROCEDURES.\"SHORT_TITLE\"", "=", "\"Closed", "liver", "biopsy\""]}
{"key": "b9f130f2658cd96982cb2cbed2d9c224", "format": {"table": [0, 2], "cond": [[0, 12, 0, "ASIAN"], [2, 3, 0, "Open reduc-int fix femur"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of asian patients who had open reduction of femur fracture with internal rotation?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"ETHNICITY\" = \"ASIAN\" AND PROCEDURES.\"SHORT_TITLE\" = \"Open reduc-int fix femur\"", "question_refine_tok": ["what", "is", "the", "number", "of", "asian", "patients", "who", "had", "open", "reduction", "of", "femur", "fracture", "with", "internal", "rotation", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ETHNICITY\"", "=", "\"ASIAN\"", "AND", "PROCEDURES.\"SHORT_TITLE\"", "=", "\"Open", "reduc-int", "fix", "femur\""]}
{"key": "325bf2df7dd30fa95fe54626f01cc6f6", "format": {"table": [0, 2], "cond": [[0, 12, 0, "BLACK/AFRICAN AMERICAN"], [2, 3, 0, "Radiotherapeut proc NEC"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of black/african american patients who have undergone the procedure with short title radiotherapeut proc nec?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"ETHNICITY\" = \"BLACK/AFRICAN AMERICAN\" AND PROCEDURES.\"SHORT_TITLE\" = \"Radiotherapeut proc NEC\"", "question_refine_tok": ["what", "is", "the", "number", "of", "black", "/", "african", "american", "patients", "who", "have", "undergone", "the", "procedure", "with", "short", "title", "radiotherapeut", "proc", "nec", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ETHNICITY\"", "=", "\"BLACK/AFRICAN", "AMERICAN\"", "AND", "PROCEDURES.\"SHORT_TITLE\"", "=", "\"Radiotherapeut", "proc", "NEC\""]}
{"key": "6e28d7c976e2be2533293daa0422dccd", "format": {"table": [0, 2], "cond": [[0, 12, 0, "HISPANIC OR LATINO"], [2, 4, 0, "Other phototherapy"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "provide the number of patients whose ethnicity is hispanic or latino and procedure is titled other phototherapy.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"ETHNICITY\" = \"HISPANIC OR LATINO\" AND PROCEDURES.\"LONG_TITLE\" = \"Other phototherapy\"", "question_refine_tok": ["provide", "the", "number", "of", "patients", "whose", "ethnicity", "is", "hispanic", "or", "latino", "and", "procedure", "is", "titled", "other", "phototherapy", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ETHNICITY\"", "=", "\"HISPANIC", "OR", "LATINO\"", "AND", "PROCEDURES.\"LONG_TITLE\"", "=", "\"Other", "phototherapy\""]}
{"key": "7cb30b7cd3f4bac9c6e7535663015b55", "format": {"table": [0, 3], "cond": [[0, 12, 0, "WHITE - RUSSIAN"], [3, 4, 0, "Epoetin Alfa"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients are with white-russian ethnicity and treated with drug epoetin alfa?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"ETHNICITY\" = \"WHITE - RUSSIAN\" AND PRESCRIPTIONS.\"DRUG\" = \"Epoetin Alfa\"", "question_refine_tok": ["how", "many", "patients", "are", "with", "white", "-", "russian", "ethnicity", "and", "treated", "with", "drug", "epoetin", "alfa", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ETHNICITY\"", "=", "\"WHITE", "-", "RUSSIAN\"", "AND", "PRESCRIPTIONS.\"DRUG\"", "=", "\"Epoetin", "Alfa\""]}
{"key": "f8cbe2fa84d2dbe58e5c8e84939f4191", "format": {"table": [0, 3], "cond": [[0, 12, 0, "HISPANIC/LATINO - PUERTO RICAN"], [3, 4, 0, "Sucralfate"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many hispanic/latino - puerto rican patients are on drug named sucralfate?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"ETHNICITY\" = \"HISPANIC/LATINO - PUERTO RICAN\" AND PRESCRIPTIONS.\"DRUG\" = \"Sucralfate\"", "question_refine_tok": ["how", "many", "hispanic", "/", "latino", "-", "puerto", "rican", "patients", "are", "on", "drug", "named", "sucralfate", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ETHNICITY\"", "=", "\"HISPANIC/LATINO", "-", "PUERTO", "RICAN\"", "AND", "PRESCRIPTIONS.\"DRUG\"", "=", "\"Sucralfate\""]}
{"key": "81f04767e8b6634b62a80b360f09947a", "format": {"table": [0, 3], "cond": [[0, 12, 0, "ASIAN"], [3, 4, 0, "Loperamide"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "provide the list of patients with asian ethnic background who are prescribed loperamide drug.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"ETHNICITY\" = \"ASIAN\" AND PRESCRIPTIONS.\"DRUG\" = \"Loperamide\"", "question_refine_tok": ["provide", "the", "list", "of", "patients", "with", "asian", "ethnic", "background", "who", "are", "prescribed", "loperamide", "drug", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ETHNICITY\"", "=", "\"ASIAN\"", "AND", "PRESCRIPTIONS.\"DRUG\"", "=", "\"Loperamide\""]}
{"key": "0541b195cdbb22afabbac580ac5de161", "format": {"table": [0, 3], "cond": [[0, 12, 0, "AMERICAN INDIAN/ALASKA NATIVE"], [3, 4, 0, "Magnesium Oxide"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of patients whose ethnicity is american indian/alaska native and was given the drug magnesium oxide.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"ETHNICITY\" = \"AMERICAN INDIAN/ALASKA NATIVE\" AND PRESCRIPTIONS.\"DRUG\" = \"Magnesium Oxide\"", "question_refine_tok": ["count", "the", "number", "of", "patients", "whose", "ethnicity", "is", "american", "indian", "/", "alaska", "native", "and", "was", "given", "the", "drug", "magnesium", "oxide", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ETHNICITY\"", "=", "\"AMERICAN", "INDIAN/ALASKA", "NATIVE\"", "AND", "PRESCRIPTIONS.\"DRUG\"", "=", "\"Magnesium", "Oxide\""]}
{"key": "dbffe50f46dd3d6d01cac133f6371eca", "format": {"table": [0, 3], "cond": [[0, 12, 0, "ASIAN"], [3, 4, 0, "Talc"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many asian patients have been prescribed the drug talc?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"ETHNICITY\" = \"ASIAN\" AND PRESCRIPTIONS.\"DRUG\" = \"Talc\"", "question_refine_tok": ["how", "many", "asian", "patients", "have", "been", "prescribed", "the", "drug", "talc", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ETHNICITY\"", "=", "\"ASIAN\"", "AND", "PRESCRIPTIONS.\"DRUG\"", "=", "\"Talc\""]}
{"key": "69dd41bfbfee5b1811c369c02623dce9", "format": {"table": [0, 3], "cond": [[0, 12, 0, "HISPANIC/LATINO - PUERTO RICAN"], [3, 4, 0, "Syringe"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many hispanic/latino - puerto rican was given the drug name syringe", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"ETHNICITY\" = \"HISPANIC/LATINO - PUERTO RICAN\" AND PRESCRIPTIONS.\"DRUG\" = \"Syringe\"", "question_refine_tok": ["how", "many", "hispanic", "/", "latino", "-", "puerto", "rican", "was", "given", "the", "drug", "name", "syringe"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ETHNICITY\"", "=", "\"HISPANIC/LATINO", "-", "PUERTO", "RICAN\"", "AND", "PRESCRIPTIONS.\"DRUG\"", "=", "\"Syringe\""]}
{"key": "25c414989e06db14d6eb781d1c5d7ce0", "format": {"table": [0, 3], "cond": [[0, 12, 0, "WHITE"], [3, 6, 0, "OU"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "give me the number of patients taking drug via ou route who belong to white ethnic background.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"ETHNICITY\" = \"WHITE\" AND PRESCRIPTIONS.\"ROUTE\" = \"OU\"", "question_refine_tok": ["give", "me", "the", "number", "of", "patients", "taking", "drug", "via", "ou", "route", "who", "belong", "to", "white", "ethnic", "background", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ETHNICITY\"", "=", "\"WHITE\"", "AND", "PRESCRIPTIONS.\"ROUTE\"", "=", "\"OU\""]}
{"key": "3320c6a99e9842921dde7dd74664776b", "format": {"table": [0, 3], "cond": [[0, 12, 0, "BLACK/HAITIAN"], [3, 6, 0, "ED"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many black/haitian patients had the drug route ed?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"ETHNICITY\" = \"BLACK/HAITIAN\" AND PRESCRIPTIONS.\"ROUTE\" = \"ED\"", "question_refine_tok": ["how", "many", "black", "/", "haitian", "patients", "had", "the", "drug", "route", "ed", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ETHNICITY\"", "=", "\"BLACK/HAITIAN\"", "AND", "PRESCRIPTIONS.\"ROUTE\"", "=", "\"ED\""]}
{"key": "efae20aa6e0ca27d65011795eb40967a", "format": {"table": [0, 4], "cond": [[0, 12, 0, "BLACK/CAPE VERDEAN"], [4, 6, 0, "Potassium, Urine"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "give the number of patients whose ethnicity is black/cape verdean and their lab test name is potassium ,urine.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"ETHNICITY\" = \"BLACK/CAPE VERDEAN\" AND LAB.\"LABEL\" = \"Potassium, Urine\"", "question_refine_tok": ["give", "the", "number", "of", "patients", "whose", "ethnicity", "is", "black", "/", "cape", "verdean", "and", "their", "lab", "test", "name", "is", "potassium", ",", "urine", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ETHNICITY\"", "=", "\"BLACK/CAPE", "VERDEAN\"", "AND", "LAB.\"LABEL\"", "=", "\"Potassium,", "Urine\""]}
{"key": "ffc18daeac06046ea5fc6babdb3831ef", "format": {"table": [0, 4], "cond": [[0, 12, 0, "BLACK/HAITIAN"], [4, 6, 0, "Parathyroid Hormone"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "find the number of black/haitian ethnic background patients who had parathyroid hormone lab test.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"ETHNICITY\" = \"BLACK/HAITIAN\" AND LAB.\"LABEL\" = \"Parathyroid Hormone\"", "question_refine_tok": ["find", "the", "number", "of", "black", "/", "haitian", "ethnic", "background", "patients", "who", "had", "parathyroid", "hormone", "lab", "test", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ETHNICITY\"", "=", "\"BLACK/HAITIAN\"", "AND", "LAB.\"LABEL\"", "=", "\"Parathyroid", "Hormone\""]}
{"key": "afcc954352a2ee2137b7f5718f6dd346", "format": {"table": [0, 4], "cond": [[0, 12, 0, "AMERICAN INDIAN/ALASKA NATIVE"], [4, 6, 0, "pCO2"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "provide the number of american indian/alaska native ethnic background patients who had pco2 lab test.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"ETHNICITY\" = \"AMERICAN INDIAN/ALASKA NATIVE\" AND LAB.\"LABEL\" = \"pCO2\"", "question_refine_tok": ["provide", "the", "number", "of", "american", "indian", "/", "alaska", "native", "ethnic", "background", "patients", "who", "had", "pco2", "lab", "test", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ETHNICITY\"", "=", "\"AMERICAN", "INDIAN/ALASKA", "NATIVE\"", "AND", "LAB.\"LABEL\"", "=", "\"pCO2\""]}
{"key": "74331294decfd34545fc4d522d0942b1", "format": {"table": [0, 4], "cond": [[0, 12, 0, "HISPANIC/LATINO - PUERTO RICAN"], [4, 6, 0, "Potassium, Whole Blood"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "find the number of hispanic/latino-puerto rican ethnic background patients who had whole blood potassium lab test.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"ETHNICITY\" = \"HISPANIC/LATINO - PUERTO RICAN\" AND LAB.\"LABEL\" = \"Potassium, Whole Blood\"", "question_refine_tok": ["find", "the", "number", "of", "hispanic", "/", "latino", "-", "puerto", "rican", "ethnic", "background", "patients", "who", "had", "whole", "blood", "potassium", "lab", "test", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ETHNICITY\"", "=", "\"HISPANIC/LATINO", "-", "PUERTO", "RICAN\"", "AND", "LAB.\"LABEL\"", "=", "\"Potassium,", "Whole", "Blood\""]}
{"key": "0500d868b3191e497659b5a87428f9bd", "format": {"table": [0, 4], "cond": [[0, 12, 0, "BLACK/AFRICAN AMERICAN"], [4, 6, 0, "Protein/Creatinine Ratio"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many black/ african american patients have done the lab test protein/creatinine ratio?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"ETHNICITY\" = \"BLACK/AFRICAN AMERICAN\" AND LAB.\"LABEL\" = \"Protein/Creatinine Ratio\"", "question_refine_tok": ["how", "many", "black/", "african", "american", "patients", "have", "done", "the", "lab", "test", "protein", "/", "creatinine", "ratio", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ETHNICITY\"", "=", "\"BLACK/AFRICAN", "AMERICAN\"", "AND", "LAB.\"LABEL\"", "=", "\"Protein/Creatinine", "Ratio\""]}
{"key": "87f92b14b677dda5d91b72538681e43b", "format": {"table": [0, 4], "cond": [[0, 12, 0, "WHITE"], [4, 6, 0, "Total Protein, Body Fluid"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "provide the number of white ethnic background patients for whom total protein, body fluid lab test has been ordered.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"ETHNICITY\" = \"WHITE\" AND LAB.\"LABEL\" = \"Total Protein, Body Fluid\"", "question_refine_tok": ["provide", "the", "number", "of", "white", "ethnic", "background", "patients", "for", "whom", "total", "protein", ",", "body", "fluid", "lab", "test", "has", "been", "ordered", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ETHNICITY\"", "=", "\"WHITE\"", "AND", "LAB.\"LABEL\"", "=", "\"Total", "Protein,", "Body", "Fluid\""]}
{"key": "2bfec19e436b9eeeed474af61be87c69", "format": {"table": [0], "cond": [[0, 13, 0, 1], [0, 16, 0, "AORTIC VALVE INSUFFIENCY\\AORTIC VALVE REPLACEMENT /SDA"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients with death status 1 had primary disease as aortic valve insuffiency\\aortic valve replacement /sda?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"EXPIRE_FLAG\" = \"1\" AND DEMOGRAPHIC.\"DIAGNOSIS\" = \"AORTIC VALVE INSUFFIENCY\\AORTIC VALVE REPLACEMENT /SDA\"", "question_refine_tok": ["how", "many", "patients", "with", "death", "status", "1", "had", "primary", "disease", "as", "aortic", "valve", "insuffiency\\aortic", "valve", "replacement", "/sda", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"EXPIRE_FLAG\"", "=", "\"1\"", "AND", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"AORTIC", "VALVE", "INSUFFIENCY\\AORTIC", "VALVE", "REPLACEMENT", "/SDA\""]}
{"key": "f0d27880d8c7543f16fa7a3966ce7d42", "format": {"table": [0], "cond": [[0, 13, 0, 1], [0, 16, 0, "COLANGITIS"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "give the number of patients whose death status is 1 and primary disease is colangitis.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"EXPIRE_FLAG\" = \"1\" AND DEMOGRAPHIC.\"DIAGNOSIS\" = \"COLANGITIS\"", "question_refine_tok": ["give", "the", "number", "of", "patients", "whose", "death", "status", "is", "1", "and", "primary", "disease", "is", "colangitis", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"EXPIRE_FLAG\"", "=", "\"1\"", "AND", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"COLANGITIS\""]}
{"key": "4374b40462f878ae198421540b8e5c45", "format": {"table": [0], "cond": [[0, 13, 0, 1], [0, 16, 0, "FEMORAL ARTERY THROMBOSIS"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "calculate the total number of patients who have died and had femoral artery thrombosis as primary disease.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"EXPIRE_FLAG\" = \"1\" AND DEMOGRAPHIC.\"DIAGNOSIS\" = \"FEMORAL ARTERY THROMBOSIS\"", "question_refine_tok": ["calculate", "the", "total", "number", "of", "patients", "who", "have", "died", "and", "had", "femoral", "artery", "thrombosis", "as", "primary", "disease", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"EXPIRE_FLAG\"", "=", "\"1\"", "AND", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"FEMORAL", "ARTERY", "THROMBOSIS\""]}
{"key": "b9a6c4b77ff9066f1b9dc48e8634c29d", "format": {"table": [0], "cond": [[0, 13, 0, 1], [0, 10, 1, 26]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of patients whose death status is 1 and hospital stay is above 26 days?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"EXPIRE_FLAG\" = \"1\" AND DEMOGRAPHIC.\"DAYS_STAY\" > \"26\"", "question_refine_tok": ["what", "is", "the", "number", "of", "patients", "whose", "death", "status", "is", "1", "and", "hospital", "stay", "is", "above", "26", "days", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"EXPIRE_FLAG\"", "=", "\"1\"", "AND", "DEMOGRAPHIC.\"DAYS_STAY\"", ">", "\"26\""]}
{"key": "5d9625801cb27f5a15b84e62620ab031", "format": {"table": [0], "cond": [[0, 13, 0, 1], [0, 18, 2, 2085]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many of the patients born in the year less than 2085 have died?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"EXPIRE_FLAG\" = \"1\" AND DEMOGRAPHIC.\"DOB_YEAR\" < \"2085\"", "question_refine_tok": ["how", "many", "of", "the", "patients", "born", "in", "the", "year", "less", "than", "2085", "have", "died", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"EXPIRE_FLAG\"", "=", "\"1\"", "AND", "DEMOGRAPHIC.\"DOB_YEAR\"", "<", "\"2085\""]}
{"key": "dbb0b8f5ee992d18a3e42854db2d6057", "format": {"table": [0], "cond": [[0, 13, 0, 1], [0, 18, 2, 2090]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many of the patients born in the year less than 2090 have confirmed death status?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"EXPIRE_FLAG\" = \"1\" AND DEMOGRAPHIC.\"DOB_YEAR\" < \"2090\"", "question_refine_tok": ["how", "many", "of", "the", "patients", "born", "in", "the", "year", "less", "than", "2090", "have", "confirmed", "death", "status", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"EXPIRE_FLAG\"", "=", "\"1\"", "AND", "DEMOGRAPHIC.\"DOB_YEAR\"", "<", "\"2090\""]}
{"key": "2d6471f40bd4b958d9d7a3b783295010", "format": {"table": [0], "cond": [[0, 13, 0, 1], [0, 18, 2, 2097]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "get the number of dead patients who were born before 2097.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"EXPIRE_FLAG\" = \"1\" AND DEMOGRAPHIC.\"DOB_YEAR\" < \"2097\"", "question_refine_tok": ["get", "the", "number", "of", "dead", "patients", "who", "were", "born", "before", "2097", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"EXPIRE_FLAG\"", "=", "\"1\"", "AND", "DEMOGRAPHIC.\"DOB_YEAR\"", "<", "\"2097\""]}
{"key": "5d4e5ba550f88908e98e89b3cfd43d82", "format": {"table": [0, 1], "cond": [[0, 13, 0, 0], [1, 2, 0, "78052"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many of the patients with icd9 code 78052 has an unspecified death status?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"EXPIRE_FLAG\" = \"0\" AND DIAGNOSES.\"ICD9_CODE\" = \"78052\"", "question_refine_tok": ["how", "many", "of", "the", "patients", "with", "icd9", "code", "78052", "has", "an", "unspecified", "death", "status", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"EXPIRE_FLAG\"", "=", "\"0\"", "AND", "DIAGNOSES.\"ICD9_CODE\"", "=", "\"78052\""]}
{"key": "36196b3f702c2f62089e5a374a5523ce", "format": {"table": [0, 1], "cond": [[0, 13, 0, 0], [1, 2, 0, "V4986"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of patients who are alive and have diagnosis icd9 code v4986.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"EXPIRE_FLAG\" = \"0\" AND DIAGNOSES.\"ICD9_CODE\" = \"V4986\"", "question_refine_tok": ["count", "the", "number", "of", "patients", "who", "are", "alive", "and", "have", "diagnosis", "icd9", "code", "v4986", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"EXPIRE_FLAG\"", "=", "\"0\"", "AND", "DIAGNOSES.\"ICD9_CODE\"", "=", "\"V4986\""]}
{"key": "fefa8137003afb784658ea5b1476d506", "format": {"table": [0, 1], "cond": [[0, 13, 0, 1], [1, 2, 0, "53550"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is total number of such patients who were diagnosed with icd9 code 53550 and died?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"EXPIRE_FLAG\" = \"1\" AND DIAGNOSES.\"ICD9_CODE\" = \"53550\"", "question_refine_tok": ["what", "is", "total", "number", "of", "such", "patients", "who", "were", "diagnosed", "with", "icd9", "code", "53550", "and", "died", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"EXPIRE_FLAG\"", "=", "\"1\"", "AND", "DIAGNOSES.\"ICD9_CODE\"", "=", "\"53550\""]}
{"key": "b1e4c31a3d30b87c2d80ddcb94818cbe", "format": {"table": [0, 1], "cond": [[0, 13, 0, 0], [1, 2, 0, "99662"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "provide the number of patients whose death status is 0 and diagnosis icd9 code is 99662.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"EXPIRE_FLAG\" = \"0\" AND DIAGNOSES.\"ICD9_CODE\" = \"99662\"", "question_refine_tok": ["provide", "the", "number", "of", "patients", "whose", "death", "status", "is", "0", "and", "diagnosis", "icd9", "code", "is", "99662", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"EXPIRE_FLAG\"", "=", "\"0\"", "AND", "DIAGNOSES.\"ICD9_CODE\"", "=", "\"99662\""]}
{"key": "50f0bc50f78462bb7f465c91bfc37445", "format": {"table": [0, 1], "cond": [[0, 13, 0, 1], [1, 3, 0, "Alcoh dep NEC/NOS-unspec"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "give the number of patients whose diagnoses title is alcoh dep nec/nos-unspec and death staus is 1. ", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"EXPIRE_FLAG\" = \"1\" AND DIAGNOSES.\"SHORT_TITLE\" = \"Alcoh dep NEC/NOS-unspec\"", "question_refine_tok": ["give", "the", "number", "of", "patients", "whose", "diagnoses", "title", "is", "alcoh", "dep", "nec", "/", "nos", "-", "unspec", "and", "death", "staus", "is", "1", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"EXPIRE_FLAG\"", "=", "\"1\"", "AND", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"Alcoh", "dep", "NEC/NOS-unspec\""]}
{"key": "fe665a2bff3e2c83b6900e082e234907", "format": {"table": [0, 1], "cond": [[0, 13, 0, 1], [1, 3, 0, "Meth sus pneum d/t Staph"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many dead patients had diagnoses of methicillin susceptible pneumonia due to staphylococcus aureus?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"EXPIRE_FLAG\" = \"1\" AND DIAGNOSES.\"SHORT_TITLE\" = \"Meth sus pneum d/t Staph\"", "question_refine_tok": ["how", "many", "dead", "patients", "had", "diagnoses", "of", "methicillin", "susceptible", "pneumonia", "due", "to", "staphylococcus", "aureus", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"EXPIRE_FLAG\"", "=", "\"1\"", "AND", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"Meth", "sus", "pneum", "d/t", "Staph\""]}
{"key": "e2025175d71392a8fceb94b507d7c227", "format": {"table": [0, 1], "cond": [[0, 13, 0, 1], [1, 3, 0, "Esophageal reflux"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many dead patients were diagnosed with esophageal reflux?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"EXPIRE_FLAG\" = \"1\" AND DIAGNOSES.\"SHORT_TITLE\" = \"Esophageal reflux\"", "question_refine_tok": ["how", "many", "dead", "patients", "were", "diagnosed", "with", "esophageal", "reflux", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"EXPIRE_FLAG\"", "=", "\"1\"", "AND", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"Esophageal", "reflux\""]}
{"key": "529e0793168110e1a028bdefe02e65e4", "format": {"table": [0, 1], "cond": [[0, 13, 0, 1], [1, 4, 0, "Other persistent mental disorders due to conditions classified elsewhere"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what number of patients diagnosed with other persistent mental disorders due to conditions classified elsewhere had death staus as 1?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"EXPIRE_FLAG\" = \"1\" AND DIAGNOSES.\"LONG_TITLE\" = \"Other persistent mental disorders due to conditions classified elsewhere\"", "question_refine_tok": ["what", "number", "of", "patients", "diagnosed", "with", "other", "persistent", "mental", "disorders", "due", "to", "conditions", "classified", "elsewhere", "had", "death", "staus", "as", "1", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"EXPIRE_FLAG\"", "=", "\"1\"", "AND", "DIAGNOSES.\"LONG_TITLE\"", "=", "\"Other", "persistent", "mental", "disorders", "due", "to", "conditions", "classified", "elsewhere\""]}
{"key": "52d9d9c4ce66232bdb1863482153b197", "format": {"table": [0, 1], "cond": [[0, 13, 0, 1], [1, 4, 0, "Contusion of face, scalp, and neck except eye(s)"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "give the number of patients whose death status is 1 and diagnosis long title is contusion of face, scalp, and neck except eye(s).", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"EXPIRE_FLAG\" = \"1\" AND DIAGNOSES.\"LONG_TITLE\" = \"Contusion of face, scalp, and neck except eye(s)\"", "question_refine_tok": ["give", "the", "number", "of", "patients", "whose", "death", "status", "is", "1", "and", "diagnosis", "long", "title", "is", "contusion", "of", "face", ",", "scalp", ",", "and", "neck", "except", "eye(s", ")", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"EXPIRE_FLAG\"", "=", "\"1\"", "AND", "DIAGNOSES.\"LONG_TITLE\"", "=", "\"Contusion", "of", "face,", "scalp,", "and", "neck", "except", "eye(s)\""]}
{"key": "dce987b6f81fbe7dfeaebaf0e569257c", "format": {"table": [0, 1], "cond": [[0, 13, 0, 1], [1, 4, 0, "Tietze's disease"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of patients whose death status is 1 and diagnosis long title is tietze's disease.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"EXPIRE_FLAG\" = \"1\" AND DIAGNOSES.\"LONG_TITLE\" = \"Tietze's disease\"", "question_refine_tok": ["count", "the", "number", "of", "patients", "whose", "death", "status", "is", "1", "and", "diagnosis", "long", "title", "is", "tietze", "'s", "disease", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"EXPIRE_FLAG\"", "=", "\"1\"", "AND", "DIAGNOSES.\"LONG_TITLE\"", "=", "\"Tietze's", "disease\""]}
{"key": "9b6efb5891024062f57142f2a4988679", "format": {"table": [0, 1], "cond": [[0, 13, 0, 0], [1, 4, 0, "Tobacco use disorder"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "find the number of patients who were diagnosed with tobacco use disorder and their death status is 0.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"EXPIRE_FLAG\" = \"0\" AND DIAGNOSES.\"LONG_TITLE\" = \"Tobacco use disorder\"", "question_refine_tok": ["find", "the", "number", "of", "patients", "who", "were", "diagnosed", "with", "tobacco", "use", "disorder", "and", "their", "death", "status", "is", "0", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"EXPIRE_FLAG\"", "=", "\"0\"", "AND", "DIAGNOSES.\"LONG_TITLE\"", "=", "\"Tobacco", "use", "disorder\""]}
{"key": "f2a964ffe909e9d1a45b95863756abd3", "format": {"table": [0, 2], "cond": [[0, 13, 0, 0], [2, 2, 0, 540]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many living patients have procedure icd9 code 540?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"EXPIRE_FLAG\" = \"0\" AND PROCEDURES.\"ICD9_CODE\" = \"540\"", "question_refine_tok": ["how", "many", "living", "patients", "have", "procedure", "icd9", "code", "540", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"EXPIRE_FLAG\"", "=", "\"0\"", "AND", "PROCEDURES.\"ICD9_CODE\"", "=", "\"540\""]}
{"key": "fb70556565ecf5540a303cbe5fc3b81e", "format": {"table": [0, 2], "cond": [[0, 13, 0, 0], [2, 2, 0, 4513]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many of the patients with icd9 code 4513 have unspecified death status", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"EXPIRE_FLAG\" = \"0\" AND PROCEDURES.\"ICD9_CODE\" = \"4513\"", "question_refine_tok": ["how", "many", "of", "the", "patients", "with", "icd9", "code", "4513", "have", "unspecified", "death", "status"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"EXPIRE_FLAG\"", "=", "\"0\"", "AND", "PROCEDURES.\"ICD9_CODE\"", "=", "\"4513\""]}
{"key": "69ad47bdf1d39556b7d223d99ef6e545", "format": {"table": [0, 2], "cond": [[0, 13, 0, 0], [2, 2, 0, 3512]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many alive patients have the procedure icd9 code 3152?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"EXPIRE_FLAG\" = \"0\" AND PROCEDURES.\"ICD9_CODE\" = \"3512\"", "question_refine_tok": ["how", "many", "alive", "patients", "have", "the", "procedure", "icd9", "code", "3152", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"EXPIRE_FLAG\"", "=", "\"0\"", "AND", "PROCEDURES.\"ICD9_CODE\"", "=", "\"3512\""]}
{"key": "049d61d860667e76709955acab81ca32", "format": {"table": [0, 2], "cond": [[0, 13, 0, 0], [2, 4, 0, "Fiber-optic bronchoscopy"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "find the number of patients who had procedure titled fiber-optic bronchoscopy and their death status is 0.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"EXPIRE_FLAG\" = \"0\" AND PROCEDURES.\"LONG_TITLE\" = \"Fiber-optic bronchoscopy\"", "question_refine_tok": ["find", "the", "number", "of", "patients", "who", "had", "procedure", "titled", "fiber", "-", "optic", "bronchoscopy", "and", "their", "death", "status", "is", "0", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"EXPIRE_FLAG\"", "=", "\"0\"", "AND", "PROCEDURES.\"LONG_TITLE\"", "=", "\"Fiber-optic", "bronchoscopy\""]}
{"key": "e8d8d27f92ae1a4d1d0ba8b93dd1dd7c", "format": {"table": [0, 3], "cond": [[0, 13, 0, 1], [3, 4, 0, "Baclofen"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "provide the number of patients whose death status is 1 with a drug name baclofen.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"EXPIRE_FLAG\" = \"1\" AND PRESCRIPTIONS.\"DRUG\" = \"Baclofen\"", "question_refine_tok": ["provide", "the", "number", "of", "patients", "whose", "death", "status", "is", "1", "with", "a", "drug", "name", "baclofen", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"EXPIRE_FLAG\"", "=", "\"1\"", "AND", "PRESCRIPTIONS.\"DRUG\"", "=", "\"Baclofen\""]}
{"key": "cc3f91d00331f0516534c9930df0a098", "format": {"table": [0, 3], "cond": [[0, 13, 0, 1], [3, 4, 0, "Ondansetron ODT"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many dead patients had ondansetron odt medication prescription?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"EXPIRE_FLAG\" = \"1\" AND PRESCRIPTIONS.\"DRUG\" = \"Ondansetron ODT\"", "question_refine_tok": ["how", "many", "dead", "patients", "had", "ondansetron", "odt", "medication", "prescription", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"EXPIRE_FLAG\"", "=", "\"1\"", "AND", "PRESCRIPTIONS.\"DRUG\"", "=", "\"Ondansetron", "ODT\""]}
{"key": "011254b06fabb22f37730843144e1d0a", "format": {"table": [0, 3], "cond": [[0, 13, 0, 1], [3, 5, 0, "ALTE1/5I"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what number of patients are there with death status 1 and drug code alte 1/5i?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"EXPIRE_FLAG\" = \"1\" AND PRESCRIPTIONS.\"FORMULARY_DRUG_CD\" = \"ALTE1/5I\"", "question_refine_tok": ["what", "number", "of", "patients", "are", "there", "with", "death", "status", "1", "and", "drug", "code", "alte", "1/5i", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"EXPIRE_FLAG\"", "=", "\"1\"", "AND", "PRESCRIPTIONS.\"FORMULARY_DRUG_CD\"", "=", "\"ALTE1/5I\""]}
{"key": "bdb34f623d004305786ecf607ea9bee2", "format": {"table": [0, 4], "cond": [[0, 13, 0, 0], [4, 6, 0, "Hemoglobin"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "report the number of patients who had hemoglobin lab test and are still alive.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"EXPIRE_FLAG\" = \"0\" AND LAB.\"LABEL\" = \"Hemoglobin\"", "question_refine_tok": ["report", "the", "number", "of", "patients", "who", "had", "hemoglobin", "lab", "test", "and", "are", "still", "alive", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"EXPIRE_FLAG\"", "=", "\"0\"", "AND", "LAB.\"LABEL\"", "=", "\"Hemoglobin\""]}
{"key": "99bce595811ef5dee23580be8361c841", "format": {"table": [0, 4], "cond": [[0, 13, 0, 0], [4, 6, 0, "Vancomycin"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "provide the number of patients who were ordered to get vancomycin lab test and are still alive.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"EXPIRE_FLAG\" = \"0\" AND LAB.\"LABEL\" = \"Vancomycin\"", "question_refine_tok": ["provide", "the", "number", "of", "patients", "who", "were", "ordered", "to", "get", "vancomycin", "lab", "test", "and", "are", "still", "alive", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"EXPIRE_FLAG\"", "=", "\"0\"", "AND", "LAB.\"LABEL\"", "=", "\"Vancomycin\""]}
{"key": "812230e8fc69a252f0f3d5f09112df1c", "format": {"table": [0, 4], "cond": [[0, 13, 0, 1], [4, 6, 0, "Total Protein, Body Fluid"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "get the number of dead patients who had total protein, body fluid lab test.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"EXPIRE_FLAG\" = \"1\" AND LAB.\"LABEL\" = \"Total Protein, Body Fluid\"", "question_refine_tok": ["get", "the", "number", "of", "dead", "patients", "who", "had", "total", "protein", ",", "body", "fluid", "lab", "test", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"EXPIRE_FLAG\"", "=", "\"1\"", "AND", "LAB.\"LABEL\"", "=", "\"Total", "Protein,", "Body", "Fluid\""]}
{"key": "16127cb06e302d7196eafc87a579e54d", "format": {"table": [0], "cond": [[0, 14, 0, "TRSF WITHIN THIS FACILITY"], [0, 15, 0, "SNF"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of inpatient hospital admitted patients who were discharged to skilled nursing facility.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ADMISSION_LOCATION\" = \"TRSF WITHIN THIS FACILITY\" AND DEMOGRAPHIC.\"DISCHARGE_LOCATION\" = \"SNF\"", "question_refine_tok": ["count", "the", "number", "of", "inpatient", "hospital", "admitted", "patients", "who", "were", "discharged", "to", "skilled", "nursing", "facility", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ADMISSION_LOCATION\"", "=", "\"TRSF", "WITHIN", "THIS", "FACILITY\"", "AND", "DEMOGRAPHIC.\"DISCHARGE_LOCATION\"", "=", "\"SNF\""]}
{"key": "b842d38ab34d938d5d161bc2a52f4dca", "format": {"table": [0], "cond": [[0, 14, 0, "EMERGENCY ROOM ADMIT"], [0, 16, 0, "LEFT INTERNAL JUGULAR VEIN THROMBOSIS;LEFT ARM EDEMA"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "provide the number of emergency room admitted patients with primary disease left internal jugular vein thrombosis; left arm edema.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ADMISSION_LOCATION\" = \"EMERGENCY ROOM ADMIT\" AND DEMOGRAPHIC.\"DIAGNOSIS\" = \"LEFT INTERNAL JUGULAR VEIN THROMBOSIS;LEFT ARM EDEMA\"", "question_refine_tok": ["provide", "the", "number", "of", "emergency", "room", "admitted", "patients", "with", "primary", "disease", "left", "internal", "jugular", "vein", "thrombosis", ";", "left", "arm", "edema", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ADMISSION_LOCATION\"", "=", "\"EMERGENCY", "ROOM", "ADMIT\"", "AND", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"LEFT", "INTERNAL", "JUGULAR", "VEIN", "THROMBOSIS;LEFT", "ARM", "EDEMA\""]}
{"key": "1d57e85e04daa86cd6c105826d133228", "format": {"table": [0], "cond": [[0, 14, 0, "CLINIC REFERRAL/PREMATURE"], [0, 16, 0, "VENTRICULAR TACHYCARDIA"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients have their admission location as clinic referral/premature and ventricular tachycardia as their primary disease?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ADMISSION_LOCATION\" = \"CLINIC REFERRAL/PREMATURE\" AND DEMOGRAPHIC.\"DIAGNOSIS\" = \"VENTRICULAR TACHYCARDIA\"", "question_refine_tok": ["how", "many", "patients", "have", "their", "admission", "location", "as", "clinic", "referral", "/", "premature", "and", "ventricular", "tachycardia", "as", "their", "primary", "disease", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ADMISSION_LOCATION\"", "=", "\"CLINIC", "REFERRAL/PREMATURE\"", "AND", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"VENTRICULAR", "TACHYCARDIA\""]}
{"key": "fbc533c873ff0130401d926aabde3f2e", "format": {"table": [0], "cond": [[0, 14, 0, "CLINIC REFERRAL/PREMATURE"], [0, 16, 0, "SIGMOID DIVERTICULITIS, COLOVESTICAL FISTULA/SDA"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "find how many patients had admission location as clinic referral/premature and primary disease as sigmoid diverticulitis, colovestical fistula/sda.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ADMISSION_LOCATION\" = \"CLINIC REFERRAL/PREMATURE\" AND DEMOGRAPHIC.\"DIAGNOSIS\" = \"SIGMOID DIVERTICULITIS, COLOVESTICAL FISTULA/SDA\"", "question_refine_tok": ["find", "how", "many", "patients", "had", "admission", "location", "as", "clinic", "referral", "/", "premature", "and", "primary", "disease", "as", "sigmoid", "diverticulitis", ",", "colovestical", "fistula", "/", "sda", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ADMISSION_LOCATION\"", "=", "\"CLINIC", "REFERRAL/PREMATURE\"", "AND", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"SIGMOID", "DIVERTICULITIS,", "COLOVESTICAL", "FISTULA/SDA\""]}
{"key": "e9a8c6cd0f825d95dc642b2cdfec2280", "format": {"table": [0], "cond": [[0, 14, 0, "TRANSFER FROM HOSP/EXTRAM"], [0, 16, 0, "NEOPLASM OF UNCERTAIN BEHAVIOR OF OTHER LYMPHATIC AND HEMATOPOIETIC TISSUES\\BONE MARROW TRANSPLANT"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of inpatient hospital admission patients who have neoplasm of uncertain behavior of other lymphatic and hematopoietic tissues/bone marrow transplant primary disease.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ADMISSION_LOCATION\" = \"TRANSFER FROM HOSP/EXTRAM\" AND DEMOGRAPHIC.\"DIAGNOSIS\" = \"NEOPLASM OF UNCERTAIN BEHAVIOR OF OTHER LYMPHATIC AND HEMATOPOIETIC TISSUES\\BONE MARROW TRANSPLANT\"", "question_refine_tok": ["count", "the", "number", "of", "inpatient", "hospital", "admission", "patients", "who", "have", "neoplasm", "of", "uncertain", "behavior", "of", "other", "lymphatic", "and", "hematopoietic", "tissues", "/", "bone", "marrow", "transplant", "primary", "disease", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ADMISSION_LOCATION\"", "=", "\"TRANSFER", "FROM", "HOSP/EXTRAM\"", "AND", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"NEOPLASM", "OF", "UNCERTAIN", "BEHAVIOR", "OF", "OTHER", "LYMPHATIC", "AND", "HEMATOPOIETIC", "TISSUES\\BONE", "MARROW", "TRANSPLANT\""]}
{"key": "7696728fa19889a998b56092b568a598", "format": {"table": [0], "cond": [[0, 14, 0, "PHYS REFERRAL/NORMAL DELI"], [0, 16, 0, "COPD EXACERBATION"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients with admission location as phys referral/normal deli were diagnosed for copd excerbation.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ADMISSION_LOCATION\" = \"PHYS REFERRAL/NORMAL DELI\" AND DEMOGRAPHIC.\"DIAGNOSIS\" = \"COPD EXACERBATION\"", "question_refine_tok": ["how", "many", "patients", "with", "admission", "location", "as", "phys", "referral", "/", "normal", "deli", "were", "diagnosed", "for", "copd", "excerbation", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ADMISSION_LOCATION\"", "=", "\"PHYS", "REFERRAL/NORMAL", "DELI\"", "AND", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"COPD", "EXACERBATION\""]}
{"key": "12728a2fbfa9c1f602f1b41b9851065d", "format": {"table": [0], "cond": [[0, 14, 0, "TRSF WITHIN THIS FACILITY"], [0, 16, 0, "COPD EXACERBATION"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients who have been transferred within the facility have copd exacerbation primary disease?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ADMISSION_LOCATION\" = \"TRSF WITHIN THIS FACILITY\" AND DEMOGRAPHIC.\"DIAGNOSIS\" = \"COPD EXACERBATION\"", "question_refine_tok": ["how", "many", "patients", "who", "have", "been", "transferred", "within", "the", "facility", "have", "copd", "exacerbation", "primary", "disease", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ADMISSION_LOCATION\"", "=", "\"TRSF", "WITHIN", "THIS", "FACILITY\"", "AND", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"COPD", "EXACERBATION\""]}
{"key": "e49f5073c86242d00c05d8cd2bef2552", "format": {"table": [0], "cond": [[0, 14, 0, "CLINIC REFERRAL/PREMATURE"], [0, 18, 2, 2120]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many of the clinic referral/premature patients were born in the year below 2120?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ADMISSION_LOCATION\" = \"CLINIC REFERRAL/PREMATURE\" AND DEMOGRAPHIC.\"DOB_YEAR\" < \"2120\"", "question_refine_tok": ["how", "many", "of", "the", "clinic", "referral", "/", "premature", "patients", "were", "born", "in", "the", "year", "below", "2120", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ADMISSION_LOCATION\"", "=", "\"CLINIC", "REFERRAL/PREMATURE\"", "AND", "DEMOGRAPHIC.\"DOB_YEAR\"", "<", "\"2120\""]}
{"key": "f43fb3d9c8bc12055b907cef9ca2cdf1", "format": {"table": [0], "cond": [[0, 14, 0, "CLINIC REFERRAL/PREMATURE"], [0, 18, 2, 2121]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of office admission patients who were born before 2121?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ADMISSION_LOCATION\" = \"CLINIC REFERRAL/PREMATURE\" AND DEMOGRAPHIC.\"DOB_YEAR\" < \"2121\"", "question_refine_tok": ["what", "is", "the", "number", "of", "office", "admission", "patients", "who", "were", "born", "before", "2121", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ADMISSION_LOCATION\"", "=", "\"CLINIC", "REFERRAL/PREMATURE\"", "AND", "DEMOGRAPHIC.\"DOB_YEAR\"", "<", "\"2121\""]}
{"key": "fcd03d8badd2ff7482e04b4a6411c4da", "format": {"table": [0], "cond": [[0, 14, 0, "TRSF WITHIN THIS FACILITY"], [0, 18, 2, 2089]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients admission location is transferred within this facility with the birth year before 2089?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ADMISSION_LOCATION\" = \"TRSF WITHIN THIS FACILITY\" AND DEMOGRAPHIC.\"DOB_YEAR\" < \"2089\"", "question_refine_tok": ["how", "many", "patients", "admission", "location", "is", "transferred", "within", "this", "facility", "with", "the", "birth", "year", "before", "2089", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ADMISSION_LOCATION\"", "=", "\"TRSF", "WITHIN", "THIS", "FACILITY\"", "AND", "DEMOGRAPHIC.\"DOB_YEAR\"", "<", "\"2089\""]}
{"key": "7db378abc0ec4ebe6311c82c5f5d1b61", "format": {"table": [0], "cond": [[0, 14, 0, "TRSF WITHIN THIS FACILITY"], [0, 18, 2, 2092]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of inpatient hospital admission patients born before 2092.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ADMISSION_LOCATION\" = \"TRSF WITHIN THIS FACILITY\" AND DEMOGRAPHIC.\"DOB_YEAR\" < \"2092\"", "question_refine_tok": ["count", "the", "number", "of", "inpatient", "hospital", "admission", "patients", "born", "before", "2092", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ADMISSION_LOCATION\"", "=", "\"TRSF", "WITHIN", "THIS", "FACILITY\"", "AND", "DEMOGRAPHIC.\"DOB_YEAR\"", "<", "\"2092\""]}
{"key": "e0a914ac286b8bd62b2e9400b059ea90", "format": {"table": [0], "cond": [[0, 14, 0, "CLINIC REFERRAL/PREMATURE"], [0, 22, 2, 2121]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "report the number of clinic referred patients who were admitted prematurely before 2121.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ADMISSION_LOCATION\" = \"CLINIC REFERRAL/PREMATURE\" AND DEMOGRAPHIC.\"ADMITYEAR\" < \"2121\"", "question_refine_tok": ["report", "the", "number", "of", "clinic", "referred", "patients", "who", "were", "admitted", "prematurely", "before", "2121", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ADMISSION_LOCATION\"", "=", "\"CLINIC", "REFERRAL/PREMATURE\"", "AND", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2121\""]}
{"key": "361a66d9cd4b2a4101bd833fa7847306", "format": {"table": [0, 1], "cond": [[0, 14, 0, "PHYS REFERRAL/NORMAL DELI"], [1, 2, 0, "E9530"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients are admitted in location under phys referral/normal deli and diagnosed with icd9 code e9530?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"ADMISSION_LOCATION\" = \"PHYS REFERRAL/NORMAL DELI\" AND DIAGNOSES.\"ICD9_CODE\" = \"E9530\"", "question_refine_tok": ["how", "many", "patients", "are", "admitted", "in", "location", "under", "phys", "referral", "/", "normal", "deli", "and", "diagnosed", "with", "icd9", "code", "e9530", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMISSION_LOCATION\"", "=", "\"PHYS", "REFERRAL/NORMAL", "DELI\"", "AND", "DIAGNOSES.\"ICD9_CODE\"", "=", "\"E9530\""]}
{"key": "3c46ee39323195cd989a0079ed875060", "format": {"table": [0, 1], "cond": [[0, 14, 0, "CLINIC REFERRAL/PREMATURE"], [1, 2, 0, "431"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients are in admission location clinic referral/premature and with diagnosis icd9 code 431?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"ADMISSION_LOCATION\" = \"CLINIC REFERRAL/PREMATURE\" AND DIAGNOSES.\"ICD9_CODE\" = \"431\"", "question_refine_tok": ["how", "many", "patients", "are", "in", "admission", "location", "clinic", "referral", "/", "premature", "and", "with", "diagnosis", "icd9", "code", "431", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMISSION_LOCATION\"", "=", "\"CLINIC", "REFERRAL/PREMATURE\"", "AND", "DIAGNOSES.\"ICD9_CODE\"", "=", "\"431\""]}
{"key": "29852ca32eaf81a7a592ae3ff96c655e", "format": {"table": [0, 1], "cond": [[0, 14, 0, "CLINIC REFERRAL/PREMATURE"], [1, 2, 0, "25541"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients had admission location as clinic referral/premature and diagnoses icd9 code as 25541?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"ADMISSION_LOCATION\" = \"CLINIC REFERRAL/PREMATURE\" AND DIAGNOSES.\"ICD9_CODE\" = \"25541\"", "question_refine_tok": ["how", "many", "patients", "had", "admission", "location", "as", "clinic", "referral", "/", "premature", "and", "diagnoses", "icd9", "code", "as", "25541", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMISSION_LOCATION\"", "=", "\"CLINIC", "REFERRAL/PREMATURE\"", "AND", "DIAGNOSES.\"ICD9_CODE\"", "=", "\"25541\""]}
{"key": "ebc48216a33958af09a19b365f8629ab", "format": {"table": [0, 1], "cond": [[0, 14, 0, "PHYS REFERRAL/NORMAL DELI"], [1, 3, 0, "Heart valve transplant"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many of the patients on phys referral/normal deli had heart valve transplant?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"ADMISSION_LOCATION\" = \"PHYS REFERRAL/NORMAL DELI\" AND DIAGNOSES.\"SHORT_TITLE\" = \"Heart valve transplant\"", "question_refine_tok": ["how", "many", "of", "the", "patients", "on", "phys", "referral", "/", "normal", "deli", "had", "heart", "valve", "transplant", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMISSION_LOCATION\"", "=", "\"PHYS", "REFERRAL/NORMAL", "DELI\"", "AND", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"Heart", "valve", "transplant\""]}
{"key": "6357174f117daef9d895c0a42c72cec4", "format": {"table": [0, 1], "cond": [[0, 14, 0, "TRANSFER FROM HOSP/EXTRAM"], [1, 4, 0, "Esophageal varices in diseases classified elsewhere, with bleeding"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of inpatient hospital admission patients who have esophageal varices in diseases classified elsewhere, with bleeding diagnoses.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"ADMISSION_LOCATION\" = \"TRANSFER FROM HOSP/EXTRAM\" AND DIAGNOSES.\"LONG_TITLE\" = \"Esophageal varices in diseases classified elsewhere, with bleeding\"", "question_refine_tok": ["count", "the", "number", "of", "inpatient", "hospital", "admission", "patients", "who", "have", "esophageal", "varices", "in", "diseases", "classified", "elsewhere", ",", "with", "bleeding", "diagnoses", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMISSION_LOCATION\"", "=", "\"TRANSFER", "FROM", "HOSP/EXTRAM\"", "AND", "DIAGNOSES.\"LONG_TITLE\"", "=", "\"Esophageal", "varices", "in", "diseases", "classified", "elsewhere,", "with", "bleeding\""]}
{"key": "aeca624f999a11e259964e4efc524035", "format": {"table": [0, 2], "cond": [[0, 14, 0, "EMERGENCY ROOM ADMIT"], [2, 2, 0, 9229]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "find the number of patients admitted in the emergency room under procedure icd9 code 9229.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"ADMISSION_LOCATION\" = \"EMERGENCY ROOM ADMIT\" AND PROCEDURES.\"ICD9_CODE\" = \"9229\"", "question_refine_tok": ["find", "the", "number", "of", "patients", "admitted", "in", "the", "emergency", "room", "under", "procedure", "icd9", "code", "9229", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMISSION_LOCATION\"", "=", "\"EMERGENCY", "ROOM", "ADMIT\"", "AND", "PROCEDURES.\"ICD9_CODE\"", "=", "\"9229\""]}
{"key": "b3f4d34e5067d3e9512166c534ed9853", "format": {"table": [0, 2], "cond": [[0, 14, 0, "CLINIC REFERRAL/PREMATURE"], [2, 2, 0, 5781]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients are admitted in location clinic referral/premature and followed the procedure icd9 code 5781?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"ADMISSION_LOCATION\" = \"CLINIC REFERRAL/PREMATURE\" AND PROCEDURES.\"ICD9_CODE\" = \"5781\"", "question_refine_tok": ["how", "many", "patients", "are", "admitted", "in", "location", "clinic", "referral", "/", "premature", "and", "followed", "the", "procedure", "icd9", "code", "5781", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMISSION_LOCATION\"", "=", "\"CLINIC", "REFERRAL/PREMATURE\"", "AND", "PROCEDURES.\"ICD9_CODE\"", "=", "\"5781\""]}
{"key": "714dc2a5ad2704b891d8cab53d0b999b", "format": {"table": [0, 2], "cond": [[0, 14, 0, "TRANSFER FROM HOSP/EXTRAM"], [2, 2, 0, 40]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "give the number of patients whose admission location is transfer from hosp/extram and their procedure icd9 code is 40.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"ADMISSION_LOCATION\" = \"TRANSFER FROM HOSP/EXTRAM\" AND PROCEDURES.\"ICD9_CODE\" = \"40\"", "question_refine_tok": ["give", "the", "number", "of", "patients", "whose", "admission", "location", "is", "transfer", "from", "hosp", "/", "extram", "and", "their", "procedure", "icd9", "code", "is", "40", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMISSION_LOCATION\"", "=", "\"TRANSFER", "FROM", "HOSP/EXTRAM\"", "AND", "PROCEDURES.\"ICD9_CODE\"", "=", "\"40\""]}
{"key": "65d0c60b4d84fd82c4f457d030c32a23", "format": {"table": [0, 2], "cond": [[0, 14, 0, "PHYS REFERRAL/NORMAL DELI"], [2, 2, 0, 5091]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the total number of patients who had icd9 code 5091 when admitted on on phys referral/normal deli", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"ADMISSION_LOCATION\" = \"PHYS REFERRAL/NORMAL DELI\" AND PROCEDURES.\"ICD9_CODE\" = \"5091\"", "question_refine_tok": ["what", "is", "the", "total", "number", "of", "patients", "who", "had", "icd9", "code", "5091", "when", "admitted", "on", "on", "phys", "referral", "/", "normal", "deli"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMISSION_LOCATION\"", "=", "\"PHYS", "REFERRAL/NORMAL", "DELI\"", "AND", "PROCEDURES.\"ICD9_CODE\"", "=", "\"5091\""]}
{"key": "472f3e4b718335803a6137e9158eeb6a", "format": {"table": [0, 2], "cond": [[0, 14, 0, "EMERGENCY ROOM ADMIT"], [2, 3, 0, "Closed biopsy of tongue"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of patients whose admission location is emergency room admit and with procedure closed biopsy of tongue?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"ADMISSION_LOCATION\" = \"EMERGENCY ROOM ADMIT\" AND PROCEDURES.\"SHORT_TITLE\" = \"Closed biopsy of tongue\"", "question_refine_tok": ["what", "is", "the", "number", "of", "patients", "whose", "admission", "location", "is", "emergency", "room", "admit", "and", "with", "procedure", "closed", "biopsy", "of", "tongue", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMISSION_LOCATION\"", "=", "\"EMERGENCY", "ROOM", "ADMIT\"", "AND", "PROCEDURES.\"SHORT_TITLE\"", "=", "\"Closed", "biopsy", "of", "tongue\""]}
{"key": "f17220e09a2713dbee2bf33a2a919659", "format": {"table": [0, 2], "cond": [[0, 14, 0, "EMERGENCY ROOM ADMIT"], [2, 3, 0, "Exc/dest hrt lesion open"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of patients whose admission location is emergency room admit and procedure short title is exc/dest hrt lesion open", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"ADMISSION_LOCATION\" = \"EMERGENCY ROOM ADMIT\" AND PROCEDURES.\"SHORT_TITLE\" = \"Exc/dest hrt lesion open\"", "question_refine_tok": ["count", "the", "number", "of", "patients", "whose", "admission", "location", "is", "emergency", "room", "admit", "and", "procedure", "short", "title", "is", "exc", "/", "dest", "hrt", "lesion", "open"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMISSION_LOCATION\"", "=", "\"EMERGENCY", "ROOM", "ADMIT\"", "AND", "PROCEDURES.\"SHORT_TITLE\"", "=", "\"Exc/dest", "hrt", "lesion", "open\""]}
{"key": "3918e7c19db626b9727b6f097b17fd5b", "format": {"table": [0, 2], "cond": [[0, 14, 0, "EMERGENCY ROOM ADMIT"], [2, 3, 0, "Open liver biopsy"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of patients who were admitted via emergency room and had open liver biopsy procedure?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"ADMISSION_LOCATION\" = \"EMERGENCY ROOM ADMIT\" AND PROCEDURES.\"SHORT_TITLE\" = \"Open liver biopsy\"", "question_refine_tok": ["what", "is", "the", "number", "of", "patients", "who", "were", "admitted", "via", "emergency", "room", "and", "had", "open", "liver", "biopsy", "procedure", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMISSION_LOCATION\"", "=", "\"EMERGENCY", "ROOM", "ADMIT\"", "AND", "PROCEDURES.\"SHORT_TITLE\"", "=", "\"Open", "liver", "biopsy\""]}
{"key": "74554226c65c19798e203c169540f9b7", "format": {"table": [0, 3], "cond": [[0, 14, 0, "PHYS REFERRAL/NORMAL DELI"], [3, 4, 0, "BuPROPion (Sustained Release)"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of office admitted patients who are taking bupropion (sustained release) medication.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"ADMISSION_LOCATION\" = \"PHYS REFERRAL/NORMAL DELI\" AND PRESCRIPTIONS.\"DRUG\" = \"BuPROPion (Sustained Release)\"", "question_refine_tok": ["count", "the", "number", "of", "office", "admitted", "patients", "who", "are", "taking", "bupropion", "(", "sustained", "release", ")", "medication", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMISSION_LOCATION\"", "=", "\"PHYS", "REFERRAL/NORMAL", "DELI\"", "AND", "PRESCRIPTIONS.\"DRUG\"", "=", "\"BuPROPion", "(Sustained", "Release)\""]}
{"key": "836b5c4d6ce8b16dcec03e2bb757d44b", "format": {"table": [0, 3], "cond": [[0, 14, 0, "TRSF WITHIN THIS FACILITY"], [3, 4, 0, "Levothyroxine Sodium"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients have their admission location as transfer within this facility and have been prescribed the drug levothyroxine sodium?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"ADMISSION_LOCATION\" = \"TRSF WITHIN THIS FACILITY\" AND PRESCRIPTIONS.\"DRUG\" = \"Levothyroxine Sodium\"", "question_refine_tok": ["how", "many", "patients", "have", "their", "admission", "location", "as", "transfer", "within", "this", "facility", "and", "have", "been", "prescribed", "the", "drug", "levothyroxine", "sodium", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMISSION_LOCATION\"", "=", "\"TRSF", "WITHIN", "THIS", "FACILITY\"", "AND", "PRESCRIPTIONS.\"DRUG\"", "=", "\"Levothyroxine", "Sodium\""]}
{"key": "28db50d2d94118ce379812f695c8d403", "format": {"table": [0, 3], "cond": [[0, 14, 0, "TRANSFER FROM HOSP/EXTRAM"], [3, 4, 0, "Gentamicin"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many inpatient hospital admission patients have prescription for gentamicin medication?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"ADMISSION_LOCATION\" = \"TRANSFER FROM HOSP/EXTRAM\" AND PRESCRIPTIONS.\"DRUG\" = \"Gentamicin\"", "question_refine_tok": ["how", "many", "inpatient", "hospital", "admission", "patients", "have", "prescription", "for", "gentamicin", "medication", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMISSION_LOCATION\"", "=", "\"TRANSFER", "FROM", "HOSP/EXTRAM\"", "AND", "PRESCRIPTIONS.\"DRUG\"", "=", "\"Gentamicin\""]}
{"key": "24a59fae22e1a227e0999eb0e5953b64", "format": {"table": [0, 3], "cond": [[0, 14, 0, "CLINIC REFERRAL/PREMATURE"], [3, 5, 0, "MYCO500T"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of clinic referral/premature admission patients who have myco500t drug code?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"ADMISSION_LOCATION\" = \"CLINIC REFERRAL/PREMATURE\" AND PRESCRIPTIONS.\"FORMULARY_DRUG_CD\" = \"MYCO500T\"", "question_refine_tok": ["what", "is", "the", "number", "of", "clinic", "referral", "/", "premature", "admission", "patients", "who", "have", "myco500", "t", "drug", "code", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMISSION_LOCATION\"", "=", "\"CLINIC", "REFERRAL/PREMATURE\"", "AND", "PRESCRIPTIONS.\"FORMULARY_DRUG_CD\"", "=", "\"MYCO500T\""]}
{"key": "4ef06ab90dee03e0af4428323ec02d74", "format": {"table": [0, 3], "cond": [[0, 14, 0, "PHYS REFERRAL/NORMAL DELI"], [3, 5, 0, "CEFE1I"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of patients whose admission location is phys referral/normal deli and drig code is cefe 1i.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"ADMISSION_LOCATION\" = \"PHYS REFERRAL/NORMAL DELI\" AND PRESCRIPTIONS.\"FORMULARY_DRUG_CD\" = \"CEFE1I\"", "question_refine_tok": ["count", "the", "number", "of", "patients", "whose", "admission", "location", "is", "phys", "referral", "/", "normal", "deli", "and", "drig", "code", "is", "cefe", "1i", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMISSION_LOCATION\"", "=", "\"PHYS", "REFERRAL/NORMAL", "DELI\"", "AND", "PRESCRIPTIONS.\"FORMULARY_DRUG_CD\"", "=", "\"CEFE1I\""]}
{"key": "c786a15db1acc246a4c1ddf56b521936", "format": {"table": [0, 3], "cond": [[0, 14, 0, "EMERGENCY ROOM ADMIT"], [3, 5, 0, "ESMOBASE"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "give the number of patients whose admission location is emergency room admit and drug code is esmobase.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"ADMISSION_LOCATION\" = \"EMERGENCY ROOM ADMIT\" AND PRESCRIPTIONS.\"FORMULARY_DRUG_CD\" = \"ESMOBASE\"", "question_refine_tok": ["give", "the", "number", "of", "patients", "whose", "admission", "location", "is", "emergency", "room", "admit", "and", "drug", "code", "is", "esmobase", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMISSION_LOCATION\"", "=", "\"EMERGENCY", "ROOM", "ADMIT\"", "AND", "PRESCRIPTIONS.\"FORMULARY_DRUG_CD\"", "=", "\"ESMOBASE\""]}
{"key": "d1c60bd6bb2d11807478869f944bb514", "format": {"table": [0, 4], "cond": [[0, 14, 0, "CLINIC REFERRAL/PREMATURE"], [4, 2, 0, 50818]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "find the number of office admitted patients who have lab test item id 50818.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"ADMISSION_LOCATION\" = \"CLINIC REFERRAL/PREMATURE\" AND LAB.\"ITEMID\" = \"50818\"", "question_refine_tok": ["find", "the", "number", "of", "office", "admitted", "patients", "who", "have", "lab", "test", "item", "i", "d", "50818", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMISSION_LOCATION\"", "=", "\"CLINIC", "REFERRAL/PREMATURE\"", "AND", "LAB.\"ITEMID\"", "=", "\"50818\""]}
{"key": "6d825f7d49ee6fa7b90a6bf89b1e33d5", "format": {"table": [0, 4], "cond": [[0, 14, 0, "TRSF WITHIN THIS FACILITY"], [4, 2, 0, 51419]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of inpatient hospital admission patients who have lab test item id 51419?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"ADMISSION_LOCATION\" = \"TRSF WITHIN THIS FACILITY\" AND LAB.\"ITEMID\" = \"51419\"", "question_refine_tok": ["what", "is", "the", "number", "of", "inpatient", "hospital", "admission", "patients", "who", "have", "lab", "test", "item", "i", "d", "51419", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMISSION_LOCATION\"", "=", "\"TRSF", "WITHIN", "THIS", "FACILITY\"", "AND", "LAB.\"ITEMID\"", "=", "\"51419\""]}
{"key": "8839200390d5c44a6fcc95ec57e919a8", "format": {"table": [0, 4], "cond": [[0, 14, 0, "CLINIC REFERRAL/PREMATURE"], [4, 2, 0, 50976]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients are admitted in clinic referral/premature and lab tested with lab item id 50976?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"ADMISSION_LOCATION\" = \"CLINIC REFERRAL/PREMATURE\" AND LAB.\"ITEMID\" = \"50976\"", "question_refine_tok": ["how", "many", "patients", "are", "admitted", "in", "clinic", "referral", "/", "premature", "and", "lab", "tested", "with", "lab", "item", "i", "d", "50976", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMISSION_LOCATION\"", "=", "\"CLINIC", "REFERRAL/PREMATURE\"", "AND", "LAB.\"ITEMID\"", "=", "\"50976\""]}
{"key": "3124ea9af69f6012ce8e8acb2b6ac7d2", "format": {"table": [0, 4], "cond": [[0, 14, 0, "EMERGENCY ROOM ADMIT"], [4, 6, 0, "Mesothelial Cells"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of patients who had emergency room hospital admission and had mesothelial cells lab test.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"ADMISSION_LOCATION\" = \"EMERGENCY ROOM ADMIT\" AND LAB.\"LABEL\" = \"Mesothelial Cells\"", "question_refine_tok": ["count", "the", "number", "of", "patients", "who", "had", "emergency", "room", "hospital", "admission", "and", "had", "mesothelial", "cells", "lab", "test", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMISSION_LOCATION\"", "=", "\"EMERGENCY", "ROOM", "ADMIT\"", "AND", "LAB.\"LABEL\"", "=", "\"Mesothelial", "Cells\""]}
{"key": "cc98483d8627f04747c48111e5e1c532", "format": {"table": [0, 4], "cond": [[0, 14, 0, "CLINIC REFERRAL/PREMATURE"], [4, 6, 0, "Monocytes"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "find the number of office admission patients who had monocyte count lab test done.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"ADMISSION_LOCATION\" = \"CLINIC REFERRAL/PREMATURE\" AND LAB.\"LABEL\" = \"Monocytes\"", "question_refine_tok": ["find", "the", "number", "of", "office", "admission", "patients", "who", "had", "monocyte", "count", "lab", "test", "done", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMISSION_LOCATION\"", "=", "\"CLINIC", "REFERRAL/PREMATURE\"", "AND", "LAB.\"LABEL\"", "=", "\"Monocytes\""]}
{"key": "c0f902e967f9e4304fad6d99daa8ffd0", "format": {"table": [0, 4], "cond": [[0, 14, 0, "TRANSFER FROM HOSP/EXTRAM"], [4, 6, 0, "Sedimentation Rate"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "get me the number of inpatient hospital admitted patients for whom sedimentation rate lab test was ordered.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"ADMISSION_LOCATION\" = \"TRANSFER FROM HOSP/EXTRAM\" AND LAB.\"LABEL\" = \"Sedimentation Rate\"", "question_refine_tok": ["get", "me", "the", "number", "of", "inpatient", "hospital", "admitted", "patients", "for", "whom", "sedimentation", "rate", "lab", "test", "was", "ordered", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMISSION_LOCATION\"", "=", "\"TRANSFER", "FROM", "HOSP/EXTRAM\"", "AND", "LAB.\"LABEL\"", "=", "\"Sedimentation", "Rate\""]}
{"key": "13f9677e61723b26e3a7b16b91c55454", "format": {"table": [0, 4], "cond": [[0, 14, 0, "TRANSFER FROM HOSP/EXTRAM"], [4, 7, 0, "Joint Fluid"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients are with admission location transfer from hosp/extram and their lab test fluid is joint fluid?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"ADMISSION_LOCATION\" = \"TRANSFER FROM HOSP/EXTRAM\" AND LAB.\"FLUID\" = \"Joint Fluid\"", "question_refine_tok": ["how", "many", "patients", "are", "with", "admission", "location", "transfer", "from", "hosp", "/", "extram", "and", "their", "lab", "test", "fluid", "is", "joint", "fluid", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMISSION_LOCATION\"", "=", "\"TRANSFER", "FROM", "HOSP/EXTRAM\"", "AND", "LAB.\"FLUID\"", "=", "\"Joint", "Fluid\""]}
{"key": "bc92bb5866153a6116540acd053d2557", "format": {"table": [0], "cond": [[0, 15, 0, "SNF"], [0, 16, 0, "HYPERGLYCEMIA"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of patients with discharge location as snf diagnosed with primary disease hyperglycemia?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DISCHARGE_LOCATION\" = \"SNF\" AND DEMOGRAPHIC.\"DIAGNOSIS\" = \"HYPERGLYCEMIA\"", "question_refine_tok": ["what", "is", "the", "number", "of", "patients", "with", "discharge", "location", "as", "snf", "diagnosed", "with", "primary", "disease", "hyperglycemia", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DISCHARGE_LOCATION\"", "=", "\"SNF\"", "AND", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"HYPERGLYCEMIA\""]}
{"key": "9b967fde7cad1782fa8e9da8e34fde79", "format": {"table": [0], "cond": [[0, 15, 0, "HOME"], [0, 16, 0, "MORBID OBESITY/SDA"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many of the patients with morbid obesity/sda as primary disease were discharged to home?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DISCHARGE_LOCATION\" = \"HOME\" AND DEMOGRAPHIC.\"DIAGNOSIS\" = \"MORBID OBESITY/SDA\"", "question_refine_tok": ["how", "many", "of", "the", "patients", "with", "morbid", "obesity", "/", "sda", "as", "primary", "disease", "were", "discharged", "to", "home", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DISCHARGE_LOCATION\"", "=", "\"HOME\"", "AND", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"MORBID", "OBESITY/SDA\""]}
{"key": "2a7615e331a2a0563553e8b172eb9c1f", "format": {"table": [0], "cond": [[0, 15, 0, "HOME"], [0, 16, 0, "VENTRICULAR TACHYCARDIA"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of patients with ventricular tachycardia primary disease who had home discharge?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DISCHARGE_LOCATION\" = \"HOME\" AND DEMOGRAPHIC.\"DIAGNOSIS\" = \"VENTRICULAR TACHYCARDIA\"", "question_refine_tok": ["what", "is", "the", "number", "of", "patients", "with", "ventricular", "tachycardia", "primary", "disease", "who", "had", "home", "discharge", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DISCHARGE_LOCATION\"", "=", "\"HOME\"", "AND", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"VENTRICULAR", "TACHYCARDIA\""]}
{"key": "3e355c94ba567b24e7a22ec51c62bcad", "format": {"table": [0], "cond": [[0, 15, 0, "HOME HEALTH CARE"], [0, 4, 2, 41]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients younger than 41 years have home health care discharge location?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DISCHARGE_LOCATION\" = \"HOME HEALTH CARE\" AND DEMOGRAPHIC.\"AGE\" < \"41\"", "question_refine_tok": ["how", "many", "patients", "younger", "than", "41", "years", "have", "home", "health", "care", "discharge", "location", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DISCHARGE_LOCATION\"", "=", "\"HOME", "HEALTH", "CARE\"", "AND", "DEMOGRAPHIC.\"AGE\"", "<", "\"41\""]}
{"key": "5d61348e40e750d19912bec0dba0847e", "format": {"table": [0], "cond": [[0, 15, 0, "SNF"], [0, 10, 1, 17]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "among pateints who had a hospital stay for more than 17 days, how many of them were discharged to snf?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DISCHARGE_LOCATION\" = \"SNF\" AND DEMOGRAPHIC.\"DAYS_STAY\" > \"17\"", "question_refine_tok": ["among", "pateints", "who", "had", "a", "hospital", "stay", "for", "more", "than", "17", "days", ",", "how", "many", "of", "them", "were", "discharged", "to", "snf", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DISCHARGE_LOCATION\"", "=", "\"SNF\"", "AND", "DEMOGRAPHIC.\"DAYS_STAY\"", ">", "\"17\""]}
{"key": "3103b7232073cc1ef2887d6c9b7e99f3", "format": {"table": [0], "cond": [[0, 15, 0, "HOME"], [0, 10, 1, 26]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many of the patients were discharged to home after a hospital stay of more than 26 days?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DISCHARGE_LOCATION\" = \"HOME\" AND DEMOGRAPHIC.\"DAYS_STAY\" > \"26\"", "question_refine_tok": ["how", "many", "of", "the", "patients", "were", "discharged", "to", "home", "after", "a", "hospital", "stay", "of", "more", "than", "26", "days", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DISCHARGE_LOCATION\"", "=", "\"HOME\"", "AND", "DEMOGRAPHIC.\"DAYS_STAY\"", ">", "\"26\""]}
{"key": "357a85eeb507e8d0052c63b0a8464342", "format": {"table": [0], "cond": [[0, 15, 0, "REHAB/DISTINCT PART HOSP"], [0, 10, 1, 1]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of patients who stayed in hospital for more than a day and were discharged to skilled nursing facility?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DISCHARGE_LOCATION\" = \"REHAB/DISTINCT PART HOSP\" AND DEMOGRAPHIC.\"DAYS_STAY\" > \"1\"", "question_refine_tok": ["what", "is", "the", "number", "of", "patients", "who", "stayed", "in", "hospital", "for", "more", "than", "a", "day", "and", "were", "discharged", "to", "skilled", "nursing", "facility", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DISCHARGE_LOCATION\"", "=", "\"REHAB/DISTINCT", "PART", "HOSP\"", "AND", "DEMOGRAPHIC.\"DAYS_STAY\"", ">", "\"1\""]}
{"key": "aead37cf2ebd30f961072c7ae619f4d1", "format": {"table": [0], "cond": [[0, 15, 0, "LEFT AGAINST MEDICAL ADVI"], [0, 18, 2, 2150]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients left against medical advice were born before 2150?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DISCHARGE_LOCATION\" = \"LEFT AGAINST MEDICAL ADVI\" AND DEMOGRAPHIC.\"DOB_YEAR\" < \"2150\"", "question_refine_tok": ["how", "many", "patients", "left", "against", "medical", "advice", "were", "born", "before", "2150", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DISCHARGE_LOCATION\"", "=", "\"LEFT", "AGAINST", "MEDICAL", "ADVI\"", "AND", "DEMOGRAPHIC.\"DOB_YEAR\"", "<", "\"2150\""]}
{"key": "181ee562b416c6c01e1d2441969b984c", "format": {"table": [0, 1], "cond": [[0, 15, 0, "SHORT TERM HOSPITAL"], [1, 2, 0, "7906"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "give the number of patients whose discharge location is short term hospital and diagnoses icd9 code is 7906.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"DISCHARGE_LOCATION\" = \"SHORT TERM HOSPITAL\" AND DIAGNOSES.\"ICD9_CODE\" = \"7906\"", "question_refine_tok": ["give", "the", "number", "of", "patients", "whose", "discharge", "location", "is", "short", "term", "hospital", "and", "diagnoses", "icd9", "code", "is", "7906", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DISCHARGE_LOCATION\"", "=", "\"SHORT", "TERM", "HOSPITAL\"", "AND", "DIAGNOSES.\"ICD9_CODE\"", "=", "\"7906\""]}
{"key": "d3a1937d2dbfbec10ef097360b314993", "format": {"table": [0, 1], "cond": [[0, 15, 0, "HOME"], [1, 2, 0, "5770"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "calculate the patients diagnosed with icd9 code 5770 who were discharged home.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"DISCHARGE_LOCATION\" = \"HOME\" AND DIAGNOSES.\"ICD9_CODE\" = \"5770\"", "question_refine_tok": ["calculate", "the", "patients", "diagnosed", "with", "icd9", "code", "5770", "who", "were", "discharged", "home", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DISCHARGE_LOCATION\"", "=", "\"HOME\"", "AND", "DIAGNOSES.\"ICD9_CODE\"", "=", "\"5770\""]}
{"key": "cba7fa714d331720552855035bf3e963", "format": {"table": [0, 1], "cond": [[0, 15, 0, "DEAD/EXPIRED"], [1, 2, 0, "28522"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "give me the number of patients with diagnoses icd9 code 28522 who were discharged dead/expired.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"DISCHARGE_LOCATION\" = \"DEAD/EXPIRED\" AND DIAGNOSES.\"ICD9_CODE\" = \"28522\"", "question_refine_tok": ["give", "me", "the", "number", "of", "patients", "with", "diagnoses", "icd9", "code", "28522", "who", "were", "discharged", "dead", "/", "expired", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DISCHARGE_LOCATION\"", "=", "\"DEAD/EXPIRED\"", "AND", "DIAGNOSES.\"ICD9_CODE\"", "=", "\"28522\""]}
{"key": "23eac29584015db6c3ed8af114ed1d60", "format": {"table": [0, 1], "cond": [[0, 15, 0, "LONG TERM CARE HOSPITAL"], [1, 3, 0, "Neuropathy in diabetes"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients discharged from long term care hospital were diagnosed with neuropathy in diabetes?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"DISCHARGE_LOCATION\" = \"LONG TERM CARE HOSPITAL\" AND DIAGNOSES.\"SHORT_TITLE\" = \"Neuropathy in diabetes\"", "question_refine_tok": ["how", "many", "patients", "discharged", "from", "long", "term", "care", "hospital", "were", "diagnosed", "with", "neuropathy", "in", "diabetes", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DISCHARGE_LOCATION\"", "=", "\"LONG", "TERM", "CARE", "HOSPITAL\"", "AND", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"Neuropathy", "in", "diabetes\""]}
{"key": "a783d20e8caffea6a366cd0ab645ec01", "format": {"table": [0, 1], "cond": [[0, 15, 0, "DISCH-TRAN TO PSYCH HOSP"], [1, 4, 0, "Dehydration"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "find the number of patients with dehydration diagnoses who were discharged to psychiatric facility-partial hospitalization.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"DISCHARGE_LOCATION\" = \"DISCH-TRAN TO PSYCH HOSP\" AND DIAGNOSES.\"LONG_TITLE\" = \"Dehydration\"", "question_refine_tok": ["find", "the", "number", "of", "patients", "with", "dehydration", "diagnoses", "who", "were", "discharged", "to", "psychiatric", "facility", "-", "partial", "hospitalization", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DISCHARGE_LOCATION\"", "=", "\"DISCH-TRAN", "TO", "PSYCH", "HOSP\"", "AND", "DIAGNOSES.\"LONG_TITLE\"", "=", "\"Dehydration\""]}
{"key": "4377f9912ac334185cfb06961c5e707f", "format": {"table": [0, 2], "cond": [[0, 15, 0, "HOME"], [2, 2, 0, 14]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "show me the number of patients  with procedure icd9 code 14 who were discharged home.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"DISCHARGE_LOCATION\" = \"HOME\" AND PROCEDURES.\"ICD9_CODE\" = \"14\"", "question_refine_tok": ["show", "me", "the", "number", "of", "patients", " ", "with", "procedure", "icd9", "code", "14", "who", "were", "discharged", "home", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DISCHARGE_LOCATION\"", "=", "\"HOME\"", "AND", "PROCEDURES.\"ICD9_CODE\"", "=", "\"14\""]}
{"key": "06e6239b44a6ae31f762cffe8f4c9a78", "format": {"table": [0, 2], "cond": [[0, 15, 0, "HOME HEALTH CARE"], [2, 2, 0, 8163]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients are discharged to home health care and followed the procedure icd9 code 8163?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"DISCHARGE_LOCATION\" = \"HOME HEALTH CARE\" AND PROCEDURES.\"ICD9_CODE\" = \"8163\"", "question_refine_tok": ["how", "many", "patients", "are", "discharged", "to", "home", "health", "care", "and", "followed", "the", "procedure", "icd9", "code", "8163", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DISCHARGE_LOCATION\"", "=", "\"HOME", "HEALTH", "CARE\"", "AND", "PROCEDURES.\"ICD9_CODE\"", "=", "\"8163\""]}
{"key": "7a812124c7e567dcab252548dee54b2e", "format": {"table": [0, 2], "cond": [[0, 15, 0, "LEFT AGAINST MEDICAL ADVI"], [2, 2, 0, 9960]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "get the number of patients with procedure icd9 code 9960 who self discharged against medical advice.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"DISCHARGE_LOCATION\" = \"LEFT AGAINST MEDICAL ADVI\" AND PROCEDURES.\"ICD9_CODE\" = \"9960\"", "question_refine_tok": ["get", "the", "number", "of", "patients", "with", "procedure", "icd9", "code", "9960", "who", "self", "discharged", "against", "medical", "advice", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DISCHARGE_LOCATION\"", "=", "\"LEFT", "AGAINST", "MEDICAL", "ADVI\"", "AND", "PROCEDURES.\"ICD9_CODE\"", "=", "\"9960\""]}
{"key": "65311bd34930a1e0d01b6a1e1c047e2a", "format": {"table": [0, 2], "cond": [[0, 15, 0, "LONG TERM CARE HOSPITAL"], [2, 3, 0, "Form cutan ileoureterost"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of patients whose discharge location is long term care hospital and who have undergone a form cutan ileoureterost??", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"DISCHARGE_LOCATION\" = \"LONG TERM CARE HOSPITAL\" AND PROCEDURES.\"SHORT_TITLE\" = \"Form cutan ileoureterost\"", "question_refine_tok": ["what", "is", "the", "number", "of", "patients", "whose", "discharge", "location", "is", "long", "term", "care", "hospital", "and", "who", "have", "undergone", "a", "form", "cutan", "ileoureterost", "?", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DISCHARGE_LOCATION\"", "=", "\"LONG", "TERM", "CARE", "HOSPITAL\"", "AND", "PROCEDURES.\"SHORT_TITLE\"", "=", "\"Form", "cutan", "ileoureterost\""]}
{"key": "148fcfaad744c3422b17366f16609484", "format": {"table": [0, 2], "cond": [[0, 15, 0, "HOME HEALTH CARE"], [2, 3, 0, "Opn mitral valvuloplasty"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what number of patients had the procedure named opn mitral valvuloplasty and were discharged from home health care?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"DISCHARGE_LOCATION\" = \"HOME HEALTH CARE\" AND PROCEDURES.\"SHORT_TITLE\" = \"Opn mitral valvuloplasty\"", "question_refine_tok": ["what", "number", "of", "patients", "had", "the", "procedure", "named", "opn", "mitral", "valvuloplasty", "and", "were", "discharged", "from", "home", "health", "care", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DISCHARGE_LOCATION\"", "=", "\"HOME", "HEALTH", "CARE\"", "AND", "PROCEDURES.\"SHORT_TITLE\"", "=", "\"Opn", "mitral", "valvuloplasty\""]}
{"key": "685a8a64991420257b32c454f74950b3", "format": {"table": [0, 2], "cond": [[0, 15, 0, "SHORT TERM HOSPITAL"], [2, 3, 0, "Percu endosc jejunostomy"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "give the number of patients whose discharge location is short term hospital and procedure is percu endosc jejunostomy.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"DISCHARGE_LOCATION\" = \"SHORT TERM HOSPITAL\" AND PROCEDURES.\"SHORT_TITLE\" = \"Percu endosc jejunostomy\"", "question_refine_tok": ["give", "the", "number", "of", "patients", "whose", "discharge", "location", "is", "short", "term", "hospital", "and", "procedure", "is", "percu", "endosc", "jejunostomy", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DISCHARGE_LOCATION\"", "=", "\"SHORT", "TERM", "HOSPITAL\"", "AND", "PROCEDURES.\"SHORT_TITLE\"", "=", "\"Percu", "endosc", "jejunostomy\""]}
{"key": "bac6d41d754a28a3e4b83be96cbfc135", "format": {"table": [0, 2], "cond": [[0, 15, 0, "DISC-TRAN CANCER/CHLDRN H"], [2, 3, 0, "Lap periton adhesiolysis"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of patients with discharge location = disc-tran cancer/chldrn h who underwent lap periton adhesiolysis procedure?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"DISCHARGE_LOCATION\" = \"DISC-TRAN CANCER/CHLDRN H\" AND PROCEDURES.\"SHORT_TITLE\" = \"Lap periton adhesiolysis\"", "question_refine_tok": ["what", "is", "the", "number", "of", "patients", "with", "discharge", "location", "=", "disc", "-", "tran", "cancer", "/", "chldrn", "h", "who", "underwent", "lap", "periton", "adhesiolysis", "procedure", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DISCHARGE_LOCATION\"", "=", "\"DISC-TRAN", "CANCER/CHLDRN", "H\"", "AND", "PROCEDURES.\"SHORT_TITLE\"", "=", "\"Lap", "periton", "adhesiolysis\""]}
{"key": "5ee5e808afedbdfdb5da7a1cf7296579", "format": {"table": [0, 2], "cond": [[0, 15, 0, "SHORT TERM HOSPITAL"], [2, 3, 0, "Endosc retro cholangiopa"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients had short term hospital as their discharge location and have undergone a procedure endosc retro cholangiopa? ", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"DISCHARGE_LOCATION\" = \"SHORT TERM HOSPITAL\" AND PROCEDURES.\"SHORT_TITLE\" = \"Endosc retro cholangiopa\"", "question_refine_tok": ["how", "many", "patients", "had", "short", "term", "hospital", "as", "their", "discharge", "location", "and", "have", "undergone", "a", "procedure", "endosc", "retro", "cholangiopa", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DISCHARGE_LOCATION\"", "=", "\"SHORT", "TERM", "HOSPITAL\"", "AND", "PROCEDURES.\"SHORT_TITLE\"", "=", "\"Endosc", "retro", "cholangiopa\""]}
{"key": "f14c39de18313ad04c6b88fb3f7626f4", "format": {"table": [0, 2], "cond": [[0, 15, 0, "HOME"], [2, 4, 0, "Endoscopic sphincterotomy and papillotomy"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients are discharged to home and operated with procedure endoscopic sphincterotomy and papillotomy?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"DISCHARGE_LOCATION\" = \"HOME\" AND PROCEDURES.\"LONG_TITLE\" = \"Endoscopic sphincterotomy and papillotomy\"", "question_refine_tok": ["how", "many", "patients", "are", "discharged", "to", "home", "and", "operated", "with", "procedure", "endoscopic", "sphincterotomy", "and", "papillotomy", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DISCHARGE_LOCATION\"", "=", "\"HOME\"", "AND", "PROCEDURES.\"LONG_TITLE\"", "=", "\"Endoscopic", "sphincterotomy", "and", "papillotomy\""]}
{"key": "8ccd1fc959a6b5fb76e29540c64b01df", "format": {"table": [0, 2], "cond": [[0, 15, 0, "HOME HEALTH CARE"], [2, 4, 0, "Insertion of non-drug-eluting coronary artery stent(s)"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of home health care discharged patients who had insertion of non-drug-eluting coronary artery stent(s) procedure?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"DISCHARGE_LOCATION\" = \"HOME HEALTH CARE\" AND PROCEDURES.\"LONG_TITLE\" = \"Insertion of non-drug-eluting coronary artery stent(s)\"", "question_refine_tok": ["what", "is", "the", "number", "of", "home", "health", "care", "discharged", "patients", "who", "had", "insertion", "of", "non", "-", "drug", "-", "eluting", "coronary", "artery", "stent(s", ")", "procedure", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DISCHARGE_LOCATION\"", "=", "\"HOME", "HEALTH", "CARE\"", "AND", "PROCEDURES.\"LONG_TITLE\"", "=", "\"Insertion", "of", "non-drug-eluting", "coronary", "artery", "stent(s)\""]}
{"key": "d4feb5fe47ffd5019321cdb32d9928a5", "format": {"table": [0], "cond": [[0, 16, 0, "ACIDOSIS"], [0, 4, 2, 47]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of patients under the age of 47 years who have acidosis primary disease?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"ACIDOSIS\" AND DEMOGRAPHIC.\"AGE\" < \"47\"", "question_refine_tok": ["what", "is", "the", "number", "of", "patients", "under", "the", "age", "of", "47", "years", "who", "have", "acidosis", "primary", "disease", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"ACIDOSIS\"", "AND", "DEMOGRAPHIC.\"AGE\"", "<", "\"47\""]}
{"key": "6e24f311447816f166e90be6937b5f3a", "format": {"table": [0], "cond": [[0, 16, 0, "INFECTED RIGHT THIGH GRAFT"], [0, 4, 2, 43]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "get the number of patients less than 43 years who have infected right thigh graft primary disease.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"INFECTED RIGHT THIGH GRAFT\" AND DEMOGRAPHIC.\"AGE\" < \"43\"", "question_refine_tok": ["get", "the", "number", "of", "patients", "less", "than", "43", "years", "who", "have", "infected", "right", "thigh", "graft", "primary", "disease", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"INFECTED", "RIGHT", "THIGH", "GRAFT\"", "AND", "DEMOGRAPHIC.\"AGE\"", "<", "\"43\""]}
{"key": "a3ebe134d9ad77259450648016508ecc", "format": {"table": [0], "cond": [[0, 16, 0, "LIVER TRANSPLANT"], [0, 4, 2, 81]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients less than 81 years of age had primary disease as liver transplant?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"LIVER TRANSPLANT\" AND DEMOGRAPHIC.\"AGE\" < \"81\"", "question_refine_tok": ["how", "many", "patients", "less", "than", "81", "years", "of", "age", "had", "primary", "disease", "as", "liver", "transplant", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"LIVER", "TRANSPLANT\"", "AND", "DEMOGRAPHIC.\"AGE\"", "<", "\"81\""]}
{"key": "b7a01e77f49bad32dca3b55b38c323ef", "format": {"table": [0], "cond": [[0, 16, 0, "ANGIOEDEMA"], [0, 4, 2, 47]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "look for the number of patients less than 47 years who have angioedema primary disease.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"ANGIOEDEMA\" AND DEMOGRAPHIC.\"AGE\" < \"47\"", "question_refine_tok": ["look", "for", "the", "number", "of", "patients", "less", "than", "47", "years", "who", "have", "angioedema", "primary", "disease", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"ANGIOEDEMA\"", "AND", "DEMOGRAPHIC.\"AGE\"", "<", "\"47\""]}
{"key": "c4f37e7ea58c5d0906ae2eb9e27098a5", "format": {"table": [0], "cond": [[0, 16, 0, "ST-SEGMENT ELEVATION MYOCARDIAL INFARCTION\\CARDIAC CATH"], [0, 4, 2, 70]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "among patients with st-segment elevation myocardial infarction\\cardiac cath as primary disease, calculate the number of patients aged below 70.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"ST-SEGMENT ELEVATION MYOCARDIAL INFARCTION\\CARDIAC CATH\" AND DEMOGRAPHIC.\"AGE\" < \"70\"", "question_refine_tok": ["among", "patients", "with", "st", "-", "segment", "elevation", "myocardial", "infarction\\cardiac", "cath", "as", "primary", "disease", ",", "calculate", "the", "number", "of", "patients", "aged", "below", "70", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"ST-SEGMENT", "ELEVATION", "MYOCARDIAL", "INFARCTION\\CARDIAC", "CATH\"", "AND", "DEMOGRAPHIC.\"AGE\"", "<", "\"70\""]}
{"key": "10d31ae830f84195a1cbcb4e381e13ee", "format": {"table": [0], "cond": [[0, 16, 0, "FEMORAL ARTERY THROMBOSIS"], [0, 4, 2, 85]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of patients less than 85 years who are suffering from femoral artery thrombosis primary disease.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"FEMORAL ARTERY THROMBOSIS\" AND DEMOGRAPHIC.\"AGE\" < \"85\"", "question_refine_tok": ["count", "the", "number", "of", "patients", "less", "than", "85", "years", "who", "are", "suffering", "from", "femoral", "artery", "thrombosis", "primary", "disease", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"FEMORAL", "ARTERY", "THROMBOSIS\"", "AND", "DEMOGRAPHIC.\"AGE\"", "<", "\"85\""]}
{"key": "9895fc06782b97da625ddb259bf5f4d1", "format": {"table": [0], "cond": [[0, 16, 0, "CHEST PAIN"], [0, 4, 2, 54]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": " how many patients aged below 54 years had chest pain as the primary disease?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"CHEST PAIN\" AND DEMOGRAPHIC.\"AGE\" < \"54\"", "question_refine_tok": [" ", "how", "many", "patients", "aged", "below", "54", "years", "had", "chest", "pain", "as", "the", "primary", "disease", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"CHEST", "PAIN\"", "AND", "DEMOGRAPHIC.\"AGE\"", "<", "\"54\""]}
{"key": "448f6f9c125b0f27a972030ec379f31b", "format": {"table": [0], "cond": [[0, 16, 0, "RUQ PAIN"], [0, 4, 2, 71]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "provide the number of patients with right upper quadrant pain primary disease who were less than 71 years of age.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"RUQ PAIN\" AND DEMOGRAPHIC.\"AGE\" < \"71\"", "question_refine_tok": ["provide", "the", "number", "of", "patients", "with", "right", "upper", "quadrant", "pain", "primary", "disease", "who", "were", "less", "than", "71", "years", "of", "age", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"RUQ", "PAIN\"", "AND", "DEMOGRAPHIC.\"AGE\"", "<", "\"71\""]}
{"key": "7da9b0263eb4535b31c3d81188259c60", "format": {"table": [0], "cond": [[0, 16, 0, "GUILLAIN BARRE SYNDROME"], [0, 4, 2, 59]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients under the age of 59 years have been diagnosed with guillain barre syndrome?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"GUILLAIN BARRE SYNDROME\" AND DEMOGRAPHIC.\"AGE\" < \"59\"", "question_refine_tok": ["how", "many", "patients", "under", "the", "age", "of", "59", "years", "have", "been", "diagnosed", "with", "guillain", "barre", "syndrome", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"GUILLAIN", "BARRE", "SYNDROME\"", "AND", "DEMOGRAPHIC.\"AGE\"", "<", "\"59\""]}
{"key": "7c263ed6ac47126a133032da891a85de", "format": {"table": [0], "cond": [[0, 16, 0, "COMPLETE HEART BLOCK"], [0, 4, 2, 51]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "let me know the number of patients less than 51 years who have complete heart block primary disease.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"COMPLETE HEART BLOCK\" AND DEMOGRAPHIC.\"AGE\" < \"51\"", "question_refine_tok": ["let", "me", "know", "the", "number", "of", "patients", "less", "than", "51", "years", "who", "have", "complete", "heart", "block", "primary", "disease", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"COMPLETE", "HEART", "BLOCK\"", "AND", "DEMOGRAPHIC.\"AGE\"", "<", "\"51\""]}
{"key": "0d93657dce4a06c06948b081e977f977", "format": {"table": [0], "cond": [[0, 16, 0, "ABDOMINAL PAIN"], [0, 10, 1, 3]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many of the patients with abdominal pain remained admitted in hospital for more than 3 days?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"ABDOMINAL PAIN\" AND DEMOGRAPHIC.\"DAYS_STAY\" > \"3\"", "question_refine_tok": ["how", "many", "of", "the", "patients", "with", "abdominal", "pain", "remained", "admitted", "in", "hospital", "for", "more", "than", "3", "days", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"ABDOMINAL", "PAIN\"", "AND", "DEMOGRAPHIC.\"DAYS_STAY\"", ">", "\"3\""]}
{"key": "3108beb01fb8681e2648ed497ff6c5bd", "format": {"table": [0], "cond": [[0, 16, 0, "ANGIOEDEMA"], [0, 18, 2, 2076]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients with primary disease angioedema were born before 2076?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"ANGIOEDEMA\" AND DEMOGRAPHIC.\"DOB_YEAR\" < \"2076\"", "question_refine_tok": ["how", "many", "patients", "with", "primary", "disease", "angioedema", "were", "born", "before", "2076", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"ANGIOEDEMA\"", "AND", "DEMOGRAPHIC.\"DOB_YEAR\"", "<", "\"2076\""]}
{"key": "dffd5ee0ebb84be7f3dfbe83dfe1e99c", "format": {"table": [0], "cond": [[0, 16, 0, "SQUAMOUS CELL CARCINOMA ORAL TONGUE/SDA"], [0, 18, 2, 2170]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients are diagnosed with primary disease squamous cell carcinoma oral tongue/sda and born before 2170?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"SQUAMOUS CELL CARCINOMA ORAL TONGUE/SDA\" AND DEMOGRAPHIC.\"DOB_YEAR\" < \"2170\"", "question_refine_tok": ["how", "many", "patients", "are", "diagnosed", "with", "primary", "disease", "squamous", "cell", "carcinoma", "oral", "tongue", "/", "sda", "and", "born", "before", "2170", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"SQUAMOUS", "CELL", "CARCINOMA", "ORAL", "TONGUE/SDA\"", "AND", "DEMOGRAPHIC.\"DOB_YEAR\"", "<", "\"2170\""]}
{"key": "cd530f3f33c7eac83ad75947485ab83b", "format": {"table": [0], "cond": [[0, 16, 0, "COPD EXACERBATION"], [0, 18, 2, 1837]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many of the patients with copd exacerbation were born in the year less than 1837?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"COPD EXACERBATION\" AND DEMOGRAPHIC.\"DOB_YEAR\" < \"1837\"", "question_refine_tok": ["how", "many", "of", "the", "patients", "with", "copd", "exacerbation", "were", "born", "in", "the", "year", "less", "than", "1837", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"COPD", "EXACERBATION\"", "AND", "DEMOGRAPHIC.\"DOB_YEAR\"", "<", "\"1837\""]}
{"key": "164d691872a750a7c89efede372ae6f5", "format": {"table": [0], "cond": [[0, 16, 0, "TRANSIENT ISCHEMIC ATTACK"], [0, 18, 2, 2134]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients have born before the year 2134 with the primary disease transient ischemic attack?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"TRANSIENT ISCHEMIC ATTACK\" AND DEMOGRAPHIC.\"DOB_YEAR\" < \"2134\"", "question_refine_tok": ["how", "many", "patients", "have", "born", "before", "the", "year", "2134", "with", "the", "primary", "disease", "transient", "ischemic", "attack", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"TRANSIENT", "ISCHEMIC", "ATTACK\"", "AND", "DEMOGRAPHIC.\"DOB_YEAR\"", "<", "\"2134\""]}
{"key": "df68fc1654da3611020744df848df0dc", "format": {"table": [0], "cond": [[0, 16, 0, "RUQ PAIN"], [0, 19, 4, 2164.0]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of patients whose primary disease is ruq pain and who have died in or before the year 2164.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"RUQ PAIN\" AND DEMOGRAPHIC.\"DOD_YEAR\" <= \"2164.0\"", "question_refine_tok": ["count", "the", "number", "of", "patients", "whose", "primary", "disease", "is", "ruq", "pain", "and", "who", "have", "died", "in", "or", "before", "the", "year", "2164", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"RUQ", "PAIN\"", "AND", "DEMOGRAPHIC.\"DOD_YEAR\"", "<=", "\"2164.0\""]}
{"key": "b687936fb274984c5417d42ea4f762c5", "format": {"table": [0], "cond": [[0, 16, 0, "BOWEL OBSTRUCTION"], [0, 19, 4, 2126.0]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients died in or before year 2126 due to bowel obstruction?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"BOWEL OBSTRUCTION\" AND DEMOGRAPHIC.\"DOD_YEAR\" <= \"2126.0\"", "question_refine_tok": ["how", "many", "patients", "died", "in", "or", "before", "year", "2126", "due", "to", "bowel", "obstruction", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"BOWEL", "OBSTRUCTION\"", "AND", "DEMOGRAPHIC.\"DOD_YEAR\"", "<=", "\"2126.0\""]}
{"key": "644ef281e5f6df4e2eb81d2c9fb2e312", "format": {"table": [0], "cond": [[0, 16, 0, "STERNAL WOUND INFECTION"], [0, 19, 4, 2173.0]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "give me the number of patients whose primary disease is sternal wound infection and year of death is in or before 2173.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"STERNAL WOUND INFECTION\" AND DEMOGRAPHIC.\"DOD_YEAR\" <= \"2173.0\"", "question_refine_tok": ["give", "me", "the", "number", "of", "patients", "whose", "primary", "disease", "is", "sternal", "wound", "infection", "and", "year", "of", "death", "is", "in", "or", "before", "2173", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"STERNAL", "WOUND", "INFECTION\"", "AND", "DEMOGRAPHIC.\"DOD_YEAR\"", "<=", "\"2173.0\""]}
{"key": "7417d05c78b7d913005a7507a0c00ea3", "format": {"table": [0], "cond": [[0, 16, 0, "LEFT COLON CANCER"], [0, 19, 4, 2138.0]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients primarily with left colon cancer died in the year less than or equal to 2138?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"LEFT COLON CANCER\" AND DEMOGRAPHIC.\"DOD_YEAR\" <= \"2138.0\"", "question_refine_tok": ["how", "many", "patients", "primarily", "with", "left", "colon", "cancer", "died", "in", "the", "year", "less", "than", "or", "equal", "to", "2138", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"LEFT", "COLON", "CANCER\"", "AND", "DEMOGRAPHIC.\"DOD_YEAR\"", "<=", "\"2138.0\""]}
{"key": "288770ab3abb50b13f0531a779d391d5", "format": {"table": [0], "cond": [[0, 16, 0, "GUILLAIN BARRE SYNDROME"], [0, 19, 4, 2164.0]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many of the patients with guillain barre syndrome as primary disease died in the year less than or equal to 2164?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"GUILLAIN BARRE SYNDROME\" AND DEMOGRAPHIC.\"DOD_YEAR\" <= \"2164.0\"", "question_refine_tok": ["how", "many", "of", "the", "patients", "with", "guillain", "barre", "syndrome", "as", "primary", "disease", "died", "in", "the", "year", "less", "than", "or", "equal", "to", "2164", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"GUILLAIN", "BARRE", "SYNDROME\"", "AND", "DEMOGRAPHIC.\"DOD_YEAR\"", "<=", "\"2164.0\""]}
{"key": "8813189851cf05adbb60340f712d2e52", "format": {"table": [0], "cond": [[0, 16, 0, "ST ELEVATED MYOCARDIAL INFARCTION\\CARDIAC CATH"], [0, 22, 2, 2135]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients with st elevated myocardial infarction/cardiac catheterization primary disease were admitted to hospital before 2135?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"ST ELEVATED MYOCARDIAL INFARCTION\\CARDIAC CATH\" AND DEMOGRAPHIC.\"ADMITYEAR\" < \"2135\"", "question_refine_tok": ["how", "many", "patients", "with", "st", "elevated", "myocardial", "infarction", "/", "cardiac", "catheterization", "primary", "disease", "were", "admitted", "to", "hospital", "before", "2135", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"ST", "ELEVATED", "MYOCARDIAL", "INFARCTION\\CARDIAC", "CATH\"", "AND", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2135\""]}
{"key": "8cfecfa68618e0b476421f57c837df1d", "format": {"table": [0], "cond": [[0, 16, 0, "RUQ PAIN"], [0, 22, 2, 2131]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of patients admitted before 2131 due to ruq pain? ", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"RUQ PAIN\" AND DEMOGRAPHIC.\"ADMITYEAR\" < \"2131\"", "question_refine_tok": ["what", "is", "the", "number", "of", "patients", "admitted", "before", "2131", "due", "to", "ruq", "pain", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"RUQ", "PAIN\"", "AND", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2131\""]}
{"key": "23996211dbdaff427116c99b217e23c0", "format": {"table": [0, 2], "cond": [[0, 16, 0, "NEWBORN"], [2, 2, 0, 5361]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "out of total number of patients how many of the newborn (as primary disease) had icd9 code 5361", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"NEWBORN\" AND PROCEDURES.\"ICD9_CODE\" = \"5361\"", "question_refine_tok": ["out", "of", "total", "number", "of", "patients", "how", "many", "of", "the", "newborn", "(", "as", "primary", "disease", ")", "had", "icd9", "code", "5361"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"NEWBORN\"", "AND", "PROCEDURES.\"ICD9_CODE\"", "=", "\"5361\""]}
{"key": "ef1bf9985025b00a69bd30909aa0728a", "format": {"table": [0, 2], "cond": [[0, 16, 0, "HYPERGLYCEMIA"], [2, 2, 0, 4576]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "provide the number of patients whose primary disease is hyperglycemia and procedure icd9 code is 4576.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"HYPERGLYCEMIA\" AND PROCEDURES.\"ICD9_CODE\" = \"4576\"", "question_refine_tok": ["provide", "the", "number", "of", "patients", "whose", "primary", "disease", "is", "hyperglycemia", "and", "procedure", "icd9", "code", "is", "4576", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"HYPERGLYCEMIA\"", "AND", "PROCEDURES.\"ICD9_CODE\"", "=", "\"4576\""]}
{"key": "235a867f6f6aeaaa1083cc4409d0650c", "format": {"table": [0, 2], "cond": [[0, 16, 0, "RASH"], [2, 2, 0, 5091]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "give me the number of patients whose primary disease is rash and the procedure icd9 code is 5091.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"RASH\" AND PROCEDURES.\"ICD9_CODE\" = \"5091\"", "question_refine_tok": ["give", "me", "the", "number", "of", "patients", "whose", "primary", "disease", "is", "rash", "and", "the", "procedure", "icd9", "code", "is", "5091", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"RASH\"", "AND", "PROCEDURES.\"ICD9_CODE\"", "=", "\"5091\""]}
{"key": "55082387467b6695cb4f9d331a5b70bc", "format": {"table": [0, 2], "cond": [[0, 16, 0, "COMPLETE HEART BLOCK"], [2, 2, 0, 3512]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "find the number of patients with procedure icd9 code 3512 who have complete heart block primary disease.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"COMPLETE HEART BLOCK\" AND PROCEDURES.\"ICD9_CODE\" = \"3512\"", "question_refine_tok": ["find", "the", "number", "of", "patients", "with", "procedure", "icd9", "code", "3512", "who", "have", "complete", "heart", "block", "primary", "disease", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"COMPLETE", "HEART", "BLOCK\"", "AND", "PROCEDURES.\"ICD9_CODE\"", "=", "\"3512\""]}
{"key": "fbd07a319d9db8ab3b6fadb06deecac0", "format": {"table": [0, 2], "cond": [[0, 16, 0, "PNEUMONIA;HUMAN IMMUNODEFIENCY VIRUS;RULE OUT TUBERCULOSIS"], [2, 3, 0, "Aortocor bypas-2 cor art"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of patients whose primary disease is pneumonia;human immunodeficiency virus;rule out tuberculosis and procedure short title is aortocor bypas-2 cor art.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"PNEUMONIA;HUMAN IMMUNODEFIENCY VIRUS;RULE OUT TUBERCULOSIS\" AND PROCEDURES.\"SHORT_TITLE\" = \"Aortocor bypas-2 cor art\"", "question_refine_tok": ["count", "the", "number", "of", "patients", "whose", "primary", "disease", "is", "pneumonia;human", "immunodeficiency", "virus;rule", "out", "tuberculosis", "and", "procedure", "short", "title", "is", "aortocor", "bypas-2", "cor", "art", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"PNEUMONIA;HUMAN", "IMMUNODEFIENCY", "VIRUS;RULE", "OUT", "TUBERCULOSIS\"", "AND", "PROCEDURES.\"SHORT_TITLE\"", "=", "\"Aortocor", "bypas-2", "cor", "art\""]}
{"key": "0e7be1f00ab9c11db3a68f2b38554946", "format": {"table": [0, 2], "cond": [[0, 16, 0, "PNEUMONIA"], [2, 3, 0, "Circumcision"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of patients whose primary disease is pneumonia and procedure short title is circumcision.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"PNEUMONIA\" AND PROCEDURES.\"SHORT_TITLE\" = \"Circumcision\"", "question_refine_tok": ["count", "the", "number", "of", "patients", "whose", "primary", "disease", "is", "pneumonia", "and", "procedure", "short", "title", "is", "circumcision", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"PNEUMONIA\"", "AND", "PROCEDURES.\"SHORT_TITLE\"", "=", "\"Circumcision\""]}
{"key": "6733587071058e03d4cf59c17327bd93", "format": {"table": [0, 2], "cond": [[0, 16, 0, "SYNCOPE;TELEMETRY"], [2, 3, 0, "Partial glossectomy"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of patients with syncope; telemetry primary disease who had partial glossectomy procedure.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"SYNCOPE;TELEMETRY\" AND PROCEDURES.\"SHORT_TITLE\" = \"Partial glossectomy\"", "question_refine_tok": ["count", "the", "number", "of", "patients", "with", "syncope", ";", "telemetry", "primary", "disease", "who", "had", "partial", "glossectomy", "procedure", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"SYNCOPE;TELEMETRY\"", "AND", "PROCEDURES.\"SHORT_TITLE\"", "=", "\"Partial", "glossectomy\""]}
{"key": "e11dad7fe2b5d9fca945b6521ccec205", "format": {"table": [0, 2], "cond": [[0, 16, 0, "COPD EXACERBATION"], [2, 3, 0, "Exc chest cage bone les"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of patients diagnosed with primary disease copd exacerbation and with procedure exc chest cage bone les?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"COPD EXACERBATION\" AND PROCEDURES.\"SHORT_TITLE\" = \"Exc chest cage bone les\"", "question_refine_tok": ["what", "is", "the", "number", "of", "patients", "diagnosed", "with", "primary", "disease", "copd", "exacerbation", "and", "with", "procedure", "exc", "chest", "cage", "bone", "les", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"COPD", "EXACERBATION\"", "AND", "PROCEDURES.\"SHORT_TITLE\"", "=", "\"Exc", "chest", "cage", "bone", "les\""]}
{"key": "c58747ffe11d0c6a5659b879bb35437a", "format": {"table": [0, 2], "cond": [[0, 16, 0, "CORONARY ARTERY DISEASE\\CORONARY ARTERY BYPASS GRAFT WITH MVR; ? MAZE"], [2, 3, 0, "Ven cath renal dialysis"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients had the primary disease as coronary artery disease\\coronary artery bypass graft with mvr; ? maze and underwent the procedure named ven cath renal dialysis?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"CORONARY ARTERY DISEASE\\CORONARY ARTERY BYPASS GRAFT WITH MVR; ? MAZE\" AND PROCEDURES.\"SHORT_TITLE\" = \"Ven cath renal dialysis\"", "question_refine_tok": ["how", "many", "patients", "had", "the", "primary", "disease", "as", "coronary", "artery", "disease\\coronary", "artery", "bypass", "graft", "with", "mvr", ";", "?", "maze", "and", "underwent", "the", "procedure", "named", "ven", "cath", "renal", "dialysis", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"CORONARY", "ARTERY", "DISEASE\\CORONARY", "ARTERY", "BYPASS", "GRAFT", "WITH", "MVR;", "?", "MAZE\"", "AND", "PROCEDURES.\"SHORT_TITLE\"", "=", "\"Ven", "cath", "renal", "dialysis\""]}
{"key": "b0c559d13077f36af8ce296866ef4e46", "format": {"table": [0, 2], "cond": [[0, 16, 0, "HYPERGLYCEMIA;HYPONATREMIA"], [2, 3, 0, "Insert 2 vascular stents"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "give me the number of patients with primary disease hyperglycemia; hyponatremia who underwent insert 2 vascular stents procedure.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"HYPERGLYCEMIA;HYPONATREMIA\" AND PROCEDURES.\"SHORT_TITLE\" = \"Insert 2 vascular stents\"", "question_refine_tok": ["give", "me", "the", "number", "of", "patients", "with", "primary", "disease", "hyperglycemia", ";", "hyponatremia", "who", "underwent", "insert", "2", "vascular", "stents", "procedure", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"HYPERGLYCEMIA;HYPONATREMIA\"", "AND", "PROCEDURES.\"SHORT_TITLE\"", "=", "\"Insert", "2", "vascular", "stents\""]}
{"key": "e7c1c46e37c6120451f4f70a444febb6", "format": {"table": [0, 3], "cond": [[0, 16, 0, "OVERDOSE"], [3, 6, 0, "PR"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "let me know the number of patients taking drugs via pr route who have overdose primary disease.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"OVERDOSE\" AND PRESCRIPTIONS.\"ROUTE\" = \"PR\"", "question_refine_tok": ["let", "me", "know", "the", "number", "of", "patients", "taking", "drugs", "via", "pr", "route", "who", "have", "overdose", "primary", "disease", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"OVERDOSE\"", "AND", "PRESCRIPTIONS.\"ROUTE\"", "=", "\"PR\""]}
{"key": "8048d41f9725b0811f11286dd327bfae", "format": {"table": [0, 3], "cond": [[0, 16, 0, "PNEUMONIA"], [3, 6, 0, "IV DRIP"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of patients whose primary disease is pneumonia and with iv drip drug route?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"PNEUMONIA\" AND PRESCRIPTIONS.\"ROUTE\" = \"IV DRIP\"", "question_refine_tok": ["what", "is", "the", "number", "of", "patients", "whose", "primary", "disease", "is", "pneumonia", "and", "with", "iv", "drip", "drug", "route", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"PNEUMONIA\"", "AND", "PRESCRIPTIONS.\"ROUTE\"", "=", "\"IV", "DRIP\""]}
{"key": "79080b93e8ba6f50c8cabcec2090fc83", "format": {"table": [0, 3], "cond": [[0, 16, 0, "SIGMOID DIVERTICULITIS, COLOVESTICAL FISTULA/SDA"], [3, 6, 0, "DIALYS"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "provide the number of patients on dialys route of drug administration who have sigmoid diverticulitis, colovestical fistula/sda primary disease.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"SIGMOID DIVERTICULITIS, COLOVESTICAL FISTULA/SDA\" AND PRESCRIPTIONS.\"ROUTE\" = \"DIALYS\"", "question_refine_tok": ["provide", "the", "number", "of", "patients", "on", "dialys", "route", "of", "drug", "administration", "who", "have", "sigmoid", "diverticulitis", ",", "colovestical", "fistula", "/", "sda", "primary", "disease", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"SIGMOID", "DIVERTICULITIS,", "COLOVESTICAL", "FISTULA/SDA\"", "AND", "PRESCRIPTIONS.\"ROUTE\"", "=", "\"DIALYS\""]}
{"key": "3dd7d2a8e227b9e4fa09fa901d04b4be", "format": {"table": [0, 3], "cond": [[0, 16, 0, "GANGRENE"], [3, 6, 0, "TD"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many of the patients with gangrene as primary disease received drug via td route?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"GANGRENE\" AND PRESCRIPTIONS.\"ROUTE\" = \"TD\"", "question_refine_tok": ["how", "many", "of", "the", "patients", "with", "gangrene", "as", "primary", "disease", "received", "drug", "via", "td", "route", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"GANGRENE\"", "AND", "PRESCRIPTIONS.\"ROUTE\"", "=", "\"TD\""]}
{"key": "bdeda253f589dedd5b5aa7e60d16434e", "format": {"table": [0, 4], "cond": [[0, 16, 0, "BRAIN MASS;INTRACRANIAL HEMORRHAGE"], [4, 4, 0, "delta"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients with brain mass; intracranial hemorrhage primary disease had delta abnormal lab test status?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"BRAIN MASS;INTRACRANIAL HEMORRHAGE\" AND LAB.\"FLAG\" = \"delta\"", "question_refine_tok": ["how", "many", "patients", "with", "brain", "mass", ";", "intracranial", "hemorrhage", "primary", "disease", "had", "delta", "abnormal", "lab", "test", "status", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"BRAIN", "MASS;INTRACRANIAL", "HEMORRHAGE\"", "AND", "LAB.\"FLAG\"", "=", "\"delta\""]}
{"key": "f67a216485a2adbbd85137476a11c683", "format": {"table": [0, 4], "cond": [[0, 16, 0, "LEFT FEMUR FRACTURE"], [4, 4, 0, "abnormal"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients diagnosed with primary disease left femur fracture have abnormal lab test results?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"LEFT FEMUR FRACTURE\" AND LAB.\"FLAG\" = \"abnormal\"", "question_refine_tok": ["how", "many", "patients", "diagnosed", "with", "primary", "disease", "left", "femur", "fracture", "have", "abnormal", "lab", "test", "results", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"LEFT", "FEMUR", "FRACTURE\"", "AND", "LAB.\"FLAG\"", "=", "\"abnormal\""]}
{"key": "d306938a24afaffb8b713739dbe541f4", "format": {"table": [0, 4], "cond": [[0, 16, 0, "NEWBORN"], [4, 7, 0, "Joint Fluid"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients with newborn primary disease had joint fluid lab test?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"NEWBORN\" AND LAB.\"FLUID\" = \"Joint Fluid\"", "question_refine_tok": ["how", "many", "patients", "with", "newborn", "primary", "disease", "had", "joint", "fluid", "lab", "test", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"NEWBORN\"", "AND", "LAB.\"FLUID\"", "=", "\"Joint", "Fluid\""]}
{"key": "75b78588a13a4ecd6fcc61e9079c7bce", "format": {"table": [0, 4], "cond": [[0, 16, 0, "BRAIN MASS;INTRACRANIAL HEMORRHAGE"], [4, 7, 0, "Urine"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients are primarily suffering from brain mass; intracranial hemorrhage and their lab test fluid is urine?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"BRAIN MASS;INTRACRANIAL HEMORRHAGE\" AND LAB.\"FLUID\" = \"Urine\"", "question_refine_tok": ["how", "many", "patients", "are", "primarily", "suffering", "from", "brain", "mass", ";", "intracranial", "hemorrhage", "and", "their", "lab", "test", "fluid", "is", "urine", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"BRAIN", "MASS;INTRACRANIAL", "HEMORRHAGE\"", "AND", "LAB.\"FLUID\"", "=", "\"Urine\""]}
{"key": "0de90dcde51be36188b359fb70b6444b", "format": {"table": [0, 4], "cond": [[0, 16, 0, "MORBID OBESITY/SDA"], [4, 7, 0, "Ascites"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "give the number of patients whose primary disease is morbid obesity/sda and ascites taken as the lab test fluid.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"MORBID OBESITY/SDA\" AND LAB.\"FLUID\" = \"Ascites\"", "question_refine_tok": ["give", "the", "number", "of", "patients", "whose", "primary", "disease", "is", "morbid", "obesity", "/", "sda", "and", "ascites", "taken", "as", "the", "lab", "test", "fluid", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"MORBID", "OBESITY/SDA\"", "AND", "LAB.\"FLUID\"", "=", "\"Ascites\""]}
{"key": "2d083a14a1d0a857d55990e8bde311bc", "format": {"table": [0, 4], "cond": [[0, 16, 0, "MORBID OBESITY/SDA"], [4, 7, 0, "Urine"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients are diagnosed with primary disease morbid obesity/sda and tested for urine in lab?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"MORBID OBESITY/SDA\" AND LAB.\"FLUID\" = \"Urine\"", "question_refine_tok": ["how", "many", "patients", "are", "diagnosed", "with", "primary", "disease", "morbid", "obesity", "/", "sda", "and", "tested", "for", "urine", "in", "lab", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"MORBID", "OBESITY/SDA\"", "AND", "LAB.\"FLUID\"", "=", "\"Urine\""]}
{"key": "133721f20c40be81b8c655c9ac2d86ea", "format": {"table": [0], "cond": [[0, 4, 2, 50], [0, 10, 1, 15]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patient below 50 years of age stayed in hospital for more than 15 days?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"AGE\" < \"50\" AND DEMOGRAPHIC.\"DAYS_STAY\" > \"15\"", "question_refine_tok": ["how", "many", "patient", "below", "50", "years", "of", "age", "stayed", "in", "hospital", "for", "more", "than", "15", "days", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"AGE\"", "<", "\"50\"", "AND", "DEMOGRAPHIC.\"DAYS_STAY\"", ">", "\"15\""]}
{"key": "d5f869643dee48338f722c7f38ec5a9e", "format": {"table": [0], "cond": [[0, 4, 2, 89], [0, 10, 1, 1]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "provide me the number of patients who were hospitalized for more than a day and were less than 89 years of age.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"AGE\" < \"89\" AND DEMOGRAPHIC.\"DAYS_STAY\" > \"1\"", "question_refine_tok": ["provide", "me", "the", "number", "of", "patients", "who", "were", "hospitalized", "for", "more", "than", "a", "day", "and", "were", "less", "than", "89", "years", "of", "age", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"AGE\"", "<", "\"89\"", "AND", "DEMOGRAPHIC.\"DAYS_STAY\"", ">", "\"1\""]}
{"key": "56d406a2891185704722570dcf0cf8f6", "format": {"table": [0], "cond": [[0, 4, 2, 76], [0, 22, 2, 2179]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what number of patients admitted before the year 2179 were below 76 years of age?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"AGE\" < \"76\" AND DEMOGRAPHIC.\"ADMITYEAR\" < \"2179\"", "question_refine_tok": ["what", "number", "of", "patients", "admitted", "before", "the", "year", "2179", "were", "below", "76", "years", "of", "age", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"AGE\"", "<", "\"76\"", "AND", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2179\""]}
{"key": "d986909363d35524b9fd008b71ea141b", "format": {"table": [0, 1], "cond": [[0, 4, 2, 20], [1, 2, 0, "42731"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients are below 20 years of age diagnosed with icd9 code 42731?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"AGE\" < \"20\" AND DIAGNOSES.\"ICD9_CODE\" = \"42731\"", "question_refine_tok": ["how", "many", "patients", "are", "below", "20", "years", "of", "age", "diagnosed", "with", "icd9", "code", "42731", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"AGE\"", "<", "\"20\"", "AND", "DIAGNOSES.\"ICD9_CODE\"", "=", "\"42731\""]}
{"key": "4e11cb528d766efd28fa0360b433294c", "format": {"table": [0, 1], "cond": [[0, 4, 2, 41], [1, 2, 0, "34291"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "give me the number of patients whose diagnosis code is 34291 and age under 41 years.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"AGE\" < \"41\" AND DIAGNOSES.\"ICD9_CODE\" = \"34291\"", "question_refine_tok": ["give", "me", "the", "number", "of", "patients", "whose", "diagnosis", "code", "is", "34291", "and", "age", "under", "41", "years", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"AGE\"", "<", "\"41\"", "AND", "DIAGNOSES.\"ICD9_CODE\"", "=", "\"34291\""]}
{"key": "2721439d3171befac524caf343e499e1", "format": {"table": [0, 1], "cond": [[0, 4, 2, 76], [1, 2, 0, "99591"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients with diagnoses icd9 code 99591 are below the age of 76?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"AGE\" < \"76\" AND DIAGNOSES.\"ICD9_CODE\" = \"99591\"", "question_refine_tok": ["how", "many", "patients", "with", "diagnoses", "icd9", "code", "99591", "are", "below", "the", "age", "of", "76", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"AGE\"", "<", "\"76\"", "AND", "DIAGNOSES.\"ICD9_CODE\"", "=", "\"99591\""]}
{"key": "fa4124eafbd72ce96824d739f36fdd17", "format": {"table": [0, 1], "cond": [[0, 4, 2, 81], [1, 3, 0, "Hemochromatos-rbc trans"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many of the patients suffering from hemochromatos-rbc trans are aged below 81?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"AGE\" < \"81\" AND DIAGNOSES.\"SHORT_TITLE\" = \"Hemochromatos-rbc trans\"", "question_refine_tok": ["how", "many", "of", "the", "patients", "suffering", "from", "hemochromatos", "-", "rbc", "trans", "are", "aged", "below", "81", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"AGE\"", "<", "\"81\"", "AND", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"Hemochromatos-rbc", "trans\""]}
{"key": "fb835088e1d47998d03900d24a3f1c22", "format": {"table": [0, 1], "cond": [[0, 4, 2, 72], [1, 3, 0, "Stevens-Johnson-TEN syn"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients aged below 72 had stevens-johnson-ten syn?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"AGE\" < \"72\" AND DIAGNOSES.\"SHORT_TITLE\" = \"Stevens-Johnson-TEN syn\"", "question_refine_tok": ["how", "many", "patients", "aged", "below", "72", "had", "stevens", "-", "johnson", "-", "ten", "syn", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"AGE\"", "<", "\"72\"", "AND", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"Stevens-Johnson-TEN", "syn\""]}
{"key": "6215636e6b00c6ad4f7d90065ce127a3", "format": {"table": [0, 1], "cond": [[0, 4, 2, 31], [1, 3, 0, "Crnry athrscl natve vssl"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients less than 31 years of age have been diagnosed with crnry athrscl natve vssl?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"AGE\" < \"31\" AND DIAGNOSES.\"SHORT_TITLE\" = \"Crnry athrscl natve vssl\"", "question_refine_tok": ["how", "many", "patients", "less", "than", "31", "years", "of", "age", "have", "been", "diagnosed", "with", "crnry", "athrscl", "natve", "vssl", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"AGE\"", "<", "\"31\"", "AND", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"Crnry", "athrscl", "natve", "vssl\""]}
{"key": "5e932de01fa503e7596f02f68f37dc36", "format": {"table": [0, 1], "cond": [[0, 4, 2, 27], [1, 3, 0, "Malig neo ascend colon"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients are below 27 years of age and diagnosed with malig neo ascend colon?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"AGE\" < \"27\" AND DIAGNOSES.\"SHORT_TITLE\" = \"Malig neo ascend colon\"", "question_refine_tok": ["how", "many", "patients", "are", "below", "27", "years", "of", "age", "and", "diagnosed", "with", "malig", "neo", "ascend", "colon", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"AGE\"", "<", "\"27\"", "AND", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"Malig", "neo", "ascend", "colon\""]}
{"key": "2c4d5b33a95d1f5a1b023f67f0eabd5c", "format": {"table": [0, 1], "cond": [[0, 4, 2, 59], [1, 3, 0, "Open wound of head NEC"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "give me the number of patients with a diagnoses of other and unspecified open wound of head without mention of complication who were under 59 years of age.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"AGE\" < \"59\" AND DIAGNOSES.\"SHORT_TITLE\" = \"Open wound of head NEC\"", "question_refine_tok": ["give", "me", "the", "number", "of", "patients", "with", "a", "diagnoses", "of", "other", "and", "unspecified", "open", "wound", "of", "head", "without", "mention", "of", "complication", "who", "were", "under", "59", "years", "of", "age", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"AGE\"", "<", "\"59\"", "AND", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"Open", "wound", "of", "head", "NEC\""]}
{"key": "b1b1762817ef374e37999dcf4c4ed0ad", "format": {"table": [0, 1], "cond": [[0, 4, 2, 27], [1, 4, 0, "Hypoxemia"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients less than 27 years of age have been diagnosed with hypoxemia?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"AGE\" < \"27\" AND DIAGNOSES.\"LONG_TITLE\" = \"Hypoxemia\"", "question_refine_tok": ["how", "many", "patients", "less", "than", "27", "years", "of", "age", "have", "been", "diagnosed", "with", "hypoxemia", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"AGE\"", "<", "\"27\"", "AND", "DIAGNOSES.\"LONG_TITLE\"", "=", "\"Hypoxemia\""]}
{"key": "12fec892044a956edace5ef92488641a", "format": {"table": [0, 1], "cond": [[0, 4, 2, 71], [1, 4, 0, "Other specified procedures as the cause of abnormal reaction of patient, or of later complication, without mention of misadventure at time of procedure"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients below 71 years of age are diagnosed with procedures as the cause of abnormal reaction of patient, or of later complication, without mention of misadventure at time of procedure?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"AGE\" < \"71\" AND DIAGNOSES.\"LONG_TITLE\" = \"Other specified procedures as the cause of abnormal reaction of patient, or of later complication, without mention of misadventure at time of procedure\"", "question_refine_tok": ["how", "many", "patients", "below", "71", "years", "of", "age", "are", "diagnosed", "with", "procedures", "as", "the", "cause", "of", "abnormal", "reaction", "of", "patient", ",", "or", "of", "later", "complication", ",", "without", "mention", "of", "misadventure", "at", "time", "of", "procedure", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"AGE\"", "<", "\"71\"", "AND", "DIAGNOSES.\"LONG_TITLE\"", "=", "\"Other", "specified", "procedures", "as", "the", "cause", "of", "abnormal", "reaction", "of", "patient,", "or", "of", "later", "complication,", "without", "mention", "of", "misadventure", "at", "time", "of", "procedure\""]}
{"key": "0d6ab010fccf65b586876ba8cc4e88a4", "format": {"table": [0, 1], "cond": [[0, 4, 2, 74], [1, 4, 0, "Nonspecific elevation of levels of transaminase or lactic acid dehydrogenase [LDH]"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of patients whose age is beow 74 and diagnosed for non specific elavation of transaminase level or lactic acid dehydrogenase?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"AGE\" < \"74\" AND DIAGNOSES.\"LONG_TITLE\" = \"Nonspecific elevation of levels of transaminase or lactic acid dehydrogenase [LDH]\"", "question_refine_tok": ["what", "is", "the", "number", "of", "patients", "whose", "age", "is", "beow", "74", "and", "diagnosed", "for", "non", "specific", "elavation", "of", "transaminase", "level", "or", "lactic", "acid", "dehydrogenase", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"AGE\"", "<", "\"74\"", "AND", "DIAGNOSES.\"LONG_TITLE\"", "=", "\"Nonspecific", "elevation", "of", "levels", "of", "transaminase", "or", "lactic", "acid", "dehydrogenase", "[LDH]\""]}
{"key": "f52b3fd03ff274fd003946363d43c067", "format": {"table": [0, 1], "cond": [[0, 4, 2, 36], [1, 4, 0, "Hypotension of hemodialysis"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "provide me with the number of patients younger than 36 years who are diagnosed with hypotension of hemodialysis.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"AGE\" < \"36\" AND DIAGNOSES.\"LONG_TITLE\" = \"Hypotension of hemodialysis\"", "question_refine_tok": ["provide", "me", "with", "the", "number", "of", "patients", "younger", "than", "36", "years", "who", "are", "diagnosed", "with", "hypotension", "of", "hemodialysis", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"AGE\"", "<", "\"36\"", "AND", "DIAGNOSES.\"LONG_TITLE\"", "=", "\"Hypotension", "of", "hemodialysis\""]}
{"key": "7eca205d56061f2e851dae2436cf7916", "format": {"table": [0, 2], "cond": [[0, 4, 2, 76], [2, 2, 0, 3961]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of patients less than 76 years who have procedure icd9 code 3961?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"AGE\" < \"76\" AND PROCEDURES.\"ICD9_CODE\" = \"3961\"", "question_refine_tok": ["what", "is", "the", "number", "of", "patients", "less", "than", "76", "years", "who", "have", "procedure", "icd9", "code", "3961", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"AGE\"", "<", "\"76\"", "AND", "PROCEDURES.\"ICD9_CODE\"", "=", "\"3961\""]}
{"key": "5d37bfd001285e782f91c2e04ae07b43", "format": {"table": [0, 2], "cond": [[0, 4, 2, 55], [2, 2, 0, 540]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients aged below 55 years had the procedure icd9 code 540?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"AGE\" < \"55\" AND PROCEDURES.\"ICD9_CODE\" = \"540\"", "question_refine_tok": ["how", "many", "patients", "aged", "below", "55", "years", "had", "the", "procedure", "icd9", "code", "540", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"AGE\"", "<", "\"55\"", "AND", "PROCEDURES.\"ICD9_CODE\"", "=", "\"540\""]}
{"key": "160a796406a26331d3691df744d92a77", "format": {"table": [0, 2], "cond": [[0, 4, 2, 86], [2, 3, 0, "Sm bowel endoscopy NEC"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of patients less than 86 years who underwent other small intestine endoscopy procedure? ", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"AGE\" < \"86\" AND PROCEDURES.\"SHORT_TITLE\" = \"Sm bowel endoscopy NEC\"", "question_refine_tok": ["what", "is", "the", "number", "of", "patients", "less", "than", "86", "years", "who", "underwent", "other", "small", "intestine", "endoscopy", "procedure", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"AGE\"", "<", "\"86\"", "AND", "PROCEDURES.\"SHORT_TITLE\"", "=", "\"Sm", "bowel", "endoscopy", "NEC\""]}
{"key": "5d908eb30934dd82df7c0fc57d56ca95", "format": {"table": [0, 2], "cond": [[0, 4, 2, 56], [2, 3, 0, "Endovasc embol hd/nk ves"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of patients whose age is below 56 years and have undergone the procedure endovasc embol hd/nk ves?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"AGE\" < \"56\" AND PROCEDURES.\"SHORT_TITLE\" = \"Endovasc embol hd/nk ves\"", "question_refine_tok": ["what", "is", "the", "number", "of", "patients", "whose", "age", "is", "below", "56", "years", "and", "have", "undergone", "the", "procedure", "endovasc", "embol", "hd", "/", "nk", "ves", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"AGE\"", "<", "\"56\"", "AND", "PROCEDURES.\"SHORT_TITLE\"", "=", "\"Endovasc", "embol", "hd/nk", "ves\""]}
{"key": "12effe68754db28009eae4b7456dd01c", "format": {"table": [0, 2], "cond": [[0, 4, 2, 31], [2, 4, 0, "Enteral infusion of concentrated nutritional substances"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients below 31 years of age have had enteral infusion of concentrated nutritional substances?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"AGE\" < \"31\" AND PROCEDURES.\"LONG_TITLE\" = \"Enteral infusion of concentrated nutritional substances\"", "question_refine_tok": ["how", "many", "patients", "below", "31", "years", "of", "age", "have", "had", "enteral", "infusion", "of", "concentrated", "nutritional", "substances", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"AGE\"", "<", "\"31\"", "AND", "PROCEDURES.\"LONG_TITLE\"", "=", "\"Enteral", "infusion", "of", "concentrated", "nutritional", "substances\""]}
{"key": "dc60aac5a890d048aee9b3a20704f520", "format": {"table": [0, 3], "cond": [[0, 4, 2, 80], [3, 4, 0, "Cefpodoxime Proxetil"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "provide the number of patients less than 80 years who are taking cefpodoxime proxetil medication.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"AGE\" < \"80\" AND PRESCRIPTIONS.\"DRUG\" = \"Cefpodoxime Proxetil\"", "question_refine_tok": ["provide", "the", "number", "of", "patients", "less", "than", "80", "years", "who", "are", "taking", "cefpodoxime", "proxetil", "medication", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"AGE\"", "<", "\"80\"", "AND", "PRESCRIPTIONS.\"DRUG\"", "=", "\"Cefpodoxime", "Proxetil\""]}
{"key": "762c57bcb5f27c1dee99baa8ef472af1", "format": {"table": [0, 3], "cond": [[0, 4, 2, 43], [3, 4, 0, "Transplant Self Medication Program"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of patients less than 43 years who have transplant self medication program?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"AGE\" < \"43\" AND PRESCRIPTIONS.\"DRUG\" = \"Transplant Self Medication Program\"", "question_refine_tok": ["what", "is", "the", "number", "of", "patients", "less", "than", "43", "years", "who", "have", "transplant", "self", "medication", "program", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"AGE\"", "<", "\"43\"", "AND", "PRESCRIPTIONS.\"DRUG\"", "=", "\"Transplant", "Self", "Medication", "Program\""]}
{"key": "23e255f949108cdf9b493f42c2b82775", "format": {"table": [0, 3], "cond": [[0, 4, 2, 58], [3, 4, 0, "Nitroglycerin SL"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of patients less than 58 years who have nitroglycerin sl prescription?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"AGE\" < \"58\" AND PRESCRIPTIONS.\"DRUG\" = \"Nitroglycerin SL\"", "question_refine_tok": ["what", "is", "the", "number", "of", "patients", "less", "than", "58", "years", "who", "have", "nitroglycerin", "sl", "prescription", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"AGE\"", "<", "\"58\"", "AND", "PRESCRIPTIONS.\"DRUG\"", "=", "\"Nitroglycerin", "SL\""]}
{"key": "76c1aefdfef09861fbc4ac2156b1aea0", "format": {"table": [0, 3], "cond": [[0, 4, 2, 48], [3, 4, 0, "PHENYLEPHrine"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of patients below 48 years of age and with drug name phenylephrine?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"AGE\" < \"48\" AND PRESCRIPTIONS.\"DRUG\" = \"PHENYLEPHrine\"", "question_refine_tok": ["what", "is", "the", "number", "of", "patients", "below", "48", "years", "of", "age", "and", "with", "drug", "name", "phenylephrine", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"AGE\"", "<", "\"48\"", "AND", "PRESCRIPTIONS.\"DRUG\"", "=", "\"PHENYLEPHrine\""]}
{"key": "7c3cfb59de28f153ae52cb4f12f242f3", "format": {"table": [0, 3], "cond": [[0, 4, 2, 76], [3, 4, 0, "Heparin Flush PICC (100 units/ml)"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "tell me the number of patients less than 76 years of age with prescription of heparin flush picc (100 units/ml) drug.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"AGE\" < \"76\" AND PRESCRIPTIONS.\"DRUG\" = \"Heparin Flush PICC (100 units/ml)\"", "question_refine_tok": ["tell", "me", "the", "number", "of", "patients", "less", "than", "76", "years", "of", "age", "with", "prescription", "of", "heparin", "flush", "picc", "(", "100", "units", "/", "ml", ")", "drug", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"AGE\"", "<", "\"76\"", "AND", "PRESCRIPTIONS.\"DRUG\"", "=", "\"Heparin", "Flush", "PICC", "(100", "units/ml)\""]}
{"key": "e047b0c085f60c0f0e9489f3cde9ace5", "format": {"table": [0, 3], "cond": [[0, 4, 2, 80], [3, 5, 0, "AZTR1000FB"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "provide the number of patients with drug code aztr1000fb aged less than 80 years.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"AGE\" < \"80\" AND PRESCRIPTIONS.\"FORMULARY_DRUG_CD\" = \"AZTR1000FB\"", "question_refine_tok": ["provide", "the", "number", "of", "patients", "with", "drug", "code", "aztr1000fb", "aged", "less", "than", "80", "years", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"AGE\"", "<", "\"80\"", "AND", "PRESCRIPTIONS.\"FORMULARY_DRUG_CD\"", "=", "\"AZTR1000FB\""]}
{"key": "d9c750653f31b6bfbc3f46dbbc9b07cf", "format": {"table": [0, 3], "cond": [[0, 4, 2, 64], [3, 5, 0, "WARF1"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "find the number of patients whose drug code is warf1 and age below 64 years.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"AGE\" < \"64\" AND PRESCRIPTIONS.\"FORMULARY_DRUG_CD\" = \"WARF1\"", "question_refine_tok": ["find", "the", "number", "of", "patients", "whose", "drug", "code", "is", "warf1", "and", "age", "below", "64", "years", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"AGE\"", "<", "\"64\"", "AND", "PRESCRIPTIONS.\"FORMULARY_DRUG_CD\"", "=", "\"WARF1\""]}
{"key": "e1e450dbf28d8b89bab06972b279ad89", "format": {"table": [0, 3], "cond": [[0, 4, 2, 55], [3, 5, 0, "SYRG1"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "give the number of patients who are under the age of 55 and their drug code is syrg1.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"AGE\" < \"55\" AND PRESCRIPTIONS.\"FORMULARY_DRUG_CD\" = \"SYRG1\"", "question_refine_tok": ["give", "the", "number", "of", "patients", "who", "are", "under", "the", "age", "of", "55", "and", "their", "drug", "code", "is", "syrg1", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"AGE\"", "<", "\"55\"", "AND", "PRESCRIPTIONS.\"FORMULARY_DRUG_CD\"", "=", "\"SYRG1\""]}
{"key": "d6581fcec2a0ff3b639e8379135855ca", "format": {"table": [0, 3], "cond": [[0, 4, 2, 67], [3, 5, 0, "NS451000"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients below 67 years of age have been prescribed the drug with code ns451000?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"AGE\" < \"67\" AND PRESCRIPTIONS.\"FORMULARY_DRUG_CD\" = \"NS451000\"", "question_refine_tok": ["how", "many", "patients", "below", "67", "years", "of", "age", "have", "been", "prescribed", "the", "drug", "with", "code", "ns451000", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"AGE\"", "<", "\"67\"", "AND", "PRESCRIPTIONS.\"FORMULARY_DRUG_CD\"", "=", "\"NS451000\""]}
{"key": "441766c7fa17df073dbf623a71f5362e", "format": {"table": [0, 3], "cond": [[0, 4, 2, 31], [3, 5, 0, "NS100"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many of the patients aged below 31 were treated with ns100?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"AGE\" < \"31\" AND PRESCRIPTIONS.\"FORMULARY_DRUG_CD\" = \"NS100\"", "question_refine_tok": ["how", "many", "of", "the", "patients", "aged", "below", "31", "were", "treated", "with", "ns100", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"AGE\"", "<", "\"31\"", "AND", "PRESCRIPTIONS.\"FORMULARY_DRUG_CD\"", "=", "\"NS100\""]}
{"key": "563555bc05aa09e5e2bbd65d715b34c0", "format": {"table": [0, 3], "cond": [[0, 4, 2, 79], [3, 5, 0, "LABE100I"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients aged below 79 years had a drug cod labe100i?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"AGE\" < \"79\" AND PRESCRIPTIONS.\"FORMULARY_DRUG_CD\" = \"LABE100I\"", "question_refine_tok": ["how", "many", "patients", "aged", "below", "79", "years", "had", "a", "drug", "cod", "labe100i", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"AGE\"", "<", "\"79\"", "AND", "PRESCRIPTIONS.\"FORMULARY_DRUG_CD\"", "=", "\"LABE100I\""]}
{"key": "cc47c908328cf652ebbb1722b863f0ec", "format": {"table": [0, 3], "cond": [[0, 4, 2, 81], [3, 5, 0, "PRISMAB32K25000"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many of the patients aged below 81 were treated with drug code prismab32k25000?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"AGE\" < \"81\" AND PRESCRIPTIONS.\"FORMULARY_DRUG_CD\" = \"PRISMAB32K25000\"", "question_refine_tok": ["how", "many", "of", "the", "patients", "aged", "below", "81", "were", "treated", "with", "drug", "code", "prismab32k25000", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"AGE\"", "<", "\"81\"", "AND", "PRESCRIPTIONS.\"FORMULARY_DRUG_CD\"", "=", "\"PRISMAB32K25000\""]}
{"key": "6961f7e5922482fc78f61e0d647ec7f9", "format": {"table": [0, 3], "cond": [[0, 4, 2, 45], [3, 5, 0, "GLYC1R"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of patients less than 45 years who have drug code glyc1r?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"AGE\" < \"45\" AND PRESCRIPTIONS.\"FORMULARY_DRUG_CD\" = \"GLYC1R\"", "question_refine_tok": ["what", "is", "the", "number", "of", "patients", "less", "than", "45", "years", "who", "have", "drug", "code", "glyc1r", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"AGE\"", "<", "\"45\"", "AND", "PRESCRIPTIONS.\"FORMULARY_DRUG_CD\"", "=", "\"GLYC1R\""]}
{"key": "0812d1beaa8c0f11029df18c22becbfb", "format": {"table": [0, 3], "cond": [[0, 4, 2, 80], [3, 6, 0, "NG"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "provide the number of patients under the age of 80whose drug route is ng.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"AGE\" < \"80\" AND PRESCRIPTIONS.\"ROUTE\" = \"NG\"", "question_refine_tok": ["provide", "the", "number", "of", "patients", "under", "the", "age", "of", "80whose", "drug", "route", "is", "ng", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"AGE\"", "<", "\"80\"", "AND", "PRESCRIPTIONS.\"ROUTE\"", "=", "\"NG\""]}
{"key": "e7e973eb81b9de1e049edc0ae649b488", "format": {"table": [0, 4], "cond": [[0, 4, 2, 71], [4, 2, 0, 50818]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients are below 71 years of age and tested with lab item id 50818?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"AGE\" < \"71\" AND LAB.\"ITEMID\" = \"50818\"", "question_refine_tok": ["how", "many", "patients", "are", "below", "71", "years", "of", "age", "and", "tested", "with", "lab", "item", "i", "d", "50818", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"AGE\"", "<", "\"71\"", "AND", "LAB.\"ITEMID\"", "=", "\"50818\""]}
{"key": "80ee3f85230915524540a427d4f8f773", "format": {"table": [0, 4], "cond": [[0, 4, 2, 83], [4, 6, 0, "Calculated Total CO2"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients were there who were aged less than 83 years and with a calculated total co2 lab test done?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"AGE\" < \"83\" AND LAB.\"LABEL\" = \"Calculated Total CO2\"", "question_refine_tok": ["how", "many", "patients", "were", "there", "who", "were", "aged", "less", "than", "83", "years", "and", "with", "a", "calculated", "total", "co2", "lab", "test", "done", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"AGE\"", "<", "\"83\"", "AND", "LAB.\"LABEL\"", "=", "\"Calculated", "Total", "CO2\""]}
{"key": "b40daf9861865b22b90021850b12a503", "format": {"table": [0, 4], "cond": [[0, 4, 2, 79], [4, 7, 0, "Joint Fluid"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of patients less than 79 years who had joint fluid lab test done?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"AGE\" < \"79\" AND LAB.\"FLUID\" = \"Joint Fluid\"", "question_refine_tok": ["what", "is", "the", "number", "of", "patients", "less", "than", "79", "years", "who", "had", "joint", "fluid", "lab", "test", "done", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"AGE\"", "<", "\"79\"", "AND", "LAB.\"FLUID\"", "=", "\"Joint", "Fluid\""]}
{"key": "2749fa45de5e435c68e571a49c1b5644", "format": {"table": [0, 4], "cond": [[0, 4, 2, 45], [4, 7, 0, "Joint Fluid"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of patients less than 45 years who had joint fluid lab test.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"AGE\" < \"45\" AND LAB.\"FLUID\" = \"Joint Fluid\"", "question_refine_tok": ["count", "the", "number", "of", "patients", "less", "than", "45", "years", "who", "had", "joint", "fluid", "lab", "test", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"AGE\"", "<", "\"45\"", "AND", "LAB.\"FLUID\"", "=", "\"Joint", "Fluid\""]}
{"key": "9477db2ed5deff7959e82cba99f03ccc", "format": {"table": [0, 4], "cond": [[0, 4, 2, 47], [4, 7, 0, "Cerebrospinal Fluid (CSF)"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients aged below 47 years had the lab test fluid cerebrospinal fluid?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"AGE\" < \"47\" AND LAB.\"FLUID\" = \"Cerebrospinal Fluid (CSF)\"", "question_refine_tok": ["how", "many", "patients", "aged", "below", "47", "years", "had", "the", "lab", "test", "fluid", "cerebrospinal", "fluid", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"AGE\"", "<", "\"47\"", "AND", "LAB.\"FLUID\"", "=", "\"Cerebrospinal", "Fluid", "(CSF)\""]}
{"key": "9929ab98f8f699285174a732dcefa8fb", "format": {"table": [0, 4], "cond": [[0, 4, 2, 47], [4, 7, 0, "Joint Fluid"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "find the number of patients under the age of 47 who had joint fluid as lab test fluid.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"AGE\" < \"47\" AND LAB.\"FLUID\" = \"Joint Fluid\"", "question_refine_tok": ["find", "the", "number", "of", "patients", "under", "the", "age", "of", "47", "who", "had", "joint", "fluid", "as", "lab", "test", "fluid", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"AGE\"", "<", "\"47\"", "AND", "LAB.\"FLUID\"", "=", "\"Joint", "Fluid\""]}
{"key": "58a51b8b207344a9cfd6602bf16a5974", "format": {"table": [0, 4], "cond": [[0, 4, 2, 61], [4, 8, 0, "Blood Gas"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of patients less than 61 years categorized under blood gas lab test.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"AGE\" < \"61\" AND LAB.\"CATEGORY\" = \"Blood Gas\"", "question_refine_tok": ["count", "the", "number", "of", "patients", "less", "than", "61", "years", "categorized", "under", "blood", "gas", "lab", "test", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"AGE\"", "<", "\"61\"", "AND", "LAB.\"CATEGORY\"", "=", "\"Blood", "Gas\""]}
{"key": "dac8ef3e72216586667d9798cef1a4f4", "format": {"table": [0, 1], "cond": [[0, 10, 1, 34], [1, 2, 0, "261"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of patients who stayed in the hospital for more than 34 days and diagnosed under icd9 code 261?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"DAYS_STAY\" > \"34\" AND DIAGNOSES.\"ICD9_CODE\" = \"261\"", "question_refine_tok": ["what", "is", "the", "number", "of", "patients", "who", "stayed", "in", "the", "hospital", "for", "more", "than", "34", "days", "and", "diagnosed", "under", "icd9", "code", "261", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DAYS_STAY\"", ">", "\"34\"", "AND", "DIAGNOSES.\"ICD9_CODE\"", "=", "\"261\""]}
{"key": "c1f1c08a5022f846ef75fc5a44cdde21", "format": {"table": [0, 1], "cond": [[0, 10, 1, 6], [1, 4, 0, "Need for prophylactic vaccination and inoculation against viral hepatitis"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "find the number of patients diagnosed with the need for prophylactic vaccination and inoculation against viral hepatitis who had to stay for more than 6 days in hospital.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"DAYS_STAY\" > \"6\" AND DIAGNOSES.\"LONG_TITLE\" = \"Need for prophylactic vaccination and inoculation against viral hepatitis\"", "question_refine_tok": ["find", "the", "number", "of", "patients", "diagnosed", "with", "the", "need", "for", "prophylactic", "vaccination", "and", "inoculation", "against", "viral", "hepatitis", "who", "had", "to", "stay", "for", "more", "than", "6", "days", "in", "hospital", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DAYS_STAY\"", ">", "\"6\"", "AND", "DIAGNOSES.\"LONG_TITLE\"", "=", "\"Need", "for", "prophylactic", "vaccination", "and", "inoculation", "against", "viral", "hepatitis\""]}
{"key": "19b619bf2cb57190be0fb22e8618d105", "format": {"table": [0, 2], "cond": [[0, 10, 1, 7], [2, 2, 0, 5732]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of patients who stayed in hospital above 7 days operated with procedure icd9 code 5732?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"DAYS_STAY\" > \"7\" AND PROCEDURES.\"ICD9_CODE\" = \"5732\"", "question_refine_tok": ["what", "is", "the", "number", "of", "patients", "who", "stayed", "in", "hospital", "above", "7", "days", "operated", "with", "procedure", "icd9", "code", "5732", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DAYS_STAY\"", ">", "\"7\"", "AND", "PROCEDURES.\"ICD9_CODE\"", "=", "\"5732\""]}
{"key": "cd5589bdc1f9a057b0d6b0824bb087f0", "format": {"table": [0, 2], "cond": [[0, 10, 1, 13], [2, 2, 0, 4105]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "provide the number of patients who have stayed in the hospital for more than 13 days and whose procedure icd9 code is 4105.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"DAYS_STAY\" > \"13\" AND PROCEDURES.\"ICD9_CODE\" = \"4105\"", "question_refine_tok": ["provide", "the", "number", "of", "patients", "who", "have", "stayed", "in", "the", "hospital", "for", "more", "than", "13", "days", "and", "whose", "procedure", "icd9", "code", "is", "4105", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DAYS_STAY\"", ">", "\"13\"", "AND", "PROCEDURES.\"ICD9_CODE\"", "=", "\"4105\""]}
{"key": "6f6415819ef9e03e1e78a3ca96b38382", "format": {"table": [0, 2], "cond": [[0, 10, 1, 29], [2, 2, 0, 5091]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what number of patients with procedure icd9 code 5091 stayed in the hospital for more than 29 days?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"DAYS_STAY\" > \"29\" AND PROCEDURES.\"ICD9_CODE\" = \"5091\"", "question_refine_tok": ["what", "number", "of", "patients", "with", "procedure", "icd9", "code", "5091", "stayed", "in", "the", "hospital", "for", "more", "than", "29", "days", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DAYS_STAY\"", ">", "\"29\"", "AND", "PROCEDURES.\"ICD9_CODE\"", "=", "\"5091\""]}
{"key": "2682eceaeedf11522b6abc8e10d7e957", "format": {"table": [0, 3], "cond": [[0, 10, 1, 2], [3, 3, 0, "MAIN"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients on main drug stayed for more than 2 days at hospital?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"DAYS_STAY\" > \"2\" AND PRESCRIPTIONS.\"DRUG_TYPE\" = \"MAIN\"", "question_refine_tok": ["how", "many", "patients", "on", "main", "drug", "stayed", "for", "more", "than", "2", "days", "at", "hospital", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DAYS_STAY\"", ">", "\"2\"", "AND", "PRESCRIPTIONS.\"DRUG_TYPE\"", "=", "\"MAIN\""]}
{"key": "58bbfb154948177301fae8878c115125", "format": {"table": [0, 3], "cond": [[0, 10, 1, 17], [3, 4, 0, "Sulfameth/Trimethoprim DS"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of patients on sulfameth/trimethoprim ds prescription who were hospitalized for more than 17 days.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"DAYS_STAY\" > \"17\" AND PRESCRIPTIONS.\"DRUG\" = \"Sulfameth/Trimethoprim DS\"", "question_refine_tok": ["count", "the", "number", "of", "patients", "on", "sulfameth", "/", "trimethoprim", "ds", "prescription", "who", "were", "hospitalized", "for", "more", "than", "17", "days", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DAYS_STAY\"", ">", "\"17\"", "AND", "PRESCRIPTIONS.\"DRUG\"", "=", "\"Sulfameth/Trimethoprim", "DS\""]}
{"key": "cccadd83cf78de2d4da29ed42b30df7b", "format": {"table": [0, 3], "cond": [[0, 10, 1, 29], [3, 4, 0, "Miconazole Powder 2%"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients on miconazole powder 2% prescription have been hospitalized for more than 29 days?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"DAYS_STAY\" > \"29\" AND PRESCRIPTIONS.\"DRUG\" = \"Miconazole Powder 2%\"", "question_refine_tok": ["how", "many", "patients", "on", "miconazole", "powder", "2", "%", "prescription", "have", "been", "hospitalized", "for", "more", "than", "29", "days", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DAYS_STAY\"", ">", "\"29\"", "AND", "PRESCRIPTIONS.\"DRUG\"", "=", "\"Miconazole", "Powder", "2%\""]}
{"key": "f42855d790c60799f862200ab51bfbd3", "format": {"table": [0, 3], "cond": [[0, 10, 1, 11], [3, 4, 0, "Chlorothiazide"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "tell me the number of patients on chlorothiazide prescription who have been hospitalized for more than 11 days.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"DAYS_STAY\" > \"11\" AND PRESCRIPTIONS.\"DRUG\" = \"Chlorothiazide\"", "question_refine_tok": ["tell", "me", "the", "number", "of", "patients", "on", "chlorothiazide", "prescription", "who", "have", "been", "hospitalized", "for", "more", "than", "11", "days", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DAYS_STAY\"", ">", "\"11\"", "AND", "PRESCRIPTIONS.\"DRUG\"", "=", "\"Chlorothiazide\""]}
{"key": "223770a07fb8c8203d65e98d3fb87958", "format": {"table": [0, 4], "cond": [[0, 10, 1, 9], [4, 6, 0, "Promyelocytes"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "give me the number of patients who had promyelocytes lab test and were admitted for more than 9 days in hospital.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"DAYS_STAY\" > \"9\" AND LAB.\"LABEL\" = \"Promyelocytes\"", "question_refine_tok": ["give", "me", "the", "number", "of", "patients", "who", "had", "promyelocytes", "lab", "test", "and", "were", "admitted", "for", "more", "than", "9", "days", "in", "hospital", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DAYS_STAY\"", ">", "\"9\"", "AND", "LAB.\"LABEL\"", "=", "\"Promyelocytes\""]}
{"key": "041c8acdd0d9dab2c05dcd9aae709c9c", "format": {"table": [0, 4], "cond": [[0, 10, 1, 6], [4, 6, 0, "Uptake Ratio"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients have stayed in the hospital for more than 6 days with a lab test uptake ratio?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"DAYS_STAY\" > \"6\" AND LAB.\"LABEL\" = \"Uptake Ratio\"", "question_refine_tok": ["how", "many", "patients", "have", "stayed", "in", "the", "hospital", "for", "more", "than", "6", "days", "with", "a", "lab", "test", "uptake", "ratio", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DAYS_STAY\"", ">", "\"6\"", "AND", "LAB.\"LABEL\"", "=", "\"Uptake", "Ratio\""]}
{"key": "c93f08326c096ef125416bd2da725911", "format": {"table": [0, 4], "cond": [[0, 10, 1, 15], [4, 6, 0, "Homocysteine"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "among patients who remained admitted in the hospital more than 15 days, how many of them had a lab test for homocysteine?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"DAYS_STAY\" > \"15\" AND LAB.\"LABEL\" = \"Homocysteine\"", "question_refine_tok": ["among", "patients", "who", "remained", "admitted", "in", "the", "hospital", "more", "than", "15", "days", ",", "how", "many", "of", "them", "had", "a", "lab", "test", "for", "homocysteine", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DAYS_STAY\"", ">", "\"15\"", "AND", "LAB.\"LABEL\"", "=", "\"Homocysteine\""]}
{"key": "26ee297be63125c9cfd7f44a7f20b9b4", "format": {"table": [0, 4], "cond": [[0, 10, 1, 2], [4, 6, 0, "Calcium, Total"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients stayed in the hospital for more than 2 days and their lab test name is calcium, total?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"DAYS_STAY\" > \"2\" AND LAB.\"LABEL\" = \"Calcium, Total\"", "question_refine_tok": ["how", "many", "patients", "stayed", "in", "the", "hospital", "for", "more", "than", "2", "days", "and", "their", "lab", "test", "name", "is", "calcium", ",", "total", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DAYS_STAY\"", ">", "\"2\"", "AND", "LAB.\"LABEL\"", "=", "\"Calcium,", "Total\""]}
{"key": "45b261bc2672cfb0474bc7ef8702cd90", "format": {"table": [0, 4], "cond": [[0, 10, 1, 27], [4, 6, 0, "Magnesium"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "provide me the number of patients who stayed in the hospital for more than 27 days and had magnesium lab test.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"DAYS_STAY\" > \"27\" AND LAB.\"LABEL\" = \"Magnesium\"", "question_refine_tok": ["provide", "me", "the", "number", "of", "patients", "who", "stayed", "in", "the", "hospital", "for", "more", "than", "27", "days", "and", "had", "magnesium", "lab", "test", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DAYS_STAY\"", ">", "\"27\"", "AND", "LAB.\"LABEL\"", "=", "\"Magnesium\""]}
{"key": "a40fd92f9acfa57c7590f47f47d476a9", "format": {"table": [0, 4], "cond": [[0, 10, 1, 5], [4, 6, 0, "Iron"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of patients who have stayed in the hospital for more than 5 days and done the lab test iron.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"DAYS_STAY\" > \"5\" AND LAB.\"LABEL\" = \"Iron\"", "question_refine_tok": ["count", "the", "number", "of", "patients", "who", "have", "stayed", "in", "the", "hospital", "for", "more", "than", "5", "days", "and", "done", "the", "lab", "test", "iron", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DAYS_STAY\"", ">", "\"5\"", "AND", "LAB.\"LABEL\"", "=", "\"Iron\""]}
{"key": "cff2df672f7796494d24cc9f6f2c7fbe", "format": {"table": [0, 4], "cond": [[0, 10, 1, 2], [4, 7, 0, "Ascites"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "among the patients who stayed at hospital for more than 2 days, how many of them had a lab test for ascites?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"DAYS_STAY\" > \"2\" AND LAB.\"FLUID\" = \"Ascites\"", "question_refine_tok": ["among", "the", "patients", "who", "stayed", "at", "hospital", "for", "more", "than", "2", "days", ",", "how", "many", "of", "them", "had", "a", "lab", "test", "for", "ascites", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DAYS_STAY\"", ">", "\"2\"", "AND", "LAB.\"FLUID\"", "=", "\"Ascites\""]}
{"key": "9e0adb1842a05975ad394d23099df416", "format": {"table": [0, 4], "cond": [[0, 10, 1, 2], [4, 7, 0, "Blood"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "give the number of patients who have stayed in the hospital for more than 2 days and whose lab test fluid is blood.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"DAYS_STAY\" > \"2\" AND LAB.\"FLUID\" = \"Blood\"", "question_refine_tok": ["give", "the", "number", "of", "patients", "who", "have", "stayed", "in", "the", "hospital", "for", "more", "than", "2", "days", "and", "whose", "lab", "test", "fluid", "is", "blood", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DAYS_STAY\"", ">", "\"2\"", "AND", "LAB.\"FLUID\"", "=", "\"Blood\""]}
{"key": "b8fbc12935329c2b4a36acdeb8ad37af", "format": {"table": [0, 4], "cond": [[0, 10, 1, 4], [4, 8, 0, "Chemistry"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients who stayed in hospital for more than 4 days had clinical chemistry tests?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"DAYS_STAY\" > \"4\" AND LAB.\"CATEGORY\" = \"Chemistry\"", "question_refine_tok": ["how", "many", "patients", "who", "stayed", "in", "hospital", "for", "more", "than", "4", "days", "had", "clinical", "chemistry", "tests", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DAYS_STAY\"", ">", "\"4\"", "AND", "LAB.\"CATEGORY\"", "=", "\"Chemistry\""]}
{"key": "12dc404ee1f1badb21b2675270f4742a", "format": {"table": [0, 4], "cond": [[0, 10, 1, 6], [4, 8, 0, "Chemistry"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of patients whose hospital stay is above 6 days and with lab test category chemistry?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"DAYS_STAY\" > \"6\" AND LAB.\"CATEGORY\" = \"Chemistry\"", "question_refine_tok": ["what", "is", "the", "number", "of", "patients", "whose", "hospital", "stay", "is", "above", "6", "days", "and", "with", "lab", "test", "category", "chemistry", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DAYS_STAY\"", ">", "\"6\"", "AND", "LAB.\"CATEGORY\"", "=", "\"Chemistry\""]}
{"key": "c43a3710a18e64ac1497eedc6ad00bb5", "format": {"table": [0, 1], "cond": [[0, 18, 2, 2156], [1, 3, 0, "Chrnc hpt C wo hpat coma"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients are born before the year 2156 and diagnosed with chrnc hpt c wo hpat coma?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"DOB_YEAR\" < \"2156\" AND DIAGNOSES.\"SHORT_TITLE\" = \"Chrnc hpt C wo hpat coma\"", "question_refine_tok": ["how", "many", "patients", "are", "born", "before", "the", "year", "2156", "and", "diagnosed", "with", "chrnc", "hpt", "c", "wo", "hpat", "coma", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DOB_YEAR\"", "<", "\"2156\"", "AND", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"Chrnc", "hpt", "C", "wo", "hpat", "coma\""]}
{"key": "c77d73f4a197fba59e043eadd4f111f7", "format": {"table": [0, 1], "cond": [[0, 18, 2, 2197], [1, 3, 0, "Neutropenia NOS"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "calculate the number of patients born in the year less than 2197 and had neutropenia nos", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"DOB_YEAR\" < \"2197\" AND DIAGNOSES.\"SHORT_TITLE\" = \"Neutropenia NOS\"", "question_refine_tok": ["calculate", "the", "number", "of", "patients", "born", "in", "the", "year", "less", "than", "2197", "and", "had", "neutropenia", "nos"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DOB_YEAR\"", "<", "\"2197\"", "AND", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"Neutropenia", "NOS\""]}
{"key": "1c00c5d2d9805f9930e13291bdf741f5", "format": {"table": [0, 1], "cond": [[0, 18, 2, 2095], [1, 3, 0, "Psoas muscle abscess"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients born before the year 2095 were diagnosed for psoas muscle abscess?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"DOB_YEAR\" < \"2095\" AND DIAGNOSES.\"SHORT_TITLE\" = \"Psoas muscle abscess\"", "question_refine_tok": ["how", "many", "patients", "born", "before", "the", "year", "2095", "were", "diagnosed", "for", "psoas", "muscle", "abscess", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DOB_YEAR\"", "<", "\"2095\"", "AND", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"Psoas", "muscle", "abscess\""]}
{"key": "9aed504ab441968796072a87021380bd", "format": {"table": [0, 2], "cond": [[0, 18, 2, 2101], [2, 3, 0, "Oth uni salpingo-oophor"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients born before 2101 had other unilateral salpingo-oophorectomy?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"DOB_YEAR\" < \"2101\" AND PROCEDURES.\"SHORT_TITLE\" = \"Oth uni salpingo-oophor\"", "question_refine_tok": ["how", "many", "patients", "born", "before", "2101", "had", "other", "unilateral", "salpingo", "-", "oophorectomy", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DOB_YEAR\"", "<", "\"2101\"", "AND", "PROCEDURES.\"SHORT_TITLE\"", "=", "\"Oth", "uni", "salpingo-oophor\""]}
{"key": "4b0fdec025eab9185a47eabcc05bfc68", "format": {"table": [0, 2], "cond": [[0, 18, 2, 2152], [2, 3, 0, "Left heart cardiac cath"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "give the number of patients born before the year 2152 who had procedure titled left heart cardiac cath.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"DOB_YEAR\" < \"2152\" AND PROCEDURES.\"SHORT_TITLE\" = \"Left heart cardiac cath\"", "question_refine_tok": ["give", "the", "number", "of", "patients", "born", "before", "the", "year", "2152", "who", "had", "procedure", "titled", "left", "heart", "cardiac", "cath", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DOB_YEAR\"", "<", "\"2152\"", "AND", "PROCEDURES.\"SHORT_TITLE\"", "=", "\"Left", "heart", "cardiac", "cath\""]}
{"key": "166eaf5275c5a5f710cebd477dd1d5e0", "format": {"table": [0, 2], "cond": [[0, 18, 2, 2167], [2, 4, 0, "Incision of vessel, lower limb arteries"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "out of total number of patients who had incision of vessel, lower limb arteries, how many of them were born in the year less than 2167?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"DOB_YEAR\" < \"2167\" AND PROCEDURES.\"LONG_TITLE\" = \"Incision of vessel, lower limb arteries\"", "question_refine_tok": ["out", "of", "total", "number", "of", "patients", "who", "had", "incision", "of", "vessel", ",", "lower", "limb", "arteries", ",", "how", "many", "of", "them", "were", "born", "in", "the", "year", "less", "than", "2167", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DOB_YEAR\"", "<", "\"2167\"", "AND", "PROCEDURES.\"LONG_TITLE\"", "=", "\"Incision", "of", "vessel,", "lower", "limb", "arteries\""]}
{"key": "fef5bfc1845bf60b6c8f0ec883f83c79", "format": {"table": [0, 2], "cond": [[0, 18, 2, 2052], [2, 4, 0, "Combined right and left heart cardiac catheterization"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of patients born before 2052 who have combined right and left heart cardiac catheterization procedure.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"DOB_YEAR\" < \"2052\" AND PROCEDURES.\"LONG_TITLE\" = \"Combined right and left heart cardiac catheterization\"", "question_refine_tok": ["count", "the", "number", "of", "patients", "born", "before", "2052", "who", "have", "combined", "right", "and", "left", "heart", "cardiac", "catheterization", "procedure", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DOB_YEAR\"", "<", "\"2052\"", "AND", "PROCEDURES.\"LONG_TITLE\"", "=", "\"Combined", "right", "and", "left", "heart", "cardiac", "catheterization\""]}
{"key": "8d788b16e6971a9a34287098e2dae8d0", "format": {"table": [0, 3], "cond": [[0, 18, 2, 2056], [3, 3, 0, "ADDITIVE"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many of the patients on additive therapy were born in the year less than 2056?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"DOB_YEAR\" < \"2056\" AND PRESCRIPTIONS.\"DRUG_TYPE\" = \"ADDITIVE\"", "question_refine_tok": ["how", "many", "of", "the", "patients", "on", "additive", "therapy", "were", "born", "in", "the", "year", "less", "than", "2056", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DOB_YEAR\"", "<", "\"2056\"", "AND", "PRESCRIPTIONS.\"DRUG_TYPE\"", "=", "\"ADDITIVE\""]}
{"key": "dfe1f399cd6198c91d582898b32ac621", "format": {"table": [0, 3], "cond": [[0, 18, 2, 2056], [3, 3, 0, "BASE"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients born before 2056 have base type of drug prescription?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"DOB_YEAR\" < \"2056\" AND PRESCRIPTIONS.\"DRUG_TYPE\" = \"BASE\"", "question_refine_tok": ["how", "many", "patients", "born", "before", "2056", "have", "base", "type", "of", "drug", "prescription", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DOB_YEAR\"", "<", "\"2056\"", "AND", "PRESCRIPTIONS.\"DRUG_TYPE\"", "=", "\"BASE\""]}
{"key": "8b337a6fe394db23cf83bb795f3857e4", "format": {"table": [0, 3], "cond": [[0, 18, 2, 2058], [3, 3, 0, "BASE"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients born before 2058 have been prescribed base drug type?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"DOB_YEAR\" < \"2058\" AND PRESCRIPTIONS.\"DRUG_TYPE\" = \"BASE\"", "question_refine_tok": ["how", "many", "patients", "born", "before", "2058", "have", "been", "prescribed", "base", "drug", "type", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DOB_YEAR\"", "<", "\"2058\"", "AND", "PRESCRIPTIONS.\"DRUG_TYPE\"", "=", "\"BASE\""]}
{"key": "912cffbe3cf8d92fdd16bffe6c0b48ac", "format": {"table": [0, 3], "cond": [[0, 18, 2, 2043], [3, 4, 0, "Multivitamins"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients born before 2043 have been precribed multivitamins?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"DOB_YEAR\" < \"2043\" AND PRESCRIPTIONS.\"DRUG\" = \"Multivitamins\"", "question_refine_tok": ["how", "many", "patients", "born", "before", "2043", "have", "been", "precribed", "multivitamins", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DOB_YEAR\"", "<", "\"2043\"", "AND", "PRESCRIPTIONS.\"DRUG\"", "=", "\"Multivitamins\""]}
{"key": "13b4a89a04763233ceade13254e564cf", "format": {"table": [0, 3], "cond": [[0, 18, 2, 2089], [3, 4, 0, "MetFORMIN (Glucophage)"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients born before the year 2089 were given the drug metaformin (glucophage)?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"DOB_YEAR\" < \"2089\" AND PRESCRIPTIONS.\"DRUG\" = \"MetFORMIN (Glucophage)\"", "question_refine_tok": ["how", "many", "patients", "born", "before", "the", "year", "2089", "were", "given", "the", "drug", "metaformin", "(", "glucophage", ")", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DOB_YEAR\"", "<", "\"2089\"", "AND", "PRESCRIPTIONS.\"DRUG\"", "=", "\"MetFORMIN", "(Glucophage)\""]}
{"key": "04aaa830b65379f36ce981e5ed8eedc6", "format": {"table": [0, 3], "cond": [[0, 18, 2, 2098], [3, 5, 0, "CSA50I"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "among patients treated with csa50i, how many of them were born in the year less than 2098?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"DOB_YEAR\" < \"2098\" AND PRESCRIPTIONS.\"FORMULARY_DRUG_CD\" = \"CSA50I\"", "question_refine_tok": ["among", "patients", "treated", "with", "csa50i", ",", "how", "many", "of", "them", "were", "born", "in", "the", "year", "less", "than", "2098", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DOB_YEAR\"", "<", "\"2098\"", "AND", "PRESCRIPTIONS.\"FORMULARY_DRUG_CD\"", "=", "\"CSA50I\""]}
{"key": "feca6eb3c6997a6031da4b5e17510e65", "format": {"table": [0, 3], "cond": [[0, 18, 2, 1821], [3, 5, 0, "THIAM100I"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of patients with drug code thiam100i who were born before 1821.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"DOB_YEAR\" < \"1821\" AND PRESCRIPTIONS.\"FORMULARY_DRUG_CD\" = \"THIAM100I\"", "question_refine_tok": ["count", "the", "number", "of", "patients", "with", "drug", "code", "thiam100i", "who", "were", "born", "before", "1821", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DOB_YEAR\"", "<", "\"1821\"", "AND", "PRESCRIPTIONS.\"FORMULARY_DRUG_CD\"", "=", "\"THIAM100I\""]}
{"key": "f1398417a4f5f4700abc605d4f91232e", "format": {"table": [0, 3], "cond": [[0, 18, 2, 2056], [3, 6, 0, "SL"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients are born before 2056 and administered with si drug route?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"DOB_YEAR\" < \"2056\" AND PRESCRIPTIONS.\"ROUTE\" = \"SL\"", "question_refine_tok": ["how", "many", "patients", "are", "born", "before", "2056", "and", "administered", "with", "si", "drug", "route", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DOB_YEAR\"", "<", "\"2056\"", "AND", "PRESCRIPTIONS.\"ROUTE\"", "=", "\"SL\""]}
{"key": "9a94dd8ff3042346cf7d2ea10b9c5d65", "format": {"table": [0, 3], "cond": [[0, 18, 2, 2168], [3, 6, 0, "BUCCAL"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "provide the number of patients born before 2168 who take drug via buccal route.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"DOB_YEAR\" < \"2168\" AND PRESCRIPTIONS.\"ROUTE\" = \"BUCCAL\"", "question_refine_tok": ["provide", "the", "number", "of", "patients", "born", "before", "2168", "who", "take", "drug", "via", "buccal", "route", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DOB_YEAR\"", "<", "\"2168\"", "AND", "PRESCRIPTIONS.\"ROUTE\"", "=", "\"BUCCAL\""]}
{"key": "4a463baeee1e485d0010bfbba8b0e6ae", "format": {"table": [0, 3], "cond": [[0, 18, 2, 2104], [3, 6, 0, "TD"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients born before 2104 had drug route as td?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"DOB_YEAR\" < \"2104\" AND PRESCRIPTIONS.\"ROUTE\" = \"TD\"", "question_refine_tok": ["how", "many", "patients", "born", "before", "2104", "had", "drug", "route", "as", "td", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DOB_YEAR\"", "<", "\"2104\"", "AND", "PRESCRIPTIONS.\"ROUTE\"", "=", "\"TD\""]}
{"key": "e93ef1bbc8ef8257c8d65de5dad94d61", "format": {"table": [0, 4], "cond": [[0, 18, 2, 2146], [4, 2, 0, 51067]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients born before the year 2146 had lab test item id 51067?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"DOB_YEAR\" < \"2146\" AND LAB.\"ITEMID\" = \"51067\"", "question_refine_tok": ["how", "many", "patients", "born", "before", "the", "year", "2146", "had", "lab", "test", "item", "i", "d", "51067", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DOB_YEAR\"", "<", "\"2146\"", "AND", "LAB.\"ITEMID\"", "=", "\"51067\""]}
{"key": "eebe2ccdc6204d9b548bbbf057ed69a7", "format": {"table": [0, 4], "cond": [[0, 18, 2, 2097], [4, 4, 0, "abnormal"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of patients with abnormal lab tests born before the year 2097?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"DOB_YEAR\" < \"2097\" AND LAB.\"FLAG\" = \"abnormal\"", "question_refine_tok": ["what", "is", "the", "number", "of", "patients", "with", "abnormal", "lab", "tests", "born", "before", "the", "year", "2097", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DOB_YEAR\"", "<", "\"2097\"", "AND", "LAB.\"FLAG\"", "=", "\"abnormal\""]}
{"key": "43a7e0a235261a435001e2bf24d3bc49", "format": {"table": [0, 4], "cond": [[0, 18, 2, 2073], [4, 4, 0, "delta"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients born before 2073 have abnormal lab test status?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"DOB_YEAR\" < \"2073\" AND LAB.\"FLAG\" = \"delta\"", "question_refine_tok": ["how", "many", "patients", "born", "before", "2073", "have", "abnormal", "lab", "test", "status", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DOB_YEAR\"", "<", "\"2073\"", "AND", "LAB.\"FLAG\"", "=", "\"delta\""]}
{"key": "dc5daeecb42a6a0379e46b0f350ff8dc", "format": {"table": [0, 4], "cond": [[0, 18, 2, 1882], [4, 4, 0, "abnormal"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "give me the number of patients born before 1882 whose lab test result is abnormal.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"DOB_YEAR\" < \"1882\" AND LAB.\"FLAG\" = \"abnormal\"", "question_refine_tok": ["give", "me", "the", "number", "of", "patients", "born", "before", "1882", "whose", "lab", "test", "result", "is", "abnormal", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DOB_YEAR\"", "<", "\"1882\"", "AND", "LAB.\"FLAG\"", "=", "\"abnormal\""]}
{"key": "1e99f4b0c23ea07516b838f36e5a5537", "format": {"table": [0, 4], "cond": [[0, 18, 2, 2123], [4, 6, 0, "Immunoglobulin A"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients born before the year 2123 had lab test named immunoglobulin a?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"DOB_YEAR\" < \"2123\" AND LAB.\"LABEL\" = \"Immunoglobulin A\"", "question_refine_tok": ["how", "many", "patients", "born", "before", "the", "year", "2123", "had", "lab", "test", "named", "immunoglobulin", "a", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DOB_YEAR\"", "<", "\"2123\"", "AND", "LAB.\"LABEL\"", "=", "\"Immunoglobulin", "A\""]}
{"key": "b3de01b1a454516ab7099d613d81485a", "format": {"table": [0, 4], "cond": [[0, 18, 2, 2129], [4, 6, 0, "Albumin"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what number of patients born before the year 2129 had lab test for albumin?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"DOB_YEAR\" < \"2129\" AND LAB.\"LABEL\" = \"Albumin\"", "question_refine_tok": ["what", "number", "of", "patients", "born", "before", "the", "year", "2129", "had", "lab", "test", "for", "albumin", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DOB_YEAR\"", "<", "\"2129\"", "AND", "LAB.\"LABEL\"", "=", "\"Albumin\""]}
{"key": "36601300e3ae15c9c50278710a23aa38", "format": {"table": [0, 4], "cond": [[0, 18, 2, 2110], [4, 6, 0, "Asparate Aminotransferase (AST)"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients are born before 2110 and tested with aspartate aminotransferase (ast) in lab?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"DOB_YEAR\" < \"2110\" AND LAB.\"LABEL\" = \"Asparate Aminotransferase (AST)\"", "question_refine_tok": ["how", "many", "patients", "are", "born", "before", "2110", "and", "tested", "with", "aspartate", "aminotransferase", "(", "ast", ")", "in", "lab", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DOB_YEAR\"", "<", "\"2110\"", "AND", "LAB.\"LABEL\"", "=", "\"Asparate", "Aminotransferase", "(AST)\""]}
{"key": "25c9d8b4ecaf1ee16c48316cc63d910d", "format": {"table": [0, 4], "cond": [[0, 18, 2, 2058], [4, 6, 0, "Urea Nitrogen"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients born before the year 2058 had lab test for urea nitrogen?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"DOB_YEAR\" < \"2058\" AND LAB.\"LABEL\" = \"Urea Nitrogen\"", "question_refine_tok": ["how", "many", "patients", "born", "before", "the", "year", "2058", "had", "lab", "test", "for", "urea", "nitrogen", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DOB_YEAR\"", "<", "\"2058\"", "AND", "LAB.\"LABEL\"", "=", "\"Urea", "Nitrogen\""]}
{"key": "741f72c928a0d0a7a29bab48de56e559", "format": {"table": [0, 4], "cond": [[0, 18, 2, 2052], [4, 6, 0, "Alanine Aminotransferase (ALT)"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "provide the number of patients who were born before the year 2052 and underwent the lab test alanine aminotransferase (alt).", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"DOB_YEAR\" < \"2052\" AND LAB.\"LABEL\" = \"Alanine Aminotransferase (ALT)\"", "question_refine_tok": ["provide", "the", "number", "of", "patients", "who", "were", "born", "before", "the", "year", "2052", "and", "underwent", "the", "lab", "test", "alanine", "aminotransferase", "(", "alt", ")", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DOB_YEAR\"", "<", "\"2052\"", "AND", "LAB.\"LABEL\"", "=", "\"Alanine", "Aminotransferase", "(ALT)\""]}
{"key": "b84e0c4803d8fe40224ac8b46a8e155c", "format": {"table": [0, 4], "cond": [[0, 18, 2, 2089], [4, 7, 0, "Blood"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients who were born before the year 2089 have got a blood test done?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"DOB_YEAR\" < \"2089\" AND LAB.\"FLUID\" = \"Blood\"", "question_refine_tok": ["how", "many", "patients", "who", "were", "born", "before", "the", "year", "2089", "have", "got", "a", "blood", "test", "done", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DOB_YEAR\"", "<", "\"2089\"", "AND", "LAB.\"FLUID\"", "=", "\"Blood\""]}
{"key": "5056e4c6ec3434e614f30b7bb0ea9677", "format": {"table": [0, 4], "cond": [[0, 18, 2, 2121], [4, 7, 0, "Other Body Fluid"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients born before 2121 had other body fluid as the lab test fluid?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"DOB_YEAR\" < \"2121\" AND LAB.\"FLUID\" = \"Other Body Fluid\"", "question_refine_tok": ["how", "many", "patients", "born", "before", "2121", "had", "other", "body", "fluid", "as", "the", "lab", "test", "fluid", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DOB_YEAR\"", "<", "\"2121\"", "AND", "LAB.\"FLUID\"", "=", "\"Other", "Body", "Fluid\""]}
{"key": "1afa46be768678740333e3be46cfa110", "format": {"table": [0, 1], "cond": [[0, 19, 4, 2154.0], [1, 2, 0, "78830"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "provide the number of patients with diagnoses icd9 code 78830 who died on or before 2154.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"DOD_YEAR\" <= \"2154.0\" AND DIAGNOSES.\"ICD9_CODE\" = \"78830\"", "question_refine_tok": ["provide", "the", "number", "of", "patients", "with", "diagnoses", "icd9", "code", "78830", "who", "died", "on", "or", "before", "2154", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DOD_YEAR\"", "<=", "\"2154.0\"", "AND", "DIAGNOSES.\"ICD9_CODE\"", "=", "\"78830\""]}
{"key": "b2af01f906fc67da9194fb828cded436", "format": {"table": [0, 1], "cond": [[0, 19, 4, 2138.0], [1, 2, 0, "53190"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "give me the number of patients with diagnosis icd9 code 53190 who died in or before 2138.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"DOD_YEAR\" <= \"2138.0\" AND DIAGNOSES.\"ICD9_CODE\" = \"53190\"", "question_refine_tok": ["give", "me", "the", "number", "of", "patients", "with", "diagnosis", "icd9", "code", "53190", "who", "died", "in", "or", "before", "2138", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DOD_YEAR\"", "<=", "\"2138.0\"", "AND", "DIAGNOSES.\"ICD9_CODE\"", "=", "\"53190\""]}
{"key": "7665a920d3d095a6ea138665bc64eafa", "format": {"table": [0, 1], "cond": [[0, 19, 4, 2186.0], [1, 2, 0, "7778"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients who died before or in the year 2186 had diagnosis icd9 code 7778?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"DOD_YEAR\" <= \"2186.0\" AND DIAGNOSES.\"ICD9_CODE\" = \"7778\"", "question_refine_tok": ["how", "many", "patients", "who", "died", "before", "or", "in", "the", "year", "2186", "had", "diagnosis", "icd9", "code", "7778", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DOD_YEAR\"", "<=", "\"2186.0\"", "AND", "DIAGNOSES.\"ICD9_CODE\"", "=", "\"7778\""]}
{"key": "324d0aab32f8b49482e168eea3ab1d42", "format": {"table": [0, 1], "cond": [[0, 19, 4, 2138.0], [1, 4, 0, "Acute on chronic systolic heart failure"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what number of patients who died in or before the year 2138 were diagnosed with acute on chronic systolic heart failure?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"DOD_YEAR\" <= \"2138.0\" AND DIAGNOSES.\"LONG_TITLE\" = \"Acute on chronic systolic heart failure\"", "question_refine_tok": ["what", "number", "of", "patients", "who", "died", "in", "or", "before", "the", "year", "2138", "were", "diagnosed", "with", "acute", "on", "chronic", "systolic", "heart", "failure", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DOD_YEAR\"", "<=", "\"2138.0\"", "AND", "DIAGNOSES.\"LONG_TITLE\"", "=", "\"Acute", "on", "chronic", "systolic", "heart", "failure\""]}
{"key": "d87537d0895d38e51ed199569b6b1b69", "format": {"table": [0, 1], "cond": [[0, 19, 4, 2186.0], [1, 4, 0, "Hyperacusis"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients with hyperacusis died in the year less than or equal to 2186?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"DOD_YEAR\" <= \"2186.0\" AND DIAGNOSES.\"LONG_TITLE\" = \"Hyperacusis\"", "question_refine_tok": ["how", "many", "patients", "with", "hyperacusis", "died", "in", "the", "year", "less", "than", "or", "equal", "to", "2186", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DOD_YEAR\"", "<=", "\"2186.0\"", "AND", "DIAGNOSES.\"LONG_TITLE\"", "=", "\"Hyperacusis\""]}
{"key": "93d86e3665bfdc28bf4f53f614f822e4", "format": {"table": [0, 2], "cond": [[0, 19, 4, 2158.0], [2, 2, 0, 3607]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "provide the number of patients with procedure icd9 code 3607 who died on or before 2158.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"DOD_YEAR\" <= \"2158.0\" AND PROCEDURES.\"ICD9_CODE\" = \"3607\"", "question_refine_tok": ["provide", "the", "number", "of", "patients", "with", "procedure", "icd9", "code", "3607", "who", "died", "on", "or", "before", "2158", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DOD_YEAR\"", "<=", "\"2158.0\"", "AND", "PROCEDURES.\"ICD9_CODE\"", "=", "\"3607\""]}
{"key": "a0b072515d219e08b773a299e146e61e", "format": {"table": [0, 2], "cond": [[0, 19, 4, 2174.0], [2, 2, 0, 3532]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many of the patients with icd9 code 3532 died in the year less than 2174?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"DOD_YEAR\" <= \"2174.0\" AND PROCEDURES.\"ICD9_CODE\" = \"3532\"", "question_refine_tok": ["how", "many", "of", "the", "patients", "with", "icd9", "code", "3532", "died", "in", "the", "year", "less", "than", "2174", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DOD_YEAR\"", "<=", "\"2174.0\"", "AND", "PROCEDURES.\"ICD9_CODE\"", "=", "\"3532\""]}
{"key": "5994caba02909de60529e44302f6b2e8", "format": {"table": [0, 2], "cond": [[0, 19, 4, 2155.0], [2, 2, 0, 598]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many of the patients with icd9 code 598 died in the year less than or equal to 2115?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"DOD_YEAR\" <= \"2155.0\" AND PROCEDURES.\"ICD9_CODE\" = \"598\"", "question_refine_tok": ["how", "many", "of", "the", "patients", "with", "icd9", "code", "598", "died", "in", "the", "year", "less", "than", "or", "equal", "to", "2115", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DOD_YEAR\"", "<=", "\"2155.0\"", "AND", "PROCEDURES.\"ICD9_CODE\"", "=", "\"598\""]}
{"key": "d3dd1e6f43d1a3ca1a500dbfc48b1d39", "format": {"table": [0, 2], "cond": [[0, 19, 4, 2138.0], [2, 3, 0, "Aortocor bypas-1 cor art"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of patients who underwent (aorto)coronary bypass of one coronary artery and died on or before 2138?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"DOD_YEAR\" <= \"2138.0\" AND PROCEDURES.\"SHORT_TITLE\" = \"Aortocor bypas-1 cor art\"", "question_refine_tok": ["what", "is", "the", "number", "of", "patients", "who", "underwent", "(", "aorto)coronary", "bypass", "of", "one", "coronary", "artery", "and", "died", "on", "or", "before", "2138", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DOD_YEAR\"", "<=", "\"2138.0\"", "AND", "PROCEDURES.\"SHORT_TITLE\"", "=", "\"Aortocor", "bypas-1", "cor", "art\""]}
{"key": "64d63f275d27d8d5f577ec8e9b46ce23", "format": {"table": [0, 2], "cond": [[0, 19, 4, 2112.0], [2, 3, 0, "Coronar arteriogr-2 cath"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients died in or before 2112 and procedured with coronar arteriorgr-2 cath?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"DOD_YEAR\" <= \"2112.0\" AND PROCEDURES.\"SHORT_TITLE\" = \"Coronar arteriogr-2 cath\"", "question_refine_tok": ["how", "many", "patients", "died", "in", "or", "before", "2112", "and", "procedured", "with", "coronar", "arteriorgr-2", "cath", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DOD_YEAR\"", "<=", "\"2112.0\"", "AND", "PROCEDURES.\"SHORT_TITLE\"", "=", "\"Coronar", "arteriogr-2", "cath\""]}
{"key": "beb830d1eac3b8917dd1e48ea7c63a5f", "format": {"table": [0, 2], "cond": [[0, 19, 4, 2186.0], [2, 3, 0, "Chordae tendineae ops"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of patients who died on or before 2186 and had chordae tendineae operation.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"DOD_YEAR\" <= \"2186.0\" AND PROCEDURES.\"SHORT_TITLE\" = \"Chordae tendineae ops\"", "question_refine_tok": ["count", "the", "number", "of", "patients", "who", "died", "on", "or", "before", "2186", "and", "had", "chordae", "tendineae", "operation", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DOD_YEAR\"", "<=", "\"2186.0\"", "AND", "PROCEDURES.\"SHORT_TITLE\"", "=", "\"Chordae", "tendineae", "ops\""]}
{"key": "d42d307c4656f617c130ade46f6e4659", "format": {"table": [0, 2], "cond": [[0, 19, 4, 2126.0], [2, 3, 0, "Umbilical vein cath"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "find the number of patients who had umbilical vein catheterization and died on or before 2126.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"DOD_YEAR\" <= \"2126.0\" AND PROCEDURES.\"SHORT_TITLE\" = \"Umbilical vein cath\"", "question_refine_tok": ["find", "the", "number", "of", "patients", "who", "had", "umbilical", "vein", "catheterization", "and", "died", "on", "or", "before", "2126", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DOD_YEAR\"", "<=", "\"2126.0\"", "AND", "PROCEDURES.\"SHORT_TITLE\"", "=", "\"Umbilical", "vein", "cath\""]}
{"key": "4883f4ed234f53bc5f65eaceb405fc4b", "format": {"table": [0, 2], "cond": [[0, 19, 4, 2183.0], [2, 4, 0, "Annuloplasty"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients underwent annuloplasty procedure and died on or before 2183?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"DOD_YEAR\" <= \"2183.0\" AND PROCEDURES.\"LONG_TITLE\" = \"Annuloplasty\"", "question_refine_tok": ["how", "many", "patients", "underwent", "annuloplasty", "procedure", "and", "died", "on", "or", "before", "2183", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DOD_YEAR\"", "<=", "\"2183.0\"", "AND", "PROCEDURES.\"LONG_TITLE\"", "=", "\"Annuloplasty\""]}
{"key": "76836c47df5e75bc45ac3ac65c1fdd55", "format": {"table": [0, 3], "cond": [[0, 19, 4, 2164.0], [3, 4, 0, "Multivitamins"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of patients on multivitamins prescription who died on or before the year 2164?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"DOD_YEAR\" <= \"2164.0\" AND PRESCRIPTIONS.\"DRUG\" = \"Multivitamins\"", "question_refine_tok": ["what", "is", "the", "number", "of", "patients", "on", "multivitamins", "prescription", "who", "died", "on", "or", "before", "the", "year", "2164", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DOD_YEAR\"", "<=", "\"2164.0\"", "AND", "PRESCRIPTIONS.\"DRUG\"", "=", "\"Multivitamins\""]}
{"key": "c3621207bc2277eb597aa153cf5b2935", "format": {"table": [0, 3], "cond": [[0, 19, 4, 2115.0], [3, 4, 0, "Docusate Sodium (Liquid)"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "give the number of patients who died in or before year 2115 with a drug name docusate sodium (liquid).", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"DOD_YEAR\" <= \"2115.0\" AND PRESCRIPTIONS.\"DRUG\" = \"Docusate Sodium (Liquid)\"", "question_refine_tok": ["give", "the", "number", "of", "patients", "who", "died", "in", "or", "before", "year", "2115", "with", "a", "drug", "name", "docusate", "sodium", "(", "liquid", ")", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DOD_YEAR\"", "<=", "\"2115.0\"", "AND", "PRESCRIPTIONS.\"DRUG\"", "=", "\"Docusate", "Sodium", "(Liquid)\""]}
{"key": "ebf9189abbaade8c74ccccb10a3d577b", "format": {"table": [0, 3], "cond": [[0, 19, 4, 2158.0], [3, 4, 0, "Hydralazine HCl"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients died in or before the year 2158 and used the drug hydralazine hcl?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"DOD_YEAR\" <= \"2158.0\" AND PRESCRIPTIONS.\"DRUG\" = \"Hydralazine HCl\"", "question_refine_tok": ["how", "many", "patients", "died", "in", "or", "before", "the", "year", "2158", "and", "used", "the", "drug", "hydralazine", "hcl", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DOD_YEAR\"", "<=", "\"2158.0\"", "AND", "PRESCRIPTIONS.\"DRUG\"", "=", "\"Hydralazine", "HCl\""]}
{"key": "a87c0978ba87e83f55173bebe12f1ca5", "format": {"table": [0, 3], "cond": [[0, 19, 4, 2179.0], [3, 5, 0, "METH10SY"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "tell me the number of patients with drug code meth10sy who died on 2179 or before that.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"DOD_YEAR\" <= \"2179.0\" AND PRESCRIPTIONS.\"FORMULARY_DRUG_CD\" = \"METH10SY\"", "question_refine_tok": ["tell", "me", "the", "number", "of", "patients", "with", "drug", "code", "meth10sy", "who", "died", "on", "2179", "or", "before", "that", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DOD_YEAR\"", "<=", "\"2179.0\"", "AND", "PRESCRIPTIONS.\"FORMULARY_DRUG_CD\"", "=", "\"METH10SY\""]}
{"key": "1c668ee8fcd3e37920d04e2dfd819b41", "format": {"table": [0, 3], "cond": [[0, 19, 4, 2155.0], [3, 5, 0, "OSEL75"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients treated with osel75 died in the year less than or equal to 2155?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"DOD_YEAR\" <= \"2155.0\" AND PRESCRIPTIONS.\"FORMULARY_DRUG_CD\" = \"OSEL75\"", "question_refine_tok": ["how", "many", "patients", "treated", "with", "osel75", "died", "in", "the", "year", "less", "than", "or", "equal", "to", "2155", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DOD_YEAR\"", "<=", "\"2155.0\"", "AND", "PRESCRIPTIONS.\"FORMULARY_DRUG_CD\"", "=", "\"OSEL75\""]}
{"key": "774602436653179ac5977522d8579f44", "format": {"table": [0, 3], "cond": [[0, 19, 4, 2186.0], [3, 5, 0, "HYDX25"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "calculate the number of patients treated with drug hydx25, who died in the year les than or equal to 2186.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"DOD_YEAR\" <= \"2186.0\" AND PRESCRIPTIONS.\"FORMULARY_DRUG_CD\" = \"HYDX25\"", "question_refine_tok": ["calculate", "the", "number", "of", "patients", "treated", "with", "drug", "hydx25", ",", "who", "died", "in", "the", "year", "les", "than", "or", "equal", "to", "2186", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DOD_YEAR\"", "<=", "\"2186.0\"", "AND", "PRESCRIPTIONS.\"FORMULARY_DRUG_CD\"", "=", "\"HYDX25\""]}
{"key": "2b5c1775820538d4ded33a563e27c2c9", "format": {"table": [0, 3], "cond": [[0, 19, 4, 2115.0], [3, 5, 0, "GLYB5"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients with drug code glyb5 died in or before 2115?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"DOD_YEAR\" <= \"2115.0\" AND PRESCRIPTIONS.\"FORMULARY_DRUG_CD\" = \"GLYB5\"", "question_refine_tok": ["how", "many", "patients", "with", "drug", "code", "glyb5", "died", "in", "or", "before", "2115", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DOD_YEAR\"", "<=", "\"2115.0\"", "AND", "PRESCRIPTIONS.\"FORMULARY_DRUG_CD\"", "=", "\"GLYB5\""]}
{"key": "732523f3076f1f35216ce2287b609655", "format": {"table": [0, 4], "cond": [[0, 19, 4, 2165.0], [4, 2, 0, 50967]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of patients with lab test item id 50967 who died on or before the year 2165?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"DOD_YEAR\" <= \"2165.0\" AND LAB.\"ITEMID\" = \"50967\"", "question_refine_tok": ["what", "is", "the", "number", "of", "patients", "with", "lab", "test", "item", "i", "d", "50967", "who", "died", "on", "or", "before", "the", "year", "2165", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DOD_YEAR\"", "<=", "\"2165.0\"", "AND", "LAB.\"ITEMID\"", "=", "\"50967\""]}
{"key": "7985612f8518f8cea053272dc963ff7f", "format": {"table": [0, 4], "cond": [[0, 19, 4, 2138.0], [4, 2, 0, 51355]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients died in or before 2138 with lab test item id 51355?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"DOD_YEAR\" <= \"2138.0\" AND LAB.\"ITEMID\" = \"51355\"", "question_refine_tok": ["how", "many", "patients", "died", "in", "or", "before", "2138", "with", "lab", "test", "item", "i", "d", "51355", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DOD_YEAR\"", "<=", "\"2138.0\"", "AND", "LAB.\"ITEMID\"", "=", "\"51355\""]}
{"key": "75db1115cb726399a55ed335bc7d5dce", "format": {"table": [0, 4], "cond": [[0, 19, 4, 2158.0], [4, 2, 0, 51078]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients died in or before the year 2158 and tested with lab item id 51078?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"DOD_YEAR\" <= \"2158.0\" AND LAB.\"ITEMID\" = \"51078\"", "question_refine_tok": ["how", "many", "patients", "died", "in", "or", "before", "the", "year", "2158", "and", "tested", "with", "lab", "item", "i", "d", "51078", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DOD_YEAR\"", "<=", "\"2158.0\"", "AND", "LAB.\"ITEMID\"", "=", "\"51078\""]}
{"key": "32c111942d460261e4c7b721b5db4963", "format": {"table": [0, 4], "cond": [[0, 19, 4, 2115.0], [4, 6, 0, "Hyaline Casts"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients died in or before 2115 and lab test name hyaline casts?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"DOD_YEAR\" <= \"2115.0\" AND LAB.\"LABEL\" = \"Hyaline Casts\"", "question_refine_tok": ["how", "many", "patients", "died", "in", "or", "before", "2115", "and", "lab", "test", "name", "hyaline", "casts", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DOD_YEAR\"", "<=", "\"2115.0\"", "AND", "LAB.\"LABEL\"", "=", "\"Hyaline", "Casts\""]}
{"key": "852c38805b02fde471c1b7ef1a27d8a7", "format": {"table": [0, 4], "cond": [[0, 19, 4, 2174.0], [4, 7, 0, "Cerebrospinal Fluid (CSF)"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients who had csf lab test died on or before 2174?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"DOD_YEAR\" <= \"2174.0\" AND LAB.\"FLUID\" = \"Cerebrospinal Fluid (CSF)\"", "question_refine_tok": ["how", "many", "patients", "who", "had", "csf", "lab", "test", "died", "on", "or", "before", "2174", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DOD_YEAR\"", "<=", "\"2174.0\"", "AND", "LAB.\"FLUID\"", "=", "\"Cerebrospinal", "Fluid", "(CSF)\""]}
{"key": "7087b1072ba4b56d7a3da131e184b410", "format": {"table": [0, 1], "cond": [[0, 22, 2, 2154], [1, 2, 0, "2449"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many of the patients admitted in the year less than 2154 were diagnosed with icd9 code 2449?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"ADMITYEAR\" < \"2154\" AND DIAGNOSES.\"ICD9_CODE\" = \"2449\"", "question_refine_tok": ["how", "many", "of", "the", "patients", "admitted", "in", "the", "year", "less", "than", "2154", "were", "diagnosed", "with", "icd9", "code", "2449", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2154\"", "AND", "DIAGNOSES.\"ICD9_CODE\"", "=", "\"2449\""]}
{"key": "f52ffc5e9bd6419b782aedb8a57fbe56", "format": {"table": [0, 1], "cond": [[0, 22, 2, 2110], [1, 2, 0, "7885"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of patients with diagnoses icd9 code 7885 who were admitted before the year 2110.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"ADMITYEAR\" < \"2110\" AND DIAGNOSES.\"ICD9_CODE\" = \"7885\"", "question_refine_tok": ["count", "the", "number", "of", "patients", "with", "diagnoses", "icd9", "code", "7885", "who", "were", "admitted", "before", "the", "year", "2110", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2110\"", "AND", "DIAGNOSES.\"ICD9_CODE\"", "=", "\"7885\""]}
{"key": "223eefbf9f9c20077e8424988afa3ac5", "format": {"table": [0, 1], "cond": [[0, 22, 2, 2156], [1, 2, 0, "70721"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients with diagnosis icd9 code as 70721 were admtted before the year 2156?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"ADMITYEAR\" < \"2156\" AND DIAGNOSES.\"ICD9_CODE\" = \"70721\"", "question_refine_tok": ["how", "many", "patients", "with", "diagnosis", "icd9", "code", "as", "70721", "were", "admtted", "before", "the", "year", "2156", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2156\"", "AND", "DIAGNOSES.\"ICD9_CODE\"", "=", "\"70721\""]}
{"key": "1cab69a98f8a66110d63a75ffda12005", "format": {"table": [0, 1], "cond": [[0, 22, 2, 2151], [1, 2, 0, "V3001"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients admitted in the year less than 2151 were diagnosed with icd9 code v3001?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"ADMITYEAR\" < \"2151\" AND DIAGNOSES.\"ICD9_CODE\" = \"V3001\"", "question_refine_tok": ["how", "many", "patients", "admitted", "in", "the", "year", "less", "than", "2151", "were", "diagnosed", "with", "icd9", "code", "v3001", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2151\"", "AND", "DIAGNOSES.\"ICD9_CODE\"", "=", "\"V3001\""]}
{"key": "90a24153dace1eca212a0d305d842da2", "format": {"table": [0, 1], "cond": [[0, 22, 2, 2127], [1, 3, 0, "Ath ext ntv at w claudct"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients admitted before 2127 have been diagnosed with atherosclerosis of native arteries of the extremities with intermitted claudication?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"ADMITYEAR\" < \"2127\" AND DIAGNOSES.\"SHORT_TITLE\" = \"Ath ext ntv at w claudct\"", "question_refine_tok": ["how", "many", "patients", "admitted", "before", "2127", "have", "been", "diagnosed", "with", "atherosclerosis", "of", "native", "arteries", "of", "the", "extremities", "with", "intermitted", "claudication", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2127\"", "AND", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"Ath", "ext", "ntv", "at", "w", "claudct\""]}
{"key": "93f89fc335db93034b7522fab5f8f08a", "format": {"table": [0, 1], "cond": [[0, 22, 2, 2138], [1, 4, 0, "Adrenal cortical steroids causing adverse effects in therapeutic use"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patienst are admitted before the year 2138 and diagnosed with adrenal cortical steroids causing adverse effects in therapeutic use?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"ADMITYEAR\" < \"2138\" AND DIAGNOSES.\"LONG_TITLE\" = \"Adrenal cortical steroids causing adverse effects in therapeutic use\"", "question_refine_tok": ["how", "many", "patienst", "are", "admitted", "before", "the", "year", "2138", "and", "diagnosed", "with", "adrenal", "cortical", "steroids", "causing", "adverse", "effects", "in", "therapeutic", "use", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2138\"", "AND", "DIAGNOSES.\"LONG_TITLE\"", "=", "\"Adrenal", "cortical", "steroids", "causing", "adverse", "effects", "in", "therapeutic", "use\""]}
{"key": "4e1de20e718d475140bfb90cc2319e4a", "format": {"table": [0, 1], "cond": [[0, 22, 2, 2129], [1, 4, 0, "Other dependence on machines, supplemental oxygen"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients admitted before 2129 were diagnosed with other dependence on machines, supplemental oxygen?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"ADMITYEAR\" < \"2129\" AND DIAGNOSES.\"LONG_TITLE\" = \"Other dependence on machines, supplemental oxygen\"", "question_refine_tok": ["how", "many", "patients", "admitted", "before", "2129", "were", "diagnosed", "with", "other", "dependence", "on", "machines", ",", "supplemental", "oxygen", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2129\"", "AND", "DIAGNOSES.\"LONG_TITLE\"", "=", "\"Other", "dependence", "on", "machines,", "supplemental", "oxygen\""]}
{"key": "891b0bdb0e64dd2023700412b0aea84c", "format": {"table": [0, 1], "cond": [[0, 22, 2, 2174], [1, 4, 0, "Ventricular septal defect"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "show me the number of patients admitted before 2174 who have been diagnosed with ventricular septal defect.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"ADMITYEAR\" < \"2174\" AND DIAGNOSES.\"LONG_TITLE\" = \"Ventricular septal defect\"", "question_refine_tok": ["show", "me", "the", "number", "of", "patients", "admitted", "before", "2174", "who", "have", "been", "diagnosed", "with", "ventricular", "septal", "defect", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2174\"", "AND", "DIAGNOSES.\"LONG_TITLE\"", "=", "\"Ventricular", "septal", "defect\""]}
{"key": "1e7dee5879bc0365443475bcf7ddc24a", "format": {"table": [0, 2], "cond": [[0, 22, 2, 2137], [2, 2, 0, 3322]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients who were admitted before the year 2137 have procedure icd9 code 3322?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"ADMITYEAR\" < \"2137\" AND PROCEDURES.\"ICD9_CODE\" = \"3322\"", "question_refine_tok": ["how", "many", "patients", "who", "were", "admitted", "before", "the", "year", "2137", "have", "procedure", "icd9", "code", "3322", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2137\"", "AND", "PROCEDURES.\"ICD9_CODE\"", "=", "\"3322\""]}
{"key": "fb11df5e2c7caab8df0bd9532d929d42", "format": {"table": [0, 2], "cond": [[0, 22, 2, 2151], [2, 2, 0, 8841]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what number of patients admitted before the year 2151 had the procedure icd9 code 8841?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"ADMITYEAR\" < \"2151\" AND PROCEDURES.\"ICD9_CODE\" = \"8841\"", "question_refine_tok": ["what", "number", "of", "patients", "admitted", "before", "the", "year", "2151", "had", "the", "procedure", "icd9", "code", "8841", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2151\"", "AND", "PROCEDURES.\"ICD9_CODE\"", "=", "\"8841\""]}
{"key": "35747a945c511646382b6b23a6a4cf70", "format": {"table": [0, 2], "cond": [[0, 22, 2, 2115], [2, 4, 0, "Insertion of non-drug-eluting coronary artery stent(s)"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of patients who were admitted before the year 2115 for insertion of non-drug-eluting coronary artery stent(s)?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"ADMITYEAR\" < \"2115\" AND PROCEDURES.\"LONG_TITLE\" = \"Insertion of non-drug-eluting coronary artery stent(s)\"", "question_refine_tok": ["what", "is", "the", "number", "of", "patients", "who", "were", "admitted", "before", "the", "year", "2115", "for", "insertion", "of", "non", "-", "drug", "-", "eluting", "coronary", "artery", "stent(s", ")", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2115\"", "AND", "PROCEDURES.\"LONG_TITLE\"", "=", "\"Insertion", "of", "non-drug-eluting", "coronary", "artery", "stent(s)\""]}
{"key": "b72f367fbc5290c1b2581b39b2ca36d1", "format": {"table": [0, 2], "cond": [[0, 22, 2, 2184], [2, 4, 0, "Other transplant of liver"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of patients admitted before 2184 who had other transplant of liver.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"ADMITYEAR\" < \"2184\" AND PROCEDURES.\"LONG_TITLE\" = \"Other transplant of liver\"", "question_refine_tok": ["count", "the", "number", "of", "patients", "admitted", "before", "2184", "who", "had", "other", "transplant", "of", "liver", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2184\"", "AND", "PROCEDURES.\"LONG_TITLE\"", "=", "\"Other", "transplant", "of", "liver\""]}
{"key": "7b9305922778542953dff6ee9a03cde4", "format": {"table": [0, 3], "cond": [[0, 22, 2, 2170], [3, 6, 0, "IV BOLUS"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients with iv bolus route of drug administration were admitted before 2170?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"ADMITYEAR\" < \"2170\" AND PRESCRIPTIONS.\"ROUTE\" = \"IV BOLUS\"", "question_refine_tok": ["how", "many", "patients", "with", "iv", "bolus", "route", "of", "drug", "administration", "were", "admitted", "before", "2170", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2170\"", "AND", "PRESCRIPTIONS.\"ROUTE\"", "=", "\"IV", "BOLUS\""]}
{"key": "46957458df45cc9fe61f46144e6f75a9", "format": {"table": [0, 3], "cond": [[0, 22, 2, 2124], [3, 6, 0, "IV BOLUS"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of patients on iv bolus route of drug administration who were admitted in hospital before 2124.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"ADMITYEAR\" < \"2124\" AND PRESCRIPTIONS.\"ROUTE\" = \"IV BOLUS\"", "question_refine_tok": ["count", "the", "number", "of", "patients", "on", "iv", "bolus", "route", "of", "drug", "administration", "who", "were", "admitted", "in", "hospital", "before", "2124", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2124\"", "AND", "PRESCRIPTIONS.\"ROUTE\"", "=", "\"IV", "BOLUS\""]}
{"key": "46ef6f05747036e178f2db011ae4a6a0", "format": {"table": [0, 3], "cond": [[0, 22, 2, 2173], [3, 6, 0, "BUCCAL"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of patients on buccal route of drug administration who were admitted before the year 2173.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"ADMITYEAR\" < \"2173\" AND PRESCRIPTIONS.\"ROUTE\" = \"BUCCAL\"", "question_refine_tok": ["count", "the", "number", "of", "patients", "on", "buccal", "route", "of", "drug", "administration", "who", "were", "admitted", "before", "the", "year", "2173", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2173\"", "AND", "PRESCRIPTIONS.\"ROUTE\"", "=", "\"BUCCAL\""]}
{"key": "a8a3e69b2bccb49ee4213577e46208d4", "format": {"table": [0, 4], "cond": [[0, 22, 2, 2125], [4, 2, 0, 50970]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients admitted before the year 2125 have lab test item id number 50970?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"ADMITYEAR\" < \"2125\" AND LAB.\"ITEMID\" = \"50970\"", "question_refine_tok": ["how", "many", "patients", "admitted", "before", "the", "year", "2125", "have", "lab", "test", "item", "i", "d", "number", "50970", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2125\"", "AND", "LAB.\"ITEMID\"", "=", "\"50970\""]}
{"key": "d8c8f2d50d2da7bbfa176aea047e235b", "format": {"table": [0, 4], "cond": [[0, 22, 2, 2165], [4, 2, 0, 50990]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients were admitted to the hospital before the year 2165 with an item id 50990?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"ADMITYEAR\" < \"2165\" AND LAB.\"ITEMID\" = \"50990\"", "question_refine_tok": ["how", "many", "patients", "were", "admitted", "to", "the", "hospital", "before", "the", "year", "2165", "with", "an", "item", "i", "d", "50990", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2165\"", "AND", "LAB.\"ITEMID\"", "=", "\"50990\""]}
{"key": "1d928ab8e19ae7166f23c9286cd54e91", "format": {"table": [0, 4], "cond": [[0, 22, 2, 2180], [4, 2, 0, 50927]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "provide the number of patients whose lab test item id is 50927 and year of admission is before 2180.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"ADMITYEAR\" < \"2180\" AND LAB.\"ITEMID\" = \"50927\"", "question_refine_tok": ["provide", "the", "number", "of", "patients", "whose", "lab", "test", "item", "i", "d", "is", "50927", "and", "year", "of", "admission", "is", "before", "2180", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2180\"", "AND", "LAB.\"ITEMID\"", "=", "\"50927\""]}
{"key": "147cc490a50cb56f2745baf4efcabb6a", "format": {"table": [0, 4], "cond": [[0, 22, 2, 2138], [4, 2, 0, 50817]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "out of total number of patients admitted in the year less than 2138, how many of them had item id 50817?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"ADMITYEAR\" < \"2138\" AND LAB.\"ITEMID\" = \"50817\"", "question_refine_tok": ["out", "of", "total", "number", "of", "patients", "admitted", "in", "the", "year", "less", "than", "2138", ",", "how", "many", "of", "them", "had", "item", "i", "d", "50817", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2138\"", "AND", "LAB.\"ITEMID\"", "=", "\"50817\""]}
{"key": "97541fb2b4a6ee460241623f042e78ea", "format": {"table": [0, 4], "cond": [[0, 22, 2, 2178], [4, 4, 0, "abnormal"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients with admission year before 2178 have abnormal lab test results?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"ADMITYEAR\" < \"2178\" AND LAB.\"FLAG\" = \"abnormal\"", "question_refine_tok": ["how", "many", "patients", "with", "admission", "year", "before", "2178", "have", "abnormal", "lab", "test", "results", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2178\"", "AND", "LAB.\"FLAG\"", "=", "\"abnormal\""]}
{"key": "822d525ceffa4dfa10268ef303e3c328", "format": {"table": [0, 4], "cond": [[0, 22, 2, 2146], [4, 6, 0, "Immunoglobulin A"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients have admitted to the hospital before the year 2146 with a lab test immunoglobulin a?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"ADMITYEAR\" < \"2146\" AND LAB.\"LABEL\" = \"Immunoglobulin A\"", "question_refine_tok": ["how", "many", "patients", "have", "admitted", "to", "the", "hospital", "before", "the", "year", "2146", "with", "a", "lab", "test", "immunoglobulin", "a", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2146\"", "AND", "LAB.\"LABEL\"", "=", "\"Immunoglobulin", "A\""]}
{"key": "93a3cbf76971e7fa1195994449f2388d", "format": {"table": [0, 4], "cond": [[0, 22, 2, 2184], [4, 7, 0, "Joint Fluid"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "give me the number of patients admitted before 2184 who had joint fluid lab test.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"ADMITYEAR\" < \"2184\" AND LAB.\"FLUID\" = \"Joint Fluid\"", "question_refine_tok": ["give", "me", "the", "number", "of", "patients", "admitted", "before", "2184", "who", "had", "joint", "fluid", "lab", "test", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2184\"", "AND", "LAB.\"FLUID\"", "=", "\"Joint", "Fluid\""]}
{"key": "e023e89d81b49cd3689fb110a90ed538", "format": {"table": [0, 4], "cond": [[0, 22, 2, 2110], [4, 7, 0, "Joint Fluid"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "tell me the number of patients admitted before the year 2110 who had joint fluid lab test.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"ADMITYEAR\" < \"2110\" AND LAB.\"FLUID\" = \"Joint Fluid\"", "question_refine_tok": ["tell", "me", "the", "number", "of", "patients", "admitted", "before", "the", "year", "2110", "who", "had", "joint", "fluid", "lab", "test", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2110\"", "AND", "LAB.\"FLUID\"", "=", "\"Joint", "Fluid\""]}
{"key": "c8862894e4023ffed105a24b14ab13d5", "format": {"table": [0, 4], "cond": [[0, 22, 2, 2111], [4, 7, 0, "Ascites"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients admitted before 2111 were ordered to get ascitic fluid lab test?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"ADMITYEAR\" < \"2111\" AND LAB.\"FLUID\" = \"Ascites\"", "question_refine_tok": ["how", "many", "patients", "admitted", "before", "2111", "were", "ordered", "to", "get", "ascitic", "fluid", "lab", "test", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2111\"", "AND", "LAB.\"FLUID\"", "=", "\"Ascites\""]}
{"key": "06a0fa04c35db6ad945323f3d3364a2d", "format": {"table": [0, 4], "cond": [[0, 22, 2, 2151], [4, 7, 0, "Urine"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "show the number of patients admitted before the year 2151 and their lab test fluid is urine.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"ADMITYEAR\" < \"2151\" AND LAB.\"FLUID\" = \"Urine\"", "question_refine_tok": ["show", "the", "number", "of", "patients", "admitted", "before", "the", "year", "2151", "and", "their", "lab", "test", "fluid", "is", "urine", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2151\"", "AND", "LAB.\"FLUID\"", "=", "\"Urine\""]}
{"key": "b4ed8bc1c21e1a16c0c48ccb7bb553e8", "format": {"table": [0, 4], "cond": [[0, 22, 2, 2151], [4, 8, 0, "Chemistry"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients admitted in the year less than 2151 had clinical chemistry tests by lab?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"ADMITYEAR\" < \"2151\" AND LAB.\"CATEGORY\" = \"Chemistry\"", "question_refine_tok": ["how", "many", "patients", "admitted", "in", "the", "year", "less", "than", "2151", "had", "clinical", "chemistry", "tests", "by", "lab", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2151\"", "AND", "LAB.\"CATEGORY\"", "=", "\"Chemistry\""]}
{"key": "c250b32e178cadec365e2bd8c13ae7bc", "format": {"table": [0, 1, 3], "cond": [[1, 2, 0, "V4962"], [3, 3, 0, "MAIN"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "give me the number of patients on main type of drug prescription who have diagnoses icd9 code v4962.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DIAGNOSES.\"ICD9_CODE\" = \"V4962\" AND PRESCRIPTIONS.\"DRUG_TYPE\" = \"MAIN\"", "question_refine_tok": ["give", "me", "the", "number", "of", "patients", "on", "main", "type", "of", "drug", "prescription", "who", "have", "diagnoses", "icd9", "code", "v4962", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DIAGNOSES.\"ICD9_CODE\"", "=", "\"V4962\"", "AND", "PRESCRIPTIONS.\"DRUG_TYPE\"", "=", "\"MAIN\""]}
{"key": "8140727ca0b4e8d1c89a1a5d0bfd774f", "format": {"table": [0, 1, 3], "cond": [[1, 2, 0, "V433"], [3, 3, 0, "MAIN"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what number of patients diagnosed under icd9 code v433 had the drug type main?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DIAGNOSES.\"ICD9_CODE\" = \"V433\" AND PRESCRIPTIONS.\"DRUG_TYPE\" = \"MAIN\"", "question_refine_tok": ["what", "number", "of", "patients", "diagnosed", "under", "icd9", "code", "v433", "had", "the", "drug", "type", "main", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DIAGNOSES.\"ICD9_CODE\"", "=", "\"V433\"", "AND", "PRESCRIPTIONS.\"DRUG_TYPE\"", "=", "\"MAIN\""]}
{"key": "7399c196db75dfc2b59aa52fd6d4d56b", "format": {"table": [0, 1, 3], "cond": [[1, 2, 0, "28860"], [3, 3, 0, "BASE"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "provide me the number of patients taking base type drug prescription who have diagnoses icd9 code 28860.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DIAGNOSES.\"ICD9_CODE\" = \"28860\" AND PRESCRIPTIONS.\"DRUG_TYPE\" = \"BASE\"", "question_refine_tok": ["provide", "me", "the", "number", "of", "patients", "taking", "base", "type", "drug", "prescription", "who", "have", "diagnoses", "icd9", "code", "28860", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DIAGNOSES.\"ICD9_CODE\"", "=", "\"28860\"", "AND", "PRESCRIPTIONS.\"DRUG_TYPE\"", "=", "\"BASE\""]}
{"key": "4f18d436657d861047bffc9c97df4f2c", "format": {"table": [0, 1, 3], "cond": [[1, 2, 0, "9600"], [3, 3, 0, "ADDITIVE"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients are with asian etnicity and are below 50 years of age?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DIAGNOSES.\"ICD9_CODE\" = \"9600\" AND PRESCRIPTIONS.\"DRUG_TYPE\" = \"ADDITIVE\"", "question_refine_tok": ["how", "many", "patients", "are", "with", "asian", "etnicity", "and", "are", "below", "50", "years", "of", "age", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DIAGNOSES.\"ICD9_CODE\"", "=", "\"9600\"", "AND", "PRESCRIPTIONS.\"DRUG_TYPE\"", "=", "\"ADDITIVE\""]}
{"key": "b3ccfa540e02ed9393781fe9779eeaf5", "format": {"table": [0, 1, 3], "cond": [[1, 2, 0, "5180"], [3, 3, 0, "MAIN"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients on main drug type prescription have diagnosis icd9 code 5180?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DIAGNOSES.\"ICD9_CODE\" = \"5180\" AND PRESCRIPTIONS.\"DRUG_TYPE\" = \"MAIN\"", "question_refine_tok": ["how", "many", "patients", "on", "main", "drug", "type", "prescription", "have", "diagnosis", "icd9", "code", "5180", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DIAGNOSES.\"ICD9_CODE\"", "=", "\"5180\"", "AND", "PRESCRIPTIONS.\"DRUG_TYPE\"", "=", "\"MAIN\""]}
{"key": "2c76d6deaa30455efef598d41f1f05a3", "format": {"table": [0, 1, 3], "cond": [[1, 2, 0, "78791"], [3, 3, 0, "ADDITIVE"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "find the number of patients on additive type drug prescription who have diagnoses icd9 code 78791.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DIAGNOSES.\"ICD9_CODE\" = \"78791\" AND PRESCRIPTIONS.\"DRUG_TYPE\" = \"ADDITIVE\"", "question_refine_tok": ["find", "the", "number", "of", "patients", "on", "additive", "type", "drug", "prescription", "who", "have", "diagnoses", "icd9", "code", "78791", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DIAGNOSES.\"ICD9_CODE\"", "=", "\"78791\"", "AND", "PRESCRIPTIONS.\"DRUG_TYPE\"", "=", "\"ADDITIVE\""]}
{"key": "e51e38fc321b0879a92ec68eabd303b9", "format": {"table": [0, 1, 3], "cond": [[1, 2, 0, "59080"], [3, 6, 0, "NEB"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "provide the number of patients whose diagnosis icd9 code is 59080 and drug route is neb.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DIAGNOSES.\"ICD9_CODE\" = \"59080\" AND PRESCRIPTIONS.\"ROUTE\" = \"NEB\"", "question_refine_tok": ["provide", "the", "number", "of", "patients", "whose", "diagnosis", "icd9", "code", "is", "59080", "and", "drug", "route", "is", "neb", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DIAGNOSES.\"ICD9_CODE\"", "=", "\"59080\"", "AND", "PRESCRIPTIONS.\"ROUTE\"", "=", "\"NEB\""]}
{"key": "459311f3361d363927d81ab80fb13336", "format": {"table": [0, 1, 3], "cond": [[1, 2, 0, "1173"], [3, 6, 0, "IH"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many of the patients diagnosed with icd9 code 1173 received ih therapy?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DIAGNOSES.\"ICD9_CODE\" = \"1173\" AND PRESCRIPTIONS.\"ROUTE\" = \"IH\"", "question_refine_tok": ["how", "many", "of", "the", "patients", "diagnosed", "with", "icd9", "code", "1173", "received", "ih", "therapy", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DIAGNOSES.\"ICD9_CODE\"", "=", "\"1173\"", "AND", "PRESCRIPTIONS.\"ROUTE\"", "=", "\"IH\""]}
{"key": "3a6153d3229832c18a5162e28ac4549a", "format": {"table": [0, 1, 3], "cond": [[1, 2, 0, "78559"], [3, 6, 0, "IVPCA"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients are diagnosed with icd9 code 78559 and followed the drug route ivpca?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DIAGNOSES.\"ICD9_CODE\" = \"78559\" AND PRESCRIPTIONS.\"ROUTE\" = \"IVPCA\"", "question_refine_tok": ["how", "many", "patients", "are", "diagnosed", "with", "icd9", "code", "78559", "and", "followed", "the", "drug", "route", "ivpca", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DIAGNOSES.\"ICD9_CODE\"", "=", "\"78559\"", "AND", "PRESCRIPTIONS.\"ROUTE\"", "=", "\"IVPCA\""]}
{"key": "02fa765e4b856c16191758316bd6d2e3", "format": {"table": [0, 1, 3], "cond": [[1, 2, 0, "56212"], [3, 6, 0, "ED"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "get the number of patients who take drug via ed route and have diagnoses icd9 code 56212.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DIAGNOSES.\"ICD9_CODE\" = \"56212\" AND PRESCRIPTIONS.\"ROUTE\" = \"ED\"", "question_refine_tok": ["get", "the", "number", "of", "patients", "who", "take", "drug", "via", "ed", "route", "and", "have", "diagnoses", "icd9", "code", "56212", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DIAGNOSES.\"ICD9_CODE\"", "=", "\"56212\"", "AND", "PRESCRIPTIONS.\"ROUTE\"", "=", "\"ED\""]}
{"key": "46c4151b52d10615988517fb70a839ab", "format": {"table": [0, 1, 3], "cond": [[1, 2, 0, "E9429"], [3, 6, 0, "NU"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients on nu route of drug administration have diagnoses icd9 code e9429?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DIAGNOSES.\"ICD9_CODE\" = \"E9429\" AND PRESCRIPTIONS.\"ROUTE\" = \"NU\"", "question_refine_tok": ["how", "many", "patients", "on", "nu", "route", "of", "drug", "administration", "have", "diagnoses", "icd9", "code", "e9429", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DIAGNOSES.\"ICD9_CODE\"", "=", "\"E9429\"", "AND", "PRESCRIPTIONS.\"ROUTE\"", "=", "\"NU\""]}
{"key": "39eb339e284a2fac548691117d2654e1", "format": {"table": [0, 1, 3], "cond": [[1, 2, 0, "25061"], [3, 6, 0, "IVPCA"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients diagnosed under icd9 code 25061 had drug route ivpca?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DIAGNOSES.\"ICD9_CODE\" = \"25061\" AND PRESCRIPTIONS.\"ROUTE\" = \"IVPCA\"", "question_refine_tok": ["how", "many", "patients", "diagnosed", "under", "icd9", "code", "25061", "had", "drug", "route", "ivpca", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DIAGNOSES.\"ICD9_CODE\"", "=", "\"25061\"", "AND", "PRESCRIPTIONS.\"ROUTE\"", "=", "\"IVPCA\""]}
{"key": "9b4eecf4c10d7fb67d36d7561b723b04", "format": {"table": [0, 1, 4], "cond": [[1, 2, 0, "48249"], [4, 4, 0, "delta"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "let me know the number of patients with diagnoses icd9 code 48249 who had delta abnormal lab test status.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DIAGNOSES.\"ICD9_CODE\" = \"48249\" AND LAB.\"FLAG\" = \"delta\"", "question_refine_tok": ["let", "me", "know", "the", "number", "of", "patients", "with", "diagnoses", "icd9", "code", "48249", "who", "had", "delta", "abnormal", "lab", "test", "status", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DIAGNOSES.\"ICD9_CODE\"", "=", "\"48249\"", "AND", "LAB.\"FLAG\"", "=", "\"delta\""]}
{"key": "7d70b50e919bd9af56c2082714c84654", "format": {"table": [0, 1, 4], "cond": [[1, 2, 0, "36202"], [4, 4, 0, "abnormal"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of patients with abnormal lab test status who have diagnoses icd9 code 36202.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DIAGNOSES.\"ICD9_CODE\" = \"36202\" AND LAB.\"FLAG\" = \"abnormal\"", "question_refine_tok": ["count", "the", "number", "of", "patients", "with", "abnormal", "lab", "test", "status", "who", "have", "diagnoses", "icd9", "code", "36202", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DIAGNOSES.\"ICD9_CODE\"", "=", "\"36202\"", "AND", "LAB.\"FLAG\"", "=", "\"abnormal\""]}
{"key": "af1596d5bd61f6a24473171af5eec2eb", "format": {"table": [0, 1, 4], "cond": [[1, 2, 0, "29281"], [4, 7, 0, "Blood"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "find the number of patients who had blood fluid lab test and had diagnoses icd9 code 29281.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DIAGNOSES.\"ICD9_CODE\" = \"29281\" AND LAB.\"FLUID\" = \"Blood\"", "question_refine_tok": ["find", "the", "number", "of", "patients", "who", "had", "blood", "fluid", "lab", "test", "and", "had", "diagnoses", "icd9", "code", "29281", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DIAGNOSES.\"ICD9_CODE\"", "=", "\"29281\"", "AND", "LAB.\"FLUID\"", "=", "\"Blood\""]}
{"key": "e811bb00e276a76754b20ea118a699ee", "format": {"table": [0, 1, 4], "cond": [[1, 2, 0, "3310"], [4, 7, 0, "Pleural"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients diagnosed with icd9 code 3310 had pleural fluid test?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DIAGNOSES.\"ICD9_CODE\" = \"3310\" AND LAB.\"FLUID\" = \"Pleural\"", "question_refine_tok": ["how", "many", "patients", "diagnosed", "with", "icd9", "code", "3310", "had", "pleural", "fluid", "test", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DIAGNOSES.\"ICD9_CODE\"", "=", "\"3310\"", "AND", "LAB.\"FLUID\"", "=", "\"Pleural\""]}
{"key": "e96f8abbf2000dfd229d296ad404e6ff", "format": {"table": [0, 1, 4], "cond": [[1, 2, 0, "1173"], [4, 7, 0, "Urine"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "among patients who had a lab test of urine, how many of them were diagnosed with icd9 code 1173?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DIAGNOSES.\"ICD9_CODE\" = \"1173\" AND LAB.\"FLUID\" = \"Urine\"", "question_refine_tok": ["among", "patients", "who", "had", "a", "lab", "test", "of", "urine", ",", "how", "many", "of", "them", "were", "diagnosed", "with", "icd9", "code", "1173", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DIAGNOSES.\"ICD9_CODE\"", "=", "\"1173\"", "AND", "LAB.\"FLUID\"", "=", "\"Urine\""]}
{"key": "901774d8681bc18531207235b43cfbe1", "format": {"table": [0, 1, 4], "cond": [[1, 2, 0, "42831"], [4, 7, 0, "Other Body Fluid"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients whose lab test fluid is other body fluid were diagnosed under icd9 code 42831?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DIAGNOSES.\"ICD9_CODE\" = \"42831\" AND LAB.\"FLUID\" = \"Other Body Fluid\"", "question_refine_tok": ["how", "many", "patients", "whose", "lab", "test", "fluid", "is", "other", "body", "fluid", "were", "diagnosed", "under", "icd9", "code", "42831", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DIAGNOSES.\"ICD9_CODE\"", "=", "\"42831\"", "AND", "LAB.\"FLUID\"", "=", "\"Other", "Body", "Fluid\""]}
{"key": "fffc515eff2ef9e8510ba72b12502fc0", "format": {"table": [0, 1, 4], "cond": [[1, 2, 0, "V667"], [4, 7, 0, "Cerebrospinal Fluid (CSF)"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what number of patients were diagnosed under icd9 code v667 and their lab test fluid was cerebrospinal fluid (csf)?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DIAGNOSES.\"ICD9_CODE\" = \"V667\" AND LAB.\"FLUID\" = \"Cerebrospinal Fluid (CSF)\"", "question_refine_tok": ["what", "number", "of", "patients", "were", "diagnosed", "under", "icd9", "code", "v667", "and", "their", "lab", "test", "fluid", "was", "cerebrospinal", "fluid", "(", "csf", ")", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DIAGNOSES.\"ICD9_CODE\"", "=", "\"V667\"", "AND", "LAB.\"FLUID\"", "=", "\"Cerebrospinal", "Fluid", "(CSF)\""]}
{"key": "5643660367b4e1b5fd05a198b5a164d0", "format": {"table": [0, 1, 4], "cond": [[1, 2, 0, "74602"], [4, 7, 0, "Cerebrospinal Fluid (CSF)"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "get me the number of patients with csf lab test who have diagnoses icd9 code 74602.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DIAGNOSES.\"ICD9_CODE\" = \"74602\" AND LAB.\"FLUID\" = \"Cerebrospinal Fluid (CSF)\"", "question_refine_tok": ["get", "me", "the", "number", "of", "patients", "with", "csf", "lab", "test", "who", "have", "diagnoses", "icd9", "code", "74602", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DIAGNOSES.\"ICD9_CODE\"", "=", "\"74602\"", "AND", "LAB.\"FLUID\"", "=", "\"Cerebrospinal", "Fluid", "(CSF)\""]}
{"key": "04611ecff04eebf273968314ac625e6d", "format": {"table": [0, 1, 4], "cond": [[1, 2, 0, "42613"], [4, 8, 0, "Hematology"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what number of patients were diagnosed under diagnoses icd9 code 42613 with lab test category is hamatology?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DIAGNOSES.\"ICD9_CODE\" = \"42613\" AND LAB.\"CATEGORY\" = \"Hematology\"", "question_refine_tok": ["what", "number", "of", "patients", "were", "diagnosed", "under", "diagnoses", "icd9", "code", "42613", "with", "lab", "test", "category", "is", "hamatology", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DIAGNOSES.\"ICD9_CODE\"", "=", "\"42613\"", "AND", "LAB.\"CATEGORY\"", "=", "\"Hematology\""]}
{"key": "d0e55d63dbac1018360a5c7a149e37d2", "format": {"table": [0, 1, 4], "cond": [[1, 2, 0, "53081"], [4, 8, 0, "Hematology"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of patients whose diagnosis icd9 code is 53081 and lab test category is hematology.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DIAGNOSES.\"ICD9_CODE\" = \"53081\" AND LAB.\"CATEGORY\" = \"Hematology\"", "question_refine_tok": ["count", "the", "number", "of", "patients", "whose", "diagnosis", "icd9", "code", "is", "53081", "and", "lab", "test", "category", "is", "hematology", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DIAGNOSES.\"ICD9_CODE\"", "=", "\"53081\"", "AND", "LAB.\"CATEGORY\"", "=", "\"Hematology\""]}
{"key": "179281ded41e9811dd596308005bc3a1", "format": {"table": [0, 1, 4], "cond": [[1, 2, 0, "6824"], [4, 8, 0, "Chemistry"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "find the number of patients categorized under chemistry lab test who had diagnoses icd9 code 6824.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DIAGNOSES.\"ICD9_CODE\" = \"6824\" AND LAB.\"CATEGORY\" = \"Chemistry\"", "question_refine_tok": ["find", "the", "number", "of", "patients", "categorized", "under", "chemistry", "lab", "test", "who", "had", "diagnoses", "icd9", "code", "6824", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DIAGNOSES.\"ICD9_CODE\"", "=", "\"6824\"", "AND", "LAB.\"CATEGORY\"", "=", "\"Chemistry\""]}
{"key": "fe8c62876a5017fdd841c1e7e4a247a0", "format": {"table": [0, 1, 4], "cond": [[1, 2, 0, "431"], [4, 8, 0, "Chemistry"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "let me know the number of patients categorized under chemistry lab test with diagnoses icd9 code 431.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DIAGNOSES.\"ICD9_CODE\" = \"431\" AND LAB.\"CATEGORY\" = \"Chemistry\"", "question_refine_tok": ["let", "me", "know", "the", "number", "of", "patients", "categorized", "under", "chemistry", "lab", "test", "with", "diagnoses", "icd9", "code", "431", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DIAGNOSES.\"ICD9_CODE\"", "=", "\"431\"", "AND", "LAB.\"CATEGORY\"", "=", "\"Chemistry\""]}
{"key": "28ef0bad5bee269b4798e0eec0459f96", "format": {"table": [0, 1, 3], "cond": [[1, 3, 0, "Perforation of intestine"], [3, 3, 0, "MAIN"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of patients who are prescribed main drug type have diagnosis of intestinal perforation?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DIAGNOSES.\"SHORT_TITLE\" = \"Perforation of intestine\" AND PRESCRIPTIONS.\"DRUG_TYPE\" = \"MAIN\"", "question_refine_tok": ["what", "is", "the", "number", "of", "patients", "who", "are", "prescribed", "main", "drug", "type", "have", "diagnosis", "of", "intestinal", "perforation", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"Perforation", "of", "intestine\"", "AND", "PRESCRIPTIONS.\"DRUG_TYPE\"", "=", "\"MAIN\""]}
{"key": "e4caf33a6c6941523646e4c1ea8ba885", "format": {"table": [0, 1, 3], "cond": [[1, 3, 0, "DMI neuro nt st uncntrld"], [3, 3, 0, "MAIN"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of patients whose diagnosis short title is dmi neuro nt st uncntrld with a main drug type.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DIAGNOSES.\"SHORT_TITLE\" = \"DMI neuro nt st uncntrld\" AND PRESCRIPTIONS.\"DRUG_TYPE\" = \"MAIN\"", "question_refine_tok": ["count", "the", "number", "of", "patients", "whose", "diagnosis", "short", "title", "is", "dmi", "neuro", "nt", "st", "uncntrld", "with", "a", "main", "drug", "type", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"DMI", "neuro", "nt", "st", "uncntrld\"", "AND", "PRESCRIPTIONS.\"DRUG_TYPE\"", "=", "\"MAIN\""]}
{"key": "383dc2ae523ce41f4ef0f2e1bfc5ee8e", "format": {"table": [0, 1, 3], "cond": [[1, 3, 0, "Skin disorders NEC"], [3, 3, 0, "ADDITIVE"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many of the patients diagnosed with skin disorders nec were treated with additive therapy?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DIAGNOSES.\"SHORT_TITLE\" = \"Skin disorders NEC\" AND PRESCRIPTIONS.\"DRUG_TYPE\" = \"ADDITIVE\"", "question_refine_tok": ["how", "many", "of", "the", "patients", "diagnosed", "with", "skin", "disorders", "nec", "were", "treated", "with", "additive", "therapy", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"Skin", "disorders", "NEC\"", "AND", "PRESCRIPTIONS.\"DRUG_TYPE\"", "=", "\"ADDITIVE\""]}
{"key": "f55979a6b32893288cf688f7d63fa858", "format": {"table": [0, 1, 3], "cond": [[1, 3, 0, "Neutropenia NOS"], [3, 3, 0, "MAIN"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of patients on main type drug prescription who have the diagnoses of unspecified neutropenia?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DIAGNOSES.\"SHORT_TITLE\" = \"Neutropenia NOS\" AND PRESCRIPTIONS.\"DRUG_TYPE\" = \"MAIN\"", "question_refine_tok": ["what", "is", "the", "number", "of", "patients", "on", "main", "type", "drug", "prescription", "who", "have", "the", "diagnoses", "of", "unspecified", "neutropenia", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"Neutropenia", "NOS\"", "AND", "PRESCRIPTIONS.\"DRUG_TYPE\"", "=", "\"MAIN\""]}
{"key": "02b87ade0b4a32b59bb040c99ecfbf45", "format": {"table": [0, 1, 3], "cond": [[1, 3, 0, "Rec depr psych-psychotic"], [3, 3, 0, "BASE"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients on base drug type prescription have recurrent severe episode of major depressive affective disorder, without mention of psychotic behavior diagnoses? ", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DIAGNOSES.\"SHORT_TITLE\" = \"Rec depr psych-psychotic\" AND PRESCRIPTIONS.\"DRUG_TYPE\" = \"BASE\"", "question_refine_tok": ["how", "many", "patients", "on", "base", "drug", "type", "prescription", "have", "recurrent", "severe", "episode", "of", "major", "depressive", "affective", "disorder", ",", "without", "mention", "of", "psychotic", "behavior", "diagnoses", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"Rec", "depr", "psych-psychotic\"", "AND", "PRESCRIPTIONS.\"DRUG_TYPE\"", "=", "\"BASE\""]}
{"key": "85ce463d0d777e5816f6acc2cb653b1b", "format": {"table": [0, 1, 3], "cond": [[1, 3, 0, "Acute pancreatitis"], [3, 3, 0, "MAIN"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "get the number of patients diagnosed with acute pancreatitis who have main type drug prescription.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DIAGNOSES.\"SHORT_TITLE\" = \"Acute pancreatitis\" AND PRESCRIPTIONS.\"DRUG_TYPE\" = \"MAIN\"", "question_refine_tok": ["get", "the", "number", "of", "patients", "diagnosed", "with", "acute", "pancreatitis", "who", "have", "main", "type", "drug", "prescription", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"Acute", "pancreatitis\"", "AND", "PRESCRIPTIONS.\"DRUG_TYPE\"", "=", "\"MAIN\""]}
{"key": "34dd2e9d6e1d9dbdc99df23da843467e", "format": {"table": [0, 1, 3], "cond": [[1, 3, 0, "Mal neo descend colon"], [3, 3, 0, "MAIN"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of patients on main drug type prescription who are diagnosed with malignant neoplasm of descending colon?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DIAGNOSES.\"SHORT_TITLE\" = \"Mal neo descend colon\" AND PRESCRIPTIONS.\"DRUG_TYPE\" = \"MAIN\"", "question_refine_tok": ["what", "is", "the", "number", "of", "patients", "on", "main", "drug", "type", "prescription", "who", "are", "diagnosed", "with", "malignant", "neoplasm", "of", "descending", "colon", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"Mal", "neo", "descend", "colon\"", "AND", "PRESCRIPTIONS.\"DRUG_TYPE\"", "=", "\"MAIN\""]}
{"key": "791be86773e48bb73f9d2211b9c2af36", "format": {"table": [0, 1, 3], "cond": [[1, 3, 0, "Acidosis"], [3, 6, 0, "OU"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "get the number of patients diagnosed with acidosis who have ou route of drug administration.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DIAGNOSES.\"SHORT_TITLE\" = \"Acidosis\" AND PRESCRIPTIONS.\"ROUTE\" = \"OU\"", "question_refine_tok": ["get", "the", "number", "of", "patients", "diagnosed", "with", "acidosis", "who", "have", "ou", "route", "of", "drug", "administration", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"Acidosis\"", "AND", "PRESCRIPTIONS.\"ROUTE\"", "=", "\"OU\""]}
{"key": "3bf967f624be8561a7ac7c2d3d9da42d", "format": {"table": [0, 1, 3], "cond": [[1, 3, 0, "Long-term use of aspirin"], [3, 6, 0, "IV BOLUS"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "let me know the number of patients on iv bolus route of drug administration who have been diagnosed with long-term use of aspirin.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DIAGNOSES.\"SHORT_TITLE\" = \"Long-term use of aspirin\" AND PRESCRIPTIONS.\"ROUTE\" = \"IV BOLUS\"", "question_refine_tok": ["let", "me", "know", "the", "number", "of", "patients", "on", "iv", "bolus", "route", "of", "drug", "administration", "who", "have", "been", "diagnosed", "with", "long", "-", "term", "use", "of", "aspirin", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"Long-term", "use", "of", "aspirin\"", "AND", "PRESCRIPTIONS.\"ROUTE\"", "=", "\"IV", "BOLUS\""]}
{"key": "d51956c69958fc186a9fa32ddbbb99dd", "format": {"table": [0, 1, 3], "cond": [[1, 3, 0, "Regional enteritis NOS"], [3, 6, 0, "LEFT EYE"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients are diagnosed with regional enteritis nos and administration of drug route via left eye?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DIAGNOSES.\"SHORT_TITLE\" = \"Regional enteritis NOS\" AND PRESCRIPTIONS.\"ROUTE\" = \"LEFT EYE\"", "question_refine_tok": ["how", "many", "patients", "are", "diagnosed", "with", "regional", "enteritis", "nos", "and", "administration", "of", "drug", "route", "via", "left", "eye", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"Regional", "enteritis", "NOS\"", "AND", "PRESCRIPTIONS.\"ROUTE\"", "=", "\"LEFT", "EYE\""]}
{"key": "d6d7734a0442f8336e56533393be8546", "format": {"table": [0, 1, 3], "cond": [[1, 3, 0, "Dvrtclo colon w hmrhg"], [3, 6, 0, "IV BOLUS"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of patients on iv bolus drug route who have short title of diagnosis as dvrtclo colon w hmrhg?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DIAGNOSES.\"SHORT_TITLE\" = \"Dvrtclo colon w hmrhg\" AND PRESCRIPTIONS.\"ROUTE\" = \"IV BOLUS\"", "question_refine_tok": ["what", "is", "the", "number", "of", "patients", "on", "iv", "bolus", "drug", "route", "who", "have", "short", "title", "of", "diagnosis", "as", "dvrtclo", "colon", "w", "hmrhg", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"Dvrtclo", "colon", "w", "hmrhg\"", "AND", "PRESCRIPTIONS.\"ROUTE\"", "=", "\"IV", "BOLUS\""]}
{"key": "5a8ca5fee7a5b7c9e90477affc767ad3", "format": {"table": [0, 1, 3], "cond": [[1, 3, 0, "Pneumonia, organism NOS"], [3, 6, 0, "IH"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "get me the number of patients on ih route of drug administration who have diagnoses of pneumonia, unspecified organism.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DIAGNOSES.\"SHORT_TITLE\" = \"Pneumonia, organism NOS\" AND PRESCRIPTIONS.\"ROUTE\" = \"IH\"", "question_refine_tok": ["get", "me", "the", "number", "of", "patients", "on", "ih", "route", "of", "drug", "administration", "who", "have", "diagnoses", "of", "pneumonia", ",", "unspecified", "organism", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"Pneumonia,", "organism", "NOS\"", "AND", "PRESCRIPTIONS.\"ROUTE\"", "=", "\"IH\""]}
{"key": "79d0a95627e3c6cf55c2cd3cf8f6e9dc", "format": {"table": [0, 1, 3], "cond": [[1, 3, 0, "Mv collision NOS-driver"], [3, 6, 0, "ID"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many of the patients diagnosed with mv collision nos-driver received id therapy?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DIAGNOSES.\"SHORT_TITLE\" = \"Mv collision NOS-driver\" AND PRESCRIPTIONS.\"ROUTE\" = \"ID\"", "question_refine_tok": ["how", "many", "of", "the", "patients", "diagnosed", "with", "mv", "collision", "nos", "-", "driver", "received", "i", "d", "therapy", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"Mv", "collision", "NOS-driver\"", "AND", "PRESCRIPTIONS.\"ROUTE\"", "=", "\"ID\""]}
{"key": "6f5475ea7a224ba97450d985069c588b", "format": {"table": [0, 1, 3], "cond": [[1, 3, 0, "Hx of colonic malignancy"], [3, 6, 0, "IV"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients are diagnosed with hx of colonic malignancy and have iv route of drug administration?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DIAGNOSES.\"SHORT_TITLE\" = \"Hx of colonic malignancy\" AND PRESCRIPTIONS.\"ROUTE\" = \"IV\"", "question_refine_tok": ["how", "many", "patients", "are", "diagnosed", "with", "hx", "of", "colonic", "malignancy", "and", "have", "iv", "route", "of", "drug", "administration", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"Hx", "of", "colonic", "malignancy\"", "AND", "PRESCRIPTIONS.\"ROUTE\"", "=", "\"IV\""]}
{"key": "36026de87a6e1632976c19b7fae59bcc", "format": {"table": [0, 1, 4], "cond": [[1, 3, 0, "Pressure ulcer, buttock"], [4, 4, 0, "delta"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of patients who had delta abnormal lab test status with a diagnoses of buttock pressure ulcer.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DIAGNOSES.\"SHORT_TITLE\" = \"Pressure ulcer, buttock\" AND LAB.\"FLAG\" = \"delta\"", "question_refine_tok": ["count", "the", "number", "of", "patients", "who", "had", "delta", "abnormal", "lab", "test", "status", "with", "a", "diagnoses", "of", "buttock", "pressure", "ulcer", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"Pressure", "ulcer,", "buttock\"", "AND", "LAB.\"FLAG\"", "=", "\"delta\""]}
{"key": "339f7134ce0cec6d5c09c2d77683a114", "format": {"table": [0, 1, 4], "cond": [[1, 3, 0, "Ocl crtd art wo infrct"], [4, 4, 0, "abnormal"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what number of patients with whose lab test result is abnormal had the diagnoses titled ocl crtd art wo infrct?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DIAGNOSES.\"SHORT_TITLE\" = \"Ocl crtd art wo infrct\" AND LAB.\"FLAG\" = \"abnormal\"", "question_refine_tok": ["what", "number", "of", "patients", "with", "whose", "lab", "test", "result", "is", "abnormal", "had", "the", "diagnoses", "titled", "ocl", "crtd", "art", "wo", "infrct", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"Ocl", "crtd", "art", "wo", "infrct\"", "AND", "LAB.\"FLAG\"", "=", "\"abnormal\""]}
{"key": "d68cb34157ef7272f99d9c6e8daadf6f", "format": {"table": [0, 1, 4], "cond": [[1, 3, 0, "Benign neo pituitary"], [4, 7, 0, "Blood"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "bring me the number of patients diagnosed with benign neoplasm of pituitary gland who had blood test.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DIAGNOSES.\"SHORT_TITLE\" = \"Benign neo pituitary\" AND LAB.\"FLUID\" = \"Blood\"", "question_refine_tok": ["bring", "me", "the", "number", "of", "patients", "diagnosed", "with", "benign", "neoplasm", "of", "pituitary", "gland", "who", "had", "blood", "test", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"Benign", "neo", "pituitary\"", "AND", "LAB.\"FLUID\"", "=", "\"Blood\""]}
{"key": "228c60031b45bb0e43d1202fc78f9acd", "format": {"table": [0, 1, 4], "cond": [[1, 3, 0, "Ac/chr syst/dia hrt fail"], [4, 7, 0, "Joint Fluid"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients have joint fluid lab test done and were diagnosed with acute/chronic systolic/diastolic heart failure?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DIAGNOSES.\"SHORT_TITLE\" = \"Ac/chr syst/dia hrt fail\" AND LAB.\"FLUID\" = \"Joint Fluid\"", "question_refine_tok": ["how", "many", "patients", "have", "joint", "fluid", "lab", "test", "done", "and", "were", "diagnosed", "with", "acute", "/", "chronic", "systolic", "/", "diastolic", "heart", "failure", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"Ac/chr", "syst/dia", "hrt", "fail\"", "AND", "LAB.\"FLUID\"", "=", "\"Joint", "Fluid\""]}
{"key": "0c988900209bb7120996fcfe595d69e3", "format": {"table": [0, 1, 4], "cond": [[1, 3, 0, "Noninf gastroenterit NEC"], [4, 7, 0, "Pleural"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "give me the number of patients whose diagnoses is noninf gastroenterit nec and lab test fluid is pleural.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DIAGNOSES.\"SHORT_TITLE\" = \"Noninf gastroenterit NEC\" AND LAB.\"FLUID\" = \"Pleural\"", "question_refine_tok": ["give", "me", "the", "number", "of", "patients", "whose", "diagnoses", "is", "noninf", "gastroenterit", "nec", "and", "lab", "test", "fluid", "is", "pleural", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"Noninf", "gastroenterit", "NEC\"", "AND", "LAB.\"FLUID\"", "=", "\"Pleural\""]}
{"key": "112dde4656dc9b22e05bde4ca45520d3", "format": {"table": [0, 1, 4], "cond": [[1, 3, 0, "Adv eff benzodiaz tranq"], [4, 7, 0, "Pleural"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "provide the number of patients having lab test fluid as pleural and diagnosed with adv eff benzodiaz tranq.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DIAGNOSES.\"SHORT_TITLE\" = \"Adv eff benzodiaz tranq\" AND LAB.\"FLUID\" = \"Pleural\"", "question_refine_tok": ["provide", "the", "number", "of", "patients", "having", "lab", "test", "fluid", "as", "pleural", "and", "diagnosed", "with", "adv", "eff", "benzodiaz", "tranq", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"Adv", "eff", "benzodiaz", "tranq\"", "AND", "LAB.\"FLUID\"", "=", "\"Pleural\""]}
{"key": "4b35399627cb77abdfd967869d101dae", "format": {"table": [0, 1, 4], "cond": [[1, 3, 0, "Convulsions NEC"], [4, 7, 0, "Cerebrospinal Fluid (CSF)"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "report the number of patients with other convulsions diagnoses who had csf lab test done.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DIAGNOSES.\"SHORT_TITLE\" = \"Convulsions NEC\" AND LAB.\"FLUID\" = \"Cerebrospinal Fluid (CSF)\"", "question_refine_tok": ["report", "the", "number", "of", "patients", "with", "other", "convulsions", "diagnoses", "who", "had", "csf", "lab", "test", "done", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"Convulsions", "NEC\"", "AND", "LAB.\"FLUID\"", "=", "\"Cerebrospinal", "Fluid", "(CSF)\""]}
{"key": "56f2e9acfdba3809c228415b8324b741", "format": {"table": [0, 1, 4], "cond": [[1, 3, 0, "Do not resusctate status"], [4, 8, 0, "Hematology"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of patients diagnosed with do not resusctate status and with lab test hematology?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DIAGNOSES.\"SHORT_TITLE\" = \"Do not resusctate status\" AND LAB.\"CATEGORY\" = \"Hematology\"", "question_refine_tok": ["what", "is", "the", "number", "of", "patients", "diagnosed", "with", "do", "not", "resusctate", "status", "and", "with", "lab", "test", "hematology", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"Do", "not", "resusctate", "status\"", "AND", "LAB.\"CATEGORY\"", "=", "\"Hematology\""]}
{"key": "d23431bc201636b4ef96d85e99a8b11d", "format": {"table": [0, 1, 4], "cond": [[1, 3, 0, "Disrup-external op wound"], [4, 8, 0, "Hematology"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "give me the number of patients with hematology lab test category who were diagnosed with disruption of external operation (surgical) wound.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DIAGNOSES.\"SHORT_TITLE\" = \"Disrup-external op wound\" AND LAB.\"CATEGORY\" = \"Hematology\"", "question_refine_tok": ["give", "me", "the", "number", "of", "patients", "with", "hematology", "lab", "test", "category", "who", "were", "diagnosed", "with", "disruption", "of", "external", "operation", "(", "surgical", ")", "wound", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"Disrup-external", "op", "wound\"", "AND", "LAB.\"CATEGORY\"", "=", "\"Hematology\""]}
{"key": "8cf25691d87ee3925fe980837602e400", "format": {"table": [0, 1, 3], "cond": [[1, 4, 0, "Tietze's disease"], [3, 3, 0, "BASE"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients are diagnosed with tietze's disease and their drug type is base?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DIAGNOSES.\"LONG_TITLE\" = \"Tietze's disease\" AND PRESCRIPTIONS.\"DRUG_TYPE\" = \"BASE\"", "question_refine_tok": ["how", "many", "patients", "are", "diagnosed", "with", "tietze", "'s", "disease", "and", "their", "drug", "type", "is", "base", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DIAGNOSES.\"LONG_TITLE\"", "=", "\"Tietze's", "disease\"", "AND", "PRESCRIPTIONS.\"DRUG_TYPE\"", "=", "\"BASE\""]}
{"key": "0942a6c9fb0b3b2d0c62439318419621", "format": {"table": [0, 1, 3], "cond": [[1, 4, 0, "Secondary neuroendocrine tumor of bone"], [3, 3, 0, "BASE"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients with secondary neuroendocrine tumor of bone were treated with base drug?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DIAGNOSES.\"LONG_TITLE\" = \"Secondary neuroendocrine tumor of bone\" AND PRESCRIPTIONS.\"DRUG_TYPE\" = \"BASE\"", "question_refine_tok": ["how", "many", "patients", "with", "secondary", "neuroendocrine", "tumor", "of", "bone", "were", "treated", "with", "base", "drug", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DIAGNOSES.\"LONG_TITLE\"", "=", "\"Secondary", "neuroendocrine", "tumor", "of", "bone\"", "AND", "PRESCRIPTIONS.\"DRUG_TYPE\"", "=", "\"BASE\""]}
{"key": "40f6151f7981dd5a7d625ebd5c2e7a75", "format": {"table": [0, 1, 3], "cond": [[1, 4, 0, "Insomnia, unspecified"], [3, 3, 0, "ADDITIVE"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of patients with drug type additive who have been diagnosed with insomnia, unspecified.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DIAGNOSES.\"LONG_TITLE\" = \"Insomnia, unspecified\" AND PRESCRIPTIONS.\"DRUG_TYPE\" = \"ADDITIVE\"", "question_refine_tok": ["count", "the", "number", "of", "patients", "with", "drug", "type", "additive", "who", "have", "been", "diagnosed", "with", "insomnia", ",", "unspecified", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DIAGNOSES.\"LONG_TITLE\"", "=", "\"Insomnia,", "unspecified\"", "AND", "PRESCRIPTIONS.\"DRUG_TYPE\"", "=", "\"ADDITIVE\""]}
{"key": "31da8f844b164cd0fef0620e30768f3d", "format": {"table": [0, 1, 3], "cond": [[1, 4, 0, "Acute kidney failure with lesion of tubular necrosis"], [3, 3, 0, "BASE"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what number of patients diagnosed with acute kidney failure with lesion of tubular necrosis have the drug type base?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DIAGNOSES.\"LONG_TITLE\" = \"Acute kidney failure with lesion of tubular necrosis\" AND PRESCRIPTIONS.\"DRUG_TYPE\" = \"BASE\"", "question_refine_tok": ["what", "number", "of", "patients", "diagnosed", "with", "acute", "kidney", "failure", "with", "lesion", "of", "tubular", "necrosis", "have", "the", "drug", "type", "base", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DIAGNOSES.\"LONG_TITLE\"", "=", "\"Acute", "kidney", "failure", "with", "lesion", "of", "tubular", "necrosis\"", "AND", "PRESCRIPTIONS.\"DRUG_TYPE\"", "=", "\"BASE\""]}
{"key": "07c1134129e6325a61483023154bec08", "format": {"table": [0, 1, 3], "cond": [[1, 4, 0, "Diabetes mellitus without mention of complication, type II or unspecified type, not stated as uncontrolled"], [3, 6, 0, "ORAL"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of patients who take drug via oral route and have diabetes mellitus without mention of complication, type ii or unspecified type, not stated as uncontrolled diagnoses?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DIAGNOSES.\"LONG_TITLE\" = \"Diabetes mellitus without mention of complication, type II or unspecified type, not stated as uncontrolled\" AND PRESCRIPTIONS.\"ROUTE\" = \"ORAL\"", "question_refine_tok": ["what", "is", "the", "number", "of", "patients", "who", "take", "drug", "via", "oral", "route", "and", "have", "diabetes", "mellitus", "without", "mention", "of", "complication", ",", "type", "ii", "or", "unspecified", "type", ",", "not", "stated", "as", "uncontrolled", "diagnoses", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DIAGNOSES.\"LONG_TITLE\"", "=", "\"Diabetes", "mellitus", "without", "mention", "of", "complication,", "type", "II", "or", "unspecified", "type,", "not", "stated", "as", "uncontrolled\"", "AND", "PRESCRIPTIONS.\"ROUTE\"", "=", "\"ORAL\""]}
{"key": "3ba4dcd99eadbd6f0ce3c54a8552a3ed", "format": {"table": [0, 1, 3], "cond": [[1, 4, 0, "Atherosclerosis of native arteries of the extremities with intermittent claudication"], [3, 6, 0, "REPLACE"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "provide the number of patients whose diagnosis long title is atherosclerosis of native arteries of the extremities with intermittent claudication and drug route is replace.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DIAGNOSES.\"LONG_TITLE\" = \"Atherosclerosis of native arteries of the extremities with intermittent claudication\" AND PRESCRIPTIONS.\"ROUTE\" = \"REPLACE\"", "question_refine_tok": ["provide", "the", "number", "of", "patients", "whose", "diagnosis", "long", "title", "is", "atherosclerosis", "of", "native", "arteries", "of", "the", "extremities", "with", "intermittent", "claudication", "and", "drug", "route", "is", "replace", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DIAGNOSES.\"LONG_TITLE\"", "=", "\"Atherosclerosis", "of", "native", "arteries", "of", "the", "extremities", "with", "intermittent", "claudication\"", "AND", "PRESCRIPTIONS.\"ROUTE\"", "=", "\"REPLACE\""]}
{"key": "b1c6d36fede7197551db45a19d7cfb3f", "format": {"table": [0, 1, 3], "cond": [[1, 4, 0, "Opioid type dependence, unspecified"], [3, 6, 0, "IVPCA"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "calculate the number of patients with unspecified opioid type dependence who received drug via ivpca route", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DIAGNOSES.\"LONG_TITLE\" = \"Opioid type dependence, unspecified\" AND PRESCRIPTIONS.\"ROUTE\" = \"IVPCA\"", "question_refine_tok": ["calculate", "the", "number", "of", "patients", "with", "unspecified", "opioid", "type", "dependence", "who", "received", "drug", "via", "ivpca", "route"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DIAGNOSES.\"LONG_TITLE\"", "=", "\"Opioid", "type", "dependence,", "unspecified\"", "AND", "PRESCRIPTIONS.\"ROUTE\"", "=", "\"IVPCA\""]}
{"key": "57e705ccfd06923276352a06b3b97ee0", "format": {"table": [0, 1, 3], "cond": [[1, 4, 0, "Benign neoplasm of spinal meninges"], [3, 6, 0, "SL"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "find the number of patients taking drug via sl route who have been diagnosed with benign neoplasm of spinal meninges.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DIAGNOSES.\"LONG_TITLE\" = \"Benign neoplasm of spinal meninges\" AND PRESCRIPTIONS.\"ROUTE\" = \"SL\"", "question_refine_tok": ["find", "the", "number", "of", "patients", "taking", "drug", "via", "sl", "route", "who", "have", "been", "diagnosed", "with", "benign", "neoplasm", "of", "spinal", "meninges", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DIAGNOSES.\"LONG_TITLE\"", "=", "\"Benign", "neoplasm", "of", "spinal", "meninges\"", "AND", "PRESCRIPTIONS.\"ROUTE\"", "=", "\"SL\""]}
{"key": "0f2e8e2f9c969d49a43103b2b8009775", "format": {"table": [0, 1, 4], "cond": [[1, 4, 0, "Migraine, unspecified, without mention of intractable migraine without mention of status migrainosus"], [4, 4, 0, "delta"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "calculate the number of patients having unspecified migraine unspecified, without mention of intractable migraine and status migrainosus, who had abnormal lab test results. ", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DIAGNOSES.\"LONG_TITLE\" = \"Migraine, unspecified, without mention of intractable migraine without mention of status migrainosus\" AND LAB.\"FLAG\" = \"delta\"", "question_refine_tok": ["calculate", "the", "number", "of", "patients", "having", "unspecified", "migraine", "unspecified", ",", "without", "mention", "of", "intractable", "migraine", "and", "status", "migrainosus", ",", "who", "had", "abnormal", "lab", "test", "results", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DIAGNOSES.\"LONG_TITLE\"", "=", "\"Migraine,", "unspecified,", "without", "mention", "of", "intractable", "migraine", "without", "mention", "of", "status", "migrainosus\"", "AND", "LAB.\"FLAG\"", "=", "\"delta\""]}
{"key": "82430594bf8a41ab69b2756f10bc9771", "format": {"table": [0, 1, 4], "cond": [[1, 4, 0, "Rheumatic heart failure (congestive)"], [4, 4, 0, "delta"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of patients diagnosed with rheumatic heart failure (congestive) who have delta abnormal lab test?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DIAGNOSES.\"LONG_TITLE\" = \"Rheumatic heart failure (congestive)\" AND LAB.\"FLAG\" = \"delta\"", "question_refine_tok": ["what", "is", "the", "number", "of", "patients", "diagnosed", "with", "rheumatic", "heart", "failure", "(", "congestive", ")", "who", "have", "delta", "abnormal", "lab", "test", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DIAGNOSES.\"LONG_TITLE\"", "=", "\"Rheumatic", "heart", "failure", "(congestive)\"", "AND", "LAB.\"FLAG\"", "=", "\"delta\""]}
{"key": "93ff7129057c8298b15babd65718f719", "format": {"table": [0, 1, 4], "cond": [[1, 4, 0, "Encephalopathy, unspecified"], [4, 4, 0, "abnormal"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients are diagnosed with encephalopathy unspecified and tested in lab and the results shows abnormal status?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DIAGNOSES.\"LONG_TITLE\" = \"Encephalopathy, unspecified\" AND LAB.\"FLAG\" = \"abnormal\"", "question_refine_tok": ["how", "many", "patients", "are", "diagnosed", "with", "encephalopathy", "unspecified", "and", "tested", "in", "lab", "and", "the", "results", "shows", "abnormal", "status", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DIAGNOSES.\"LONG_TITLE\"", "=", "\"Encephalopathy,", "unspecified\"", "AND", "LAB.\"FLAG\"", "=", "\"abnormal\""]}
{"key": "6cee6a121a7c2ae6d64cb583801f92a6", "format": {"table": [0, 1, 4], "cond": [[1, 4, 0, "Embolism and thrombosis of iliac artery"], [4, 4, 0, "delta"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of patients whose diagnoses long title is embolism and thrombosis of iliac artery and lab test abnormal status is delta.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DIAGNOSES.\"LONG_TITLE\" = \"Embolism and thrombosis of iliac artery\" AND LAB.\"FLAG\" = \"delta\"", "question_refine_tok": ["count", "the", "number", "of", "patients", "whose", "diagnoses", "long", "title", "is", "embolism", "and", "thrombosis", "of", "iliac", "artery", "and", "lab", "test", "abnormal", "status", "is", "delta", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DIAGNOSES.\"LONG_TITLE\"", "=", "\"Embolism", "and", "thrombosis", "of", "iliac", "artery\"", "AND", "LAB.\"FLAG\"", "=", "\"delta\""]}
{"key": "58fb10c8b562058c35e6662f72744f45", "format": {"table": [0, 1, 4], "cond": [[1, 4, 0, "Personal history of venous thrombosis and embolism"], [4, 4, 0, "delta"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients who were diagnosed with personal history of venous thrombosis and embolism had lab test result as delta?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DIAGNOSES.\"LONG_TITLE\" = \"Personal history of venous thrombosis and embolism\" AND LAB.\"FLAG\" = \"delta\"", "question_refine_tok": ["how", "many", "patients", "who", "were", "diagnosed", "with", "personal", "history", "of", "venous", "thrombosis", "and", "embolism", "had", "lab", "test", "result", "as", "delta", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DIAGNOSES.\"LONG_TITLE\"", "=", "\"Personal", "history", "of", "venous", "thrombosis", "and", "embolism\"", "AND", "LAB.\"FLAG\"", "=", "\"delta\""]}
{"key": "0a0cc1bbc0b79fb4a74261a2cb2f485c", "format": {"table": [0, 1, 4], "cond": [[1, 4, 0, "Personal history of malignant neoplasm of bladder"], [4, 4, 0, "abnormal"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "give the number of patients whose diagnoses long title is personal history of malignant neoplasm of bladder and lab test abnormal status is abnormal.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DIAGNOSES.\"LONG_TITLE\" = \"Personal history of malignant neoplasm of bladder\" AND LAB.\"FLAG\" = \"abnormal\"", "question_refine_tok": ["give", "the", "number", "of", "patients", "whose", "diagnoses", "long", "title", "is", "personal", "history", "of", "malignant", "neoplasm", "of", "bladder", "and", "lab", "test", "abnormal", "status", "is", "abnormal", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DIAGNOSES.\"LONG_TITLE\"", "=", "\"Personal", "history", "of", "malignant", "neoplasm", "of", "bladder\"", "AND", "LAB.\"FLAG\"", "=", "\"abnormal\""]}
{"key": "60573a087558e2adb1dc107d96846882", "format": {"table": [0, 1, 4], "cond": [[1, 4, 0, "Aftercare for healing traumatic fracture of lower leg"], [4, 7, 0, "Pleural"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "give me the number of patients who were diagnosed for aftercare for healing traumatic fracture of lower leg and lab test fluid is pleural.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DIAGNOSES.\"LONG_TITLE\" = \"Aftercare for healing traumatic fracture of lower leg\" AND LAB.\"FLUID\" = \"Pleural\"", "question_refine_tok": ["give", "me", "the", "number", "of", "patients", "who", "were", "diagnosed", "for", "aftercare", "for", "healing", "traumatic", "fracture", "of", "lower", "leg", "and", "lab", "test", "fluid", "is", "pleural", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DIAGNOSES.\"LONG_TITLE\"", "=", "\"Aftercare", "for", "healing", "traumatic", "fracture", "of", "lower", "leg\"", "AND", "LAB.\"FLUID\"", "=", "\"Pleural\""]}
{"key": "4ba773eb5b8287f9fd70ca651bdadcc7", "format": {"table": [0, 2, 3], "cond": [[2, 2, 0, 8960], [3, 3, 0, "MAIN"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "get the number of patients on main type drug prescription who have procedure icd9 code 8960.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE PROCEDURES.\"ICD9_CODE\" = \"8960\" AND PRESCRIPTIONS.\"DRUG_TYPE\" = \"MAIN\"", "question_refine_tok": ["get", "the", "number", "of", "patients", "on", "main", "type", "drug", "prescription", "who", "have", "procedure", "icd9", "code", "8960", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "PROCEDURES.\"ICD9_CODE\"", "=", "\"8960\"", "AND", "PRESCRIPTIONS.\"DRUG_TYPE\"", "=", "\"MAIN\""]}
{"key": "e0e65912713bd6a1f03b9de3f4a870eb", "format": {"table": [0, 2, 3], "cond": [[2, 2, 0, 5771], [3, 3, 0, "MAIN"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of patients on main drug prescription who have procedure icd9 code 5771.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE PROCEDURES.\"ICD9_CODE\" = \"5771\" AND PRESCRIPTIONS.\"DRUG_TYPE\" = \"MAIN\"", "question_refine_tok": ["count", "the", "number", "of", "patients", "on", "main", "drug", "prescription", "who", "have", "procedure", "icd9", "code", "5771", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "PROCEDURES.\"ICD9_CODE\"", "=", "\"5771\"", "AND", "PRESCRIPTIONS.\"DRUG_TYPE\"", "=", "\"MAIN\""]}
{"key": "7d3a45668bf1b2913c1ba6e177b0368e", "format": {"table": [0, 2, 3], "cond": [[2, 2, 0, 3799], [3, 3, 0, "BASE"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "get me the number of patients taking base drug type who have procedure icd9 code 3799.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE PROCEDURES.\"ICD9_CODE\" = \"3799\" AND PRESCRIPTIONS.\"DRUG_TYPE\" = \"BASE\"", "question_refine_tok": ["get", "me", "the", "number", "of", "patients", "taking", "base", "drug", "type", "who", "have", "procedure", "icd9", "code", "3799", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "PROCEDURES.\"ICD9_CODE\"", "=", "\"3799\"", "AND", "PRESCRIPTIONS.\"DRUG_TYPE\"", "=", "\"BASE\""]}
{"key": "77be3d70a02c76e2bebbef9eb5e2ea02", "format": {"table": [0, 2, 3], "cond": [[2, 2, 0, 3533], [3, 6, 0, "NEB"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients whose procedure icd9 code is 3533 had the drug route neb?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE PROCEDURES.\"ICD9_CODE\" = \"3533\" AND PRESCRIPTIONS.\"ROUTE\" = \"NEB\"", "question_refine_tok": ["how", "many", "patients", "whose", "procedure", "icd9", "code", "is", "3533", "had", "the", "drug", "route", "neb", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "PROCEDURES.\"ICD9_CODE\"", "=", "\"3533\"", "AND", "PRESCRIPTIONS.\"ROUTE\"", "=", "\"NEB\""]}
{"key": "da99d0449176abe1af9bea00acd4c93f", "format": {"table": [0, 2, 3], "cond": [[2, 2, 0, 8105], [3, 6, 0, "REPLACE"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "provide the number of patient with replaced route of drug administration who have procedure icd9 code 8105. ", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE PROCEDURES.\"ICD9_CODE\" = \"8105\" AND PRESCRIPTIONS.\"ROUTE\" = \"REPLACE\"", "question_refine_tok": ["provide", "the", "number", "of", "patient", "with", "replaced", "route", "of", "drug", "administration", "who", "have", "procedure", "icd9", "code", "8105", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "PROCEDURES.\"ICD9_CODE\"", "=", "\"8105\"", "AND", "PRESCRIPTIONS.\"ROUTE\"", "=", "\"REPLACE\""]}
{"key": "3d90ca536d2df8ee828215ea6babab30", "format": {"table": [0, 2, 4], "cond": [[2, 4, 0, "Closed biopsy of skin and subcutaneous tissue"], [4, 7, 0, "Cerebrospinal Fluid (CSF)"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "give the number of patients whose procedure long title is closed biopsy of skin and subcutaneous tissue and lab test fluid is cerebrospinal fluid (csf).", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE PROCEDURES.\"LONG_TITLE\" = \"Closed biopsy of skin and subcutaneous tissue\" AND LAB.\"FLUID\" = \"Cerebrospinal Fluid (CSF)\"", "question_refine_tok": ["give", "the", "number", "of", "patients", "whose", "procedure", "long", "title", "is", "closed", "biopsy", "of", "skin", "and", "subcutaneous", "tissue", "and", "lab", "test", "fluid", "is", "cerebrospinal", "fluid", "(", "csf", ")", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "PROCEDURES.\"LONG_TITLE\"", "=", "\"Closed", "biopsy", "of", "skin", "and", "subcutaneous", "tissue\"", "AND", "LAB.\"FLUID\"", "=", "\"Cerebrospinal", "Fluid", "(CSF)\""]}
{"key": "80de77735536a9b08f1c40e9b11d0142", "format": {"table": [0, 2, 4], "cond": [[2, 4, 0, "Creation of conduit between left ventricle and aorta"], [4, 7, 0, "Pleural"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many of the patients with creation of conduit between left ventricle and aorta had a lab test for pleural fluid?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE PROCEDURES.\"LONG_TITLE\" = \"Creation of conduit between left ventricle and aorta\" AND LAB.\"FLUID\" = \"Pleural\"", "question_refine_tok": ["how", "many", "of", "the", "patients", "with", "creation", "of", "conduit", "between", "left", "ventricle", "and", "aorta", "had", "a", "lab", "test", "for", "pleural", "fluid", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "PROCEDURES.\"LONG_TITLE\"", "=", "\"Creation", "of", "conduit", "between", "left", "ventricle", "and", "aorta\"", "AND", "LAB.\"FLUID\"", "=", "\"Pleural\""]}
{"key": "003af473649d8b45f018a96b23553515", "format": {"table": [0, 2, 4], "cond": [[2, 4, 0, "Intraoperative cardiac pacemaker"], [4, 8, 0, "Hematology"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients under hematology lab test category have intraoperative cardiac pacemaker?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE PROCEDURES.\"LONG_TITLE\" = \"Intraoperative cardiac pacemaker\" AND LAB.\"CATEGORY\" = \"Hematology\"", "question_refine_tok": ["how", "many", "patients", "under", "hematology", "lab", "test", "category", "have", "intraoperative", "cardiac", "pacemaker", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "PROCEDURES.\"LONG_TITLE\"", "=", "\"Intraoperative", "cardiac", "pacemaker\"", "AND", "LAB.\"CATEGORY\"", "=", "\"Hematology\""]}
{"key": "ffcd18a5c74a898e2380d1ed0397ab98", "format": {"table": [0, 3, 4], "cond": [[3, 5, 0, "TERAZ5"], [4, 7, 0, "Urine"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "get the number of patients with drug code teraz5 who had urine lab test.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE PRESCRIPTIONS.\"FORMULARY_DRUG_CD\" = \"TERAZ5\" AND LAB.\"FLUID\" = \"Urine\"", "question_refine_tok": ["get", "the", "number", "of", "patients", "with", "drug", "code", "teraz5", "who", "had", "urine", "lab", "test", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "PRESCRIPTIONS.\"FORMULARY_DRUG_CD\"", "=", "\"TERAZ5\"", "AND", "LAB.\"FLUID\"", "=", "\"Urine\""]}
{"key": "0309c95431907c871ade520a4cc64ed0", "format": {"table": [0, 3, 4], "cond": [[3, 5, 0, "RIS1L"], [4, 7, 0, "Pleural"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "let me know the number of patients with drug code ris1l for whom pleural fluid lab test order was placed.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE PRESCRIPTIONS.\"FORMULARY_DRUG_CD\" = \"RIS1L\" AND LAB.\"FLUID\" = \"Pleural\"", "question_refine_tok": ["let", "me", "know", "the", "number", "of", "patients", "with", "drug", "code", "ris1l", "for", "whom", "pleural", "fluid", "lab", "test", "order", "was", "placed", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "PRESCRIPTIONS.\"FORMULARY_DRUG_CD\"", "=", "\"RIS1L\"", "AND", "LAB.\"FLUID\"", "=", "\"Pleural\""]}
{"key": "a7b019a738ce8ed884df23087141fb96", "format": {"table": [0, 3, 4], "cond": [[3, 5, 0, "METH10SY"], [4, 7, 0, "Cerebrospinal Fluid (CSF)"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many of the patients treated with meth10sy had a lab test for cerebrospinal fluid (csf)?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE PRESCRIPTIONS.\"FORMULARY_DRUG_CD\" = \"METH10SY\" AND LAB.\"FLUID\" = \"Cerebrospinal Fluid (CSF)\"", "question_refine_tok": ["how", "many", "of", "the", "patients", "treated", "with", "meth10sy", "had", "a", "lab", "test", "for", "cerebrospinal", "fluid", "(", "csf", ")", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "PRESCRIPTIONS.\"FORMULARY_DRUG_CD\"", "=", "\"METH10SY\"", "AND", "LAB.\"FLUID\"", "=", "\"Cerebrospinal", "Fluid", "(CSF)\""]}
{"key": "4556aab4493c76026ea798722a6bc42c", "format": {"table": [0, 3, 4], "cond": [[3, 5, 0, "WARF2"], [4, 7, 0, "Other Body Fluid"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of patients with drug code warf2 who were tested for other body fluids in the fluid lab test?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE PRESCRIPTIONS.\"FORMULARY_DRUG_CD\" = \"WARF2\" AND LAB.\"FLUID\" = \"Other Body Fluid\"", "question_refine_tok": ["what", "is", "the", "number", "of", "patients", "with", "drug", "code", "warf2", "who", "were", "tested", "for", "other", "body", "fluids", "in", "the", "fluid", "lab", "test", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "PRESCRIPTIONS.\"FORMULARY_DRUG_CD\"", "=", "\"WARF2\"", "AND", "LAB.\"FLUID\"", "=", "\"Other", "Body", "Fluid\""]}
{"key": "b3e5b67995558b9b9c0bf6c7638e043c", "format": {"table": [0, 3, 4], "cond": [[3, 5, 0, "WARF1"], [4, 7, 0, "Pleural"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "provide the number of patients whose drug code is warf1 and lab test fluid is pleural.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE PRESCRIPTIONS.\"FORMULARY_DRUG_CD\" = \"WARF1\" AND LAB.\"FLUID\" = \"Pleural\"", "question_refine_tok": ["provide", "the", "number", "of", "patients", "whose", "drug", "code", "is", "warf1", "and", "lab", "test", "fluid", "is", "pleural", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "PRESCRIPTIONS.\"FORMULARY_DRUG_CD\"", "=", "\"WARF1\"", "AND", "LAB.\"FLUID\"", "=", "\"Pleural\""]}
{"key": "30c70683e1b35c9ca6e7f9cbebae1036", "format": {"table": [0, 3, 4], "cond": [[3, 5, 0, "LANS30ST"], [4, 7, 0, "Cerebrospinal Fluid (CSF)"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients with the drug code lans30st had the lab test fluid cerebrospinal fluid (csf)?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE PRESCRIPTIONS.\"FORMULARY_DRUG_CD\" = \"LANS30ST\" AND LAB.\"FLUID\" = \"Cerebrospinal Fluid (CSF)\"", "question_refine_tok": ["how", "many", "patients", "with", "the", "drug", "code", "lans30st", "had", "the", "lab", "test", "fluid", "cerebrospinal", "fluid", "(", "csf", ")", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "PRESCRIPTIONS.\"FORMULARY_DRUG_CD\"", "=", "\"LANS30ST\"", "AND", "LAB.\"FLUID\"", "=", "\"Cerebrospinal", "Fluid", "(CSF)\""]}
{"key": "9042acc16c5783c2894af1c5d4794597", "format": {"table": [0, 3, 4], "cond": [[3, 5, 0, "NEOLEVO5"], [4, 7, 0, "Cerebrospinal Fluid (CSF)"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients with drug code neolevo5 had csf lab test done?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE PRESCRIPTIONS.\"FORMULARY_DRUG_CD\" = \"NEOLEVO5\" AND LAB.\"FLUID\" = \"Cerebrospinal Fluid (CSF)\"", "question_refine_tok": ["how", "many", "patients", "with", "drug", "code", "neolevo5", "had", "csf", "lab", "test", "done", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "PRESCRIPTIONS.\"FORMULARY_DRUG_CD\"", "=", "\"NEOLEVO5\"", "AND", "LAB.\"FLUID\"", "=", "\"Cerebrospinal", "Fluid", "(CSF)\""]}
{"key": "d450ae961aa14c9919685a6d2dbc3377", "format": {"table": [0, 3, 4], "cond": [[3, 5, 0, "LIDO2/5J"], [4, 7, 0, "Cerebrospinal Fluid (CSF)"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many of the patients treated with drug lido2/5j had a lab test for cerebrospinal fluid (csf)?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE PRESCRIPTIONS.\"FORMULARY_DRUG_CD\" = \"LIDO2/5J\" AND LAB.\"FLUID\" = \"Cerebrospinal Fluid (CSF)\"", "question_refine_tok": ["how", "many", "of", "the", "patients", "treated", "with", "drug", "lido2/5j", "had", "a", "lab", "test", "for", "cerebrospinal", "fluid", "(", "csf", ")", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "PRESCRIPTIONS.\"FORMULARY_DRUG_CD\"", "=", "\"LIDO2/5J\"", "AND", "LAB.\"FLUID\"", "=", "\"Cerebrospinal", "Fluid", "(CSF)\""]}
{"key": "09d9174613b832d6f0d07b37e7417b2b", "format": {"table": [0, 3, 4], "cond": [[3, 5, 0, "HEPAPREMIX"], [4, 7, 0, "Ascites"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "provide the number of patients whose drug code is hepapremix and lab test fluid is ascites.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE PRESCRIPTIONS.\"FORMULARY_DRUG_CD\" = \"HEPAPREMIX\" AND LAB.\"FLUID\" = \"Ascites\"", "question_refine_tok": ["provide", "the", "number", "of", "patients", "whose", "drug", "code", "is", "hepapremix", "and", "lab", "test", "fluid", "is", "ascites", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "PRESCRIPTIONS.\"FORMULARY_DRUG_CD\"", "=", "\"HEPAPREMIX\"", "AND", "LAB.\"FLUID\"", "=", "\"Ascites\""]}
{"key": "ceabaef98a0c091f47d53afec16e82d0", "format": {"table": [0, 3, 4], "cond": [[3, 5, 0, "DAPT500I"], [4, 7, 0, "Ascites"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "find the number of patients whose drug code is dapt500i and lab test fluid is ascites.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE PRESCRIPTIONS.\"FORMULARY_DRUG_CD\" = \"DAPT500I\" AND LAB.\"FLUID\" = \"Ascites\"", "question_refine_tok": ["find", "the", "number", "of", "patients", "whose", "drug", "code", "is", "dapt500i", "and", "lab", "test", "fluid", "is", "ascites", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "PRESCRIPTIONS.\"FORMULARY_DRUG_CD\"", "=", "\"DAPT500I\"", "AND", "LAB.\"FLUID\"", "=", "\"Ascites\""]}
{"key": "6d1eaa3f8947eb643cc5ed12fb4be508", "format": {"table": [0, 4], "cond": [[4, 2, 0, 51213], [4, 4, 0, "delta"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients with lab test item id 51213 have their lab test abnormal as delta?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE LAB.\"ITEMID\" = \"51213\" AND LAB.\"FLAG\" = \"delta\"", "question_refine_tok": ["how", "many", "patients", "with", "lab", "test", "item", "i", "d", "51213", "have", "their", "lab", "test", "abnormal", "as", "delta", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "LAB.\"ITEMID\"", "=", "\"51213\"", "AND", "LAB.\"FLAG\"", "=", "\"delta\""]}
{"key": "833dfa2f7df5a10b714580af71c03815", "format": {"table": [0, 4], "cond": [[4, 2, 0, 50803], [4, 4, 0, "delta"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "provide the number of patients with lab test item id 50803 and delta lab test abnormal status.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE LAB.\"ITEMID\" = \"50803\" AND LAB.\"FLAG\" = \"delta\"", "question_refine_tok": ["provide", "the", "number", "of", "patients", "with", "lab", "test", "item", "i", "d", "50803", "and", "delta", "lab", "test", "abnormal", "status", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "LAB.\"ITEMID\"", "=", "\"50803\"", "AND", "LAB.\"FLAG\"", "=", "\"delta\""]}
{"key": "fd956c6060e9dd63d0db99e8c2a5528c", "format": {"table": [0, 4], "cond": [[4, 2, 0, 50804], [4, 4, 0, "abnormal"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients with item id 50804 had abnormal lab test status", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE LAB.\"ITEMID\" = \"50804\" AND LAB.\"FLAG\" = \"abnormal\"", "question_refine_tok": ["how", "many", "patients", "with", "item", "i", "d", "50804", "had", "abnormal", "lab", "test", "status"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "LAB.\"ITEMID\"", "=", "\"50804\"", "AND", "LAB.\"FLAG\"", "=", "\"abnormal\""]}
{"key": "b3d9210b6e57073e3d914f2b973fe0fa", "format": {"table": [0, 4], "cond": [[4, 4, 0, "abnormal"], [4, 6, 0, "Triiodothyronine (T3)"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of patients whose lab test abnormal status is abnormal and lab test name is triiodothyronine (t3).", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE LAB.\"FLAG\" = \"abnormal\" AND LAB.\"LABEL\" = \"Triiodothyronine (T3)\"", "question_refine_tok": ["count", "the", "number", "of", "patients", "whose", "lab", "test", "abnormal", "status", "is", "abnormal", "and", "lab", "test", "name", "is", "triiodothyronine", "(", "t3", ")", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "LAB.\"FLAG\"", "=", "\"abnormal\"", "AND", "LAB.\"LABEL\"", "=", "\"Triiodothyronine", "(T3)\""]}
{"key": "4ff477ccdc11dd4c60bedc8ee2106316", "format": {"table": [0, 4], "cond": [[4, 4, 0, "abnormal"], [4, 6, 0, "Phenytoin"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of patients with abnormal lab test status who had phenytoin lab test.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE LAB.\"FLAG\" = \"abnormal\" AND LAB.\"LABEL\" = \"Phenytoin\"", "question_refine_tok": ["count", "the", "number", "of", "patients", "with", "abnormal", "lab", "test", "status", "who", "had", "phenytoin", "lab", "test", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "LAB.\"FLAG\"", "=", "\"abnormal\"", "AND", "LAB.\"LABEL\"", "=", "\"Phenytoin\""]}
{"key": "5e21212c409942fec38438436f90375d", "format": {"table": [0, 4], "cond": [[4, 4, 0, "abnormal"], [4, 6, 0, "Troponin I"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of patients whose lab test status was abnormal and had got tropnin i lab test done..", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE LAB.\"FLAG\" = \"abnormal\" AND LAB.\"LABEL\" = \"Troponin I\"", "question_refine_tok": ["count", "the", "number", "of", "patients", "whose", "lab", "test", "status", "was", "abnormal", "and", "had", "got", "tropnin", "i", "lab", "test", "done", ".."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "LAB.\"FLAG\"", "=", "\"abnormal\"", "AND", "LAB.\"LABEL\"", "=", "\"Troponin", "I\""]}
{"key": "68e9a8742cd050fa56107736ba3b6e2d", "format": {"table": [0, 4], "cond": [[4, 4, 0, "abnormal"], [4, 6, 0, "Potassium, Urine"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "provide the number of patients whose lab test name is potassium, urine and lab test result is abnormal.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE LAB.\"FLAG\" = \"abnormal\" AND LAB.\"LABEL\" = \"Potassium, Urine\"", "question_refine_tok": ["provide", "the", "number", "of", "patients", "whose", "lab", "test", "name", "is", "potassium", ",", "urine", "and", "lab", "test", "result", "is", "abnormal", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "LAB.\"FLAG\"", "=", "\"abnormal\"", "AND", "LAB.\"LABEL\"", "=", "\"Potassium,", "Urine\""]}
{"key": "5794e2fc7f9f1fb9762d7f94c4006f89", "format": {"table": [0, 4], "cond": [[4, 4, 0, "abnormal"], [4, 6, 0, "Gentamicin"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of patients whose lab test abnormal status is abnormal and lab test name is gentamicin.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE LAB.\"FLAG\" = \"abnormal\" AND LAB.\"LABEL\" = \"Gentamicin\"", "question_refine_tok": ["count", "the", "number", "of", "patients", "whose", "lab", "test", "abnormal", "status", "is", "abnormal", "and", "lab", "test", "name", "is", "gentamicin", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "LAB.\"FLAG\"", "=", "\"abnormal\"", "AND", "LAB.\"LABEL\"", "=", "\"Gentamicin\""]}
{"key": "b128fdcc6531026127aed0ba15b521bb", "format": {"table": [0, 4], "cond": [[4, 4, 0, "delta"], [4, 6, 0, "C-Reactive Protein"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of patients whose lab test abnormal status is delta and lab test name is c-reactive protein.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE LAB.\"FLAG\" = \"delta\" AND LAB.\"LABEL\" = \"C-Reactive Protein\"", "question_refine_tok": ["count", "the", "number", "of", "patients", "whose", "lab", "test", "abnormal", "status", "is", "delta", "and", "lab", "test", "name", "is", "c", "-", "reactive", "protein", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "LAB.\"FLAG\"", "=", "\"delta\"", "AND", "LAB.\"LABEL\"", "=", "\"C-Reactive", "Protein\""]}
{"key": "2c34bb2817b09c6083d6771fe2b279ee", "format": {"table": [0], "cond": [[0, 0, 0, 2560]], "agg_col": [[0, 7]], "sel": 0}, "question_refine": "find the language of subject id 2560.", "sql": "SELECT DEMOGRAPHIC.\"LANGUAGE\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"2560\"", "question_refine_tok": ["find", "the", "language", "of", "subject", "i", "d", "2560", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"LANGUAGE\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"2560\""]}
{"key": "33fdbe86f189f7beec72a31c1739d572", "format": {"table": [0], "cond": [[0, 0, 0, 2560]], "agg_col": [[0, 10]], "sel": 0}, "question_refine": "for patient id 2560, calculate the duration of hospital stay. ", "sql": "SELECT DEMOGRAPHIC.\"DAYS_STAY\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"2560\"", "question_refine_tok": ["for", "patient", "i", "d", "2560", ",", "calculate", "the", "duration", "of", "hospital", "stay", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DAYS_STAY\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"2560\""]}
{"key": "5855238b0d0f64c0f8c93600ec7b1401", "format": {"table": [2], "cond": [[2, 0, 0, 2560]], "agg_col": [[2, 2]], "sel": 0}, "question_refine": "specify icd9 code for patient id 2560", "sql": "SELECT PROCEDURES.\"ICD9_CODE\" FROM PROCEDURES WHERE PROCEDURES.\"SUBJECT_ID\" = \"2560\"", "question_refine_tok": ["specify", "icd9", "code", "for", "patient", "i", "d", "2560"], "sql_tok": ["SELECT", "PROCEDURES.\"ICD9_CODE\"", "FROM", "PROCEDURES", "WHERE", "PROCEDURES.\"SUBJECT_ID\"", "=", "\"2560\""]}
{"key": "61541b8ed7346a1ce9e4477e3390fe7b", "format": {"table": [0], "cond": [[0, 0, 0, 2560]], "agg_col": [[0, 3], [0, 8]], "sel": 0}, "question_refine": "find out the marital status and religious background of patient with patient id 2560.", "sql": "SELECT DEMOGRAPHIC.\"MARITAL_STATUS\",DEMOGRAPHIC.\"RELIGION\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"2560\"", "question_refine_tok": ["find", "out", "the", "marital", "status", "and", "religious", "background", "of", "patient", "with", "patient", "i", "d", "2560", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"MARITAL_STATUS\",DEMOGRAPHIC.\"RELIGION\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"2560\""]}
{"key": "1bf20c5f3deff96197f8891b74ec78a6", "format": {"table": [0], "cond": [[0, 0, 0, 2560]], "agg_col": [[0, 4], [0, 11]], "sel": 0}, "question_refine": "what is the age and insurance of patient id 2560?", "sql": "SELECT DEMOGRAPHIC.\"AGE\",DEMOGRAPHIC.\"INSURANCE\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"2560\"", "question_refine_tok": ["what", "is", "the", "age", "and", "insurance", "of", "patient", "i", "d", "2560", "?"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"AGE\",DEMOGRAPHIC.\"INSURANCE\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"2560\""]}
{"key": "52d819c22300f2023f8e73b63793a79e", "format": {"table": [0], "cond": [[0, 0, 0, 2560]], "agg_col": [[0, 9], [0, 14]], "sel": 0}, "question_refine": "for patient id 2560, specify the type and location of admission ", "sql": "SELECT DEMOGRAPHIC.\"ADMISSION_TYPE\",DEMOGRAPHIC.\"ADMISSION_LOCATION\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"2560\"", "question_refine_tok": ["for", "patient", "i", "d", "2560", ",", "specify", "the", "type", "and", "location", "of", "admission"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"ADMISSION_TYPE\",DEMOGRAPHIC.\"ADMISSION_LOCATION\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"2560\""]}
{"key": "a175b2a40cbb96dac957efa26f32616e", "format": {"table": [0], "cond": [[0, 0, 0, 2560]], "agg_col": [[0, 9], [0, 15]], "sel": 0}, "question_refine": "specify admission type of patient id 2560 along-with the location he was discharged to", "sql": "SELECT DEMOGRAPHIC.\"ADMISSION_TYPE\",DEMOGRAPHIC.\"DISCHARGE_LOCATION\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"2560\"", "question_refine_tok": ["specify", "admission", "type", "of", "patient", "i", "d", "2560", "along", "-", "with", "the", "location", "he", "was", "discharged", "to"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"ADMISSION_TYPE\",DEMOGRAPHIC.\"DISCHARGE_LOCATION\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"2560\""]}
{"key": "b291dceeb04cf5075f057c9437bacfeb", "format": {"table": [0], "cond": [[0, 0, 0, 2560]], "agg_col": [[0, 9], [0, 20]], "sel": 0}, "question_refine": "look up for the admission type and admission time of subject id 2560 .", "sql": "SELECT DEMOGRAPHIC.\"ADMISSION_TYPE\",DEMOGRAPHIC.\"ADMITTIME\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"2560\"", "question_refine_tok": ["look", "up", "for", "the", "admission", "type", "and", "admission", "time", "of", "subject", "i", "d", "2560", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"ADMISSION_TYPE\",DEMOGRAPHIC.\"ADMITTIME\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"2560\""]}
{"key": "df4a8d3c58930e54b3de6c4c809f1360", "format": {"table": [0, 4], "cond": [[0, 0, 0, 2560]], "agg_col": [[0, 9], [4, 2]], "sel": 0}, "question_refine": "what is the admission type and lab item id of patient id 2560?", "sql": "SELECT DEMOGRAPHIC.\"ADMISSION_TYPE\",LAB.\"ITEMID\" FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"2560\"", "question_refine_tok": ["what", "is", "the", "admission", "type", "and", "lab", "item", "i", "d", "of", "patient", "i", "d", "2560", "?"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"ADMISSION_TYPE\",LAB.\"ITEMID\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"2560\""]}
{"key": "4544005c5763578d01c1355b154daf4f", "format": {"table": [0, 4], "cond": [[0, 0, 0, 2560]], "agg_col": [[0, 9], [4, 4]], "sel": 0}, "question_refine": "for patient id 2560, specify the admission type and lab test abnormal status", "sql": "SELECT DEMOGRAPHIC.\"ADMISSION_TYPE\",LAB.\"FLAG\" FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"2560\"", "question_refine_tok": ["for", "patient", "i", "d", "2560", ",", "specify", "the", "admission", "type", "and", "lab", "test", "abnormal", "status"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"ADMISSION_TYPE\",LAB.\"FLAG\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"2560\""]}
{"key": "23aed6056b0cef65c044c4f697d68125", "format": {"table": [0], "cond": [[0, 0, 0, 2560]], "agg_col": [[0, 14], [0, 15]], "sel": 0}, "question_refine": "what is the admission location and discharge location of patient id 2560?", "sql": "SELECT DEMOGRAPHIC.\"ADMISSION_LOCATION\",DEMOGRAPHIC.\"DISCHARGE_LOCATION\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"2560\"", "question_refine_tok": ["what", "is", "the", "admission", "location", "and", "discharge", "location", "of", "patient", "i", "d", "2560", "?"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"ADMISSION_LOCATION\",DEMOGRAPHIC.\"DISCHARGE_LOCATION\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"2560\""]}
{"key": "a229f6dbbb2fddd91ed6d6577baa85fd", "format": {"table": [0, 2], "cond": [[0, 0, 0, 2560]], "agg_col": [[0, 14], [2, 4]], "sel": 0}, "question_refine": "what is the admission location and procedure long title of subject id 2560?", "sql": "SELECT DEMOGRAPHIC.\"ADMISSION_LOCATION\",PROCEDURES.\"LONG_TITLE\" FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"2560\"", "question_refine_tok": ["what", "is", "the", "admission", "location", "and", "procedure", "long", "title", "of", "subject", "i", "d", "2560", "?"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"ADMISSION_LOCATION\",PROCEDURES.\"LONG_TITLE\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"2560\""]}
{"key": "daa3bfe7cdc270244f8d75365230e0cd", "format": {"table": [0], "cond": [[0, 0, 0, 2560]], "agg_col": [[0, 16], [0, 21]], "sel": 0}, "question_refine": "tell me the primary disease and time of discharge for patient with patient id 2560.", "sql": "SELECT DEMOGRAPHIC.\"DIAGNOSIS\",DEMOGRAPHIC.\"DISCHTIME\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"2560\"", "question_refine_tok": ["tell", "me", "the", "primary", "disease", "and", "time", "of", "discharge", "for", "patient", "with", "patient", "i", "d", "2560", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DIAGNOSIS\",DEMOGRAPHIC.\"DISCHTIME\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"2560\""]}
{"key": "211a52ae1160bd1933f63bcb260368ae", "format": {"table": [0, 4], "cond": [[0, 0, 0, 2560]], "agg_col": [[0, 16], [4, 2]], "sel": 0}, "question_refine": "find the primary disease and lab test item id of subject id 2560.", "sql": "SELECT DEMOGRAPHIC.\"DIAGNOSIS\",LAB.\"ITEMID\" FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"2560\"", "question_refine_tok": ["find", "the", "primary", "disease", "and", "lab", "test", "item", "i", "d", "of", "subject", "i", "d", "2560", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DIAGNOSIS\",LAB.\"ITEMID\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"2560\""]}
{"key": "354bbddc04df8ad181dacd354b65a46b", "format": {"table": [0, 1], "cond": [[0, 0, 0, 2560]], "agg_col": [[0, 20], [1, 4]], "sel": 0}, "question_refine": "what is the admission time and diagnosis long title for the patient id 2560?", "sql": "SELECT DEMOGRAPHIC.\"ADMITTIME\",DIAGNOSES.\"LONG_TITLE\" FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"2560\"", "question_refine_tok": ["what", "is", "the", "admission", "time", "and", "diagnosis", "long", "title", "for", "the", "patient", "i", "d", "2560", "?"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"ADMITTIME\",DIAGNOSES.\"LONG_TITLE\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"2560\""]}
{"key": "b270504417c3cc43a85069b2003504c3", "format": {"table": [0, 2], "cond": [[0, 0, 0, 2560]], "agg_col": [[0, 20], [2, 2]], "sel": 0}, "question_refine": "get the admission time and procedure icd9 code for patient with patient id 2560.", "sql": "SELECT DEMOGRAPHIC.\"ADMITTIME\",PROCEDURES.\"ICD9_CODE\" FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"2560\"", "question_refine_tok": ["get", "the", "admission", "time", "and", "procedure", "icd9", "code", "for", "patient", "with", "patient", "i", "d", "2560", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"ADMITTIME\",PROCEDURES.\"ICD9_CODE\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"2560\""]}
{"key": "7ef3e82ad89166a904a377e47f6bc1c5", "format": {"table": [0], "cond": [[0, 0, 0, 6983]], "agg_col": [[0, 12]], "sel": 0}, "question_refine": "which ethnic background does the patient with patient id 6983 belong to?", "sql": "SELECT DEMOGRAPHIC.\"ETHNICITY\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"6983\"", "question_refine_tok": ["which", "ethnic", "background", "does", "the", "patient", "with", "patient", "i", "d", "6983", "belong", "to", "?"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"ETHNICITY\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"6983\""]}
{"key": "cda62e026bd5c2da8b7e310acef00b6e", "format": {"table": [0], "cond": [[0, 0, 0, 6983]], "agg_col": [[0, 20]], "sel": 0}, "question_refine": "at what time was the patient with patient id 6983 admitted in hospital?", "sql": "SELECT DEMOGRAPHIC.\"ADMITTIME\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"6983\"", "question_refine_tok": ["at", "what", "time", "was", "the", "patient", "with", "patient", "i", "d", "6983", "admitted", "in", "hospital", "?"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"ADMITTIME\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"6983\""]}
{"key": "40de803c6f2cfef7117d8aa03f2485fa", "format": {"table": [3], "cond": [[3, 0, 0, 6983]], "agg_col": [[3, 4]], "sel": 0}, "question_refine": "specify the drug name patient id 6983 is treated with?", "sql": "SELECT PRESCRIPTIONS.\"DRUG\" FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.\"SUBJECT_ID\" = \"6983\"", "question_refine_tok": ["specify", "the", "drug", "name", "patient", "i", "d", "6983", "is", "treated", "with", "?"], "sql_tok": ["SELECT", "PRESCRIPTIONS.\"DRUG\"", "FROM", "PRESCRIPTIONS", "WHERE", "PRESCRIPTIONS.\"SUBJECT_ID\"", "=", "\"6983\""]}
{"key": "55fc55851321ec4d3461847e8edee504", "format": {"table": [0], "cond": [[0, 0, 0, 3343]], "agg_col": [[0, 2]], "sel": 0}, "question_refine": "find the name of subject id 3343.", "sql": "SELECT DEMOGRAPHIC.\"NAME\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"3343\"", "question_refine_tok": ["find", "the", "name", "of", "subject", "i", "d", "3343", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"NAME\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"3343\""]}
{"key": "45985dc92187d06cd887c833ab4bafe6", "format": {"table": [1], "cond": [[1, 0, 0, 3343]], "agg_col": [[1, 3]], "sel": 0}, "question_refine": "descibe the diagnoses of subject id 3343.", "sql": "SELECT DIAGNOSES.\"SHORT_TITLE\" FROM DIAGNOSES WHERE DIAGNOSES.\"SUBJECT_ID\" = \"3343\"", "question_refine_tok": ["descibe", "the", "diagnoses", "of", "subject", "i", "d", "3343", "."], "sql_tok": ["SELECT", "DIAGNOSES.\"SHORT_TITLE\"", "FROM", "DIAGNOSES", "WHERE", "DIAGNOSES.\"SUBJECT_ID\"", "=", "\"3343\""]}
{"key": "cc136157244f65a9e106fe7c0a16e42c", "format": {"table": [0, 3], "cond": [[0, 2, 0, "Jerry Deberry"]], "agg_col": [[3, 2]], "sel": 0}, "question_refine": "find the icu stay id of jerry deberry.", "sql": "SELECT PRESCRIPTIONS.\"ICUSTAY_ID\" FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"NAME\" = \"Jerry Deberry\"", "question_refine_tok": ["find", "the", "icu", "stay", "i", "d", "of", "jerry", "deberry", "."], "sql_tok": ["SELECT", "PRESCRIPTIONS.\"ICUSTAY_ID\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Jerry", "Deberry\""]}
{"key": "b9232bb071f3387877c215a2193324ad", "format": {"table": [0], "cond": [[0, 2, 0, "Jerry Deberry"]], "agg_col": [[0, 3], [0, 10]], "sel": 0}, "question_refine": "find out the status of marriage and days for which patient jerry deberry stayed in hospital.", "sql": "SELECT DEMOGRAPHIC.\"MARITAL_STATUS\",DEMOGRAPHIC.\"DAYS_STAY\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"NAME\" = \"Jerry Deberry\"", "question_refine_tok": ["find", "out", "the", "status", "of", "marriage", "and", "days", "for", "which", "patient", "jerry", "deberry", "stayed", "in", "hospital", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"MARITAL_STATUS\",DEMOGRAPHIC.\"DAYS_STAY\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Jerry", "Deberry\""]}
{"key": "3b43172f39ac442eea889bba9caef99b", "format": {"table": [0], "cond": [[0, 2, 0, "Jerry Deberry"]], "agg_col": [[0, 4], [0, 8]], "sel": 0}, "question_refine": "find out the age and religion of patient jerry deberry.", "sql": "SELECT DEMOGRAPHIC.\"AGE\",DEMOGRAPHIC.\"RELIGION\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"NAME\" = \"Jerry Deberry\"", "question_refine_tok": ["find", "out", "the", "age", "and", "religion", "of", "patient", "jerry", "deberry", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"AGE\",DEMOGRAPHIC.\"RELIGION\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Jerry", "Deberry\""]}
{"key": "463cab7bca467c802dbb2b6ab16efe88", "format": {"table": [0], "cond": [[0, 2, 0, "Jerry Deberry"]], "agg_col": [[0, 5], [0, 14]], "sel": 0}, "question_refine": "specify the admission location of patient jerry deberry along-with birthdate", "sql": "SELECT DEMOGRAPHIC.\"DOB\",DEMOGRAPHIC.\"ADMISSION_LOCATION\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"NAME\" = \"Jerry Deberry\"", "question_refine_tok": ["specify", "the", "admission", "location", "of", "patient", "jerry", "deberry", "along", "-", "with", "birthdate"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DOB\",DEMOGRAPHIC.\"ADMISSION_LOCATION\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Jerry", "Deberry\""]}
{"key": "25a860de4db2ce74b231e9e25b16db5c", "format": {"table": [0], "cond": [[0, 2, 0, "Stephanie Suchan"]], "agg_col": [[0, 20]], "sel": 0}, "question_refine": "at what time was the patient stephanie suchan admitted in hospital?", "sql": "SELECT DEMOGRAPHIC.\"ADMITTIME\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"NAME\" = \"Stephanie Suchan\"", "question_refine_tok": ["at", "what", "time", "was", "the", "patient", "stephanie", "suchan", "admitted", "in", "hospital", "?"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"ADMITTIME\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Stephanie", "Suchan\""]}
{"key": "5d4d866be48304e39a1e61a8e42c63f4", "format": {"table": [0], "cond": [[0, 2, 0, "Paul Edwards"]], "agg_col": [[0, 8]], "sel": 0}, "question_refine": "give the religion of paul edwards.", "sql": "SELECT DEMOGRAPHIC.\"RELIGION\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"NAME\" = \"Paul Edwards\"", "question_refine_tok": ["give", "the", "religion", "of", "paul", "edwards", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"RELIGION\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Paul", "Edwards\""]}
{"key": "2da84811f71380bf55816dad013b6af9", "format": {"table": [0], "cond": [[0, 2, 0, "Paul Edwards"]], "agg_col": [[0, 21]], "sel": 0}, "question_refine": "at what time was the patient paul edwards discharged from hospital?", "sql": "SELECT DEMOGRAPHIC.\"DISCHTIME\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"NAME\" = \"Paul Edwards\"", "question_refine_tok": ["at", "what", "time", "was", "the", "patient", "paul", "edwards", "discharged", "from", "hospital", "?"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DISCHTIME\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Paul", "Edwards\""]}
{"key": "fa27405c1f4f11fcc7ce32cf8b07a08a", "format": {"table": [0, 2], "cond": [[0, 2, 0, "Paul Edwards"]], "agg_col": [[2, 2]], "sel": 0}, "question_refine": "find out the procedure icd9 code for patient paul edwards.", "sql": "SELECT PROCEDURES.\"ICD9_CODE\" FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"NAME\" = \"Paul Edwards\"", "question_refine_tok": ["find", "out", "the", "procedure", "icd9", "code", "for", "patient", "paul", "edwards", "."], "sql_tok": ["SELECT", "PROCEDURES.\"ICD9_CODE\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Paul", "Edwards\""]}
{"key": "fbc1f416f452ed6756be671389580cba", "format": {"table": [0], "cond": [[0, 2, 0, "Kelly Gallardo"]], "agg_col": [[0, 6]], "sel": 0}, "question_refine": "what is the gender of the patient name kelly gallardo?", "sql": "SELECT DEMOGRAPHIC.\"GENDER\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"NAME\" = \"Kelly Gallardo\"", "question_refine_tok": ["what", "is", "the", "gender", "of", "the", "patient", "name", "kelly", "gallardo", "?"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"GENDER\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Kelly", "Gallardo\""]}
{"key": "dbaf5aef2e3b903aa7f1dc1448fc78b8", "format": {"table": [0], "cond": [[0, 2, 0, "Kelly Gallardo"]], "agg_col": [[0, 7]], "sel": 0}, "question_refine": "what is the language of subject name kelly gallardo?", "sql": "SELECT DEMOGRAPHIC.\"LANGUAGE\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"NAME\" = \"Kelly Gallardo\"", "question_refine_tok": ["what", "is", "the", "language", "of", "subject", "name", "kelly", "gallardo", "?"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"LANGUAGE\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Kelly", "Gallardo\""]}
{"key": "dc9c60a149594d868c3ae5b2e0bbb51e", "format": {"table": [0], "cond": [[0, 2, 0, "Kelly Gallardo"]], "agg_col": [[0, 20]], "sel": 0}, "question_refine": "what is the admission time of the patient name kelly gallardo?", "sql": "SELECT DEMOGRAPHIC.\"ADMITTIME\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"NAME\" = \"Kelly Gallardo\"", "question_refine_tok": ["what", "is", "the", "admission", "time", "of", "the", "patient", "name", "kelly", "gallardo", "?"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"ADMITTIME\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Kelly", "Gallardo\""]}
{"key": "7d31cb260ea3b10e4f3e2d68014f7c2c", "format": {"table": [0], "cond": [[0, 11, 0, "Self Pay"]], "agg_col": [[0, 10]], "sel": 4}, "question_refine": "what is the average days of hospital stay for patients with self pay insurance?", "sql": "SELECT AVG ( DEMOGRAPHIC.\"DAYS_STAY\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"INSURANCE\" = \"Self Pay\"", "question_refine_tok": ["what", "is", "the", "average", "days", "of", "hospital", "stay", "for", "patients", "with", "self", "pay", "insurance", "?"], "sql_tok": ["SELECT", "AVG", "(", "DEMOGRAPHIC.\"DAYS_STAY\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"INSURANCE\"", "=", "\"Self", "Pay\""]}
{"key": "ad78051ce3017bc60d04837760eff560", "format": {"table": [0], "cond": [[0, 12, 0, "AMERICAN INDIAN/ALASKA NATIVE"]], "agg_col": [[0, 10]], "sel": 4}, "question_refine": "what is the average days of hospital stay of patients whose ethnicity is american indian/alaska native?", "sql": "SELECT AVG ( DEMOGRAPHIC.\"DAYS_STAY\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ETHNICITY\" = \"AMERICAN INDIAN/ALASKA NATIVE\"", "question_refine_tok": ["what", "is", "the", "average", "days", "of", "hospital", "stay", "of", "patients", "whose", "ethnicity", "is", "american", "indian", "/", "alaska", "native", "?"], "sql_tok": ["SELECT", "AVG", "(", "DEMOGRAPHIC.\"DAYS_STAY\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ETHNICITY\"", "=", "\"AMERICAN", "INDIAN/ALASKA", "NATIVE\""]}
{"key": "58802cc7408b6ab9520e7c15b7f7c21e", "format": {"table": [0], "cond": [[0, 12, 0, "HISPANIC/LATINO - PUERTO RICAN"]], "agg_col": [[0, 10]], "sel": 3}, "question_refine": "calculate the minimum days for which hispanic/latino-puerto rican patients were hospitalized.", "sql": "SELECT MIN ( DEMOGRAPHIC.\"DAYS_STAY\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ETHNICITY\" = \"HISPANIC/LATINO - PUERTO RICAN\"", "question_refine_tok": ["calculate", "the", "minimum", "days", "for", "which", "hispanic", "/", "latino", "-", "puerto", "rican", "patients", "were", "hospitalized", "."], "sql_tok": ["SELECT", "MIN", "(", "DEMOGRAPHIC.\"DAYS_STAY\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ETHNICITY\"", "=", "\"HISPANIC/LATINO", "-", "PUERTO", "RICAN\""]}
{"key": "3215ba33c96d4fd19e2c957ca35f61c9", "format": {"table": [0], "cond": [[0, 13, 0, 1]], "agg_col": [[0, 10]], "sel": 2}, "question_refine": "get the maximum days the patients with death status 1 stayed at the hospital.", "sql": "SELECT MAX ( DEMOGRAPHIC.\"DAYS_STAY\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"EXPIRE_FLAG\" = \"1\"", "question_refine_tok": ["get", "the", "maximum", "days", "the", "patients", "with", "death", "status", "1", "stayed", "at", "the", "hospital", "."], "sql_tok": ["SELECT", "MAX", "(", "DEMOGRAPHIC.\"DAYS_STAY\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"EXPIRE_FLAG\"", "=", "\"1\""]}
{"key": "bbb8f954814fd3835fe3a08d38d6566e", "format": {"table": [0], "cond": [[0, 16, 0, "GASTROINTESTINAL BLEED"]], "agg_col": [[0, 10]], "sel": 2}, "question_refine": "calculate the maximum days of hospitalization for patients  with gastrointestinal bleed primary disease.", "sql": "SELECT MAX ( DEMOGRAPHIC.\"DAYS_STAY\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"GASTROINTESTINAL BLEED\"", "question_refine_tok": ["calculate", "the", "maximum", "days", "of", "hospitalization", "for", "patients", " ", "with", "gastrointestinal", "bleed", "primary", "disease", "."], "sql_tok": ["SELECT", "MAX", "(", "DEMOGRAPHIC.\"DAYS_STAY\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"GASTROINTESTINAL", "BLEED\""]}
{"key": "c81fcc06334a2152326932721ecd6adf", "format": {"table": [0], "cond": [[0, 16, 0, "POSTERIOR COMMUNICATING ANEURYSM/SDA"]], "agg_col": [[0, 10]], "sel": 4}, "question_refine": "what is the average days of hospital stay for patients who are diagnosed with primary disease posterior communicating aneurysm/sda?", "sql": "SELECT AVG ( DEMOGRAPHIC.\"DAYS_STAY\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"POSTERIOR COMMUNICATING ANEURYSM/SDA\"", "question_refine_tok": ["what", "is", "the", "average", "days", "of", "hospital", "stay", "for", "patients", "who", "are", "diagnosed", "with", "primary", "disease", "posterior", "communicating", "aneurysm", "/", "sda", "?"], "sql_tok": ["SELECT", "AVG", "(", "DEMOGRAPHIC.\"DAYS_STAY\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"POSTERIOR", "COMMUNICATING", "ANEURYSM/SDA\""]}
{"key": "3335e6cfaf2d68ffafe24e54f4537751", "format": {"table": [0], "cond": [[0, 16, 0, "SQUAMOUS CELL CARCINOMA ORAL TONGUE/SDA"]], "agg_col": [[0, 10]], "sel": 2}, "question_refine": "find the maximum days of hospital stay for patients diagnosed with squamous cell carcinoma oral tongue/sda.", "sql": "SELECT MAX ( DEMOGRAPHIC.\"DAYS_STAY\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"SQUAMOUS CELL CARCINOMA ORAL TONGUE/SDA\"", "question_refine_tok": ["find", "the", "maximum", "days", "of", "hospital", "stay", "for", "patients", "diagnosed", "with", "squamous", "cell", "carcinoma", "oral", "tongue", "/", "sda", "."], "sql_tok": ["SELECT", "MAX", "(", "DEMOGRAPHIC.\"DAYS_STAY\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"SQUAMOUS", "CELL", "CARCINOMA", "ORAL", "TONGUE/SDA\""]}
{"key": "f0562253946ba21905d08250e513d530", "format": {"table": [0], "cond": [[0, 16, 0, "STEMI"]], "agg_col": [[0, 10]], "sel": 2}, "question_refine": "find the maximum days of hospital stay for patients primarily diagnosed with stemi.", "sql": "SELECT MAX ( DEMOGRAPHIC.\"DAYS_STAY\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"STEMI\"", "question_refine_tok": ["find", "the", "maximum", "days", "of", "hospital", "stay", "for", "patients", "primarily", "diagnosed", "with", "stemi", "."], "sql_tok": ["SELECT", "MAX", "(", "DEMOGRAPHIC.\"DAYS_STAY\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"STEMI\""]}
{"key": "3fb471cb086a0f9d76c8133119e95a9b", "format": {"table": [0], "cond": [[0, 4, 3, 64]], "agg_col": [[0, 10]], "sel": 2}, "question_refine": "count the maximum days of hospital stay for patients aged 64 and above .", "sql": "SELECT MAX ( DEMOGRAPHIC.\"DAYS_STAY\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"AGE\" >= \"64\"", "question_refine_tok": ["count", "the", "maximum", "days", "of", "hospital", "stay", "for", "patients", "aged", "64", "and", "above", "."], "sql_tok": ["SELECT", "MAX", "(", "DEMOGRAPHIC.\"DAYS_STAY\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"AGE\"", ">=", "\"64\""]}
{"key": "ea4e2db7d8a6b8d826858915488585d9", "format": {"table": [0], "cond": [[0, 18, 1, 2049]], "agg_col": [[0, 10]], "sel": 2}, "question_refine": "calculate the maximum days for which patients born after 2049 were admitted in hospital.", "sql": "SELECT MAX ( DEMOGRAPHIC.\"DAYS_STAY\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DOB_YEAR\" > \"2049\"", "question_refine_tok": ["calculate", "the", "maximum", "days", "for", "which", "patients", "born", "after", "2049", "were", "admitted", "in", "hospital", "."], "sql_tok": ["SELECT", "MAX", "(", "DEMOGRAPHIC.\"DAYS_STAY\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DOB_YEAR\"", ">", "\"2049\""]}
{"key": "35bca2fd8158a5bcabaf5b815e9dd7a3", "format": {"table": [0], "cond": [[0, 18, 1, 2053]], "agg_col": [[0, 10]], "sel": 2}, "question_refine": "give the maximum days of hospital stay for patients who are born after 2053.", "sql": "SELECT MAX ( DEMOGRAPHIC.\"DAYS_STAY\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DOB_YEAR\" > \"2053\"", "question_refine_tok": ["give", "the", "maximum", "days", "of", "hospital", "stay", "for", "patients", "who", "are", "born", "after", "2053", "."], "sql_tok": ["SELECT", "MAX", "(", "DEMOGRAPHIC.\"DAYS_STAY\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DOB_YEAR\"", ">", "\"2053\""]}
{"key": "ed9b3e3576eec94ca7d8899cd74a028b", "format": {"table": [0], "cond": [[0, 18, 1, 2058]], "agg_col": [[0, 10]], "sel": 3}, "question_refine": "calculate the minimum days for which patients born after 2058 were hospitalized.", "sql": "SELECT MIN ( DEMOGRAPHIC.\"DAYS_STAY\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DOB_YEAR\" > \"2058\"", "question_refine_tok": ["calculate", "the", "minimum", "days", "for", "which", "patients", "born", "after", "2058", "were", "hospitalized", "."], "sql_tok": ["SELECT", "MIN", "(", "DEMOGRAPHIC.\"DAYS_STAY\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DOB_YEAR\"", ">", "\"2058\""]}
{"key": "760a85626f1a9d9d1b9ba79e43c1ec58", "format": {"table": [0], "cond": [[0, 22, 3, 2178]], "agg_col": [[0, 10]], "sel": 4}, "question_refine": "calculate the average duration of hospital stay for patients who were admitted in or after 2178.", "sql": "SELECT AVG ( DEMOGRAPHIC.\"DAYS_STAY\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ADMITYEAR\" >= \"2178\"", "question_refine_tok": ["calculate", "the", "average", "duration", "of", "hospital", "stay", "for", "patients", "who", "were", "admitted", "in", "or", "after", "2178", "."], "sql_tok": ["SELECT", "AVG", "(", "DEMOGRAPHIC.\"DAYS_STAY\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ADMITYEAR\"", ">=", "\"2178\""]}
{"key": "58f94eac8cc1f0b41ea76892fa90f737", "format": {"table": [0], "cond": [[0, 22, 3, 2182]], "agg_col": [[0, 10]], "sel": 2}, "question_refine": "find the maximum days of hospital stay for patients admitted in or after the year 2182.", "sql": "SELECT MAX ( DEMOGRAPHIC.\"DAYS_STAY\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ADMITYEAR\" >= \"2182\"", "question_refine_tok": ["find", "the", "maximum", "days", "of", "hospital", "stay", "for", "patients", "admitted", "in", "or", "after", "the", "year", "2182", "."], "sql_tok": ["SELECT", "MAX", "(", "DEMOGRAPHIC.\"DAYS_STAY\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ADMITYEAR\"", ">=", "\"2182\""]}
{"key": "c0125c18c5eb4972459f4b15318694ae", "format": {"table": [0], "cond": [[0, 3, 0, "WIDOWED"], [0, 6, 0, "F"]], "agg_col": [[0, 4]], "sel": 2}, "question_refine": "what is the maximum age of male patients whose marital status is widowed?", "sql": "SELECT MAX ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"MARITAL_STATUS\" = \"WIDOWED\" AND DEMOGRAPHIC.\"GENDER\" = \"F\"", "question_refine_tok": ["what", "is", "the", "maximum", "age", "of", "male", "patients", "whose", "marital", "status", "is", "widowed", "?"], "sql_tok": ["SELECT", "MAX", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"MARITAL_STATUS\"", "=", "\"WIDOWED\"", "AND", "DEMOGRAPHIC.\"GENDER\"", "=", "\"F\""]}
{"key": "cd640109b6608e690aecd31193fa9a08", "format": {"table": [0], "cond": [[0, 3, 0, "DIVORCED"], [0, 6, 0, "M"]], "agg_col": [[0, 4]], "sel": 4}, "question_refine": "calculate the average age of male patients who were divorcee", "sql": "SELECT AVG ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"MARITAL_STATUS\" = \"DIVORCED\" AND DEMOGRAPHIC.\"GENDER\" = \"M\"", "question_refine_tok": ["calculate", "the", "average", "age", "of", "male", "patients", "who", "were", "divorcee"], "sql_tok": ["SELECT", "AVG", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"MARITAL_STATUS\"", "=", "\"DIVORCED\"", "AND", "DEMOGRAPHIC.\"GENDER\"", "=", "\"M\""]}
{"key": "0316c26d352204b490919aac75ece0a4", "format": {"table": [0], "cond": [[0, 3, 0, "WIDOWED"], [0, 9, 0, "ELECTIVE"]], "agg_col": [[0, 4]], "sel": 2}, "question_refine": "calculate the maximum age of widow patients who had elective hospital admission.", "sql": "SELECT MAX ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"MARITAL_STATUS\" = \"WIDOWED\" AND DEMOGRAPHIC.\"ADMISSION_TYPE\" = \"ELECTIVE\"", "question_refine_tok": ["calculate", "the", "maximum", "age", "of", "widow", "patients", "who", "had", "elective", "hospital", "admission", "."], "sql_tok": ["SELECT", "MAX", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"MARITAL_STATUS\"", "=", "\"WIDOWED\"", "AND", "DEMOGRAPHIC.\"ADMISSION_TYPE\"", "=", "\"ELECTIVE\""]}
{"key": "7f979e068e74010c0e036725991a5699", "format": {"table": [0], "cond": [[0, 3, 0, "MARRIED"], [0, 9, 0, "URGENT"]], "agg_col": [[0, 4]], "sel": 4}, "question_refine": "what is the average age of patients whose marital status is married and admission type is urgent?", "sql": "SELECT AVG ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"MARITAL_STATUS\" = \"MARRIED\" AND DEMOGRAPHIC.\"ADMISSION_TYPE\" = \"URGENT\"", "question_refine_tok": ["what", "is", "the", "average", "age", "of", "patients", "whose", "marital", "status", "is", "married", "and", "admission", "type", "is", "urgent", "?"], "sql_tok": ["SELECT", "AVG", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"MARITAL_STATUS\"", "=", "\"MARRIED\"", "AND", "DEMOGRAPHIC.\"ADMISSION_TYPE\"", "=", "\"URGENT\""]}
{"key": "4cafccb4bb1060376c5599b9d48cc970", "format": {"table": [0], "cond": [[0, 3, 0, "MARRIED"], [0, 11, 0, "Medicaid"]], "agg_col": [[0, 4]], "sel": 3}, "question_refine": "find the maximum age of patients who are married and have medicaid insurance.", "sql": "SELECT MIN ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"MARITAL_STATUS\" = \"MARRIED\" AND DEMOGRAPHIC.\"INSURANCE\" = \"Medicaid\"", "question_refine_tok": ["find", "the", "maximum", "age", "of", "patients", "who", "are", "married", "and", "have", "medicaid", "insurance", "."], "sql_tok": ["SELECT", "MIN", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"MARITAL_STATUS\"", "=", "\"MARRIED\"", "AND", "DEMOGRAPHIC.\"INSURANCE\"", "=", "\"Medicaid\""]}
{"key": "d3d022f7751979bec57b63fcc60f9afc", "format": {"table": [0], "cond": [[0, 3, 0, "MARRIED"], [0, 11, 0, "Medicare"]], "agg_col": [[0, 4]], "sel": 4}, "question_refine": "mention the number of patients who are married and have medicare insurance.", "sql": "SELECT AVG ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"MARITAL_STATUS\" = \"MARRIED\" AND DEMOGRAPHIC.\"INSURANCE\" = \"Medicare\"", "question_refine_tok": ["mention", "the", "number", "of", "patients", "who", "are", "married", "and", "have", "medicare", "insurance", "."], "sql_tok": ["SELECT", "AVG", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"MARITAL_STATUS\"", "=", "\"MARRIED\"", "AND", "DEMOGRAPHIC.\"INSURANCE\"", "=", "\"Medicare\""]}
{"key": "4fa6b5f8eddfd54d00c54e722172a79a", "format": {"table": [0], "cond": [[0, 3, 0, "MARRIED"], [0, 15, 0, "DEAD/EXPIRED"]], "agg_col": [[0, 4]], "sel": 3}, "question_refine": "what is the minimum age of dead patients who were married and have been discharged?", "sql": "SELECT MIN ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"MARITAL_STATUS\" = \"MARRIED\" AND DEMOGRAPHIC.\"DISCHARGE_LOCATION\" = \"DEAD/EXPIRED\"", "question_refine_tok": ["what", "is", "the", "minimum", "age", "of", "dead", "patients", "who", "were", "married", "and", "have", "been", "discharged", "?"], "sql_tok": ["SELECT", "MIN", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"MARITAL_STATUS\"", "=", "\"MARRIED\"", "AND", "DEMOGRAPHIC.\"DISCHARGE_LOCATION\"", "=", "\"DEAD/EXPIRED\""]}
{"key": "46fbef596868ec43b7de4ed512d8ae92", "format": {"table": [0], "cond": [[0, 3, 0, "MARRIED"], [0, 15, 0, "LEFT AGAINST MEDICAL ADVI"]], "agg_col": [[0, 4]], "sel": 3}, "question_refine": "calculate the minimum age of those married patients who left against medical advise", "sql": "SELECT MIN ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"MARITAL_STATUS\" = \"MARRIED\" AND DEMOGRAPHIC.\"DISCHARGE_LOCATION\" = \"LEFT AGAINST MEDICAL ADVI\"", "question_refine_tok": ["calculate", "the", "minimum", "age", "of", "those", "married", "patients", "who", "left", "against", "medical", "advise"], "sql_tok": ["SELECT", "MIN", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"MARITAL_STATUS\"", "=", "\"MARRIED\"", "AND", "DEMOGRAPHIC.\"DISCHARGE_LOCATION\"", "=", "\"LEFT", "AGAINST", "MEDICAL", "ADVI\""]}
{"key": "eef1312931162ab9604dde18df927683", "format": {"table": [0], "cond": [[0, 3, 0, "MARRIED"], [0, 16, 0, "ST-SEGMENT ELEVATION MYOCARDIAL INFARCTION\\CARDIAC CATH"]], "agg_col": [[0, 4]], "sel": 2}, "question_refine": "what is the maximum age of patients who are married and primary disease is st-segment elevation myocardial infarction.cardiac cath?", "sql": "SELECT MAX ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"MARITAL_STATUS\" = \"MARRIED\" AND DEMOGRAPHIC.\"DIAGNOSIS\" = \"ST-SEGMENT ELEVATION MYOCARDIAL INFARCTION\\CARDIAC CATH\"", "question_refine_tok": ["what", "is", "the", "maximum", "age", "of", "patients", "who", "are", "married", "and", "primary", "disease", "is", "st", "-", "segment", "elevation", "myocardial", "infarction.cardiac", "cath", "?"], "sql_tok": ["SELECT", "MAX", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"MARITAL_STATUS\"", "=", "\"MARRIED\"", "AND", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"ST-SEGMENT", "ELEVATION", "MYOCARDIAL", "INFARCTION\\CARDIAC", "CATH\""]}
{"key": "28489b020c497681498317afef320c2d", "format": {"table": [0], "cond": [[0, 3, 0, "MARRIED"], [0, 4, 3, 43]], "agg_col": [[0, 4]], "sel": 4}, "question_refine": "what is the average age of married patients who are of 43 years of age or more?", "sql": "SELECT AVG ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"MARITAL_STATUS\" = \"MARRIED\" AND DEMOGRAPHIC.\"AGE\" >= \"43\"", "question_refine_tok": ["what", "is", "the", "average", "age", "of", "married", "patients", "who", "are", "of", "43", "years", "of", "age", "or", "more", "?"], "sql_tok": ["SELECT", "AVG", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"MARITAL_STATUS\"", "=", "\"MARRIED\"", "AND", "DEMOGRAPHIC.\"AGE\"", ">=", "\"43\""]}
{"key": "39417b8523241635a3303936f117c900", "format": {"table": [0], "cond": [[0, 3, 0, "SINGLE"], [0, 18, 1, 2090]], "agg_col": [[0, 4]], "sel": 4}, "question_refine": "calculate the average age of unmarried patients who were born after 2090.", "sql": "SELECT AVG ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"MARITAL_STATUS\" = \"SINGLE\" AND DEMOGRAPHIC.\"DOB_YEAR\" > \"2090\"", "question_refine_tok": ["calculate", "the", "average", "age", "of", "unmarried", "patients", "who", "were", "born", "after", "2090", "."], "sql_tok": ["SELECT", "AVG", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"MARITAL_STATUS\"", "=", "\"SINGLE\"", "AND", "DEMOGRAPHIC.\"DOB_YEAR\"", ">", "\"2090\""]}
{"key": "5350c8f582a3eb7edd3e70112a31dadf", "format": {"table": [0], "cond": [[0, 3, 0, "MARRIED"], [0, 22, 3, 2180]], "agg_col": [[0, 4]], "sel": 3}, "question_refine": "calculate the minimum age of married patients who were admitted to hospital on or after 2180.", "sql": "SELECT MIN ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"MARITAL_STATUS\" = \"MARRIED\" AND DEMOGRAPHIC.\"ADMITYEAR\" >= \"2180\"", "question_refine_tok": ["calculate", "the", "minimum", "age", "of", "married", "patients", "who", "were", "admitted", "to", "hospital", "on", "or", "after", "2180", "."], "sql_tok": ["SELECT", "MIN", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"MARITAL_STATUS\"", "=", "\"MARRIED\"", "AND", "DEMOGRAPHIC.\"ADMITYEAR\"", ">=", "\"2180\""]}
{"key": "2502de02a1c00c3799c3c27e085cbd19", "format": {"table": [0], "cond": [[0, 3, 0, "SINGLE"], [0, 22, 3, 2155]], "agg_col": [[0, 4]], "sel": 3}, "question_refine": "specify the minimum age of unmarried patients admitted in the year more than or equal to 2155", "sql": "SELECT MIN ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"MARITAL_STATUS\" = \"SINGLE\" AND DEMOGRAPHIC.\"ADMITYEAR\" >= \"2155\"", "question_refine_tok": ["specify", "the", "minimum", "age", "of", "unmarried", "patients", "admitted", "in", "the", "year", "more", "than", "or", "equal", "to", "2155"], "sql_tok": ["SELECT", "MIN", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"MARITAL_STATUS\"", "=", "\"SINGLE\"", "AND", "DEMOGRAPHIC.\"ADMITYEAR\"", ">=", "\"2155\""]}
{"key": "20dfaa593fad6de208df9163b740b2b2", "format": {"table": [0], "cond": [[0, 6, 0, "M"], [0, 12, 0, "BLACK/CAPE VERDEAN"]], "agg_col": [[0, 4]], "sel": 4}, "question_refine": "find the average age of male patients whose etgnicity is black/cape verdean.", "sql": "SELECT AVG ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"GENDER\" = \"M\" AND DEMOGRAPHIC.\"ETHNICITY\" = \"BLACK/CAPE VERDEAN\"", "question_refine_tok": ["find", "the", "average", "age", "of", "male", "patients", "whose", "etgnicity", "is", "black", "/", "cape", "verdean", "."], "sql_tok": ["SELECT", "AVG", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"GENDER\"", "=", "\"M\"", "AND", "DEMOGRAPHIC.\"ETHNICITY\"", "=", "\"BLACK/CAPE", "VERDEAN\""]}
{"key": "de86930c28c7e9032eef36e0219925f0", "format": {"table": [0], "cond": [[0, 6, 0, "F"], [0, 15, 0, "SNF"]], "agg_col": [[0, 4]], "sel": 2}, "question_refine": "calculate the maximum age of female patients who were discharged to skilled nursing facility.", "sql": "SELECT MAX ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"GENDER\" = \"F\" AND DEMOGRAPHIC.\"DISCHARGE_LOCATION\" = \"SNF\"", "question_refine_tok": ["calculate", "the", "maximum", "age", "of", "female", "patients", "who", "were", "discharged", "to", "skilled", "nursing", "facility", "."], "sql_tok": ["SELECT", "MAX", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"GENDER\"", "=", "\"F\"", "AND", "DEMOGRAPHIC.\"DISCHARGE_LOCATION\"", "=", "\"SNF\""]}
{"key": "34ac907fcf8bc67bca2c86bed87a4834", "format": {"table": [0], "cond": [[0, 6, 0, "F"], [0, 15, 0, "DISCH-TRAN TO PSYCH HOSP"]], "agg_col": [[0, 4]], "sel": 4}, "question_refine": "calculate the average age of female patients who had psychiatric facility-partial hospitalization discharge.", "sql": "SELECT AVG ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"GENDER\" = \"F\" AND DEMOGRAPHIC.\"DISCHARGE_LOCATION\" = \"DISCH-TRAN TO PSYCH HOSP\"", "question_refine_tok": ["calculate", "the", "average", "age", "of", "female", "patients", "who", "had", "psychiatric", "facility", "-", "partial", "hospitalization", "discharge", "."], "sql_tok": ["SELECT", "AVG", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"GENDER\"", "=", "\"F\"", "AND", "DEMOGRAPHIC.\"DISCHARGE_LOCATION\"", "=", "\"DISCH-TRAN", "TO", "PSYCH", "HOSP\""]}
{"key": "c27d7952b89bbcddca05a3f242e7c45e", "format": {"table": [0], "cond": [[0, 6, 0, "F"], [0, 4, 3, 85]], "agg_col": [[0, 4]], "sel": 2}, "question_refine": "calculate the maximum age of female patients who were 85 years or more.", "sql": "SELECT MAX ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"GENDER\" = \"F\" AND DEMOGRAPHIC.\"AGE\" >= \"85\"", "question_refine_tok": ["calculate", "the", "maximum", "age", "of", "female", "patients", "who", "were", "85", "years", "or", "more", "."], "sql_tok": ["SELECT", "MAX", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"GENDER\"", "=", "\"F\"", "AND", "DEMOGRAPHIC.\"AGE\"", ">=", "\"85\""]}
{"key": "4c20ea4902c7e1ce67d41a4f6a4ec520", "format": {"table": [0], "cond": [[0, 6, 0, "F"], [0, 4, 3, 31]], "agg_col": [[0, 4]], "sel": 3}, "question_refine": "calculate the minimum age of female patients who are 31 years old or older than that.", "sql": "SELECT MIN ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"GENDER\" = \"F\" AND DEMOGRAPHIC.\"AGE\" >= \"31\"", "question_refine_tok": ["calculate", "the", "minimum", "age", "of", "female", "patients", "who", "are", "31", "years", "old", "or", "older", "than", "that", "."], "sql_tok": ["SELECT", "MIN", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"GENDER\"", "=", "\"F\"", "AND", "DEMOGRAPHIC.\"AGE\"", ">=", "\"31\""]}
{"key": "5f774f22308fc7d47c7ccc9eb7072f11", "format": {"table": [0], "cond": [[0, 6, 0, "M"], [0, 4, 3, 50]], "agg_col": [[0, 4]], "sel": 3}, "question_refine": "calculate the minimum age of male patients who were 50 years old or older than that.", "sql": "SELECT MIN ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"GENDER\" = \"M\" AND DEMOGRAPHIC.\"AGE\" >= \"50\"", "question_refine_tok": ["calculate", "the", "minimum", "age", "of", "male", "patients", "who", "were", "50", "years", "old", "or", "older", "than", "that", "."], "sql_tok": ["SELECT", "MIN", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"GENDER\"", "=", "\"M\"", "AND", "DEMOGRAPHIC.\"AGE\"", ">=", "\"50\""]}
{"key": "b7b6b04a4763b3b8b7f219bb88224ade", "format": {"table": [0], "cond": [[0, 7, 0, "SPAN"], [0, 16, 0, "BRAIN MASS;INTRACRANIAL HEMORRHAGE"]], "agg_col": [[0, 4]], "sel": 4}, "question_refine": "what is average age of patients whose language is span and primary disease is brain mass;intracranial hemorrhage?", "sql": "SELECT AVG ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"LANGUAGE\" = \"SPAN\" AND DEMOGRAPHIC.\"DIAGNOSIS\" = \"BRAIN MASS;INTRACRANIAL HEMORRHAGE\"", "question_refine_tok": ["what", "is", "average", "age", "of", "patients", "whose", "language", "is", "span", "and", "primary", "disease", "is", "brain", "mass;intracranial", "hemorrhage", "?"], "sql_tok": ["SELECT", "AVG", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"LANGUAGE\"", "=", "\"SPAN\"", "AND", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"BRAIN", "MASS;INTRACRANIAL", "HEMORRHAGE\""]}
{"key": "61698bbb195fb9021d5dab81be83bf7d", "format": {"table": [0], "cond": [[0, 7, 0, "SPAN"], [0, 16, 0, "BLADDER CANCER/SDA"]], "agg_col": [[0, 4]], "sel": 3}, "question_refine": "calculate the minimum age of spanish speaking patients who have bladder cancer/sda primary disease.", "sql": "SELECT MIN ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"LANGUAGE\" = \"SPAN\" AND DEMOGRAPHIC.\"DIAGNOSIS\" = \"BLADDER CANCER/SDA\"", "question_refine_tok": ["calculate", "the", "minimum", "age", "of", "spanish", "speaking", "patients", "who", "have", "bladder", "cancer", "/", "sda", "primary", "disease", "."], "sql_tok": ["SELECT", "MIN", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"LANGUAGE\"", "=", "\"SPAN\"", "AND", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"BLADDER", "CANCER/SDA\""]}
{"key": "77a3ddf9ed8713fcb66ccc9bffca9663", "format": {"table": [0], "cond": [[0, 7, 0, "RUSS"], [0, 16, 0, "MORBID OBESITY/SDA"]], "agg_col": [[0, 4]], "sel": 4}, "question_refine": "what is the average age of patients whose language is russian and primary disease is morbid obesity/sda?", "sql": "SELECT AVG ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"LANGUAGE\" = \"RUSS\" AND DEMOGRAPHIC.\"DIAGNOSIS\" = \"MORBID OBESITY/SDA\"", "question_refine_tok": ["what", "is", "the", "average", "age", "of", "patients", "whose", "language", "is", "russian", "and", "primary", "disease", "is", "morbid", "obesity", "/", "sda", "?"], "sql_tok": ["SELECT", "AVG", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"LANGUAGE\"", "=", "\"RUSS\"", "AND", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"MORBID", "OBESITY/SDA\""]}
{"key": "015a83821647c4dd541e1e2b977f34ea", "format": {"table": [0], "cond": [[0, 7, 0, "CAPE"], [0, 16, 0, "COMPLETE HEART BLOCK"]], "agg_col": [[0, 4]], "sel": 3}, "question_refine": "calculate the minimum age of cape speaking patients who had complete heart block as primary disease", "sql": "SELECT MIN ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"LANGUAGE\" = \"CAPE\" AND DEMOGRAPHIC.\"DIAGNOSIS\" = \"COMPLETE HEART BLOCK\"", "question_refine_tok": ["calculate", "the", "minimum", "age", "of", "cape", "speaking", "patients", "who", "had", "complete", "heart", "block", "as", "primary", "disease"], "sql_tok": ["SELECT", "MIN", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"LANGUAGE\"", "=", "\"CAPE\"", "AND", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"COMPLETE", "HEART", "BLOCK\""]}
{"key": "ec052c40550c877066c711237bb1e0cc", "format": {"table": [0], "cond": [[0, 9, 0, "URGENT"], [0, 11, 0, "Government"]], "agg_col": [[0, 4]], "sel": 2}, "question_refine": "calculate the maximum age of urgent hospital admission patients who have government health insurance.", "sql": "SELECT MAX ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ADMISSION_TYPE\" = \"URGENT\" AND DEMOGRAPHIC.\"INSURANCE\" = \"Government\"", "question_refine_tok": ["calculate", "the", "maximum", "age", "of", "urgent", "hospital", "admission", "patients", "who", "have", "government", "health", "insurance", "."], "sql_tok": ["SELECT", "MAX", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ADMISSION_TYPE\"", "=", "\"URGENT\"", "AND", "DEMOGRAPHIC.\"INSURANCE\"", "=", "\"Government\""]}
{"key": "6fbdb4afc2de496365548ef044ca2f43", "format": {"table": [0], "cond": [[0, 9, 0, "ELECTIVE"], [0, 11, 0, "Private"]], "agg_col": [[0, 4]], "sel": 2}, "question_refine": "what is the maximum age of patients whose admission type is elective and insurance is private. ", "sql": "SELECT MAX ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ADMISSION_TYPE\" = \"ELECTIVE\" AND DEMOGRAPHIC.\"INSURANCE\" = \"Private\"", "question_refine_tok": ["what", "is", "the", "maximum", "age", "of", "patients", "whose", "admission", "type", "is", "elective", "and", "insurance", "is", "private", "."], "sql_tok": ["SELECT", "MAX", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ADMISSION_TYPE\"", "=", "\"ELECTIVE\"", "AND", "DEMOGRAPHIC.\"INSURANCE\"", "=", "\"Private\""]}
{"key": "e3cf6bcb090f7e15e2830171392b9f52", "format": {"table": [0], "cond": [[0, 9, 0, "EMERGENCY"], [0, 16, 0, "AORTIC INSUFFICIENCY\\RE-DO STERNOTOMY; AORTIC VALVE REPLACEMENT   "]], "agg_col": [[0, 4]], "sel": 4}, "question_refine": "calculate the average age of emergency type hospital admission patients who have aortic insufficiency/re-do sternotomy; aortic valve replacement primary disease.", "sql": "SELECT AVG ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ADMISSION_TYPE\" = \"EMERGENCY\" AND DEMOGRAPHIC.\"DIAGNOSIS\" = \"AORTIC INSUFFICIENCY\\RE-DO STERNOTOMY; AORTIC VALVE REPLACEMENT   \"", "question_refine_tok": ["calculate", "the", "average", "age", "of", "emergency", "type", "hospital", "admission", "patients", "who", "have", "aortic", "insufficiency", "/", "re", "-", "do", "sternotomy", ";", "aortic", "valve", "replacement", "primary", "disease", "."], "sql_tok": ["SELECT", "AVG", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ADMISSION_TYPE\"", "=", "\"EMERGENCY\"", "AND", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"AORTIC", "INSUFFICIENCY\\RE-DO", "STERNOTOMY;", "AORTIC", "VALVE", "REPLACEMENT", "", "", "\""]}
{"key": "2e6245c2512df5f0bb33ef5eb5b40741", "format": {"table": [0], "cond": [[0, 9, 0, "EMERGENCY"], [0, 16, 0, "HYPERTENSION;RULE OUT CORONARY ARTERY DISEASE\\CARDIAC CATH"]], "agg_col": [[0, 4]], "sel": 3}, "question_refine": "calculate the minimum age of emergency hospital admission patients who have hypertension; rule out coronary artery disease/cardiac catheterization primary disease.", "sql": "SELECT MIN ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ADMISSION_TYPE\" = \"EMERGENCY\" AND DEMOGRAPHIC.\"DIAGNOSIS\" = \"HYPERTENSION;RULE OUT CORONARY ARTERY DISEASE\\CARDIAC CATH\"", "question_refine_tok": ["calculate", "the", "minimum", "age", "of", "emergency", "hospital", "admission", "patients", "who", "have", "hypertension", ";", "rule", "out", "coronary", "artery", "disease", "/", "cardiac", "catheterization", "primary", "disease", "."], "sql_tok": ["SELECT", "MIN", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ADMISSION_TYPE\"", "=", "\"EMERGENCY\"", "AND", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"HYPERTENSION;RULE", "OUT", "CORONARY", "ARTERY", "DISEASE\\CARDIAC", "CATH\""]}
{"key": "7fd892eff75169a6dc401f7f5d972d8f", "format": {"table": [0], "cond": [[0, 9, 0, "EMERGENCY"], [0, 10, 0, 1]], "agg_col": [[0, 4]], "sel": 3}, "question_refine": "calculate the minimum age of emergency hospital admission patients who were hospitalized for a day.", "sql": "SELECT MIN ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ADMISSION_TYPE\" = \"EMERGENCY\" AND DEMOGRAPHIC.\"DAYS_STAY\" = \"1\"", "question_refine_tok": ["calculate", "the", "minimum", "age", "of", "emergency", "hospital", "admission", "patients", "who", "were", "hospitalized", "for", "a", "day", "."], "sql_tok": ["SELECT", "MIN", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ADMISSION_TYPE\"", "=", "\"EMERGENCY\"", "AND", "DEMOGRAPHIC.\"DAYS_STAY\"", "=", "\"1\""]}
{"key": "77ecaaeb8278ba07cac4ecf4ea3fbcea", "format": {"table": [0], "cond": [[0, 9, 0, "EMERGENCY"], [0, 10, 0, 2]], "agg_col": [[0, 4]], "sel": 2}, "question_refine": "what is the maximum age of patients whose admission type is emergency and the hospital stay is 2 days?", "sql": "SELECT MAX ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ADMISSION_TYPE\" = \"EMERGENCY\" AND DEMOGRAPHIC.\"DAYS_STAY\" = \"2\"", "question_refine_tok": ["what", "is", "the", "maximum", "age", "of", "patients", "whose", "admission", "type", "is", "emergency", "and", "the", "hospital", "stay", "is", "2", "days", "?"], "sql_tok": ["SELECT", "MAX", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ADMISSION_TYPE\"", "=", "\"EMERGENCY\"", "AND", "DEMOGRAPHIC.\"DAYS_STAY\"", "=", "\"2\""]}
{"key": "d00428d99cb2db589805211e3b9672f7", "format": {"table": [0], "cond": [[0, 9, 0, "EMERGENCY"], [0, 18, 1, 2074]], "agg_col": [[0, 4]], "sel": 4}, "question_refine": "calculate the average age of patients admitted to emergency who were born in the year more than 2074", "sql": "SELECT AVG ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ADMISSION_TYPE\" = \"EMERGENCY\" AND DEMOGRAPHIC.\"DOB_YEAR\" > \"2074\"", "question_refine_tok": ["calculate", "the", "average", "age", "of", "patients", "admitted", "to", "emergency", "who", "were", "born", "in", "the", "year", "more", "than", "2074"], "sql_tok": ["SELECT", "AVG", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ADMISSION_TYPE\"", "=", "\"EMERGENCY\"", "AND", "DEMOGRAPHIC.\"DOB_YEAR\"", ">", "\"2074\""]}
{"key": "06e490e8f0ccf886d73dd99fc02e98e6", "format": {"table": [0], "cond": [[0, 9, 0, "EMERGENCY"], [0, 18, 1, 2076]], "agg_col": [[0, 4]], "sel": 2}, "question_refine": "calculate the maximum age of paients admitted to emergency who were born in the year less than 2076", "sql": "SELECT MAX ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ADMISSION_TYPE\" = \"EMERGENCY\" AND DEMOGRAPHIC.\"DOB_YEAR\" > \"2076\"", "question_refine_tok": ["calculate", "the", "maximum", "age", "of", "paients", "admitted", "to", "emergency", "who", "were", "born", "in", "the", "year", "less", "than", "2076"], "sql_tok": ["SELECT", "MAX", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ADMISSION_TYPE\"", "=", "\"EMERGENCY\"", "AND", "DEMOGRAPHIC.\"DOB_YEAR\"", ">", "\"2076\""]}
{"key": "12e1862837bd90e4239e4093b8567222", "format": {"table": [0], "cond": [[0, 9, 0, "URGENT"], [0, 18, 1, 2089]], "agg_col": [[0, 4]], "sel": 3}, "question_refine": "find out the minimum age of urgent hospital admission patients who were born after 2089.", "sql": "SELECT MIN ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ADMISSION_TYPE\" = \"URGENT\" AND DEMOGRAPHIC.\"DOB_YEAR\" > \"2089\"", "question_refine_tok": ["find", "out", "the", "minimum", "age", "of", "urgent", "hospital", "admission", "patients", "who", "were", "born", "after", "2089", "."], "sql_tok": ["SELECT", "MIN", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ADMISSION_TYPE\"", "=", "\"URGENT\"", "AND", "DEMOGRAPHIC.\"DOB_YEAR\"", ">", "\"2089\""]}
{"key": "f4fe56070cc0142f91e83a85ea9ea41f", "format": {"table": [0], "cond": [[0, 9, 0, "EMERGENCY"], [0, 19, 2, 2138.0]], "agg_col": [[0, 4]], "sel": 3}, "question_refine": "calculate the minimum age of emergency type hospital admission patients who died before 2138.", "sql": "SELECT MIN ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ADMISSION_TYPE\" = \"EMERGENCY\" AND DEMOGRAPHIC.\"DOD_YEAR\" < \"2138.0\"", "question_refine_tok": ["calculate", "the", "minimum", "age", "of", "emergency", "type", "hospital", "admission", "patients", "who", "died", "before", "2138", "."], "sql_tok": ["SELECT", "MIN", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ADMISSION_TYPE\"", "=", "\"EMERGENCY\"", "AND", "DEMOGRAPHIC.\"DOD_YEAR\"", "<", "\"2138.0\""]}
{"key": "67f299009563511e478a4e4b024b6379", "format": {"table": [0], "cond": [[0, 9, 0, "EMERGENCY"], [0, 19, 2, 2173.0]], "agg_col": [[0, 4]], "sel": 2}, "question_refine": "calculate the maximum age of emergency hospital admission patients who died before 2173.", "sql": "SELECT MAX ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ADMISSION_TYPE\" = \"EMERGENCY\" AND DEMOGRAPHIC.\"DOD_YEAR\" < \"2173.0\"", "question_refine_tok": ["calculate", "the", "maximum", "age", "of", "emergency", "hospital", "admission", "patients", "who", "died", "before", "2173", "."], "sql_tok": ["SELECT", "MAX", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ADMISSION_TYPE\"", "=", "\"EMERGENCY\"", "AND", "DEMOGRAPHIC.\"DOD_YEAR\"", "<", "\"2173.0\""]}
{"key": "b88a0ff674ee6b22c60eec3c4b9227c0", "format": {"table": [0], "cond": [[0, 9, 0, "URGENT"], [0, 19, 2, 2111.0]], "agg_col": [[0, 4]], "sel": 3}, "question_refine": "calculate the minimum age of patients admitted on an urgent basis who died before 2111.", "sql": "SELECT MIN ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ADMISSION_TYPE\" = \"URGENT\" AND DEMOGRAPHIC.\"DOD_YEAR\" < \"2111.0\"", "question_refine_tok": ["calculate", "the", "minimum", "age", "of", "patients", "admitted", "on", "an", "urgent", "basis", "who", "died", "before", "2111", "."], "sql_tok": ["SELECT", "MIN", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ADMISSION_TYPE\"", "=", "\"URGENT\"", "AND", "DEMOGRAPHIC.\"DOD_YEAR\"", "<", "\"2111.0\""]}
{"key": "1d30f7900a873d3ed0be64cf6154c4f7", "format": {"table": [0], "cond": [[0, 9, 0, "EMERGENCY"], [0, 22, 3, 2174]], "agg_col": [[0, 4]], "sel": 2}, "question_refine": "calculate the maximum age of patients admitted to emergency in the year more than or equal to 2174.", "sql": "SELECT MAX ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ADMISSION_TYPE\" = \"EMERGENCY\" AND DEMOGRAPHIC.\"ADMITYEAR\" >= \"2174\"", "question_refine_tok": ["calculate", "the", "maximum", "age", "of", "patients", "admitted", "to", "emergency", "in", "the", "year", "more", "than", "or", "equal", "to", "2174", "."], "sql_tok": ["SELECT", "MAX", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ADMISSION_TYPE\"", "=", "\"EMERGENCY\"", "AND", "DEMOGRAPHIC.\"ADMITYEAR\"", ">=", "\"2174\""]}
{"key": "d85fde0729f54e2ca0fcf8e156356209", "format": {"table": [0], "cond": [[0, 9, 0, "URGENT"], [0, 22, 3, 2178]], "agg_col": [[0, 4]], "sel": 3}, "question_refine": "calculate the minimum age of urgent hospital admission patients admitted on or after 2178.", "sql": "SELECT MIN ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ADMISSION_TYPE\" = \"URGENT\" AND DEMOGRAPHIC.\"ADMITYEAR\" >= \"2178\"", "question_refine_tok": ["calculate", "the", "minimum", "age", "of", "urgent", "hospital", "admission", "patients", "admitted", "on", "or", "after", "2178", "."], "sql_tok": ["SELECT", "MIN", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ADMISSION_TYPE\"", "=", "\"URGENT\"", "AND", "DEMOGRAPHIC.\"ADMITYEAR\"", ">=", "\"2178\""]}
{"key": "8d551e7b6572e6da640dd1c24d650dc6", "format": {"table": [0], "cond": [[0, 11, 0, "Medicaid"], [0, 12, 0, "WHITE"]], "agg_col": [[0, 4]], "sel": 3}, "question_refine": "what is the minimum age of patients whose insurance is medicaid and ethnicity is white?", "sql": "SELECT MIN ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"INSURANCE\" = \"Medicaid\" AND DEMOGRAPHIC.\"ETHNICITY\" = \"WHITE\"", "question_refine_tok": ["what", "is", "the", "minimum", "age", "of", "patients", "whose", "insurance", "is", "medicaid", "and", "ethnicity", "is", "white", "?"], "sql_tok": ["SELECT", "MIN", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"INSURANCE\"", "=", "\"Medicaid\"", "AND", "DEMOGRAPHIC.\"ETHNICITY\"", "=", "\"WHITE\""]}
{"key": "a35f3d0e9ae6824a0706bf95e8f6bb12", "format": {"table": [0], "cond": [[0, 11, 0, "Medicaid"], [0, 16, 0, "SDH"]], "agg_col": [[0, 4]], "sel": 3}, "question_refine": "calculate the minimum age of patients on medicaid insurance who had sdh as primary disease.", "sql": "SELECT MIN ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"INSURANCE\" = \"Medicaid\" AND DEMOGRAPHIC.\"DIAGNOSIS\" = \"SDH\"", "question_refine_tok": ["calculate", "the", "minimum", "age", "of", "patients", "on", "medicaid", "insurance", "who", "had", "sdh", "as", "primary", "disease", "."], "sql_tok": ["SELECT", "MIN", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"INSURANCE\"", "=", "\"Medicaid\"", "AND", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"SDH\""]}
{"key": "726757ca298de93eb3cac7915ca04fd3", "format": {"table": [0], "cond": [[0, 12, 0, "WHITE - RUSSIAN"], [0, 10, 0, 27]], "agg_col": [[0, 4]], "sel": 2}, "question_refine": "what is the maximum age of patients with white-russian ethnicity and stayed in hospital for 27 days?", "sql": "SELECT MAX ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ETHNICITY\" = \"WHITE - RUSSIAN\" AND DEMOGRAPHIC.\"DAYS_STAY\" = \"27\"", "question_refine_tok": ["what", "is", "the", "maximum", "age", "of", "patients", "with", "white", "-", "russian", "ethnicity", "and", "stayed", "in", "hospital", "for", "27", "days", "?"], "sql_tok": ["SELECT", "MAX", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ETHNICITY\"", "=", "\"WHITE", "-", "RUSSIAN\"", "AND", "DEMOGRAPHIC.\"DAYS_STAY\"", "=", "\"27\""]}
{"key": "695357d96c62bf954b1bf7f33567945a", "format": {"table": [0], "cond": [[0, 12, 0, "WHITE"], [0, 10, 0, 5]], "agg_col": [[0, 4]], "sel": 2}, "question_refine": "what is the maximum age of patients with white ethnicity and stayed in hospital for 5 days?", "sql": "SELECT MAX ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ETHNICITY\" = \"WHITE\" AND DEMOGRAPHIC.\"DAYS_STAY\" = \"5\"", "question_refine_tok": ["what", "is", "the", "maximum", "age", "of", "patients", "with", "white", "ethnicity", "and", "stayed", "in", "hospital", "for", "5", "days", "?"], "sql_tok": ["SELECT", "MAX", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ETHNICITY\"", "=", "\"WHITE\"", "AND", "DEMOGRAPHIC.\"DAYS_STAY\"", "=", "\"5\""]}
{"key": "26d3e3003cb4443d33eac868a5286156", "format": {"table": [0], "cond": [[0, 12, 0, "BLACK/AFRICAN AMERICAN"], [0, 19, 2, 2148.0]], "agg_col": [[0, 4]], "sel": 2}, "question_refine": "give the maximum age of patients with black/african american ethnicity and who died before the year 2148.", "sql": "SELECT MAX ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ETHNICITY\" = \"BLACK/AFRICAN AMERICAN\" AND DEMOGRAPHIC.\"DOD_YEAR\" < \"2148.0\"", "question_refine_tok": ["give", "the", "maximum", "age", "of", "patients", "with", "black", "/", "african", "american", "ethnicity", "and", "who", "died", "before", "the", "year", "2148", "."], "sql_tok": ["SELECT", "MAX", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ETHNICITY\"", "=", "\"BLACK/AFRICAN", "AMERICAN\"", "AND", "DEMOGRAPHIC.\"DOD_YEAR\"", "<", "\"2148.0\""]}
{"key": "b4808f525b2c5da4b37760d85b6016e3", "format": {"table": [0], "cond": [[0, 12, 0, "WHITE - RUSSIAN"], [0, 22, 3, 2138]], "agg_col": [[0, 4]], "sel": 3}, "question_refine": "calculate the minimum age of white-russian ethnic background patients who were admitted to hospital on or after 2138.", "sql": "SELECT MIN ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ETHNICITY\" = \"WHITE - RUSSIAN\" AND DEMOGRAPHIC.\"ADMITYEAR\" >= \"2138\"", "question_refine_tok": ["calculate", "the", "minimum", "age", "of", "white", "-", "russian", "ethnic", "background", "patients", "who", "were", "admitted", "to", "hospital", "on", "or", "after", "2138", "."], "sql_tok": ["SELECT", "MIN", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ETHNICITY\"", "=", "\"WHITE", "-", "RUSSIAN\"", "AND", "DEMOGRAPHIC.\"ADMITYEAR\"", ">=", "\"2138\""]}
{"key": "8f486e6beed8d8ad58fd63a63af2d161", "format": {"table": [0], "cond": [[0, 12, 0, "WHITE - RUSSIAN"], [0, 22, 3, 2144]], "agg_col": [[0, 4]], "sel": 4}, "question_refine": "calculate the average age of patients belonging to white-russian ethnicity who were admintted in the year more than or equal to 2144", "sql": "SELECT AVG ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ETHNICITY\" = \"WHITE - RUSSIAN\" AND DEMOGRAPHIC.\"ADMITYEAR\" >= \"2144\"", "question_refine_tok": ["calculate", "the", "average", "age", "of", "patients", "belonging", "to", "white", "-", "russian", "ethnicity", "who", "were", "admintted", "in", "the", "year", "more", "than", "or", "equal", "to", "2144"], "sql_tok": ["SELECT", "AVG", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ETHNICITY\"", "=", "\"WHITE", "-", "RUSSIAN\"", "AND", "DEMOGRAPHIC.\"ADMITYEAR\"", ">=", "\"2144\""]}
{"key": "b14457988087883bca72512636ebc357", "format": {"table": [0], "cond": [[0, 13, 0, 0], [0, 16, 0, "SIGMOID DIVERTICULITIS, COLOVESTICAL FISTULA/SDA"]], "agg_col": [[0, 4]], "sel": 2}, "question_refine": "among patients who had sigmoid diverticulitis, colovestical fistula/sda as primary disease, calculate the maximum age of those with unspecified death status", "sql": "SELECT MAX ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"EXPIRE_FLAG\" = \"0\" AND DEMOGRAPHIC.\"DIAGNOSIS\" = \"SIGMOID DIVERTICULITIS, COLOVESTICAL FISTULA/SDA\"", "question_refine_tok": ["among", "patients", "who", "had", "sigmoid", "diverticulitis", ",", "colovestical", "fistula", "/", "sda", "as", "primary", "disease", ",", "calculate", "the", "maximum", "age", "of", "those", "with", "unspecified", "death", "status"], "sql_tok": ["SELECT", "MAX", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"EXPIRE_FLAG\"", "=", "\"0\"", "AND", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"SIGMOID", "DIVERTICULITIS,", "COLOVESTICAL", "FISTULA/SDA\""]}
{"key": "1640d853b1bd22db0edbf8ff04dfdc48", "format": {"table": [0], "cond": [[0, 13, 0, 0], [0, 16, 0, "NEWBORN"]], "agg_col": [[0, 4]], "sel": 4}, "question_refine": "provide the average age of patients whose death status is 0 and primary disease is newborn.", "sql": "SELECT AVG ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"EXPIRE_FLAG\" = \"0\" AND DEMOGRAPHIC.\"DIAGNOSIS\" = \"NEWBORN\"", "question_refine_tok": ["provide", "the", "average", "age", "of", "patients", "whose", "death", "status", "is", "0", "and", "primary", "disease", "is", "newborn", "."], "sql_tok": ["SELECT", "AVG", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"EXPIRE_FLAG\"", "=", "\"0\"", "AND", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"NEWBORN\""]}
{"key": "8b4b68eb493889c13b91e30222e65746", "format": {"table": [0], "cond": [[0, 13, 0, 0], [0, 16, 0, "PITUITARY BLEED"]], "agg_col": [[0, 4]], "sel": 2}, "question_refine": "what is the maximum age of patients whose death status is 1 and diagnosed with primary disease pituitary bleed?", "sql": "SELECT MAX ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"EXPIRE_FLAG\" = \"0\" AND DEMOGRAPHIC.\"DIAGNOSIS\" = \"PITUITARY BLEED\"", "question_refine_tok": ["what", "is", "the", "maximum", "age", "of", "patients", "whose", "death", "status", "is", "1", "and", "diagnosed", "with", "primary", "disease", "pituitary", "bleed", "?"], "sql_tok": ["SELECT", "MAX", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"EXPIRE_FLAG\"", "=", "\"0\"", "AND", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"PITUITARY", "BLEED\""]}
{"key": "9eca17508619c54a6a63f6219dbc9352", "format": {"table": [0], "cond": [[0, 13, 0, 0], [0, 4, 3, 67]], "agg_col": [[0, 4]], "sel": 4}, "question_refine": "what is the average age of patients whose death status is 0 whose age is more or equal to 67?", "sql": "SELECT AVG ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"EXPIRE_FLAG\" = \"0\" AND DEMOGRAPHIC.\"AGE\" >= \"67\"", "question_refine_tok": ["what", "is", "the", "average", "age", "of", "patients", "whose", "death", "status", "is", "0", "whose", "age", "is", "more", "or", "equal", "to", "67", "?"], "sql_tok": ["SELECT", "AVG", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"EXPIRE_FLAG\"", "=", "\"0\"", "AND", "DEMOGRAPHIC.\"AGE\"", ">=", "\"67\""]}
{"key": "488c3217e7ad39bed8f737efbd669143", "format": {"table": [0], "cond": [[0, 13, 0, 0], [0, 22, 3, 2120]], "agg_col": [[0, 4]], "sel": 4}, "question_refine": "calculate the average age of patients who are still living and admitted to hospital in or after 2120.", "sql": "SELECT AVG ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"EXPIRE_FLAG\" = \"0\" AND DEMOGRAPHIC.\"ADMITYEAR\" >= \"2120\"", "question_refine_tok": ["calculate", "the", "average", "age", "of", "patients", "who", "are", "still", "living", "and", "admitted", "to", "hospital", "in", "or", "after", "2120", "."], "sql_tok": ["SELECT", "AVG", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"EXPIRE_FLAG\"", "=", "\"0\"", "AND", "DEMOGRAPHIC.\"ADMITYEAR\"", ">=", "\"2120\""]}
{"key": "232b0784e0359692d371544e88e69476", "format": {"table": [0], "cond": [[0, 14, 0, "PHYS REFERRAL/NORMAL DELI"], [0, 15, 0, "HOME HEALTH CARE"]], "agg_col": [[0, 4]], "sel": 2}, "question_refine": "calculate the maximum age of office admitted patients who had home health care discharge location.", "sql": "SELECT MAX ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ADMISSION_LOCATION\" = \"PHYS REFERRAL/NORMAL DELI\" AND DEMOGRAPHIC.\"DISCHARGE_LOCATION\" = \"HOME HEALTH CARE\"", "question_refine_tok": ["calculate", "the", "maximum", "age", "of", "office", "admitted", "patients", "who", "had", "home", "health", "care", "discharge", "location", "."], "sql_tok": ["SELECT", "MAX", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ADMISSION_LOCATION\"", "=", "\"PHYS", "REFERRAL/NORMAL", "DELI\"", "AND", "DEMOGRAPHIC.\"DISCHARGE_LOCATION\"", "=", "\"HOME", "HEALTH", "CARE\""]}
{"key": "c9781546449c4fefa94b18fc421fffd8", "format": {"table": [0], "cond": [[0, 14, 0, "CLINIC REFERRAL/PREMATURE"], [0, 16, 0, "STERNAL WOUND INFECTION"]], "agg_col": [[0, 4]], "sel": 2}, "question_refine": "find the maximum age of patients with admission location as clinic referral/premature and primary disease as sternal wound infection.", "sql": "SELECT MAX ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ADMISSION_LOCATION\" = \"CLINIC REFERRAL/PREMATURE\" AND DEMOGRAPHIC.\"DIAGNOSIS\" = \"STERNAL WOUND INFECTION\"", "question_refine_tok": ["find", "the", "maximum", "age", "of", "patients", "with", "admission", "location", "as", "clinic", "referral", "/", "premature", "and", "primary", "disease", "as", "sternal", "wound", "infection", "."], "sql_tok": ["SELECT", "MAX", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ADMISSION_LOCATION\"", "=", "\"CLINIC", "REFERRAL/PREMATURE\"", "AND", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"STERNAL", "WOUND", "INFECTION\""]}
{"key": "78c501a271efe41f9e31f8f3688ae412", "format": {"table": [0], "cond": [[0, 14, 0, "TRSF WITHIN THIS FACILITY"], [0, 16, 0, "LIVER TRANSPLANT"]], "agg_col": [[0, 4]], "sel": 2}, "question_refine": "what is the maximum age of patients with admission location trsf within this facility and diagnosed with primary disease liver transplant?", "sql": "SELECT MAX ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ADMISSION_LOCATION\" = \"TRSF WITHIN THIS FACILITY\" AND DEMOGRAPHIC.\"DIAGNOSIS\" = \"LIVER TRANSPLANT\"", "question_refine_tok": ["what", "is", "the", "maximum", "age", "of", "patients", "with", "admission", "location", "trsf", "within", "this", "facility", "and", "diagnosed", "with", "primary", "disease", "liver", "transplant", "?"], "sql_tok": ["SELECT", "MAX", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ADMISSION_LOCATION\"", "=", "\"TRSF", "WITHIN", "THIS", "FACILITY\"", "AND", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"LIVER", "TRANSPLANT\""]}
{"key": "fb202230fc6964d228bcf9449326fc46", "format": {"table": [0], "cond": [[0, 14, 0, "EMERGENCY ROOM ADMIT"], [0, 10, 0, 8]], "agg_col": [[0, 4]], "sel": 2}, "question_refine": "give the maximum age of patients admitted in the emergency room and their duration of hospital stay is 8 days.", "sql": "SELECT MAX ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ADMISSION_LOCATION\" = \"EMERGENCY ROOM ADMIT\" AND DEMOGRAPHIC.\"DAYS_STAY\" = \"8\"", "question_refine_tok": ["give", "the", "maximum", "age", "of", "patients", "admitted", "in", "the", "emergency", "room", "and", "their", "duration", "of", "hospital", "stay", "is", "8", "days", "."], "sql_tok": ["SELECT", "MAX", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ADMISSION_LOCATION\"", "=", "\"EMERGENCY", "ROOM", "ADMIT\"", "AND", "DEMOGRAPHIC.\"DAYS_STAY\"", "=", "\"8\""]}
{"key": "45363e40b4b9ce39842aa66dee31b113", "format": {"table": [0], "cond": [[0, 15, 0, "HOME"], [0, 16, 0, "BLADDER CANCER/SDA"]], "agg_col": [[0, 4]], "sel": 2}, "question_refine": "what is the maximum age of patients whose discharge location is home and primary disease is bladder cancer/sda?", "sql": "SELECT MAX ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DISCHARGE_LOCATION\" = \"HOME\" AND DEMOGRAPHIC.\"DIAGNOSIS\" = \"BLADDER CANCER/SDA\"", "question_refine_tok": ["what", "is", "the", "maximum", "age", "of", "patients", "whose", "discharge", "location", "is", "home", "and", "primary", "disease", "is", "bladder", "cancer", "/", "sda", "?"], "sql_tok": ["SELECT", "MAX", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DISCHARGE_LOCATION\"", "=", "\"HOME\"", "AND", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"BLADDER", "CANCER/SDA\""]}
{"key": "16b0c3efcab16b47b856d2e7682fe1a9", "format": {"table": [0], "cond": [[0, 15, 0, "HOME HEALTH CARE"], [0, 16, 0, "LEFT FEMUR FRACTURE"]], "agg_col": [[0, 4]], "sel": 2}, "question_refine": "what is the maximum age of patients who are discharged to home health care and primarily have left femur fracture?", "sql": "SELECT MAX ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DISCHARGE_LOCATION\" = \"HOME HEALTH CARE\" AND DEMOGRAPHIC.\"DIAGNOSIS\" = \"LEFT FEMUR FRACTURE\"", "question_refine_tok": ["what", "is", "the", "maximum", "age", "of", "patients", "who", "are", "discharged", "to", "home", "health", "care", "and", "primarily", "have", "left", "femur", "fracture", "?"], "sql_tok": ["SELECT", "MAX", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DISCHARGE_LOCATION\"", "=", "\"HOME", "HEALTH", "CARE\"", "AND", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"LEFT", "FEMUR", "FRACTURE\""]}
{"key": "7f68a5f146da4c55c3ca8c1b70694afc", "format": {"table": [0], "cond": [[0, 15, 0, "HOME HEALTH CARE"], [0, 16, 0, "ANGIOEDEMA"]], "agg_col": [[0, 4]], "sel": 4}, "question_refine": "find the average age of patients diagnosed with angiodema and their discharge location is home health care.", "sql": "SELECT AVG ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DISCHARGE_LOCATION\" = \"HOME HEALTH CARE\" AND DEMOGRAPHIC.\"DIAGNOSIS\" = \"ANGIOEDEMA\"", "question_refine_tok": ["find", "the", "average", "age", "of", "patients", "diagnosed", "with", "angiodema", "and", "their", "discharge", "location", "is", "home", "health", "care", "."], "sql_tok": ["SELECT", "AVG", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DISCHARGE_LOCATION\"", "=", "\"HOME", "HEALTH", "CARE\"", "AND", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"ANGIOEDEMA\""]}
{"key": "aa230296ed12ea2d317fe03d0a906ef5", "format": {"table": [0], "cond": [[0, 15, 0, "DISCH-TRAN TO PSYCH HOSP"], [0, 16, 0, "OVERDOSE"]], "agg_col": [[0, 4]], "sel": 2}, "question_refine": "calculate the maximum age of patients who had overdose as primary disease on discharge-transfer to psych hospital", "sql": "SELECT MAX ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DISCHARGE_LOCATION\" = \"DISCH-TRAN TO PSYCH HOSP\" AND DEMOGRAPHIC.\"DIAGNOSIS\" = \"OVERDOSE\"", "question_refine_tok": ["calculate", "the", "maximum", "age", "of", "patients", "who", "had", "overdose", "as", "primary", "disease", "on", "discharge", "-", "transfer", "to", "psych", "hospital"], "sql_tok": ["SELECT", "MAX", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DISCHARGE_LOCATION\"", "=", "\"DISCH-TRAN", "TO", "PSYCH", "HOSP\"", "AND", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"OVERDOSE\""]}
{"key": "f74c290d482c3b0961afe47d312a6c6f", "format": {"table": [0], "cond": [[0, 15, 0, "SHORT TERM HOSPITAL"], [0, 10, 0, 15]], "agg_col": [[0, 4]], "sel": 2}, "question_refine": "calculate the maximum age of patients who were hospitalized for 15 days and were discharged to skilled nursing facility.", "sql": "SELECT MAX ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DISCHARGE_LOCATION\" = \"SHORT TERM HOSPITAL\" AND DEMOGRAPHIC.\"DAYS_STAY\" = \"15\"", "question_refine_tok": ["calculate", "the", "maximum", "age", "of", "patients", "who", "were", "hospitalized", "for", "15", "days", "and", "were", "discharged", "to", "skilled", "nursing", "facility", "."], "sql_tok": ["SELECT", "MAX", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DISCHARGE_LOCATION\"", "=", "\"SHORT", "TERM", "HOSPITAL\"", "AND", "DEMOGRAPHIC.\"DAYS_STAY\"", "=", "\"15\""]}
{"key": "10cd6b8d58b6cd7aff2d59112b92348c", "format": {"table": [0], "cond": [[0, 15, 0, "SHORT TERM HOSPITAL"], [0, 10, 0, 17]], "agg_col": [[0, 4]], "sel": 2}, "question_refine": "what is the maximum age of patients whose discharge location is short term hospital and who have stayed in the hospital for 17 days?", "sql": "SELECT MAX ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DISCHARGE_LOCATION\" = \"SHORT TERM HOSPITAL\" AND DEMOGRAPHIC.\"DAYS_STAY\" = \"17\"", "question_refine_tok": ["what", "is", "the", "maximum", "age", "of", "patients", "whose", "discharge", "location", "is", "short", "term", "hospital", "and", "who", "have", "stayed", "in", "the", "hospital", "for", "17", "days", "?"], "sql_tok": ["SELECT", "MAX", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DISCHARGE_LOCATION\"", "=", "\"SHORT", "TERM", "HOSPITAL\"", "AND", "DEMOGRAPHIC.\"DAYS_STAY\"", "=", "\"17\""]}
{"key": "75456314b15dcab6e0ce9292d5efe6ae", "format": {"table": [0], "cond": [[0, 16, 0, "AORTIC INSUFFICIENCY\\RE-DO STERNOTOMY; AORTIC VALVE REPLACEMENT   "], [0, 10, 0, 20]], "agg_col": [[0, 4]], "sel": 3}, "question_refine": "what is the minimum age of patients who are diagnosed with primary disease aortic insufficiency\\re-do sternotomy; aortic valve replacement and stayed in hospital for 20 days?", "sql": "SELECT MIN ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"AORTIC INSUFFICIENCY\\RE-DO STERNOTOMY; AORTIC VALVE REPLACEMENT   \" AND DEMOGRAPHIC.\"DAYS_STAY\" = \"20\"", "question_refine_tok": ["what", "is", "the", "minimum", "age", "of", "patients", "who", "are", "diagnosed", "with", "primary", "disease", "aortic", "insufficiency\\re", "-", "do", "sternotomy", ";", "aortic", "valve", "replacement", "and", "stayed", "in", "hospital", "for", "20", "days", "?"], "sql_tok": ["SELECT", "MIN", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"AORTIC", "INSUFFICIENCY\\RE-DO", "STERNOTOMY;", "AORTIC", "VALVE", "REPLACEMENT", "", "", "\"", "AND", "DEMOGRAPHIC.\"DAYS_STAY\"", "=", "\"20\""]}
{"key": "3cb61c2d78f6ce5e61bc520b35501d63", "format": {"table": [0], "cond": [[0, 16, 0, "ST ELEVATED MYOCARDIAL INFARCTION\\CARDIAC CATH"], [0, 10, 0, 13]], "agg_col": [[0, 4]], "sel": 4}, "question_refine": "calculate the average age of patients who stayed in hospital for 13 days and have st elevated myocardial infarction/cardiac cath primary disease.", "sql": "SELECT AVG ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"ST ELEVATED MYOCARDIAL INFARCTION\\CARDIAC CATH\" AND DEMOGRAPHIC.\"DAYS_STAY\" = \"13\"", "question_refine_tok": ["calculate", "the", "average", "age", "of", "patients", "who", "stayed", "in", "hospital", "for", "13", "days", "and", "have", "st", "elevated", "myocardial", "infarction", "/", "cardiac", "cath", "primary", "disease", "."], "sql_tok": ["SELECT", "AVG", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"ST", "ELEVATED", "MYOCARDIAL", "INFARCTION\\CARDIAC", "CATH\"", "AND", "DEMOGRAPHIC.\"DAYS_STAY\"", "=", "\"13\""]}
{"key": "364ccb2009f614d048aaab22eba5f7d5", "format": {"table": [0], "cond": [[0, 16, 0, "ANGIOEDEMA"], [0, 10, 0, 8]], "agg_col": [[0, 4]], "sel": 3}, "question_refine": "calculate the miniumum age of patients with primary disease angioedema who were admitted for 8 days in hospital.", "sql": "SELECT MIN ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"ANGIOEDEMA\" AND DEMOGRAPHIC.\"DAYS_STAY\" = \"8\"", "question_refine_tok": ["calculate", "the", "miniumum", "age", "of", "patients", "with", "primary", "disease", "angioedema", "who", "were", "admitted", "for", "8", "days", "in", "hospital", "."], "sql_tok": ["SELECT", "MIN", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"ANGIOEDEMA\"", "AND", "DEMOGRAPHIC.\"DAYS_STAY\"", "=", "\"8\""]}
{"key": "237e91842a47eb60c823a5df5242f1eb", "format": {"table": [0], "cond": [[0, 16, 0, "PITUITARY BLEED"], [0, 10, 0, 29]], "agg_col": [[0, 4]], "sel": 4}, "question_refine": "find the average age of patients who had pituitary bleed and stayed in the hospital for 29 days.", "sql": "SELECT AVG ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"PITUITARY BLEED\" AND DEMOGRAPHIC.\"DAYS_STAY\" = \"29\"", "question_refine_tok": ["find", "the", "average", "age", "of", "patients", "who", "had", "pituitary", "bleed", "and", "stayed", "in", "the", "hospital", "for", "29", "days", "."], "sql_tok": ["SELECT", "AVG", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"PITUITARY", "BLEED\"", "AND", "DEMOGRAPHIC.\"DAYS_STAY\"", "=", "\"29\""]}
{"key": "516527954daccf0c3bd8e0e96ebf29e6", "format": {"table": [0], "cond": [[0, 16, 0, "NEWBORN"], [0, 19, 2, 2138.0]], "agg_col": [[0, 4]], "sel": 2}, "question_refine": "calculate the maximum age of patients with newborn primary disease who died before 2138.", "sql": "SELECT MAX ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"NEWBORN\" AND DEMOGRAPHIC.\"DOD_YEAR\" < \"2138.0\"", "question_refine_tok": ["calculate", "the", "maximum", "age", "of", "patients", "with", "newborn", "primary", "disease", "who", "died", "before", "2138", "."], "sql_tok": ["SELECT", "MAX", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"NEWBORN\"", "AND", "DEMOGRAPHIC.\"DOD_YEAR\"", "<", "\"2138.0\""]}
{"key": "9413c07c5e58f7ccf07fbd371da9eeca", "format": {"table": [0], "cond": [[0, 16, 0, "MORBID OBESITY/SDA"], [0, 22, 3, 2155]], "agg_col": [[0, 4]], "sel": 3}, "question_refine": "calculate the minimum age of patients suffering from morbid obesity/sda who were admitted on 2155 or after that.", "sql": "SELECT MIN ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"MORBID OBESITY/SDA\" AND DEMOGRAPHIC.\"ADMITYEAR\" >= \"2155\"", "question_refine_tok": ["calculate", "the", "minimum", "age", "of", "patients", "suffering", "from", "morbid", "obesity", "/", "sda", "who", "were", "admitted", "on", "2155", "or", "after", "that", "."], "sql_tok": ["SELECT", "MIN", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"MORBID", "OBESITY/SDA\"", "AND", "DEMOGRAPHIC.\"ADMITYEAR\"", ">=", "\"2155\""]}
{"key": "21cd0c675d4c10728974ff43cddb3e06", "format": {"table": [0], "cond": [[0, 16, 0, "NEOPLASM OF UNCERTAIN BEHAVIOR OF OTHER LYMPHATIC AND HEMATOPOIETIC TISSUES\\BONE MARROW TRANSPLANT"], [0, 22, 3, 2146]], "agg_col": [[0, 4]], "sel": 2}, "question_refine": "find the maximum age of patients admitted in or after the year 2146 and primarily diagnosed for neoplasm of uncertain behavior of other lymphatic and hematopoietic tissues\\bone marrow transplant.", "sql": "SELECT MAX ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"NEOPLASM OF UNCERTAIN BEHAVIOR OF OTHER LYMPHATIC AND HEMATOPOIETIC TISSUES\\BONE MARROW TRANSPLANT\" AND DEMOGRAPHIC.\"ADMITYEAR\" >= \"2146\"", "question_refine_tok": ["find", "the", "maximum", "age", "of", "patients", "admitted", "in", "or", "after", "the", "year", "2146", "and", "primarily", "diagnosed", "for", "neoplasm", "of", "uncertain", "behavior", "of", "other", "lymphatic", "and", "hematopoietic", "tissues\\bone", "marrow", "transplant", "."], "sql_tok": ["SELECT", "MAX", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"NEOPLASM", "OF", "UNCERTAIN", "BEHAVIOR", "OF", "OTHER", "LYMPHATIC", "AND", "HEMATOPOIETIC", "TISSUES\\BONE", "MARROW", "TRANSPLANT\"", "AND", "DEMOGRAPHIC.\"ADMITYEAR\"", ">=", "\"2146\""]}
{"key": "f21e9e8695a90352613140ab890d4977", "format": {"table": [0], "cond": [[0, 16, 0, "S/P FALL"], [0, 22, 3, 2119]], "agg_col": [[0, 4]], "sel": 3}, "question_refine": "calculate the minimum age of patients who were admitted in or after 2119 and had s/p fall primary disease.", "sql": "SELECT MIN ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"S/P FALL\" AND DEMOGRAPHIC.\"ADMITYEAR\" >= \"2119\"", "question_refine_tok": ["calculate", "the", "minimum", "age", "of", "patients", "who", "were", "admitted", "in", "or", "after", "2119", "and", "had", "s", "/", "p", "fall", "primary", "disease", "."], "sql_tok": ["SELECT", "MIN", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"S/P", "FALL\"", "AND", "DEMOGRAPHIC.\"ADMITYEAR\"", ">=", "\"2119\""]}
{"key": "1da9517a8843fcd5f1b767ce724c4786", "format": {"table": [0], "cond": [[0, 16, 0, "GANGRENE"], [0, 22, 3, 2164]], "agg_col": [[0, 4]], "sel": 4}, "question_refine": "what is the average age of patients diagnosed with primary disease gangrene and admitted in or after 2164?", "sql": "SELECT AVG ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"GANGRENE\" AND DEMOGRAPHIC.\"ADMITYEAR\" >= \"2164\"", "question_refine_tok": ["what", "is", "the", "average", "age", "of", "patients", "diagnosed", "with", "primary", "disease", "gangrene", "and", "admitted", "in", "or", "after", "2164", "?"], "sql_tok": ["SELECT", "AVG", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"GANGRENE\"", "AND", "DEMOGRAPHIC.\"ADMITYEAR\"", ">=", "\"2164\""]}
{"key": "f55c680a425435a273ee581491725c9c", "format": {"table": [0], "cond": [[0, 4, 3, 24], [0, 22, 3, 2176]], "agg_col": [[0, 4]], "sel": 4}, "question_refine": "find the average age of patients under the age of 24 who were admitted in or before the year 2176.", "sql": "SELECT AVG ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"AGE\" >= \"24\" AND DEMOGRAPHIC.\"ADMITYEAR\" >= \"2176\"", "question_refine_tok": ["find", "the", "average", "age", "of", "patients", "under", "the", "age", "of", "24", "who", "were", "admitted", "in", "or", "before", "the", "year", "2176", "."], "sql_tok": ["SELECT", "AVG", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"AGE\"", ">=", "\"24\"", "AND", "DEMOGRAPHIC.\"ADMITYEAR\"", ">=", "\"2176\""]}
{"key": "234afa1b2886c364c7244ee365b60c5a", "format": {"table": [0], "cond": [[0, 4, 3, 76], [0, 22, 3, 2173]], "agg_col": [[0, 4]], "sel": 4}, "question_refine": "what is the average age of patients in or above 76 years of age and admitted in or after the year 2173?", "sql": "SELECT AVG ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"AGE\" >= \"76\" AND DEMOGRAPHIC.\"ADMITYEAR\" >= \"2173\"", "question_refine_tok": ["what", "is", "the", "average", "age", "of", "patients", "in", "or", "above", "76", "years", "of", "age", "and", "admitted", "in", "or", "after", "the", "year", "2173", "?"], "sql_tok": ["SELECT", "AVG", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"AGE\"", ">=", "\"76\"", "AND", "DEMOGRAPHIC.\"ADMITYEAR\"", ">=", "\"2173\""]}
{"key": "6ca57c75539e45aabf198003d8b13256", "format": {"table": [0], "cond": [[0, 4, 3, 44], [0, 22, 3, 2197]], "agg_col": [[0, 4]], "sel": 4}, "question_refine": "calculate the average age of patients admitted on or after 2197 and are 44 years old or older than that.", "sql": "SELECT AVG ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"AGE\" >= \"44\" AND DEMOGRAPHIC.\"ADMITYEAR\" >= \"2197\"", "question_refine_tok": ["calculate", "the", "average", "age", "of", "patients", "admitted", "on", "or", "after", "2197", "and", "are", "44", "years", "old", "or", "older", "than", "that", "."], "sql_tok": ["SELECT", "AVG", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"AGE\"", ">=", "\"44\"", "AND", "DEMOGRAPHIC.\"ADMITYEAR\"", ">=", "\"2197\""]}
{"key": "092b913fe98d9f4700cdbce77c747a19", "format": {"table": [0], "cond": [[0, 10, 0, 43], [0, 22, 3, 2119]], "agg_col": [[0, 4]], "sel": 2}, "question_refine": "what is maximum age of patients who have stayed in the hospital for 43 days and who were admitted in or after year 2119?", "sql": "SELECT MAX ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DAYS_STAY\" = \"43\" AND DEMOGRAPHIC.\"ADMITYEAR\" >= \"2119\"", "question_refine_tok": ["what", "is", "maximum", "age", "of", "patients", "who", "have", "stayed", "in", "the", "hospital", "for", "43", "days", "and", "who", "were", "admitted", "in", "or", "after", "year", "2119", "?"], "sql_tok": ["SELECT", "MAX", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DAYS_STAY\"", "=", "\"43\"", "AND", "DEMOGRAPHIC.\"ADMITYEAR\"", ">=", "\"2119\""]}
{"key": "5125a7076c6f29c1ffd4959f1a69afc6", "format": {"table": [0], "cond": [[0, 10, 0, 34], [0, 22, 3, 2187]], "agg_col": [[0, 4]], "sel": 2}, "question_refine": "specify the maximum age of such patients who were admitted to hospital in the year more than or equal to 2187 and stayed for 34 days", "sql": "SELECT MAX ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DAYS_STAY\" = \"34\" AND DEMOGRAPHIC.\"ADMITYEAR\" >= \"2187\"", "question_refine_tok": ["specify", "the", "maximum", "age", "of", "such", "patients", "who", "were", "admitted", "to", "hospital", "in", "the", "year", "more", "than", "or", "equal", "to", "2187", "and", "stayed", "for", "34", "days"], "sql_tok": ["SELECT", "MAX", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DAYS_STAY\"", "=", "\"34\"", "AND", "DEMOGRAPHIC.\"ADMITYEAR\"", ">=", "\"2187\""]}