1001 lines (1000 with data), 821.4 kB

{"key": "8579496fc9a93fcc121b47dfd03cd9a3", "format": {"table": [0], "cond": [[0, 18, 2, 2060]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients were born before the year 2060?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DOB_YEAR\" < \"2060\"", "question_refine_tok": ["how", "many", "patients", "were", "born", "before", "the", "year", "2060", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DOB_YEAR\"", "<", "\"2060\""]}
{"key": "8ef884f5ab354b39fa29558e7dbe5606", "format": {"table": [0, 1], "cond": [[1, 2, 0, "53190"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients had the diagnosis icd9 code 53190?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DIAGNOSES.\"ICD9_CODE\" = \"53190\"", "question_refine_tok": ["how", "many", "patients", "had", "the", "diagnosis", "icd9", "code", "53190", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DIAGNOSES.\"ICD9_CODE\"", "=", "\"53190\""]}
{"key": "a5fd6085c174de907250cf4840601a22", "format": {"table": [0, 1], "cond": [[1, 2, 0, "9951"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "let me know the number of patients who have diagnosis icd9 code 9951.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DIAGNOSES.\"ICD9_CODE\" = \"9951\"", "question_refine_tok": ["let", "me", "know", "the", "number", "of", "patients", "who", "have", "diagnosis", "icd9", "code", "9951", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DIAGNOSES.\"ICD9_CODE\"", "=", "\"9951\""]}
{"key": "a030ada88d94f5f9ef48362a97aa413d", "format": {"table": [0, 1], "cond": [[1, 3, 0, "Crnry athrscl natve vssl"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the total number of patiemts who had crnry athrscl natve vssl?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DIAGNOSES.\"SHORT_TITLE\" = \"Crnry athrscl natve vssl\"", "question_refine_tok": ["what", "is", "the", "total", "number", "of", "patiemts", "who", "had", "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", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"Crnry", "athrscl", "natve", "vssl\""]}
{"key": "a56ed1d77f9cf8150b6a9151dabac4bf", "format": {"table": [0, 1], "cond": [[1, 3, 0, "Tobacco use disorder"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "give me the number of patients who have been diagnosed with tobacco use disorder.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DIAGNOSES.\"SHORT_TITLE\" = \"Tobacco use disorder\"", "question_refine_tok": ["give", "me", "the", "number", "of", "patients", "who", "have", "been", "diagnosed", "with", "tobacco", "use", "disorder", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"Tobacco", "use", "disorder\""]}
{"key": "80d30178f68e2492cc13d95f53b2ffaa", "format": {"table": [0, 1], "cond": [[1, 3, 0, "Retain plastic fragments"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of patients whose diagnosis short title is retain plastic fragments.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DIAGNOSES.\"SHORT_TITLE\" = \"Retain plastic fragments\"", "question_refine_tok": ["count", "the", "number", "of", "patients", "whose", "diagnosis", "short", "title", "is", "retain", "plastic", "fragments", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"Retain", "plastic", "fragments\""]}
{"key": "80493e9bb6cabefb1d4a01cb9851ea70", "format": {"table": [0, 1], "cond": [[1, 3, 0, "Chordae tendinae rupture"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "provide me the number of patients who have been diagnosed with chordae tendinae rupture.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DIAGNOSES.\"SHORT_TITLE\" = \"Chordae tendinae rupture\"", "question_refine_tok": ["provide", "me", "the", "number", "of", "patients", "who", "have", "been", "diagnosed", "with", "chordae", "tendinae", "rupture", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"Chordae", "tendinae", "rupture\""]}
{"key": "0b323ac6dda39e3588c51d5acb16b4fc", "format": {"table": [0, 1], "cond": [[1, 4, 0, "Hemorrhage complicating a procedure"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many of the patients had hemorrhage complicating a procedure?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DIAGNOSES.\"LONG_TITLE\" = \"Hemorrhage complicating a procedure\"", "question_refine_tok": ["how", "many", "of", "the", "patients", "had", "hemorrhage", "complicating", "a", "procedure", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DIAGNOSES.\"LONG_TITLE\"", "=", "\"Hemorrhage", "complicating", "a", "procedure\""]}
{"key": "bb1f244e6a3ef486f168b21b2c86e93d", "format": {"table": [0, 1], "cond": [[1, 4, 0, "Mitral valve disorders"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "find the number of patients diagnosed with mitral valve disorders.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DIAGNOSES.\"LONG_TITLE\" = \"Mitral valve disorders\"", "question_refine_tok": ["find", "the", "number", "of", "patients", "diagnosed", "with", "mitral", "valve", "disorders", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DIAGNOSES.\"LONG_TITLE\"", "=", "\"Mitral", "valve", "disorders\""]}
{"key": "ac68bab7e7f4cd79ac543b18d76d24d3", "format": {"table": [0, 2], "cond": [[2, 2, 0, 5771]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "calulate the total number of patient who had icd9 code 5771", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE PROCEDURES.\"ICD9_CODE\" = \"5771\"", "question_refine_tok": ["calulate", "the", "total", "number", "of", "patient", "who", "had", "icd9", "code", "5771"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "PROCEDURES.\"ICD9_CODE\"", "=", "\"5771\""]}
{"key": "0356aee9e4219b42d469d4adb3bf0729", "format": {"table": [0, 2], "cond": [[2, 2, 0, 8848]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "provide the number of patients whose procedure icd9 code is 8848.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE PROCEDURES.\"ICD9_CODE\" = \"8848\"", "question_refine_tok": ["provide", "the", "number", "of", "patients", "whose", "procedure", "icd9", "code", "is", "8848", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "PROCEDURES.\"ICD9_CODE\"", "=", "\"8848\""]}
{"key": "0a61c544738a373b8324d8335031a7c6", "format": {"table": [0, 2], "cond": [[2, 3, 0, "Radiotherapeut proc NEC"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "calculate the total number of patients who had radiotherapeut proc nec", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE PROCEDURES.\"SHORT_TITLE\" = \"Radiotherapeut proc NEC\"", "question_refine_tok": ["calculate", "the", "total", "number", "of", "patients", "who", "had", "radiotherapeut", "proc", "nec"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "PROCEDURES.\"SHORT_TITLE\"", "=", "\"Radiotherapeut", "proc", "NEC\""]}
{"key": "adce510d770aef3a1b9e9014e766798c", "format": {"table": [0, 2], "cond": [[2, 3, 0, "1 int mam-cor art bypass"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "give me the number of patients who had single internal mammary-coronary artery bypass.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE PROCEDURES.\"SHORT_TITLE\" = \"1 int mam-cor art bypass\"", "question_refine_tok": ["give", "me", "the", "number", "of", "patients", "who", "had", "single", "internal", "mammary", "-", "coronary", "artery", "bypass", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "PROCEDURES.\"SHORT_TITLE\"", "=", "\"1", "int", "mam-cor", "art", "bypass\""]}
{"key": "bb120bab7f84d17e1af739be0525fd30", "format": {"table": [0, 3], "cond": [[3, 4, 0, "Zyrtec"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients uses the drug zyrtec?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE PRESCRIPTIONS.\"DRUG\" = \"Zyrtec\"", "question_refine_tok": ["how", "many", "patients", "uses", "the", "drug", "zyrtec", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "PRESCRIPTIONS.\"DRUG\"", "=", "\"Zyrtec\""]}
{"key": "9599d62908a1ba42d4b04b1abcdbe094", "format": {"table": [0, 3], "cond": [[3, 4, 0, "DiphenhydrAMINE"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients have diphenhydramine prescription?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE PRESCRIPTIONS.\"DRUG\" = \"DiphenhydrAMINE\"", "question_refine_tok": ["how", "many", "patients", "have", "diphenhydramine", "prescription", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "PRESCRIPTIONS.\"DRUG\"", "=", "\"DiphenhydrAMINE\""]}
{"key": "a923f3ce780d550018dd0df1f1e55570", "format": {"table": [0, 3], "cond": [[3, 4, 0, "Oxycodone SR (OxyconTIN)"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what number of patients were given the drug oxycodone sr (oxycontin)?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE PRESCRIPTIONS.\"DRUG\" = \"Oxycodone SR (OxyconTIN)\"", "question_refine_tok": ["what", "number", "of", "patients", "were", "given", "the", "drug", "oxycodone", "sr", "(", "oxycontin", ")", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "PRESCRIPTIONS.\"DRUG\"", "=", "\"Oxycodone", "SR", "(OxyconTIN)\""]}
{"key": "ba1d361e366b1ec723817cb2a1011859", "format": {"table": [0, 3], "cond": [[3, 4, 0, "Syringe (Neonatal)"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients have been prescribed the drug syringe (neonatal)?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE PRESCRIPTIONS.\"DRUG\" = \"Syringe (Neonatal)\"", "question_refine_tok": ["how", "many", "patients", "have", "been", "prescribed", "the", "drug", "syringe", "(", "neonatal", ")", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "PRESCRIPTIONS.\"DRUG\"", "=", "\"Syringe", "(Neonatal)\""]}
{"key": "9057aad89e8f66541aadbb45ad8f4747", "format": {"table": [0, 3], "cond": [[3, 4, 0, "Bethanechol"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "which patients are on bethanechol prescription?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE PRESCRIPTIONS.\"DRUG\" = \"Bethanechol\"", "question_refine_tok": ["which", "patients", "are", "on", "bethanechol", "prescription", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "PRESCRIPTIONS.\"DRUG\"", "=", "\"Bethanechol\""]}
{"key": "04e471a143d212d6e201d787eea68d7d", "format": {"table": [0, 3], "cond": [[3, 4, 0, "Caspofungin"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients used the drug name capso fungin?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE PRESCRIPTIONS.\"DRUG\" = \"Caspofungin\"", "question_refine_tok": ["how", "many", "patients", "used", "the", "drug", "name", "capso", "fungin", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "PRESCRIPTIONS.\"DRUG\"", "=", "\"Caspofungin\""]}
{"key": "08e84aa74e5e3adb7969241939f3af64", "format": {"table": [0, 3], "cond": [[3, 5, 0, "ERGO400T"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of patients who were prescribed the drug with code ergo400t? ", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE PRESCRIPTIONS.\"FORMULARY_DRUG_CD\" = \"ERGO400T\"", "question_refine_tok": ["what", "is", "the", "number", "of", "patients", "who", "were", "prescribed", "the", "drug", "with", "code", "ergo400", "t", "?"], "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\"", "=", "\"ERGO400T\""]}
{"key": "8c6bcade1f9fdf7786a7a64151da5b73", "format": {"table": [0, 3], "cond": [[3, 5, 0, "HEPA10SYR"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients uses the drug code hepa10syr?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE PRESCRIPTIONS.\"FORMULARY_DRUG_CD\" = \"HEPA10SYR\"", "question_refine_tok": ["how", "many", "patients", "uses", "the", "drug", "code", "hepa10syr", "?"], "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\"", "=", "\"HEPA10SYR\""]}
{"key": "0eae72d2c42207e67c86012d0be36650", "format": {"table": [0, 4], "cond": [[4, 2, 0, 50817]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients have lab test item id 50817?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE LAB.\"ITEMID\" = \"50817\"", "question_refine_tok": ["how", "many", "patients", "have", "lab", "test", "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", "LAB.\"ITEMID\"", "=", "\"50817\""]}
{"key": "93afecdf36b6ce7b81f6d82625a068fb", "format": {"table": [0, 4], "cond": [[4, 2, 0, 50953]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "which patients have lab test item id 50953?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE LAB.\"ITEMID\" = \"50953\"", "question_refine_tok": ["which", "patients", "have", "lab", "test", "item", "i", "d", "50953", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "LAB.\"ITEMID\"", "=", "\"50953\""]}
{"key": "0bc7d1325aa939738ec24177f53a0fd4", "format": {"table": [0], "cond": [[0, 3, 0, "MARRIED"], [0, 18, 2, 2064]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many of the married patients were born in the year less than 2064", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"MARITAL_STATUS\" = \"MARRIED\" AND DEMOGRAPHIC.\"DOB_YEAR\" < \"2064\"", "question_refine_tok": ["how", "many", "of", "the", "married", "patients", "were", "born", "in", "the", "year", "less", "than", "2064"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"MARITAL_STATUS\"", "=", "\"MARRIED\"", "AND", "DEMOGRAPHIC.\"DOB_YEAR\"", "<", "\"2064\""]}
{"key": "103c53116811183189bbac6240b1c38e", "format": {"table": [0], "cond": [[0, 3, 0, "MARRIED"], [0, 19, 4, 2165.0]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many married patients died in or before 2165?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"MARITAL_STATUS\" = \"MARRIED\" AND DEMOGRAPHIC.\"DOD_YEAR\" <= \"2165.0\"", "question_refine_tok": ["how", "many", "married", "patients", "died", "in", "or", "before", "2165", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"MARITAL_STATUS\"", "=", "\"MARRIED\"", "AND", "DEMOGRAPHIC.\"DOD_YEAR\"", "<=", "\"2165.0\""]}
{"key": "87f0df33656ad30a1df51ab8f9d3d7b4", "format": {"table": [0, 1], "cond": [[0, 3, 0, "MARRIED"], [1, 4, 0, "Other convulsions"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what number of married patients suffered from other convulsions?", "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\" = \"Other convulsions\"", "question_refine_tok": ["what", "number", "of", "married", "patients", "suffered", "from", "other", "convulsions", "?"], "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\"", "=", "\"Other", "convulsions\""]}
{"key": "0149a04bfc4bbf58198b7cc5bd248ad1", "format": {"table": [0, 1], "cond": [[0, 3, 0, "SINGLE"], [1, 4, 0, "Portal hypertension"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients marital status single had a diagnosis long title protal hypertension?", "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\" = \"Portal hypertension\"", "question_refine_tok": ["how", "many", "patients", "marital", "status", "single", "had", "a", "diagnosis", "long", "title", "protal", "hypertension", "?"], "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\"", "=", "\"Portal", "hypertension\""]}
{"key": "acc18041b791fa3f2145584de2f52fa2", "format": {"table": [0, 2], "cond": [[0, 3, 0, "MARRIED"], [2, 3, 0, "Radiotherapeut proc NEC"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what number of married patients underwent the procedure titled radiotherapeut proc nec?", "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\" = \"Radiotherapeut proc NEC\"", "question_refine_tok": ["what", "number", "of", "married", "patients", "underwent", "the", "procedure", "titled", "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.\"MARITAL_STATUS\"", "=", "\"MARRIED\"", "AND", "PROCEDURES.\"SHORT_TITLE\"", "=", "\"Radiotherapeut", "proc", "NEC\""]}
{"key": "0ba1f09761ef0b9798676d7a93899e8b", "format": {"table": [0, 2], "cond": [[0, 3, 0, "MARRIED"], [2, 3, 0, "Ins drug-elut coronry st"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "get the number of married patients who had insertion of 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.\"MARITAL_STATUS\" = \"MARRIED\" AND PROCEDURES.\"SHORT_TITLE\" = \"Ins drug-elut coronry st\"", "question_refine_tok": ["get", "the", "number", "of", "married", "patients", "who", "had", "insertion", "of", "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.\"MARITAL_STATUS\"", "=", "\"MARRIED\"", "AND", "PROCEDURES.\"SHORT_TITLE\"", "=", "\"Ins", "drug-elut", "coronry", "st\""]}
{"key": "079fc93fe997ed5c22fbe560d68ebb31", "format": {"table": [0], "cond": [[0, 6, 0, "F"], [0, 18, 2, 2197]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "find the number of female patients whose year of birth is before 2197.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"GENDER\" = \"F\" AND DEMOGRAPHIC.\"DOB_YEAR\" < \"2197\"", "question_refine_tok": ["find", "the", "number", "of", "female", "patients", "whose", "year", "of", "birth", "is", "before", "2197", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"GENDER\"", "=", "\"F\"", "AND", "DEMOGRAPHIC.\"DOB_YEAR\"", "<", "\"2197\""]}
{"key": "09bcb63460706eb5e0799aa702c1c7e3", "format": {"table": [0, 1], "cond": [[0, 6, 0, "M"], [1, 2, 0, "25002"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "provide me with the number of male patients who had diagnosis icd9 code 25002.", "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\" = \"25002\"", "question_refine_tok": ["provide", "me", "with", "the", "number", "of", "male", "patients", "who", "had", "diagnosis", "icd9", "code", "25002", "."], "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\"", "=", "\"25002\""]}
{"key": "107ad04abc71c4c4fe456c0df5415253", "format": {"table": [0, 1], "cond": [[0, 6, 0, "F"], [1, 3, 0, "Bacteremia"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many female patients had the diagnosis short title bacteremia?", "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\" = \"Bacteremia\"", "question_refine_tok": ["how", "many", "female", "patients", "had", "the", "diagnosis", "short", "title", "bacteremia", "?"], "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\"", "=", "\"Bacteremia\""]}
{"key": "a5cc6a0d4db1e239abdee050cabc3798", "format": {"table": [0, 1], "cond": [[0, 6, 0, "F"], [1, 3, 0, "Lap surg convert to open"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "find the number of female patients whose diagnoses is titled lap surg convert to open.", "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\" = \"Lap surg convert to open\"", "question_refine_tok": ["find", "the", "number", "of", "female", "patients", "whose", "diagnoses", "is", "titled", "lap", "surg", "convert", "to", "open", "."], "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\"", "=", "\"Lap", "surg", "convert", "to", "open\""]}
{"key": "83ec356d7434ad2b1a3ff520127d3ce8", "format": {"table": [0, 1], "cond": [[0, 6, 0, "F"], [1, 4, 0, "Constipation, unspecified"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many female patients are diagnosed with unspecified constipation?", "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\" = \"Constipation, unspecified\"", "question_refine_tok": ["how", "many", "female", "patients", "are", "diagnosed", "with", "unspecified", "constipation", "?"], "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\"", "=", "\"Constipation,", "unspecified\""]}
{"key": "a95ae3ec84a4478fe2ba16078b12904a", "format": {"table": [0, 2], "cond": [[0, 6, 0, "F"], [2, 2, 0, 3727]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "find the female patients who have procedure icd9 code 3727.", "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.\"ICD9_CODE\" = \"3727\"", "question_refine_tok": ["find", "the", "female", "patients", "who", "have", "procedure", "icd9", "code", "3727", "."], "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.\"ICD9_CODE\"", "=", "\"3727\""]}
{"key": "a81dae5ff42498734e857c5b7dc46deb", "format": {"table": [0, 2], "cond": [[0, 6, 0, "F"], [2, 3, 0, "Abdomen artery incision"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many female patients underwent the procedure of abdomen artery incision?", "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.\"SHORT_TITLE\" = \"Abdomen artery incision\"", "question_refine_tok": ["how", "many", "female", "patients", "underwent", "the", "procedure", "of", "abdomen", "artery", "incision", "?"], "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.\"SHORT_TITLE\"", "=", "\"Abdomen", "artery", "incision\""]}
{"key": "a73aa7de83493b191fbc445d5a71523b", "format": {"table": [0, 3], "cond": [[0, 6, 0, "M"], [3, 5, 0, "MEPE50I"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many male patients had the drug code mepe50i?", "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\" = \"MEPE50I\"", "question_refine_tok": ["how", "many", "male", "patients", "had", "the", "drug", "code", "mepe50i", "?"], "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\"", "=", "\"MEPE50I\""]}
{"key": "85458bc20e32da11c87969332a42276f", "format": {"table": [0, 3], "cond": [[0, 6, 0, "M"], [3, 5, 0, "LIPID250I"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many male patients had the drug code lipid250i?", "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\" = \"LIPID250I\"", "question_refine_tok": ["how", "many", "male", "patients", "had", "the", "drug", "code", "lipid250i", "?"], "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\"", "=", "\"LIPID250I\""]}
{"key": "0cc42c38501862128c59ef2444eaea0e", "format": {"table": [0, 4], "cond": [[0, 6, 0, "M"], [4, 6, 0, "Ferritin"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many male patients have undergone the lab test for ferritin?", "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.\"LABEL\" = \"Ferritin\"", "question_refine_tok": ["how", "many", "male", "patients", "have", "undergone", "the", "lab", "test", "for", "ferritin", "?"], "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.\"LABEL\"", "=", "\"Ferritin\""]}
{"key": "a819a3814f2f34b5124ec8353cbf07f0", "format": {"table": [0], "cond": [[0, 7, 0, "PORT"], [0, 4, 2, 45]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients aged less than 45 years speak the language port?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"LANGUAGE\" = \"PORT\" AND DEMOGRAPHIC.\"AGE\" < \"45\"", "question_refine_tok": ["how", "many", "patients", "aged", "less", "than", "45", "years", "speak", "the", "language", "port", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"LANGUAGE\"", "=", "\"PORT\"", "AND", "DEMOGRAPHIC.\"AGE\"", "<", "\"45\""]}
{"key": "9391ab36c2bddfe0cf474a3d26392232", "format": {"table": [0, 1], "cond": [[0, 7, 0, "RUSS"], [1, 3, 0, "Proteus infection NOS"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "find the number of russian speaking patients who are 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.\"LANGUAGE\" = \"RUSS\" AND DIAGNOSES.\"SHORT_TITLE\" = \"Proteus infection NOS\"", "question_refine_tok": ["find", "the", "number", "of", "russian", "speaking", "patients", "who", "are", "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.\"LANGUAGE\"", "=", "\"RUSS\"", "AND", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"Proteus", "infection", "NOS\""]}
{"key": "0db846be36da67fce1f489804cad086f", "format": {"table": [0], "cond": [[0, 8, 0, "JEHOVAH'S WITNESS"], [0, 4, 2, 71]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "get the number of jehovah's witness religious background patients who are less than 71 years of age.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"RELIGION\" = \"JEHOVAH'S WITNESS\" AND DEMOGRAPHIC.\"AGE\" < \"71\"", "question_refine_tok": ["get", "the", "number", "of", "jehovah", "'s", "witness", "religious", "background", "patients", "who", "are", "less", "than", "71", "years", "of", "age", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"RELIGION\"", "=", "\"JEHOVAH'S", "WITNESS\"", "AND", "DEMOGRAPHIC.\"AGE\"", "<", "\"71\""]}
{"key": "ae1e928c2c207060f138688ce4abb351", "format": {"table": [0, 1], "cond": [[0, 8, 0, "PROTESTANT QUAKER"], [1, 3, 0, "Pressure ulcer, stage I"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients follows protestant quaker religion and diagnosed with pressure ulcer, stage i?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"RELIGION\" = \"PROTESTANT QUAKER\" AND DIAGNOSES.\"SHORT_TITLE\" = \"Pressure ulcer, stage I\"", "question_refine_tok": ["how", "many", "patients", "follows", "protestant", "quaker", "religion", "and", "diagnosed", "with", "pressure", "ulcer", ",", "stage", "i", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"RELIGION\"", "=", "\"PROTESTANT", "QUAKER\"", "AND", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"Pressure", "ulcer,", "stage", "I\""]}
{"key": "035d34423915656ea2221529022d86c5", "format": {"table": [0], "cond": [[0, 9, 0, "ELECTIVE"], [0, 22, 2, 2135]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "give me the number of patients admitted before the year 2135 who had elective admission.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ADMISSION_TYPE\" = \"ELECTIVE\" AND DEMOGRAPHIC.\"ADMITYEAR\" < \"2135\"", "question_refine_tok": ["give", "me", "the", "number", "of", "patients", "admitted", "before", "the", "year", "2135", "who", "had", "elective", "admission", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ADMISSION_TYPE\"", "=", "\"ELECTIVE\"", "AND", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2135\""]}
{"key": "80cf621c35042d6d096cdaeab1b5b902", "format": {"table": [0], "cond": [[0, 9, 0, "NEWBORN"], [0, 22, 2, 2177]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "show the number of admissions before the year 2177 whose admission type is newborn.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ADMISSION_TYPE\" = \"NEWBORN\" AND DEMOGRAPHIC.\"ADMITYEAR\" < \"2177\"", "question_refine_tok": ["show", "the", "number", "of", "admissions", "before", "the", "year", "2177", "whose", "admission", "type", "is", "newborn", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ADMISSION_TYPE\"", "=", "\"NEWBORN\"", "AND", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2177\""]}
{"key": "8301ca160becb385bbe5a62015fc5921", "format": {"table": [0, 1], "cond": [[0, 9, 0, "EMERGENCY"], [1, 2, 0, "40391"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "give the number of patients whose admission type is emergency and diagnosis icd9 code is 40391.", "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.\"ICD9_CODE\" = \"40391\"", "question_refine_tok": ["give", "the", "number", "of", "patients", "whose", "admission", "type", "is", "emergency", "and", "diagnosis", "icd9", "code", "is", "40391", "."], "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.\"ICD9_CODE\"", "=", "\"40391\""]}
{"key": "05ba071627d319e108fbf4c830334200", "format": {"table": [0, 1], "cond": [[0, 9, 0, "EMERGENCY"], [1, 2, 0, "2763"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients with an emergency admission type had the diagnosis icd9 code 2763?", "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.\"ICD9_CODE\" = \"2763\"", "question_refine_tok": ["how", "many", "patients", "with", "an", "emergency", "admission", "type", "had", "the", "diagnosis", "icd9", "code", "2763", "?"], "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.\"ICD9_CODE\"", "=", "\"2763\""]}
{"key": "86de234b4ea86613c4fd4865e6be4b05", "format": {"table": [0, 1], "cond": [[0, 9, 0, "EMERGENCY"], [1, 2, 0, "56210"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients with an emergency admission type had the diagnosis icd9 code 56210?", "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.\"ICD9_CODE\" = \"56210\"", "question_refine_tok": ["how", "many", "patients", "with", "an", "emergency", "admission", "type", "had", "the", "diagnosis", "icd9", "code", "56210", "?"], "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.\"ICD9_CODE\"", "=", "\"56210\""]}
{"key": "01a951685204b898d99630d8b079ffd9", "format": {"table": [0, 1], "cond": [[0, 9, 0, "ELECTIVE"], [1, 4, 0, "Drug induced neutropenia"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of patients with admission type elective and diagnosed with drug induced neutropenia?", "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\" = \"Drug induced neutropenia\"", "question_refine_tok": ["what", "is", "the", "number", "of", "patients", "with", "admission", "type", "elective", "and", "diagnosed", "with", "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.\"ADMISSION_TYPE\"", "=", "\"ELECTIVE\"", "AND", "DIAGNOSES.\"LONG_TITLE\"", "=", "\"Drug", "induced", "neutropenia\""]}
{"key": "a6b131aab0d840f347b9ad994e7744db", "format": {"table": [0, 2], "cond": [[0, 9, 0, "ELECTIVE"], [2, 2, 0, 252]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients are with elective admission type and with procedure icd9 code 252?", "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\" = \"252\"", "question_refine_tok": ["how", "many", "patients", "are", "with", "elective", "admission", "type", "and", "with", "procedure", "icd9", "code", "252", "?"], "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\"", "=", "\"252\""]}
{"key": "04b3c1d2e1694aabd62095b2d46a67f5", "format": {"table": [0, 2], "cond": [[0, 9, 0, "ELECTIVE"], [2, 3, 0, "Unilat rad neck dissect"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "look for the number of elective hospital admission patients who underwent the procedure with ahort title unilat rad neck dissect.", "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.\"SHORT_TITLE\" = \"Unilat rad neck dissect\"", "question_refine_tok": ["look", "for", "the", "number", "of", "elective", "hospital", "admission", "patients", "who", "underwent", "the", "procedure", "with", "ahort", "title", "unilat", "rad", "neck", "dissect", "."], "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.\"SHORT_TITLE\"", "=", "\"Unilat", "rad", "neck", "dissect\""]}
{"key": "89878ec7ea816d9b35addf46468da048", "format": {"table": [0, 2], "cond": [[0, 9, 0, "EMERGENCY"], [2, 3, 0, "Cont inv mec ven 96+ hrs"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "look for the number of emergency hospital admitted patients who had cont inv mec ven 96+ hrs as short title of procedure .", "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\" = \"Cont inv mec ven 96+ hrs\"", "question_refine_tok": ["look", "for", "the", "number", "of", "emergency", "hospital", "admitted", "patients", "who", "had", "cont", "inv", "mec", "ven", "96", "+", "hrs", "as", "short", "title", "of", "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\"", "=", "\"EMERGENCY\"", "AND", "PROCEDURES.\"SHORT_TITLE\"", "=", "\"Cont", "inv", "mec", "ven", "96+", "hrs\""]}
{"key": "844c051a7fc31f50e5125392d2710bb8", "format": {"table": [0, 3], "cond": [[0, 9, 0, "EMERGENCY"], [3, 4, 0, "Timolol Maleate 0.5%"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "give me the number of patients admitted on an emergency basis who had prescription for timolol maleate 0.5%.", "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\" = \"Timolol Maleate 0.5%\"", "question_refine_tok": ["give", "me", "the", "number", "of", "patients", "admitted", "on", "an", "emergency", "basis", "who", "had", "prescription", "for", "timolol", "maleate", "0.5", "%", "."], "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\"", "=", "\"Timolol", "Maleate", "0.5%\""]}
{"key": "9193bc2c5d90be4e199fc6a421133f88", "format": {"table": [0, 4], "cond": [[0, 9, 0, "EMERGENCY"], [4, 6, 0, "LD, Body Fluid"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "calculate the number of patients admitted to emergency who had ld, body fluid test by lab", "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\" = \"LD, Body Fluid\"", "question_refine_tok": ["calculate", "the", "number", "of", "patients", "admitted", "to", "emergency", "who", "had", "ld", ",", "body", "fluid", "test", "by", "lab"], "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\"", "=", "\"LD,", "Body", "Fluid\""]}
{"key": "9e2bb2a0d86e0e587fb393ad10311fbd", "format": {"table": [0, 4], "cond": [[0, 9, 0, "EMERGENCY"], [4, 6, 0, "Reticulocyte Count, Manual"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of emergency hospital admission patients who had manual reticulocyte count 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\" = \"EMERGENCY\" AND LAB.\"LABEL\" = \"Reticulocyte Count, Manual\"", "question_refine_tok": ["what", "is", "the", "number", "of", "emergency", "hospital", "admission", "patients", "who", "had", "manual", "reticulocyte", "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.\"ADMISSION_TYPE\"", "=", "\"EMERGENCY\"", "AND", "LAB.\"LABEL\"", "=", "\"Reticulocyte", "Count,", "Manual\""]}
{"key": "0bd77a0aa119fff1491ad47e43c104cb", "format": {"table": [0], "cond": [[0, 11, 0, "Self Pay"], [0, 4, 2, 74]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of patients under the age of 74 whose insurance is self pay.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"INSURANCE\" = \"Self Pay\" AND DEMOGRAPHIC.\"AGE\" < \"74\"", "question_refine_tok": ["count", "the", "number", "of", "patients", "under", "the", "age", "of", "74", "whose", "insurance", "is", "self", "pay", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"INSURANCE\"", "=", "\"Self", "Pay\"", "AND", "DEMOGRAPHIC.\"AGE\"", "<", "\"74\""]}
{"key": "025ce5d0a492bc418ed5e2d467822479", "format": {"table": [0], "cond": [[0, 11, 0, "Medicare"], [0, 18, 2, 2104]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of patients who were born before 2104 and have medicare insurance .", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"INSURANCE\" = \"Medicare\" AND DEMOGRAPHIC.\"DOB_YEAR\" < \"2104\"", "question_refine_tok": ["count", "the", "number", "of", "patients", "who", "were", "born", "before", "2104", "and", "have", "medicare", "insurance", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"INSURANCE\"", "=", "\"Medicare\"", "AND", "DEMOGRAPHIC.\"DOB_YEAR\"", "<", "\"2104\""]}
{"key": "8745cad27000303a093d0dd8dafeeb7b", "format": {"table": [0], "cond": [[0, 11, 0, "Medicare"], [0, 22, 2, 2187]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients are with medicare insurance and admitted before 2187?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"INSURANCE\" = \"Medicare\" AND DEMOGRAPHIC.\"ADMITYEAR\" < \"2187\"", "question_refine_tok": ["how", "many", "patients", "are", "with", "medicare", "insurance", "and", "admitted", "before", "2187", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"INSURANCE\"", "=", "\"Medicare\"", "AND", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2187\""]}
{"key": "0e41987fae64a3292dbb83fe18b6d6eb", "format": {"table": [0], "cond": [[0, 11, 0, "Medicare"], [0, 22, 2, 2154]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "find the number of patients admitted before the year 2154 who had medicare insurance.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"INSURANCE\" = \"Medicare\" AND DEMOGRAPHIC.\"ADMITYEAR\" < \"2154\"", "question_refine_tok": ["find", "the", "number", "of", "patients", "admitted", "before", "the", "year", "2154", "who", "had", "medicare", "insurance", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"INSURANCE\"", "=", "\"Medicare\"", "AND", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2154\""]}
{"key": "936aa04d2d6d3b1065c9100730171751", "format": {"table": [0], "cond": [[0, 12, 0, "WHITE"], [0, 16, 0, "BRADYCARDIA"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many white patients had the primary disease bradycardia?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ETHNICITY\" = \"WHITE\" AND DEMOGRAPHIC.\"DIAGNOSIS\" = \"BRADYCARDIA\"", "question_refine_tok": ["how", "many", "white", "patients", "had", "the", "primary", "disease", "bradycardia", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ETHNICITY\"", "=", "\"WHITE\"", "AND", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"BRADYCARDIA\""]}
{"key": "01443480ca76e4369b245ea13b9f1df1", "format": {"table": [0], "cond": [[0, 12, 0, "AMERICAN INDIAN/ALASKA NATIVE"], [0, 4, 2, 67]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients are with american indian/alaska native ethnicity below 67 years of age?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ETHNICITY\" = \"AMERICAN INDIAN/ALASKA NATIVE\" AND DEMOGRAPHIC.\"AGE\" < \"67\"", "question_refine_tok": ["how", "many", "patients", "are", "with", "american", "indian", "/", "alaska", "native", "ethnicity", "below", "67", "years", "of", "age", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ETHNICITY\"", "=", "\"AMERICAN", "INDIAN/ALASKA", "NATIVE\"", "AND", "DEMOGRAPHIC.\"AGE\"", "<", "\"67\""]}
{"key": "04f28582e0964c9954df581b93f8ecc7", "format": {"table": [0], "cond": [[0, 12, 0, "BLACK/HAITIAN"], [0, 4, 2, 68]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many of the patients from black/haitian thnic origin were aged below 68? ", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ETHNICITY\" = \"BLACK/HAITIAN\" AND DEMOGRAPHIC.\"AGE\" < \"68\"", "question_refine_tok": ["how", "many", "of", "the", "patients", "from", "black", "/", "haitian", "thnic", "origin", "were", "aged", "below", "68", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ETHNICITY\"", "=", "\"BLACK/HAITIAN\"", "AND", "DEMOGRAPHIC.\"AGE\"", "<", "\"68\""]}
{"key": "03003e36361d3201de108c4f119f7e70", "format": {"table": [0], "cond": [[0, 12, 0, "ASIAN"], [0, 4, 2, 67]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many asian patients are less than 67 years of age?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ETHNICITY\" = \"ASIAN\" AND DEMOGRAPHIC.\"AGE\" < \"67\"", "question_refine_tok": ["how", "many", "asian", "patients", "are", "less", "than", "67", "years", "of", "age", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ETHNICITY\"", "=", "\"ASIAN\"", "AND", "DEMOGRAPHIC.\"AGE\"", "<", "\"67\""]}
{"key": "090932307c30b9e5035ed9b8e269495a", "format": {"table": [0], "cond": [[0, 12, 0, "ASIAN"], [0, 4, 2, 80]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of patients less than 80 years of age who have asian ethnic background.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ETHNICITY\" = \"ASIAN\" AND DEMOGRAPHIC.\"AGE\" < \"80\"", "question_refine_tok": ["count", "the", "number", "of", "patients", "less", "than", "80", "years", "of", "age", "who", "have", "asian", "ethnic", "background", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ETHNICITY\"", "=", "\"ASIAN\"", "AND", "DEMOGRAPHIC.\"AGE\"", "<", "\"80\""]}
{"key": "0a93280ed4a8b3eeff94a94266661162", "format": {"table": [0], "cond": [[0, 12, 0, "WHITE"], [0, 18, 2, 2052]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients were there whose ethnicity is white and born before the year 2052?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ETHNICITY\" = \"WHITE\" AND DEMOGRAPHIC.\"DOB_YEAR\" < \"2052\"", "question_refine_tok": ["how", "many", "patients", "were", "there", "whose", "ethnicity", "is", "white", "and", "born", "before", "the", "year", "2052", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ETHNICITY\"", "=", "\"WHITE\"", "AND", "DEMOGRAPHIC.\"DOB_YEAR\"", "<", "\"2052\""]}
{"key": "a6b46b322c8929ee2ac3a05ac85f943c", "format": {"table": [0], "cond": [[0, 12, 0, "HISPANIC/LATINO - PUERTO RICAN"], [0, 18, 2, 2107]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the total number of patients from hispanic/latino - puertorican ethnic origin who were born in the year less than 2107.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ETHNICITY\" = \"HISPANIC/LATINO - PUERTO RICAN\" AND DEMOGRAPHIC.\"DOB_YEAR\" < \"2107\"", "question_refine_tok": ["what", "is", "the", "total", "number", "of", "patients", "from", "hispanic", "/", "latino", "-", "puertorican", "ethnic", "origin", "who", "were", "born", "in", "the", "year", "less", "than", "2107", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ETHNICITY\"", "=", "\"HISPANIC/LATINO", "-", "PUERTO", "RICAN\"", "AND", "DEMOGRAPHIC.\"DOB_YEAR\"", "<", "\"2107\""]}
{"key": "0565e307a3edfe84e93e464b872149ad", "format": {"table": [0, 1], "cond": [[0, 12, 0, "WHITE"], [1, 3, 0, "Hx of GI malignancy NEC"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients are with white ethnicity and diagnosed for hx of gi malignancy nec?", "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\" = \"Hx of GI malignancy NEC\"", "question_refine_tok": ["how", "many", "patients", "are", "with", "white", "ethnicity", "and", "diagnosed", "for", "hx", "of", "gi", "malignancy", "nec", "?"], "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\"", "=", "\"Hx", "of", "GI", "malignancy", "NEC\""]}
{"key": "02f5addb91754a1b056140844e000bd5", "format": {"table": [0], "cond": [[0, 13, 0, 0], [0, 16, 0, "AORTIC INSUFFICIENCY\\RE-DO STERNOTOMY; AORTIC VALVE REPLACEMENT   "]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "provide the number of patients whose death status is 0 and primary disease is aortic insufficiency/re-do sternotomy; aortic valve replacement.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"EXPIRE_FLAG\" = \"0\" AND DEMOGRAPHIC.\"DIAGNOSIS\" = \"AORTIC INSUFFICIENCY\\RE-DO STERNOTOMY; AORTIC VALVE REPLACEMENT   \"", "question_refine_tok": ["provide", "the", "number", "of", "patients", "whose", "death", "status", "is", "0", "and", "primary", "disease", "is", "aortic", "insufficiency", "/", "re", "-", "do", "sternotomy", ";", "aortic", "valve", "replacement", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"EXPIRE_FLAG\"", "=", "\"0\"", "AND", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"AORTIC", "INSUFFICIENCY\\RE-DO", "STERNOTOMY;", "AORTIC", "VALVE", "REPLACEMENT", "", "", "\""]}
{"key": "048d0ff6b504840d3588dc9a9c25604c", "format": {"table": [0], "cond": [[0, 13, 0, 1], [0, 4, 2, 43]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "provide the number of dead patients who were less than 43 years of age.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"EXPIRE_FLAG\" = \"1\" AND DEMOGRAPHIC.\"AGE\" < \"43\"", "question_refine_tok": ["provide", "the", "number", "of", "dead", "patients", "who", "were", "less", "than", "43", "years", "of", "age", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"EXPIRE_FLAG\"", "=", "\"1\"", "AND", "DEMOGRAPHIC.\"AGE\"", "<", "\"43\""]}
{"key": "90d554b6e10b435fb43351c3105183f3", "format": {"table": [0], "cond": [[0, 13, 0, 1], [0, 22, 2, 2123]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "calculate the number of dead patients who were admitted to hospital before 2123.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"EXPIRE_FLAG\" = \"1\" AND DEMOGRAPHIC.\"ADMITYEAR\" < \"2123\"", "question_refine_tok": ["calculate", "the", "number", "of", "dead", "patients", "who", "were", "admitted", "to", "hospital", "before", "2123", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"EXPIRE_FLAG\"", "=", "\"1\"", "AND", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2123\""]}
{"key": "abaad794f2c8a34d9d287b6128688cc8", "format": {"table": [0, 1], "cond": [[0, 13, 0, 0], [1, 3, 0, "Ac diastolic hrt failure"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "give the number of patients whose death status is 0 and diagnosis short title is ac diastolic heart failure.", "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\" = \"Ac diastolic hrt failure\"", "question_refine_tok": ["give", "the", "number", "of", "patients", "whose", "death", "status", "is", "0", "and", "diagnosis", "short", "title", "is", "ac", "diastolic", "heart", "failure", "."], "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\"", "=", "\"Ac", "diastolic", "hrt", "failure\""]}
{"key": "a0096afa6e0df0f8dee83cc6ad39b510", "format": {"table": [0, 1], "cond": [[0, 13, 0, 0], [1, 3, 0, "Epistaxis"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients with epistaxis have 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.\"SHORT_TITLE\" = \"Epistaxis\"", "question_refine_tok": ["how", "many", "patients", "with", "epistaxis", "have", "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.\"SHORT_TITLE\"", "=", "\"Epistaxis\""]}
{"key": "93093c6a157686346ac1a429056360d6", "format": {"table": [0, 1], "cond": [[0, 13, 0, 0], [1, 3, 0, "Hx-rectal & anal malign"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "provide the number of patients with a diagnoses of personal history of other malignant neoplasm of rectum, rectosigmoid junction and anus and are still alive.", "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\" = \"Hx-rectal & anal malign\"", "question_refine_tok": ["provide", "the", "number", "of", "patients", "with", "a", "diagnoses", "of", "personal", "history", "of", "other", "malignant", "neoplasm", "of", "rectum", ",", "rectosigmoid", "junction", "and", "anus", "and", "are", "still", "alive", "."], "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\"", "=", "\"Hx-rectal", "&", "anal", "malign\""]}
{"key": "099eef47c1de13d69881354a8d6bcf98", "format": {"table": [0, 1], "cond": [[0, 13, 0, 0], [1, 3, 0, "BPH w/o urinary obs/LUTS"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "give me the number of patients whose death status is 0 and diagnoses title is bph w/o urinaryobs/luts.", "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\" = \"BPH w/o urinary obs/LUTS\"", "question_refine_tok": ["give", "me", "the", "number", "of", "patients", "whose", "death", "status", "is", "0", "and", "diagnoses", "title", "is", "bph", "w/o", "urinaryobs", "/", "luts", "."], "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\"", "=", "\"BPH", "w/o", "urinary", "obs/LUTS\""]}
{"key": "03ea6a2d85bb58573fed1557472bfa36", "format": {"table": [0, 1], "cond": [[0, 13, 0, 0], [1, 3, 0, "Metabolic encephalopathy"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients with metabolic encephalopathy diagnoses are still alive?", "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\" = \"Metabolic encephalopathy\"", "question_refine_tok": ["how", "many", "patients", "with", "metabolic", "encephalopathy", "diagnoses", "are", "still", "alive", "?"], "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\"", "=", "\"Metabolic", "encephalopathy\""]}
{"key": "8277ad242f4a67242afb6df8fa62a4b1", "format": {"table": [0], "cond": [[0, 14, 0, "EMERGENCY ROOM ADMIT"], [0, 15, 0, "DISCH-TRAN TO PSYCH HOSP"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients were admitted through emergency department and discharged to discharge-transitioning to psychiatric hospital?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ADMISSION_LOCATION\" = \"EMERGENCY ROOM ADMIT\" AND DEMOGRAPHIC.\"DISCHARGE_LOCATION\" = \"DISCH-TRAN TO PSYCH HOSP\"", "question_refine_tok": ["how", "many", "patients", "were", "admitted", "through", "emergency", "department", "and", "discharged", "to", "discharge", "-", "transitioning", "to", "psychiatric", "hospital", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ADMISSION_LOCATION\"", "=", "\"EMERGENCY", "ROOM", "ADMIT\"", "AND", "DEMOGRAPHIC.\"DISCHARGE_LOCATION\"", "=", "\"DISCH-TRAN", "TO", "PSYCH", "HOSP\""]}
{"key": "0a1cd1f71bf51049de78aa0501e9fa78", "format": {"table": [0], "cond": [[0, 14, 0, "TRANSFER FROM HOSP/EXTRAM"], [0, 4, 2, 59]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of patients who have transfer from hosp/extram as the admission location and are less than 59 years of age?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ADMISSION_LOCATION\" = \"TRANSFER FROM HOSP/EXTRAM\" AND DEMOGRAPHIC.\"AGE\" < \"59\"", "question_refine_tok": ["what", "is", "the", "number", "of", "patients", "who", "have", "transfer", "from", "hosp", "/", "extram", "as", "the", "admission", "location", "and", "are", "less", "than", "59", "years", "of", "age", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ADMISSION_LOCATION\"", "=", "\"TRANSFER", "FROM", "HOSP/EXTRAM\"", "AND", "DEMOGRAPHIC.\"AGE\"", "<", "\"59\""]}
{"key": "927bcc5acfc5a7c2f5b2ebf99de1cd47", "format": {"table": [0], "cond": [[0, 14, 0, "TRSF WITHIN THIS FACILITY"], [0, 4, 2, 59]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "provide me with the number of patients less than 59 years who were transferred within the facility.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ADMISSION_LOCATION\" = \"TRSF WITHIN THIS FACILITY\" AND DEMOGRAPHIC.\"AGE\" < \"59\"", "question_refine_tok": ["provide", "me", "with", "the", "number", "of", "patients", "less", "than", "59", "years", "who", "were", "transferred", "within", "the", "facility", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ADMISSION_LOCATION\"", "=", "\"TRSF", "WITHIN", "THIS", "FACILITY\"", "AND", "DEMOGRAPHIC.\"AGE\"", "<", "\"59\""]}
{"key": "a85f7ee77ab7acd707cc19c80b4acf63", "format": {"table": [0], "cond": [[0, 14, 0, "EMERGENCY ROOM ADMIT"], [0, 18, 2, 2071]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of patients born before 2071 who had emergency room hospital admission.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ADMISSION_LOCATION\" = \"EMERGENCY ROOM ADMIT\" AND DEMOGRAPHIC.\"DOB_YEAR\" < \"2071\"", "question_refine_tok": ["count", "the", "number", "of", "patients", "born", "before", "2071", "who", "had", "emergency", "room", "hospital", "admission", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ADMISSION_LOCATION\"", "=", "\"EMERGENCY", "ROOM", "ADMIT\"", "AND", "DEMOGRAPHIC.\"DOB_YEAR\"", "<", "\"2071\""]}
{"key": "ba3064e8b2f13a2448df23529f31de36", "format": {"table": [0], "cond": [[0, 14, 0, "TRANSFER FROM HOSP/EXTRAM"], [0, 22, 2, 2131]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of patients with admission location as transfer from hosp/extram and were admitted before the year 2131?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ADMISSION_LOCATION\" = \"TRANSFER FROM HOSP/EXTRAM\" AND DEMOGRAPHIC.\"ADMITYEAR\" < \"2131\"", "question_refine_tok": ["what", "is", "the", "number", "of", "patients", "with", "admission", "location", "as", "transfer", "from", "hosp", "/", "extram", "and", "were", "admitted", "before", "the", "year", "2131", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ADMISSION_LOCATION\"", "=", "\"TRANSFER", "FROM", "HOSP/EXTRAM\"", "AND", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2131\""]}
{"key": "04221395dc9c6a9e5c880d1dc78a5031", "format": {"table": [0], "cond": [[0, 15, 0, "DISCH-TRAN TO PSYCH HOSP"], [0, 4, 2, 77]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients aged less than 77 have disch tran to psych hosp as the diacharge location?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DISCHARGE_LOCATION\" = \"DISCH-TRAN TO PSYCH HOSP\" AND DEMOGRAPHIC.\"AGE\" < \"77\"", "question_refine_tok": ["how", "many", "patients", "aged", "less", "than", "77", "have", "disch", "tran", "to", "psych", "hosp", "as", "the", "diacharge", "location", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DISCHARGE_LOCATION\"", "=", "\"DISCH-TRAN", "TO", "PSYCH", "HOSP\"", "AND", "DEMOGRAPHIC.\"AGE\"", "<", "\"77\""]}
{"key": "bba6972bfb39756cdb923e4518ec3895", "format": {"table": [0], "cond": [[0, 15, 0, "SHORT TERM HOSPITAL"], [0, 22, 2, 2182]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "provide the number of patients whose discharge location is short term hospital and who were admitted to the hospital before year 2182.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DISCHARGE_LOCATION\" = \"SHORT TERM HOSPITAL\" AND DEMOGRAPHIC.\"ADMITYEAR\" < \"2182\"", "question_refine_tok": ["provide", "the", "number", "of", "patients", "whose", "discharge", "location", "is", "short", "term", "hospital", "and", "who", "were", "admitted", "to", "the", "hospital", "before", "year", "2182", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DISCHARGE_LOCATION\"", "=", "\"SHORT", "TERM", "HOSPITAL\"", "AND", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2182\""]}
{"key": "0d2d4b9ce812c7d9805538e58b0de30e", "format": {"table": [0], "cond": [[0, 16, 0, "ABDOMINAL PAIN"], [0, 4, 2, 68]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of patients with primary disease abdominal pain who were aged less than 68 years?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"ABDOMINAL PAIN\" AND DEMOGRAPHIC.\"AGE\" < \"68\"", "question_refine_tok": ["what", "is", "the", "number", "of", "patients", "with", "primary", "disease", "abdominal", "pain", "who", "were", "aged", "less", "than", "68", "years", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"ABDOMINAL", "PAIN\"", "AND", "DEMOGRAPHIC.\"AGE\"", "<", "\"68\""]}
{"key": "074e5b4530d549289801849ce3cdde02", "format": {"table": [0], "cond": [[0, 16, 0, "ABDOMINAL ABSCESS"], [0, 4, 2, 68]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the total number of patients aged below 68 who had abdominal abscess as primary disease ", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"ABDOMINAL ABSCESS\" AND DEMOGRAPHIC.\"AGE\" < \"68\"", "question_refine_tok": ["what", "is", "the", "total", "number", "of", "patients", "aged", "below", "68", "who", "had", "abdominal", "abscess", "as", "primary", "disease"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"ABDOMINAL", "ABSCESS\"", "AND", "DEMOGRAPHIC.\"AGE\"", "<", "\"68\""]}
{"key": "8757aa09f5f4b407395c6608aecb69e0", "format": {"table": [0], "cond": [[0, 16, 0, "BOWEL OBSTRUCTION"], [0, 10, 1, 10]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "find the number of patients with bowel obstruction primary disease who have been admitted to hospital for more than 10 days.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"BOWEL OBSTRUCTION\" AND DEMOGRAPHIC.\"DAYS_STAY\" > \"10\"", "question_refine_tok": ["find", "the", "number", "of", "patients", "with", "bowel", "obstruction", "primary", "disease", "who", "have", "been", "admitted", "to", "hospital", "for", "more", "than", "10", "days", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"BOWEL", "OBSTRUCTION\"", "AND", "DEMOGRAPHIC.\"DAYS_STAY\"", ">", "\"10\""]}
{"key": "9ff64e587978e15c158f7b6b80563161", "format": {"table": [0], "cond": [[0, 16, 0, "UPPER GI BLEED"], [0, 18, 2, 2112]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients are diagnosed with primary disease upper gi bleed and are born before 2112?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"UPPER GI BLEED\" AND DEMOGRAPHIC.\"DOB_YEAR\" < \"2112\"", "question_refine_tok": ["how", "many", "patients", "are", "diagnosed", "with", "primary", "disease", "upper", "gi", "bleed", "and", "are", "born", "before", "2112", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"UPPER", "GI", "BLEED\"", "AND", "DEMOGRAPHIC.\"DOB_YEAR\"", "<", "\"2112\""]}
{"key": "bb83ddfb2b58462bada823ae66a5bd95", "format": {"table": [0], "cond": [[0, 16, 0, "GUILLAIN BARRE SYNDROME"], [0, 18, 2, 2109]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients born before the year 2109were primarily diagnosd for guillain barre syndrome?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"GUILLAIN BARRE SYNDROME\" AND DEMOGRAPHIC.\"DOB_YEAR\" < \"2109\"", "question_refine_tok": ["how", "many", "patients", "born", "before", "the", "year", "2109were", "primarily", "diagnosd", "for", "guillain", "barre", "syndrome", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"GUILLAIN", "BARRE", "SYNDROME\"", "AND", "DEMOGRAPHIC.\"DOB_YEAR\"", "<", "\"2109\""]}
{"key": "9fa63394a37b2f80110759367790716a", "format": {"table": [0], "cond": [[0, 16, 0, "SEPSIS"], [0, 22, 2, 2203]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients were admitted to the hospital before year 2203 with sepsis as the primary disease?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"SEPSIS\" AND DEMOGRAPHIC.\"ADMITYEAR\" < \"2203\"", "question_refine_tok": ["how", "many", "patients", "were", "admitted", "to", "the", "hospital", "before", "year", "2203", "with", "sepsis", "as", "the", "primary", "disease", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"SEPSIS\"", "AND", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2203\""]}
{"key": "a5b6345934da2a50fd6dd880ba5fb59a", "format": {"table": [0, 3], "cond": [[0, 16, 0, "GASTROINTESTINAL BLEED"], [3, 6, 0, "TP"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients have gastrointestinal bleed and tp drug route?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"GASTROINTESTINAL BLEED\" AND PRESCRIPTIONS.\"ROUTE\" = \"TP\"", "question_refine_tok": ["how", "many", "patients", "have", "gastrointestinal", "bleed", "and", "tp", "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\"", "=", "\"GASTROINTESTINAL", "BLEED\"", "AND", "PRESCRIPTIONS.\"ROUTE\"", "=", "\"TP\""]}
{"key": "0047b985a745f591fd904a526f46c5ec", "format": {"table": [0], "cond": [[0, 4, 2, 83], [0, 10, 1, 6]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "let me know the number of patients less than 83 years who stayed in hospital for more than 6 days.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"AGE\" < \"83\" AND DEMOGRAPHIC.\"DAYS_STAY\" > \"6\"", "question_refine_tok": ["let", "me", "know", "the", "number", "of", "patients", "less", "than", "83", "years", "who", "stayed", "in", "hospital", "for", "more", "than", "6", "days", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"AGE\"", "<", "\"83\"", "AND", "DEMOGRAPHIC.\"DAYS_STAY\"", ">", "\"6\""]}
{"key": "0efb1f3ea07563c82ed22210954a7e05", "format": {"table": [0], "cond": [[0, 4, 2, 72], [0, 19, 4, 2132.0]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "get the number of patients who died on or before 2132 and were less than 72 years of age.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"AGE\" < \"72\" AND DEMOGRAPHIC.\"DOD_YEAR\" <= \"2132.0\"", "question_refine_tok": ["get", "the", "number", "of", "patients", "who", "died", "on", "or", "before", "2132", "and", "were", "less", "than", "72", "years", "of", "age", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"AGE\"", "<", "\"72\"", "AND", "DEMOGRAPHIC.\"DOD_YEAR\"", "<=", "\"2132.0\""]}
{"key": "aa3651ed4202392f2f09a7769737f61b", "format": {"table": [0, 1], "cond": [[0, 4, 2, 83], [1, 3, 0, "Pneumococcal pneumonia"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "provide the number of patients less than 83 years of age who were diagnosed with pneumococcal pneumonia.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"AGE\" < \"83\" AND DIAGNOSES.\"SHORT_TITLE\" = \"Pneumococcal pneumonia\"", "question_refine_tok": ["provide", "the", "number", "of", "patients", "less", "than", "83", "years", "of", "age", "who", "were", "diagnosed", "with", "pneumococcal", "pneumonia", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"AGE\"", "<", "\"83\"", "AND", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"Pneumococcal", "pneumonia\""]}
{"key": "0039685df6e3097e7f1e2742a86d106a", "format": {"table": [0, 1], "cond": [[0, 4, 2, 51], [1, 3, 0, "Preterm NEC 2500+g"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients below 51 years of age are preterm nec 2500+g?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"AGE\" < \"51\" AND DIAGNOSES.\"SHORT_TITLE\" = \"Preterm NEC 2500+g\"", "question_refine_tok": ["how", "many", "patients", "below", "51", "years", "of", "age", "are", "preterm", "nec", "2500+g", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"AGE\"", "<", "\"51\"", "AND", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"Preterm", "NEC", "2500+g\""]}
{"key": "0640f668a6444cfc4761651f76cfad7b", "format": {"table": [0, 1], "cond": [[0, 4, 2, 81], [1, 4, 0, "Unspecified septicemia"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "provide the number of patients diagnosed with unspecified septicemia aged less than 81 years.", "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.\"LONG_TITLE\" = \"Unspecified septicemia\"", "question_refine_tok": ["provide", "the", "number", "of", "patients", "diagnosed", "with", "unspecified", "septicemia", "aged", "less", "than", "81", "years", "."], "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.\"LONG_TITLE\"", "=", "\"Unspecified", "septicemia\""]}
{"key": "0ebff2e801d7f07f735ed115ff6846e8", "format": {"table": [0, 2], "cond": [[0, 4, 2, 44], [2, 3, 0, "Oth uni salpingo-oophor"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients are below 44 years of age and followed the procedure uni salpingo-oophor?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"AGE\" < \"44\" AND PROCEDURES.\"SHORT_TITLE\" = \"Oth uni salpingo-oophor\"", "question_refine_tok": ["how", "many", "patients", "are", "below", "44", "years", "of", "age", "and", "followed", "the", "procedure", "uni", "salpingo", "-", "oophor", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"AGE\"", "<", "\"44\"", "AND", "PROCEDURES.\"SHORT_TITLE\"", "=", "\"Oth", "uni", "salpingo-oophor\""]}
{"key": "870bc97deb5038b9b33dc9a92d1b7a84", "format": {"table": [0, 4], "cond": [[0, 4, 2, 30], [4, 4, 0, "abnormal"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of patients younger than 30 years who 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 DEMOGRAPHIC.\"AGE\" < \"30\" AND LAB.\"FLAG\" = \"abnormal\"", "question_refine_tok": ["count", "the", "number", "of", "patients", "younger", "than", "30", "years", "who", "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", "DEMOGRAPHIC.\"AGE\"", "<", "\"30\"", "AND", "LAB.\"FLAG\"", "=", "\"abnormal\""]}
{"key": "8182d5043bd51f337b846751434757f1", "format": {"table": [0, 4], "cond": [[0, 4, 2, 41], [4, 4, 0, "delta"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "give me the number of patients less than 41 years who have 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.\"AGE\" < \"41\" AND LAB.\"FLAG\" = \"delta\"", "question_refine_tok": ["give", "me", "the", "number", "of", "patients", "less", "than", "41", "years", "who", "have", "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.\"AGE\"", "<", "\"41\"", "AND", "LAB.\"FLAG\"", "=", "\"delta\""]}
{"key": "aa0feba409fddd516dabb88f3e4e1131", "format": {"table": [0, 4], "cond": [[0, 4, 2, 85], [4, 6, 0, "Heparin, LMW"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what number of patients under the age of 85 had lab test named heparin,imw?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"AGE\" < \"85\" AND LAB.\"LABEL\" = \"Heparin, LMW\"", "question_refine_tok": ["what", "number", "of", "patients", "under", "the", "age", "of", "85", "had", "lab", "test", "named", "heparin", ",", "imw", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"AGE\"", "<", "\"85\"", "AND", "LAB.\"LABEL\"", "=", "\"Heparin,", "LMW\""]}
{"key": "9b6dfdf4c90e8cacd7a41b3d04f7e83e", "format": {"table": [0, 4], "cond": [[0, 4, 2, 56], [4, 6, 0, "Sodium, Whole Blood"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "among patients aged below 56, how many of them had a lab test for sodium, whole blood?", "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.\"LABEL\" = \"Sodium, Whole Blood\"", "question_refine_tok": ["among", "patients", "aged", "below", "56", ",", "how", "many", "of", "them", "had", "a", "lab", "test", "for", "sodium", ",", "whole", "blood", "?"], "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.\"LABEL\"", "=", "\"Sodium,", "Whole", "Blood\""]}
{"key": "0332dda726da118eaa7ca1bd76d407df", "format": {"table": [0, 1], "cond": [[0, 10, 1, 7], [1, 3, 0, "Single lb in-hosp w cs"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of patients whose hospital stay is above 7 days and diagnosed with single ib in-hosp w cs?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"DAYS_STAY\" > \"7\" AND DIAGNOSES.\"SHORT_TITLE\" = \"Single lb in-hosp w cs\"", "question_refine_tok": ["what", "is", "the", "number", "of", "patients", "whose", "hospital", "stay", "is", "above", "7", "days", "and", "diagnosed", "with", "single", "ib", "in", "-", "hosp", "w", "cs", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DAYS_STAY\"", ">", "\"7\"", "AND", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"Single", "lb", "in-hosp", "w", "cs\""]}
{"key": "08fc7705c2b867f49f66d8f30eeba98e", "format": {"table": [0, 1], "cond": [[0, 10, 1, 26], [1, 3, 0, "Joint replaced knee"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of patients with knee joint replacement diagnoses who were hospitalized for more than 26 days.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"DAYS_STAY\" > \"26\" AND DIAGNOSES.\"SHORT_TITLE\" = \"Joint replaced knee\"", "question_refine_tok": ["count", "the", "number", "of", "patients", "with", "knee", "joint", "replacement", "diagnoses", "who", "were", "hospitalized", "for", "more", "than", "26", "days", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DAYS_STAY\"", ">", "\"26\"", "AND", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"Joint", "replaced", "knee\""]}
{"key": "0c72214ea0e062654437473e15068aa3", "format": {"table": [0, 1], "cond": [[0, 10, 1, 7], [1, 3, 0, "Acidosis"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what number of patients diagnosed for acidosis stayed in the hospital for more than 7 days?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"DAYS_STAY\" > \"7\" AND DIAGNOSES.\"SHORT_TITLE\" = \"Acidosis\"", "question_refine_tok": ["what", "number", "of", "patients", "diagnosed", "for", "acidosis", "stayed", "in", "the", "hospital", "for", "more", "than", "7", "days", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DAYS_STAY\"", ">", "\"7\"", "AND", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"Acidosis\""]}
{"key": "9199807b13cd1e04881141d5212e9079", "format": {"table": [0, 1], "cond": [[0, 10, 1, 7], [1, 3, 0, "Alzheimer's disease"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "give me the number of patients diagnosed with alzheimer's disease who were admitted for more than 7 days.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"DAYS_STAY\" > \"7\" AND DIAGNOSES.\"SHORT_TITLE\" = \"Alzheimer's disease\"", "question_refine_tok": ["give", "me", "the", "number", "of", "patients", "diagnosed", "with", "alzheimer", "'s", "disease", "who", "were", "admitted", "for", "more", "than", "7", "days", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DAYS_STAY\"", ">", "\"7\"", "AND", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"Alzheimer's", "disease\""]}
{"key": "9414e815191f08f8729bdad33e6d48be", "format": {"table": [0, 3], "cond": [[0, 10, 1, 26], [3, 4, 0, "Lorazepam"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "look for the number of patients on lorazepam prescription who stayed in hospital for more than 26 days.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"DAYS_STAY\" > \"26\" AND PRESCRIPTIONS.\"DRUG\" = \"Lorazepam\"", "question_refine_tok": ["look", "for", "the", "number", "of", "patients", "on", "lorazepam", "prescription", "who", "stayed", "in", "hospital", "for", "more", "than", "26", "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\"", ">", "\"26\"", "AND", "PRESCRIPTIONS.\"DRUG\"", "=", "\"Lorazepam\""]}
{"key": "87cb983ef7e62ae3398a8fd6ef8c6b16", "format": {"table": [0, 3], "cond": [[0, 10, 1, 16], [3, 4, 0, "SW"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of patients whose hospital stay is above 16 days and with drug sw?", "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.\"DRUG\" = \"SW\"", "question_refine_tok": ["what", "is", "the", "number", "of", "patients", "whose", "hospital", "stay", "is", "above", "16", "days", "and", "with", "drug", "sw", "?"], "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.\"DRUG\"", "=", "\"SW\""]}
{"key": "8e7a52d33c8a0a9838c49596461d2ca3", "format": {"table": [0, 3], "cond": [[0, 10, 1, 8], [3, 4, 0, "Acetylcysteine 20%"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "from total number of patients treated with acetylcysteine 20%, calculate the number of those who had a hospital stay of more than 8 days", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"DAYS_STAY\" > \"8\" AND PRESCRIPTIONS.\"DRUG\" = \"Acetylcysteine 20%\"", "question_refine_tok": ["from", "total", "number", "of", "patients", "treated", "with", "acetylcysteine", "20", "%", ",", "calculate", "the", "number", "of", "those", "who", "had", "a", "hospital", "stay", "of", "more", "than", "8", "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\"", ">", "\"8\"", "AND", "PRESCRIPTIONS.\"DRUG\"", "=", "\"Acetylcysteine", "20%\""]}
{"key": "9192083f15618c3944fab5819282ce1f", "format": {"table": [0, 1], "cond": [[0, 22, 2, 2148], [1, 3, 0, "Obesity NOS"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "give me the number of patients admitted before 2148 who are diagnosed with unspecified obesity.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"ADMITYEAR\" < \"2148\" AND DIAGNOSES.\"SHORT_TITLE\" = \"Obesity NOS\"", "question_refine_tok": ["give", "me", "the", "number", "of", "patients", "admitted", "before", "2148", "who", "are", "diagnosed", "with", "unspecified", "obesity", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2148\"", "AND", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"Obesity", "NOS\""]}
{"key": "05c34fdbc7ab6c2cd547aa61e361051c", "format": {"table": [0, 1], "cond": [[0, 22, 2, 2175], [1, 3, 0, "Long-term use steroids"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "out of total number of patients admitted in the year less than 2157, how many of them had long-term use of steroids?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"ADMITYEAR\" < \"2175\" AND DIAGNOSES.\"SHORT_TITLE\" = \"Long-term use steroids\"", "question_refine_tok": ["out", "of", "total", "number", "of", "patients", "admitted", "in", "the", "year", "less", "than", "2157", ",", "how", "many", "of", "them", "had", "long", "-", "term", "use", "of", "steroids", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2175\"", "AND", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"Long-term", "use", "steroids\""]}
{"key": "8c88f561e27ab905c51f995f000f9920", "format": {"table": [0, 1], "cond": [[0, 22, 2, 2187], [1, 3, 0, "Other lung disease NEC"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients admitted before 2187 are diagnosed with other lung disease nec?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"ADMITYEAR\" < \"2187\" AND DIAGNOSES.\"SHORT_TITLE\" = \"Other lung disease NEC\"", "question_refine_tok": ["how", "many", "patients", "admitted", "before", "2187", "are", "diagnosed", "with", "other", "lung", "disease", "nec", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2187\"", "AND", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"Other", "lung", "disease", "NEC\""]}
{"key": "80d0e73a185289625d60921e65b0f2d8", "format": {"table": [0, 1], "cond": [[0, 22, 2, 2172], [1, 4, 0, "Contact dermatitis and other eczema, unspecified cause"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "among the patients admitted in the year less than 2172, how many had contact dermatitis and other eczema, unspecified cause?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"ADMITYEAR\" < \"2172\" AND DIAGNOSES.\"LONG_TITLE\" = \"Contact dermatitis and other eczema, unspecified cause\"", "question_refine_tok": ["among", "the", "patients", "admitted", "in", "the", "year", "less", "than", "2172", ",", "how", "many", "had", "contact", "dermatitis", "and", "other", "eczema", ",", "unspecified", "cause", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2172\"", "AND", "DIAGNOSES.\"LONG_TITLE\"", "=", "\"Contact", "dermatitis", "and", "other", "eczema,", "unspecified", "cause\""]}
{"key": "9fcbd4ae3ba6806cdd14afc747ca9ca3", "format": {"table": [0, 1], "cond": [[0, 22, 2, 2179], [1, 4, 0, "Pressure ulcer, stage II"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients are admitted before 2179 and diagnosed with pressure ulcer, stage ii?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"ADMITYEAR\" < \"2179\" AND DIAGNOSES.\"LONG_TITLE\" = \"Pressure ulcer, stage II\"", "question_refine_tok": ["how", "many", "patients", "are", "admitted", "before", "2179", "and", "diagnosed", "with", "pressure", "ulcer", ",", "stage", "ii", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2179\"", "AND", "DIAGNOSES.\"LONG_TITLE\"", "=", "\"Pressure", "ulcer,", "stage", "II\""]}
{"key": "a653e009b44f6b042361642164f758e9", "format": {"table": [0, 1], "cond": [[0, 22, 2, 2174], [1, 4, 0, "Sepsis"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "look for the number of patients admitted before 2174 and diagnosed with sepsis.", "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\" = \"Sepsis\"", "question_refine_tok": ["look", "for", "the", "number", "of", "patients", "admitted", "before", "2174", "and", "diagnosed", "with", "sepsis", "."], "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\"", "=", "\"Sepsis\""]}
{"key": "0eb32f428a68a982f36ee3562f936b6e", "format": {"table": [0, 2], "cond": [[0, 22, 2, 2155], [2, 3, 0, "Dx ultrasound-heart"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the total number of patients admitted in the year less than 2155 who had dx ultrasound-heart?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"ADMITYEAR\" < \"2155\" AND PROCEDURES.\"SHORT_TITLE\" = \"Dx ultrasound-heart\"", "question_refine_tok": ["what", "is", "the", "total", "number", "of", "patients", "admitted", "in", "the", "year", "less", "than", "2155", "who", "had", "dx", "ultrasound", "-", "heart", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2155\"", "AND", "PROCEDURES.\"SHORT_TITLE\"", "=", "\"Dx", "ultrasound-heart\""]}
{"key": "a77d67ccd0a105807ef5c3fb6cb2c019", "format": {"table": [0, 2], "cond": [[0, 22, 2, 2146], [2, 3, 0, "Cardiopulm resuscita NOS"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "provide the number of patients who were admitted before the year 2146 and whose procedure short title is cardiopulm resuscita nos.", "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.\"SHORT_TITLE\" = \"Cardiopulm resuscita NOS\"", "question_refine_tok": ["provide", "the", "number", "of", "patients", "who", "were", "admitted", "before", "the", "year", "2146", "and", "whose", "procedure", "short", "title", "is", "cardiopulm", "resuscita", "nos", "."], "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.\"SHORT_TITLE\"", "=", "\"Cardiopulm", "resuscita", "NOS\""]}
{"key": "a8e264d96300a69aa8dea07d6d507559", "format": {"table": [0, 2], "cond": [[0, 22, 2, 2150], [2, 4, 0, "Hemodialysis"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "out of total number of patients admitted in the year less than 2150, how many of them had hemodialysis?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"ADMITYEAR\" < \"2150\" AND PROCEDURES.\"LONG_TITLE\" = \"Hemodialysis\"", "question_refine_tok": ["out", "of", "total", "number", "of", "patients", "admitted", "in", "the", "year", "less", "than", "2150", ",", "how", "many", "of", "them", "had", "hemodialysis", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2150\"", "AND", "PROCEDURES.\"LONG_TITLE\"", "=", "\"Hemodialysis\""]}
{"key": "9fbf9e43a2cf665e8cf12a1fddb6f556", "format": {"table": [0, 2], "cond": [[0, 22, 2, 2187], [2, 4, 0, "(Aorto)coronary bypass of one coronary artery"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "specify the number of patients who were admitted in the year less that 2187 and had  (aorto)coronary bypass of one coronary artery", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"ADMITYEAR\" < \"2187\" AND PROCEDURES.\"LONG_TITLE\" = \"(Aorto)coronary bypass of one coronary artery\"", "question_refine_tok": ["specify", "the", "number", "of", "patients", "who", "were", "admitted", "in", "the", "year", "less", "that", "2187", "and", "had", " ", "(", "aorto)coronary", "bypass", "of", "one", "coronary", "artery"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2187\"", "AND", "PROCEDURES.\"LONG_TITLE\"", "=", "\"(Aorto)coronary", "bypass", "of", "one", "coronary", "artery\""]}
{"key": "025c24d1e68c126598c7046e63752ab8", "format": {"table": [0, 2], "cond": [[0, 22, 2, 2162], [2, 4, 0, "Percutaneous [endoscopic] gastrojejunostomy"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "out of total number of patients admitted in the year less than 2162, how many had percutaneous [endoscopic] gastrojejunostomy?", "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.\"LONG_TITLE\" = \"Percutaneous [endoscopic] gastrojejunostomy\"", "question_refine_tok": ["out", "of", "total", "number", "of", "patients", "admitted", "in", "the", "year", "less", "than", "2162", ",", "how", "many", "had", "percutaneous", "[", "endoscopic", "]", "gastrojejunostomy", "?"], "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.\"LONG_TITLE\"", "=", "\"Percutaneous", "[endoscopic]", "gastrojejunostomy\""]}
{"key": "aa7c9f0f083c93b10c5c1410673a02c2", "format": {"table": [0, 3], "cond": [[0, 22, 2, 2174], [3, 4, 0, "Cefpodoxime Proxetil"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "provide the number of patients who were admitted before the year 2174 and given the drug cefpodoxime proxetil.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"ADMITYEAR\" < \"2174\" AND PRESCRIPTIONS.\"DRUG\" = \"Cefpodoxime Proxetil\"", "question_refine_tok": ["provide", "the", "number", "of", "patients", "who", "were", "admitted", "before", "the", "year", "2174", "and", "given", "the", "drug", "cefpodoxime", "proxetil", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2174\"", "AND", "PRESCRIPTIONS.\"DRUG\"", "=", "\"Cefpodoxime", "Proxetil\""]}
{"key": "aac4912698c7b291c95cb3f2419634a6", "format": {"table": [0, 1, 3], "cond": [[1, 3, 0, "Atriovent block complete"], [3, 3, 0, "BASE"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "provide the number of patients whose diagnosis short title is atriovent block complete 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\" = \"Atriovent block complete\" AND PRESCRIPTIONS.\"DRUG_TYPE\" = \"BASE\"", "question_refine_tok": ["provide", "the", "number", "of", "patients", "whose", "diagnosis", "short", "title", "is", "atriovent", "block", "complete", "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\"", "=", "\"Atriovent", "block", "complete\"", "AND", "PRESCRIPTIONS.\"DRUG_TYPE\"", "=", "\"BASE\""]}
{"key": "0c29bb8002f39c1b47df9dd0077c7ef2", "format": {"table": [0, 1, 3], "cond": [[1, 3, 0, "Physical restrain status"], [3, 3, 0, "BASE"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients with physical restrain status 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.\"SHORT_TITLE\" = \"Physical restrain status\" AND PRESCRIPTIONS.\"DRUG_TYPE\" = \"BASE\"", "question_refine_tok": ["how", "many", "patients", "with", "physical", "restrain", "status", "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.\"SHORT_TITLE\"", "=", "\"Physical", "restrain", "status\"", "AND", "PRESCRIPTIONS.\"DRUG_TYPE\"", "=", "\"BASE\""]}
{"key": "968b80474dc7adef444d9996b1f46a94", "format": {"table": [0, 1, 3], "cond": [[1, 3, 0, "Bleed esoph var oth dis"], [3, 3, 0, "MAIN"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "calculate the number of patients with bleed esoph var other disease who were treated with main 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.\"SHORT_TITLE\" = \"Bleed esoph var oth dis\" AND PRESCRIPTIONS.\"DRUG_TYPE\" = \"MAIN\"", "question_refine_tok": ["calculate", "the", "number", "of", "patients", "with", "bleed", "esoph", "var", "other", "disease", "who", "were", "treated", "with", "main", "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.\"SHORT_TITLE\"", "=", "\"Bleed", "esoph", "var", "oth", "dis\"", "AND", "PRESCRIPTIONS.\"DRUG_TYPE\"", "=", "\"MAIN\""]}
{"key": "a9d92fdd4552de6119472381096c41d5", "format": {"table": [0, 1, 3], "cond": [[1, 3, 0, "Diaphragmatic hernia"], [3, 3, 0, "BASE"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients with drug type base were diagnosed with diaphragmatic hernia?", "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\" = \"Diaphragmatic hernia\" AND PRESCRIPTIONS.\"DRUG_TYPE\" = \"BASE\"", "question_refine_tok": ["how", "many", "patients", "with", "drug", "type", "base", "were", "diagnosed", "with", "diaphragmatic", "hernia", "?"], "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\"", "=", "\"Diaphragmatic", "hernia\"", "AND", "PRESCRIPTIONS.\"DRUG_TYPE\"", "=", "\"BASE\""]}
{"key": "b9e81a7036c0f844cb0892ae06fa0c72", "format": {"table": [0, 1, 3], "cond": [[1, 3, 0, "Rec depr psych-psychotic"], [3, 6, 0, "PO/NG"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what number of patients have diagnosis short title as rec depr psych-psychotic and drug route as po/ng?", "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.\"ROUTE\" = \"PO/NG\"", "question_refine_tok": ["what", "number", "of", "patients", "have", "diagnosis", "short", "title", "as", "rec", "depr", "psych", "-", "psychotic", "and", "drug", "route", "as", "po", "/", "ng", "?"], "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.\"ROUTE\"", "=", "\"PO/NG\""]}
{"key": "a71d8a20f3c1c0d0fc6a9372df547def", "format": {"table": [0, 1, 4], "cond": [[1, 3, 0, "Dysphagia NOS"], [4, 6, 0, "Ketone"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "find the patients who have to be tested for ketones with diagnosis of dysphagia nos.", "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\" = \"Dysphagia NOS\" AND LAB.\"LABEL\" = \"Ketone\"", "question_refine_tok": ["find", "the", "patients", "who", "have", "to", "be", "tested", "for", "ketones", "with", "diagnosis", "of", "dysphagia", "nos", "."], "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\"", "=", "\"Dysphagia", "NOS\"", "AND", "LAB.\"LABEL\"", "=", "\"Ketone\""]}
{"key": "0d8e3bc0c9b32c93056a71cbc2e7882e", "format": {"table": [0, 1, 4], "cond": [[1, 4, 0, "Personal history of colonic polyps"], [4, 4, 0, "abnormal"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "give the number of patients who were diagnosed with personal history of colonic polyps 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.\"LONG_TITLE\" = \"Personal history of colonic polyps\" AND LAB.\"FLAG\" = \"abnormal\"", "question_refine_tok": ["give", "the", "number", "of", "patients", "who", "were", "diagnosed", "with", "personal", "history", "of", "colonic", "polyps", "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.\"LONG_TITLE\"", "=", "\"Personal", "history", "of", "colonic", "polyps\"", "AND", "LAB.\"FLAG\"", "=", "\"abnormal\""]}
{"key": "979b37be2f3e1e3afc9d8298e975b5a1", "format": {"table": [0, 1, 4], "cond": [[1, 4, 0, "Seroma complicating a procedure"], [4, 8, 0, "Hematology"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "find the number of patients categorized under hematology lab test who have been diagnosed with seroma complicating a procedure.", "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\" = \"Seroma complicating a procedure\" AND LAB.\"CATEGORY\" = \"Hematology\"", "question_refine_tok": ["find", "the", "number", "of", "patients", "categorized", "under", "hematology", "lab", "test", "who", "have", "been", "diagnosed", "with", "seroma", "complicating", "a", "procedure", "."], "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\"", "=", "\"Seroma", "complicating", "a", "procedure\"", "AND", "LAB.\"CATEGORY\"", "=", "\"Hematology\""]}
{"key": "9ce3e6d4028ec80eb96214edc77b6496", "format": {"table": [0, 3, 4], "cond": [[3, 3, 0, "MAIN"], [4, 6, 0, "Sodium, Urine"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients had a lab test for sodium, urine and treated with a base drug?", "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\" = \"Sodium, Urine\"", "question_refine_tok": ["how", "many", "patients", "had", "a", "lab", "test", "for", "sodium", ",", "urine", "and", "treated", "with", "a", "base", "drug", "?"], "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\"", "=", "\"Sodium,", "Urine\""]}
{"key": "900aceb61a32bfdb6cf3e6ece9597284", "format": {"table": [0], "cond": [[0, 0, 0, 2560]], "agg_col": [[0, 3], [0, 7]], "sel": 0}, "question_refine": "provide marital status as well as preferred language of the patient with patient id 2560.", "sql": "SELECT DEMOGRAPHIC.\"MARITAL_STATUS\",DEMOGRAPHIC.\"LANGUAGE\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"2560\"", "question_refine_tok": ["provide", "marital", "status", "as", "well", "as", "preferred", "language", "of", "the", "patient", "with", "patient", "i", "d", "2560", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"MARITAL_STATUS\",DEMOGRAPHIC.\"LANGUAGE\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"2560\""]}
{"key": "0f8c99adf2a5dc590120e3fc5f613dbc", "format": {"table": [0], "cond": [[0, 0, 0, 2560]], "agg_col": [[0, 11], [0, 16]], "sel": 0}, "question_refine": "what is the insurance and primary disease of the patient id 2560?", "sql": "SELECT DEMOGRAPHIC.\"INSURANCE\",DEMOGRAPHIC.\"DIAGNOSIS\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"2560\"", "question_refine_tok": ["what", "is", "the", "insurance", "and", "primary", "disease", "of", "the", "patient", "i", "d", "2560", "?"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"INSURANCE\",DEMOGRAPHIC.\"DIAGNOSIS\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"2560\""]}
{"key": "0baa58e5517b4fcb7f72da30a3aac78f", "format": {"table": [0], "cond": [[0, 0, 0, 6983]], "agg_col": [[0, 3], [0, 20]], "sel": 0}, "question_refine": "provide the admission time and marital status of subject id 6983.", "sql": "SELECT DEMOGRAPHIC.\"MARITAL_STATUS\",DEMOGRAPHIC.\"ADMITTIME\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"6983\"", "question_refine_tok": ["provide", "the", "admission", "time", "and", "marital", "status", "of", "subject", "i", "d", "6983", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"MARITAL_STATUS\",DEMOGRAPHIC.\"ADMITTIME\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"6983\""]}
{"key": "a67c695125c7528403160bb8cda092c5", "format": {"table": [0], "cond": [[0, 0, 0, 81923]], "agg_col": [[0, 11]], "sel": 0}, "question_refine": "find the insurance of subject  id 81923.", "sql": "SELECT DEMOGRAPHIC.\"INSURANCE\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"81923\"", "question_refine_tok": ["find", "the", "insurance", "of", "subject", " ", "i", "d", "81923", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"INSURANCE\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"81923\""]}
{"key": "9bfdaf5eab2c02d8ca8b4d3868f647de", "format": {"table": [0, 2], "cond": [[0, 0, 0, 81923]], "agg_col": [[0, 5], [2, 4]], "sel": 0}, "question_refine": "let me know the birht date and long title of procedure for patient with patient id 81923.", "sql": "SELECT DEMOGRAPHIC.\"DOB\",PROCEDURES.\"LONG_TITLE\" FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"81923\"", "question_refine_tok": ["let", "me", "know", "the", "birht", "date", "and", "long", "title", "of", "procedure", "for", "patient", "with", "patient", "i", "d", "81923", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DOB\",PROCEDURES.\"LONG_TITLE\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"81923\""]}
{"key": "0de72540235585ad871c25fec25eb251", "format": {"table": [0], "cond": [[0, 0, 0, 29961]], "agg_col": [[0, 9]], "sel": 0}, "question_refine": "mention the admission type of patient with patinet id 29961?", "sql": "SELECT DEMOGRAPHIC.\"ADMISSION_TYPE\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"29961\"", "question_refine_tok": ["mention", "the", "admission", "type", "of", "patient", "with", "patinet", "i", "d", "29961", "?"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"ADMISSION_TYPE\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"29961\""]}
{"key": "975158013a0614796649501c4458a198", "format": {"table": [0], "cond": [[0, 0, 0, 3343]], "agg_col": [[0, 7], [0, 16]], "sel": 0}, "question_refine": "what is the preferred language and primary disease of the patient with patient id 3343?", "sql": "SELECT DEMOGRAPHIC.\"LANGUAGE\",DEMOGRAPHIC.\"DIAGNOSIS\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"3343\"", "question_refine_tok": ["what", "is", "the", "preferred", "language", "and", "primary", "disease", "of", "the", "patient", "with", "patient", "i", "d", "3343", "?"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"LANGUAGE\",DEMOGRAPHIC.\"DIAGNOSIS\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"3343\""]}
{"key": "9dd44561bfa5bd9f73dfe4899716bc2f", "format": {"table": [0, 1], "cond": [[0, 0, 0, 62296]], "agg_col": [[0, 9], [1, 2]], "sel": 0}, "question_refine": "for patient id 62296, specify the type of admission and icd9 code", "sql": "SELECT DEMOGRAPHIC.\"ADMISSION_TYPE\",DIAGNOSES.\"ICD9_CODE\" FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"62296\"", "question_refine_tok": ["for", "patient", "i", "d", "62296", ",", "specify", "the", "type", "of", "admission", "and", "icd9", "code"], "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\"", "=", "\"62296\""]}
{"key": "a56ec4b79f7a126662d66143bb58778c", "format": {"table": [0], "cond": [[0, 0, 0, 62296]], "agg_col": [[0, 11], [0, 17]], "sel": 0}, "question_refine": "when did patient id 62296 die? specify date of death and insurance", "sql": "SELECT DEMOGRAPHIC.\"INSURANCE\",DEMOGRAPHIC.\"DOD\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"62296\"", "question_refine_tok": ["when", "did", "patient", "i", "d", "62296", "die", "?", "specify", "date", "of", "death", "and", "insurance"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"INSURANCE\",DEMOGRAPHIC.\"DOD\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"62296\""]}
{"key": "9dd26663715f8b95ce884e287fa2cf46", "format": {"table": [0], "cond": [[0, 0, 0, 15898]], "agg_col": [[0, 3], [0, 14]], "sel": 0}, "question_refine": "provide me the marital status and location of admission for patient with patient id 15898.", "sql": "SELECT DEMOGRAPHIC.\"MARITAL_STATUS\",DEMOGRAPHIC.\"ADMISSION_LOCATION\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"15898\"", "question_refine_tok": ["provide", "me", "the", "marital", "status", "and", "location", "of", "admission", "for", "patient", "with", "patient", "i", "d", "15898", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"MARITAL_STATUS\",DEMOGRAPHIC.\"ADMISSION_LOCATION\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"15898\""]}
{"key": "a54ae2601c44ed2b62c5ebb49a3e2bc1", "format": {"table": [0], "cond": [[0, 0, 0, 15898]], "agg_col": [[0, 6], [0, 11]], "sel": 0}, "question_refine": "what is the gender and insurance of patient id 15898?", "sql": "SELECT DEMOGRAPHIC.\"GENDER\",DEMOGRAPHIC.\"INSURANCE\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"15898\"", "question_refine_tok": ["what", "is", "the", "gender", "and", "insurance", "of", "patient", "i", "d", "15898", "?"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"GENDER\",DEMOGRAPHIC.\"INSURANCE\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"15898\""]}
{"key": "9443e783a3381f9fb38fb35508104e41", "format": {"table": [0], "cond": [[0, 0, 0, 15898]], "agg_col": [[0, 9], [0, 21]], "sel": 0}, "question_refine": "for patient id 15898, specify the type of admission along-with discharge time.", "sql": "SELECT DEMOGRAPHIC.\"ADMISSION_TYPE\",DEMOGRAPHIC.\"DISCHTIME\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"15898\"", "question_refine_tok": ["for", "patient", "i", "d", "15898", ",", "specify", "the", "type", "of", "admission", "along", "-", "with", "discharge", "time", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"ADMISSION_TYPE\",DEMOGRAPHIC.\"DISCHTIME\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"15898\""]}
{"key": "a694708e8c8e1e881b4f7f3ba9eb3515", "format": {"table": [0], "cond": [[0, 0, 0, 15898]], "agg_col": [[0, 11], [0, 15]], "sel": 0}, "question_refine": "specify the discharge location and insurance details of patients id 15898", "sql": "SELECT DEMOGRAPHIC.\"INSURANCE\",DEMOGRAPHIC.\"DISCHARGE_LOCATION\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"15898\"", "question_refine_tok": ["specify", "the", "discharge", "location", "and", "insurance", "details", "of", "patients", "i", "d", "15898"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"INSURANCE\",DEMOGRAPHIC.\"DISCHARGE_LOCATION\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"15898\""]}
{"key": "bb0ca9729b899a9e0d95157686fd1e6d", "format": {"table": [0, 4], "cond": [[0, 0, 0, 7273]], "agg_col": [[0, 9], [4, 4]], "sel": 0}, "question_refine": "provide me the type of admission and abnormal lab test status for the patient with patient id 7273.", "sql": "SELECT DEMOGRAPHIC.\"ADMISSION_TYPE\",LAB.\"FLAG\" FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"7273\"", "question_refine_tok": ["provide", "me", "the", "type", "of", "admission", "and", "abnormal", "lab", "test", "status", "for", "the", "patient", "with", "patient", "i", "d", "7273", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"ADMISSION_TYPE\",LAB.\"FLAG\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"7273\""]}
{"key": "0a1214e9a3a0b594551a1bfd09e5ab34", "format": {"table": [0], "cond": [[0, 0, 0, 8990]], "agg_col": [[0, 11], [0, 16]], "sel": 0}, "question_refine": "tell me the primary disease and health insurance of patient with patient id 8990.", "sql": "SELECT DEMOGRAPHIC.\"INSURANCE\",DEMOGRAPHIC.\"DIAGNOSIS\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"8990\"", "question_refine_tok": ["tell", "me", "the", "primary", "disease", "and", "health", "insurance", "of", "patient", "with", "patient", "i", "d", "8990", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"INSURANCE\",DEMOGRAPHIC.\"DIAGNOSIS\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"8990\""]}
{"key": "83e3314b9aa82aaf732ff1c45a51d195", "format": {"table": [0], "cond": [[0, 0, 0, 74032]], "agg_col": [[0, 3], [0, 8]], "sel": 0}, "question_refine": "is the subject id 74032 married, and what is his religion?", "sql": "SELECT DEMOGRAPHIC.\"MARITAL_STATUS\",DEMOGRAPHIC.\"RELIGION\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"74032\"", "question_refine_tok": ["is", "the", "subject", "i", "d", "74032", "married", ",", "and", "what", "is", "his", "religion", "?"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"MARITAL_STATUS\",DEMOGRAPHIC.\"RELIGION\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"74032\""]}
{"key": "0ffc8a41b8b94e7bc01da17aac9180bf", "format": {"table": [0], "cond": [[0, 0, 0, 74032]], "agg_col": [[0, 8], [0, 17]], "sel": 0}, "question_refine": "for patient id 74032, specify the religion and date of death", "sql": "SELECT DEMOGRAPHIC.\"RELIGION\",DEMOGRAPHIC.\"DOD\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"74032\"", "question_refine_tok": ["for", "patient", "i", "d", "74032", ",", "specify", "the", "religion", "and", "date", "of", "death"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"RELIGION\",DEMOGRAPHIC.\"DOD\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"74032\""]}
{"key": "96eb14b8712f7434b707c60b571e1fab", "format": {"table": [0, 1], "cond": [[0, 0, 0, 74032]], "agg_col": [[0, 9], [1, 4]], "sel": 0}, "question_refine": "report me about the type of admission and long title of diagnoses for patient with patient id 74032.", "sql": "SELECT DEMOGRAPHIC.\"ADMISSION_TYPE\",DIAGNOSES.\"LONG_TITLE\" FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"74032\"", "question_refine_tok": ["report", "me", "about", "the", "type", "of", "admission", "and", "long", "title", "of", "diagnoses", "for", "patient", "with", "patient", "i", "d", "74032", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"ADMISSION_TYPE\",DIAGNOSES.\"LONG_TITLE\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"74032\""]}
{"key": "8a5fa1893e263b7824be6154da85bc46", "format": {"table": [1, 3], "cond": [[1, 0, 0, 74032]], "agg_col": [[1, 3], [3, 3]], "sel": 0}, "question_refine": "for patient id 74032, specify the icd9 code and type of drug he was treated with.", "sql": "SELECT DIAGNOSES.\"SHORT_TITLE\",PRESCRIPTIONS.\"DRUG_TYPE\" FROM DIAGNOSES INNER JOIN PRESCRIPTIONS on DIAGNOSES.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DIAGNOSES.\"SUBJECT_ID\" = \"74032\"", "question_refine_tok": ["for", "patient", "i", "d", "74032", ",", "specify", "the", "icd9", "code", "and", "type", "of", "drug", "he", "was", "treated", "with", "."], "sql_tok": ["SELECT", "DIAGNOSES.\"SHORT_TITLE\",PRESCRIPTIONS.\"DRUG_TYPE\"", "FROM", "DIAGNOSES", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DIAGNOSES.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DIAGNOSES.\"SUBJECT_ID\"", "=", "\"74032\""]}
{"key": "8eb82af011a6e0a42adfe3d93215d014", "format": {"table": [0], "cond": [[0, 0, 0, 21796]], "agg_col": [[0, 3], [0, 5]], "sel": 0}, "question_refine": "give me the marital status and date of birth of subject id 21796.", "sql": "SELECT DEMOGRAPHIC.\"MARITAL_STATUS\",DEMOGRAPHIC.\"DOB\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"21796\"", "question_refine_tok": ["give", "me", "the", "marital", "status", "and", "date", "of", "birth", "of", "subject", "i", "d", "21796", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"MARITAL_STATUS\",DEMOGRAPHIC.\"DOB\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"21796\""]}
{"key": "9cfe1f468ae3569a8653122b46b2dce5", "format": {"table": [0], "cond": [[0, 0, 0, 21796]], "agg_col": [[0, 3], [0, 12]], "sel": 0}, "question_refine": "tell me the ethnic background and marital status of patient with patient id 21796.", "sql": "SELECT DEMOGRAPHIC.\"MARITAL_STATUS\",DEMOGRAPHIC.\"ETHNICITY\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"21796\"", "question_refine_tok": ["tell", "me", "the", "ethnic", "background", "and", "marital", "status", "of", "patient", "with", "patient", "i", "d", "21796", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"MARITAL_STATUS\",DEMOGRAPHIC.\"ETHNICITY\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"21796\""]}
{"key": "8afc8483734580cedaa6752df314019b", "format": {"table": [0, 2], "cond": [[0, 0, 0, 21796]], "agg_col": [[0, 9], [2, 2]], "sel": 0}, "question_refine": "give the admission type and procedure icd9 code of subject id 21796.", "sql": "SELECT DEMOGRAPHIC.\"ADMISSION_TYPE\",PROCEDURES.\"ICD9_CODE\" FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"21796\"", "question_refine_tok": ["give", "the", "admission", "type", "and", "procedure", "icd9", "code", "of", "subject", "i", "d", "21796", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"ADMISSION_TYPE\",PROCEDURES.\"ICD9_CODE\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"21796\""]}
{"key": "a6a732ecc77a93f6fac9453d69cce42b", "format": {"table": [0, 1], "cond": [[0, 0, 0, 21796]], "agg_col": [[0, 11], [1, 2]], "sel": 0}, "question_refine": "what is the insurance and diagnosis icd9 code of subject id 21796?", "sql": "SELECT DEMOGRAPHIC.\"INSURANCE\",DIAGNOSES.\"ICD9_CODE\" FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"21796\"", "question_refine_tok": ["what", "is", "the", "insurance", "and", "diagnosis", "icd9", "code", "of", "subject", "i", "d", "21796", "?"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"INSURANCE\",DIAGNOSES.\"ICD9_CODE\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"21796\""]}
{"key": "a76a171c5f287a62a48890fd64927138", "format": {"table": [0], "cond": [[0, 0, 0, 3623]], "agg_col": [[0, 7], [0, 13]], "sel": 0}, "question_refine": "find me the death status and primary language that patient with patient id 3623 prefers.", "sql": "SELECT DEMOGRAPHIC.\"LANGUAGE\",DEMOGRAPHIC.\"EXPIRE_FLAG\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"3623\"", "question_refine_tok": ["find", "me", "the", "death", "status", "and", "primary", "language", "that", "patient", "with", "patient", "i", "d", "3623", "prefers", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"LANGUAGE\",DEMOGRAPHIC.\"EXPIRE_FLAG\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"3623\""]}
{"key": "83d32631dfda27dba407f6d734b73fa0", "format": {"table": [0], "cond": [[0, 0, 0, 3623]], "agg_col": [[0, 12], [0, 16]], "sel": 0}, "question_refine": "specify the ethnic origin of patient id 3623 along-with primary disease", "sql": "SELECT DEMOGRAPHIC.\"ETHNICITY\",DEMOGRAPHIC.\"DIAGNOSIS\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"3623\"", "question_refine_tok": ["specify", "the", "ethnic", "origin", "of", "patient", "i", "d", "3623", "along", "-", "with", "primary", "disease"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"ETHNICITY\",DEMOGRAPHIC.\"DIAGNOSIS\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"3623\""]}
{"key": "0d961118addaebaa19d6836fa18f8533", "format": {"table": [0, 2], "cond": [[0, 0, 0, 3623]], "agg_col": [[0, 13], [2, 3]], "sel": 0}, "question_refine": "what is the death status and procedure for the patient id 3623?", "sql": "SELECT DEMOGRAPHIC.\"EXPIRE_FLAG\",PROCEDURES.\"SHORT_TITLE\" FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"3623\"", "question_refine_tok": ["what", "is", "the", "death", "status", "and", "procedure", "for", "the", "patient", "i", "d", "3623", "?"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"EXPIRE_FLAG\",PROCEDURES.\"SHORT_TITLE\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"3623\""]}
{"key": "0937cf4727c2462f5e8abdd61cd9d4ae", "format": {"table": [0], "cond": [[0, 0, 0, 94762]], "agg_col": [[0, 17], [0, 20]], "sel": 0}, "question_refine": "find the time of admission and date of death for patient with patient id 94762.", "sql": "SELECT DEMOGRAPHIC.\"DOD\",DEMOGRAPHIC.\"ADMITTIME\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"94762\"", "question_refine_tok": ["find", "the", "time", "of", "admission", "and", "date", "of", "death", "for", "patient", "with", "patient", "i", "d", "94762", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DOD\",DEMOGRAPHIC.\"ADMITTIME\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"94762\""]}
{"key": "b9aa179b2e1b13244a6c6d611d1c568b", "format": {"table": [2, 3], "cond": [[2, 0, 0, 52012]], "agg_col": [[2, 2], [3, 3]], "sel": 0}, "question_refine": "for patient id 52012, specify icd9 code and drug type he was treated with. ", "sql": "SELECT PROCEDURES.\"ICD9_CODE\",PRESCRIPTIONS.\"DRUG_TYPE\" FROM PROCEDURES INNER JOIN PRESCRIPTIONS on PROCEDURES.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE PROCEDURES.\"SUBJECT_ID\" = \"52012\"", "question_refine_tok": ["for", "patient", "i", "d", "52012", ",", "specify", "icd9", "code", "and", "drug", "type", "he", "was", "treated", "with", "."], "sql_tok": ["SELECT", "PROCEDURES.\"ICD9_CODE\",PRESCRIPTIONS.\"DRUG_TYPE\"", "FROM", "PROCEDURES", "INNER", "JOIN", "PRESCRIPTIONS", "on", "PROCEDURES.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "PROCEDURES.\"SUBJECT_ID\"", "=", "\"52012\""]}
{"key": "02c34ef8864566dbd0a9c9ad006c1b21", "format": {"table": [0], "cond": [[0, 0, 0, 813]], "agg_col": [[0, 16], [0, 20]], "sel": 0}, "question_refine": "find the primary disease and admission time of subject id 813.", "sql": "SELECT DEMOGRAPHIC.\"DIAGNOSIS\",DEMOGRAPHIC.\"ADMITTIME\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"813\"", "question_refine_tok": ["find", "the", "primary", "disease", "and", "admission", "time", "of", "subject", "i", "d", "813", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DIAGNOSIS\",DEMOGRAPHIC.\"ADMITTIME\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"813\""]}
{"key": "9caa2cf0a890f946d83543002a038823", "format": {"table": [0], "cond": [[0, 0, 0, 18480]], "agg_col": [[0, 3]], "sel": 0}, "question_refine": "specify the marital status of patient id 18480", "sql": "SELECT DEMOGRAPHIC.\"MARITAL_STATUS\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"18480\"", "question_refine_tok": ["specify", "the", "marital", "status", "of", "patient", "i", "d", "18480"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"MARITAL_STATUS\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"18480\""]}
{"key": "8df86af35155206db971854cf41e6139", "format": {"table": [2], "cond": [[2, 0, 0, 18480]], "agg_col": [[2, 3]], "sel": 0}, "question_refine": "specify the icd9 code for patient id 18480", "sql": "SELECT PROCEDURES.\"SHORT_TITLE\" FROM PROCEDURES WHERE PROCEDURES.\"SUBJECT_ID\" = \"18480\"", "question_refine_tok": ["specify", "the", "icd9", "code", "for", "patient", "i", "d", "18480"], "sql_tok": ["SELECT", "PROCEDURES.\"SHORT_TITLE\"", "FROM", "PROCEDURES", "WHERE", "PROCEDURES.\"SUBJECT_ID\"", "=", "\"18480\""]}
{"key": "96c7391dfa5656e7563b51eacaee15a7", "format": {"table": [0, 4], "cond": [[0, 0, 0, 18480]], "agg_col": [[0, 9], [4, 6]], "sel": 0}, "question_refine": "find out the type of admission and lab test ordered for patient with patient id 18480.", "sql": "SELECT DEMOGRAPHIC.\"ADMISSION_TYPE\",LAB.\"LABEL\" FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"18480\"", "question_refine_tok": ["find", "out", "the", "type", "of", "admission", "and", "lab", "test", "ordered", "for", "patient", "with", "patient", "i", "d", "18480", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"ADMISSION_TYPE\",LAB.\"LABEL\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"18480\""]}
{"key": "0d831e485ec42f39a9ea116cfdbc75d8", "format": {"table": [0, 2], "cond": [[0, 0, 0, 18480]], "agg_col": [[0, 16], [2, 2]], "sel": 0}, "question_refine": "specify primary disease and icd9 code of patient id 18480", "sql": "SELECT DEMOGRAPHIC.\"DIAGNOSIS\",PROCEDURES.\"ICD9_CODE\" FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"18480\"", "question_refine_tok": ["specify", "primary", "disease", "and", "icd9", "code", "of", "patient", "i", "d", "18480"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DIAGNOSIS\",PROCEDURES.\"ICD9_CODE\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"18480\""]}
{"key": "9eb795c180ef3542b20bf25bf1068a44", "format": {"table": [0], "cond": [[0, 0, 0, 23602]], "agg_col": [[0, 4], [0, 10]], "sel": 0}, "question_refine": "specify the age of patient id 23602 along-with duration of hospital stay", "sql": "SELECT DEMOGRAPHIC.\"AGE\",DEMOGRAPHIC.\"DAYS_STAY\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"23602\"", "question_refine_tok": ["specify", "the", "age", "of", "patient", "i", "d", "23602", "along", "-", "with", "duration", "of", "hospital", "stay"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"AGE\",DEMOGRAPHIC.\"DAYS_STAY\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"23602\""]}
{"key": "8238d13af1c7221b7d779d9fef77afac", "format": {"table": [0], "cond": [[0, 0, 0, 990]], "agg_col": [[0, 6], [0, 10]], "sel": 0}, "question_refine": "what is the gender and how many days have subject id 990 had stayed in the hospital?", "sql": "SELECT DEMOGRAPHIC.\"GENDER\",DEMOGRAPHIC.\"DAYS_STAY\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"990\"", "question_refine_tok": ["what", "is", "the", "gender", "and", "how", "many", "days", "have", "subject", "i", "d", "990", "had", "stayed", "in", "the", "hospital", "?"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"GENDER\",DEMOGRAPHIC.\"DAYS_STAY\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"990\""]}
{"key": "85e956546e153bf735b2920719b34d1a", "format": {"table": [0], "cond": [[0, 0, 0, 16438]], "agg_col": [[0, 12]], "sel": 0}, "question_refine": "which ethnic background does the patient with patient id 16438 belong to?", "sql": "SELECT DEMOGRAPHIC.\"ETHNICITY\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"16438\"", "question_refine_tok": ["which", "ethnic", "background", "does", "the", "patient", "with", "patient", "i", "d", "16438", "belong", "to", "?"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"ETHNICITY\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"16438\""]}
{"key": "8b62448995e510e40daf7f3d776d9ce3", "format": {"table": [0], "cond": [[0, 0, 0, 16438]], "agg_col": [[0, 5], [0, 9]], "sel": 0}, "question_refine": "specify the birthdate and admission type of patient id 16438", "sql": "SELECT DEMOGRAPHIC.\"DOB\",DEMOGRAPHIC.\"ADMISSION_TYPE\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"16438\"", "question_refine_tok": ["specify", "the", "birthdate", "and", "admission", "type", "of", "patient", "i", "d", "16438"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DOB\",DEMOGRAPHIC.\"ADMISSION_TYPE\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"16438\""]}
{"key": "9261992dc4b198991f00da4ec688e081", "format": {"table": [0, 1], "cond": [[0, 0, 0, 9271]], "agg_col": [[0, 11], [1, 3]], "sel": 0}, "question_refine": "find out the short title of diagnoses and health insurance by which patient with patient id 9271 is covered.", "sql": "SELECT DEMOGRAPHIC.\"INSURANCE\",DIAGNOSES.\"SHORT_TITLE\" FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"9271\"", "question_refine_tok": ["find", "out", "the", "short", "title", "of", "diagnoses", "and", "health", "insurance", "by", "which", "patient", "with", "patient", "i", "d", "9271", "is", "covered", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"INSURANCE\",DIAGNOSES.\"SHORT_TITLE\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"9271\""]}
{"key": "8298e685eb1bddee9cd3852aeeac2591", "format": {"table": [0], "cond": [[0, 0, 0, 2110]], "agg_col": [[0, 2]], "sel": 0}, "question_refine": "tell me the name of patient with patient id 2110.", "sql": "SELECT DEMOGRAPHIC.\"NAME\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"2110\"", "question_refine_tok": ["tell", "me", "the", "name", "of", "patient", "with", "patient", "i", "d", "2110", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"NAME\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"2110\""]}
{"key": "ae0a0d761414ab17b03de7bb99fefdf0", "format": {"table": [0, 4], "cond": [[0, 0, 0, 2110]], "agg_col": [[0, 2], [4, 8]], "sel": 0}, "question_refine": "for patient id 2110, specify name of patient and lab test category", "sql": "SELECT DEMOGRAPHIC.\"NAME\",LAB.\"CATEGORY\" FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"2110\"", "question_refine_tok": ["for", "patient", "i", "d", "2110", ",", "specify", "name", "of", "patient", "and", "lab", "test", "category"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"NAME\",LAB.\"CATEGORY\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"2110\""]}
{"key": "911a7e18c4158df6d085cde9accd23fa", "format": {"table": [0], "cond": [[0, 0, 0, 2110]], "agg_col": [[0, 6], [0, 11]], "sel": 0}, "question_refine": "find the gender of subject id 2110 and what type of insurance he has?", "sql": "SELECT DEMOGRAPHIC.\"GENDER\",DEMOGRAPHIC.\"INSURANCE\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"2110\"", "question_refine_tok": ["find", "the", "gender", "of", "subject", "i", "d", "2110", "and", "what", "type", "of", "insurance", "he", "has", "?"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"GENDER\",DEMOGRAPHIC.\"INSURANCE\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"2110\""]}
{"key": "870d86f73c268c7bc4250688a84e6019", "format": {"table": [0, 1], "cond": [[0, 0, 0, 2110]], "agg_col": [[0, 16], [1, 2]], "sel": 0}, "question_refine": "let me know the diagnoses icd9 code and primary disease of patient with patient id 2110.", "sql": "SELECT DEMOGRAPHIC.\"DIAGNOSIS\",DIAGNOSES.\"ICD9_CODE\" FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"2110\"", "question_refine_tok": ["let", "me", "know", "the", "diagnoses", "icd9", "code", "and", "primary", "disease", "of", "patient", "with", "patient", "i", "d", "2110", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DIAGNOSIS\",DIAGNOSES.\"ICD9_CODE\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"2110\""]}
{"key": "858020d1729895a7067c676d9f0fb0cd", "format": {"table": [0], "cond": [[0, 0, 0, 42820]], "agg_col": [[0, 6], [0, 13]], "sel": 0}, "question_refine": "specify gender and death status of patient id 42820", "sql": "SELECT DEMOGRAPHIC.\"GENDER\",DEMOGRAPHIC.\"EXPIRE_FLAG\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"42820\"", "question_refine_tok": ["specify", "gender", "and", "death", "status", "of", "patient", "i", "d", "42820"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"GENDER\",DEMOGRAPHIC.\"EXPIRE_FLAG\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"42820\""]}
{"key": "94b7c34d08a1a683e0a44fc75d03d1ed", "format": {"table": [0, 3], "cond": [[0, 0, 0, 42820]], "agg_col": [[0, 15], [3, 2]], "sel": 0}, "question_refine": "what is the discharge location and icu stay id of subject id 42820?", "sql": "SELECT DEMOGRAPHIC.\"DISCHARGE_LOCATION\",PRESCRIPTIONS.\"ICUSTAY_ID\" FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"42820\"", "question_refine_tok": ["what", "is", "the", "discharge", "location", "and", "icu", "stay", "i", "d", "of", "subject", "i", "d", "42820", "?"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DISCHARGE_LOCATION\",PRESCRIPTIONS.\"ICUSTAY_ID\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"42820\""]}
{"key": "960022d3a73ef1ab54324b4e160c949f", "format": {"table": [0], "cond": [[0, 0, 0, 55094]], "agg_col": [[0, 6], [0, 21]], "sel": 0}, "question_refine": "let me know the gender and time of discharge for patient with patient id 55094.", "sql": "SELECT DEMOGRAPHIC.\"GENDER\",DEMOGRAPHIC.\"DISCHTIME\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"55094\"", "question_refine_tok": ["let", "me", "know", "the", "gender", "and", "time", "of", "discharge", "for", "patient", "with", "patient", "i", "d", "55094", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"GENDER\",DEMOGRAPHIC.\"DISCHTIME\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"55094\""]}
{"key": "1065d3da85adb5db505b96073e508383", "format": {"table": [0], "cond": [[0, 0, 0, 55094]], "agg_col": [[0, 7], [0, 20]], "sel": 0}, "question_refine": "what is the language and admission time of patient id 55094?", "sql": "SELECT DEMOGRAPHIC.\"LANGUAGE\",DEMOGRAPHIC.\"ADMITTIME\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"55094\"", "question_refine_tok": ["what", "is", "the", "language", "and", "admission", "time", "of", "patient", "i", "d", "55094", "?"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"LANGUAGE\",DEMOGRAPHIC.\"ADMITTIME\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"55094\""]}
{"key": "970e9b038620185bfb8a00422ddfefa7", "format": {"table": [1], "cond": [[1, 0, 0, 55094]], "agg_col": [[1, 2], [1, 3]], "sel": 0}, "question_refine": "get the short title as well as the icd9 code of diagnoses for patient with patient id 55094.", "sql": "SELECT DIAGNOSES.\"ICD9_CODE\",DIAGNOSES.\"SHORT_TITLE\" FROM DIAGNOSES WHERE DIAGNOSES.\"SUBJECT_ID\" = \"55094\"", "question_refine_tok": ["get", "the", "short", "title", "as", "well", "as", "the", "icd9", "code", "of", "diagnoses", "for", "patient", "with", "patient", "i", "d", "55094", "."], "sql_tok": ["SELECT", "DIAGNOSES.\"ICD9_CODE\",DIAGNOSES.\"SHORT_TITLE\"", "FROM", "DIAGNOSES", "WHERE", "DIAGNOSES.\"SUBJECT_ID\"", "=", "\"55094\""]}
{"key": "84036ecc9eb02b475645146cd8e64bca", "format": {"table": [0], "cond": [[0, 0, 0, 29767]], "agg_col": [[0, 3], [0, 20]], "sel": 0}, "question_refine": "for patient id 29767, specify the time of admission and marital status. ", "sql": "SELECT DEMOGRAPHIC.\"MARITAL_STATUS\",DEMOGRAPHIC.\"ADMITTIME\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"29767\"", "question_refine_tok": ["for", "patient", "i", "d", "29767", ",", "specify", "the", "time", "of", "admission", "and", "marital", "status", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"MARITAL_STATUS\",DEMOGRAPHIC.\"ADMITTIME\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"29767\""]}
{"key": "0ec6a8fdb77b6d9be68aa50953e66199", "format": {"table": [3], "cond": [[3, 0, 0, 74345]], "agg_col": [[3, 4]], "sel": 0}, "question_refine": "which medication is prescribed to patient with patient id 74345?", "sql": "SELECT PRESCRIPTIONS.\"DRUG\" FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.\"SUBJECT_ID\" = \"74345\"", "question_refine_tok": ["which", "medication", "is", "prescribed", "to", "patient", "with", "patient", "i", "d", "74345", "?"], "sql_tok": ["SELECT", "PRESCRIPTIONS.\"DRUG\"", "FROM", "PRESCRIPTIONS", "WHERE", "PRESCRIPTIONS.\"SUBJECT_ID\"", "=", "\"74345\""]}
{"key": "049e61dadb202251580c94f778bee0d5", "format": {"table": [2], "cond": [[2, 0, 0, 10317]], "agg_col": [[2, 2]], "sel": 0}, "question_refine": "find the procedure icd9 code for patient with patient id 10317.", "sql": "SELECT PROCEDURES.\"ICD9_CODE\" FROM PROCEDURES WHERE PROCEDURES.\"SUBJECT_ID\" = \"10317\"", "question_refine_tok": ["find", "the", "procedure", "icd9", "code", "for", "patient", "with", "patient", "i", "d", "10317", "."], "sql_tok": ["SELECT", "PROCEDURES.\"ICD9_CODE\"", "FROM", "PROCEDURES", "WHERE", "PROCEDURES.\"SUBJECT_ID\"", "=", "\"10317\""]}
{"key": "acc06fbcc04ac4f4e727cebaf4062a9f", "format": {"table": [0], "cond": [[0, 0, 0, 10317]], "agg_col": [[0, 9], [0, 13]], "sel": 0}, "question_refine": "tell me the type of admission and status of death of patient with patient id 10317.", "sql": "SELECT DEMOGRAPHIC.\"ADMISSION_TYPE\",DEMOGRAPHIC.\"EXPIRE_FLAG\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"10317\"", "question_refine_tok": ["tell", "me", "the", "type", "of", "admission", "and", "status", "of", "death", "of", "patient", "with", "patient", "i", "d", "10317", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"ADMISSION_TYPE\",DEMOGRAPHIC.\"EXPIRE_FLAG\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"10317\""]}
{"key": "9c68aaf881646e162da53a41904bb65c", "format": {"table": [1, 2], "cond": [[1, 0, 0, 25167]], "agg_col": [[1, 3], [2, 3]], "sel": 0}, "question_refine": "tell me short title of both diagnoses and procedure for patient with patient id 25167.", "sql": "SELECT DIAGNOSES.\"SHORT_TITLE\",PROCEDURES.\"SHORT_TITLE\" FROM DIAGNOSES INNER JOIN PROCEDURES on DIAGNOSES.HADM_ID = PROCEDURES.HADM_ID WHERE DIAGNOSES.\"SUBJECT_ID\" = \"25167\"", "question_refine_tok": ["tell", "me", "short", "title", "of", "both", "diagnoses", "and", "procedure", "for", "patient", "with", "patient", "i", "d", "25167", "."], "sql_tok": ["SELECT", "DIAGNOSES.\"SHORT_TITLE\",PROCEDURES.\"SHORT_TITLE\"", "FROM", "DIAGNOSES", "INNER", "JOIN", "PROCEDURES", "on", "DIAGNOSES.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DIAGNOSES.\"SUBJECT_ID\"", "=", "\"25167\""]}
{"key": "0ad552d2835d64ccd539c3214e2b6d7a", "format": {"table": [0, 1], "cond": [[0, 0, 0, 42067]], "agg_col": [[0, 3], [1, 3]], "sel": 0}, "question_refine": "specify the icd9 code and marital status of patient id 42067", "sql": "SELECT DEMOGRAPHIC.\"MARITAL_STATUS\",DIAGNOSES.\"SHORT_TITLE\" FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"42067\"", "question_refine_tok": ["specify", "the", "icd9", "code", "and", "marital", "status", "of", "patient", "i", "d", "42067"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"MARITAL_STATUS\",DIAGNOSES.\"SHORT_TITLE\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"42067\""]}
{"key": "86e4d08413e5636824dff09159204fb6", "format": {"table": [0], "cond": [[0, 0, 0, 42067]], "agg_col": [[0, 9], [0, 14]], "sel": 0}, "question_refine": "get me the type and location of admission for patient with patient id 42067.", "sql": "SELECT DEMOGRAPHIC.\"ADMISSION_TYPE\",DEMOGRAPHIC.\"ADMISSION_LOCATION\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"42067\"", "question_refine_tok": ["get", "me", "the", "type", "and", "location", "of", "admission", "for", "patient", "with", "patient", "i", "d", "42067", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"ADMISSION_TYPE\",DEMOGRAPHIC.\"ADMISSION_LOCATION\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"42067\""]}
{"key": "0973408eb98d40424801e271ad64b414", "format": {"table": [0], "cond": [[0, 0, 0, 31066]], "agg_col": [[0, 4], [0, 6]], "sel": 0}, "question_refine": "tell me the age and gender of patient with patient id 31066.", "sql": "SELECT DEMOGRAPHIC.\"AGE\",DEMOGRAPHIC.\"GENDER\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"31066\"", "question_refine_tok": ["tell", "me", "the", "age", "and", "gender", "of", "patient", "with", "patient", "i", "d", "31066", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"AGE\",DEMOGRAPHIC.\"GENDER\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"31066\""]}
{"key": "852b7afdced4dc86dc87fd466e175e75", "format": {"table": [0], "cond": [[0, 0, 0, 31066]], "agg_col": [[0, 14], [0, 20]], "sel": 0}, "question_refine": "for patient id 31066, specify time and location of admission", "sql": "SELECT DEMOGRAPHIC.\"ADMISSION_LOCATION\",DEMOGRAPHIC.\"ADMITTIME\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"31066\"", "question_refine_tok": ["for", "patient", "i", "d", "31066", ",", "specify", "time", "and", "location", "of", "admission"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"ADMISSION_LOCATION\",DEMOGRAPHIC.\"ADMITTIME\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"31066\""]}
{"key": "9541bf65cdb398401106f5777b89c091", "format": {"table": [0], "cond": [[0, 0, 0, 99936]], "agg_col": [[0, 10], [0, 20]], "sel": 0}, "question_refine": "find out the admission time and days for which patient with patient id 99936 stayed in hospital.", "sql": "SELECT DEMOGRAPHIC.\"DAYS_STAY\",DEMOGRAPHIC.\"ADMITTIME\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"99936\"", "question_refine_tok": ["find", "out", "the", "admission", "time", "and", "days", "for", "which", "patient", "with", "patient", "i", "d", "99936", "stayed", "in", "hospital", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DAYS_STAY\",DEMOGRAPHIC.\"ADMITTIME\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"99936\""]}
{"key": "8356929e7065d7dfd4d5e6dace1ea0ea", "format": {"table": [0], "cond": [[0, 0, 0, 1121]], "agg_col": [[0, 9], [0, 13]], "sel": 0}, "question_refine": "what is the admission type and death status of patient id 1121?", "sql": "SELECT DEMOGRAPHIC.\"ADMISSION_TYPE\",DEMOGRAPHIC.\"EXPIRE_FLAG\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"1121\"", "question_refine_tok": ["what", "is", "the", "admission", "type", "and", "death", "status", "of", "patient", "i", "d", "1121", "?"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"ADMISSION_TYPE\",DEMOGRAPHIC.\"EXPIRE_FLAG\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"1121\""]}
{"key": "95f8a3f0cc5f6486ee39cf3575176b39", "format": {"table": [0], "cond": [[0, 0, 0, 30011]], "agg_col": [[0, 3], [0, 12]], "sel": 0}, "question_refine": "what is the marital status and the ethnic group of subject id 30011?", "sql": "SELECT DEMOGRAPHIC.\"MARITAL_STATUS\",DEMOGRAPHIC.\"ETHNICITY\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"30011\"", "question_refine_tok": ["what", "is", "the", "marital", "status", "and", "the", "ethnic", "group", "of", "subject", "i", "d", "30011", "?"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"MARITAL_STATUS\",DEMOGRAPHIC.\"ETHNICITY\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"30011\""]}
{"key": "8e3b5d9cb36613efab2204fe93749087", "format": {"table": [1, 2], "cond": [[1, 0, 0, 30011]], "agg_col": [[1, 4], [2, 4]], "sel": 0}, "question_refine": "for patient id 30011, specify the icd9 code and procedural long title.", "sql": "SELECT DIAGNOSES.\"LONG_TITLE\",PROCEDURES.\"LONG_TITLE\" FROM DIAGNOSES INNER JOIN PROCEDURES on DIAGNOSES.HADM_ID = PROCEDURES.HADM_ID WHERE DIAGNOSES.\"SUBJECT_ID\" = \"30011\"", "question_refine_tok": ["for", "patient", "i", "d", "30011", ",", "specify", "the", "icd9", "code", "and", "procedural", "long", "title", "."], "sql_tok": ["SELECT", "DIAGNOSES.\"LONG_TITLE\",PROCEDURES.\"LONG_TITLE\"", "FROM", "DIAGNOSES", "INNER", "JOIN", "PROCEDURES", "on", "DIAGNOSES.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DIAGNOSES.\"SUBJECT_ID\"", "=", "\"30011\""]}
{"key": "8921336d23bf3a3ede96a68bc5d3734d", "format": {"table": [0], "cond": [[0, 0, 0, 29541]], "agg_col": [[0, 15]], "sel": 0}, "question_refine": "find the location of discharge for patient with patient id 29541.", "sql": "SELECT DEMOGRAPHIC.\"DISCHARGE_LOCATION\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"29541\"", "question_refine_tok": ["find", "the", "location", "of", "discharge", "for", "patient", "with", "patient", "i", "d", "29541", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DISCHARGE_LOCATION\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"29541\""]}
{"key": "a87a6ac4913e7104cfdc88d987607f7a", "format": {"table": [0, 3], "cond": [[0, 0, 0, 81254]], "agg_col": [[0, 10], [3, 2]], "sel": 0}, "question_refine": "what is the days of hospital stay and icu stay id of the patient id 81254?", "sql": "SELECT DEMOGRAPHIC.\"DAYS_STAY\",PRESCRIPTIONS.\"ICUSTAY_ID\" FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"81254\"", "question_refine_tok": ["what", "is", "the", "days", "of", "hospital", "stay", "and", "icu", "stay", "i", "d", "of", "the", "patient", "i", "d", "81254", "?"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DAYS_STAY\",PRESCRIPTIONS.\"ICUSTAY_ID\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"81254\""]}
{"key": "86e3e3a08a930e116dd8720746f1458a", "format": {"table": [0, 1], "cond": [[0, 0, 0, 9575]], "agg_col": [[0, 16], [1, 3]], "sel": 0}, "question_refine": "provide me the primary disease and diagnosis short title of the patient with patient id 9575.", "sql": "SELECT DEMOGRAPHIC.\"DIAGNOSIS\",DIAGNOSES.\"SHORT_TITLE\" FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"9575\"", "question_refine_tok": ["provide", "me", "the", "primary", "disease", "and", "diagnosis", "short", "title", "of", "the", "patient", "with", "patient", "i", "d", "9575", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DIAGNOSIS\",DIAGNOSES.\"SHORT_TITLE\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"9575\""]}
{"key": "9c56b4c2897b0d7575a947df9de27348", "format": {"table": [0], "cond": [[0, 0, 0, 93033]], "agg_col": [[0, 4], [0, 9]], "sel": 0}, "question_refine": "find out the age and admission type for patient with patient id 93033.", "sql": "SELECT DEMOGRAPHIC.\"AGE\",DEMOGRAPHIC.\"ADMISSION_TYPE\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"93033\"", "question_refine_tok": ["find", "out", "the", "age", "and", "admission", "type", "for", "patient", "with", "patient", "i", "d", "93033", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"AGE\",DEMOGRAPHIC.\"ADMISSION_TYPE\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"93033\""]}
{"key": "9aa3166df35ac8dd6c2128b208797557", "format": {"table": [0], "cond": [[0, 0, 0, 17519]], "agg_col": [[0, 14], [0, 20]], "sel": 0}, "question_refine": "when was patient id 17519 admitted? specify time and location.", "sql": "SELECT DEMOGRAPHIC.\"ADMISSION_LOCATION\",DEMOGRAPHIC.\"ADMITTIME\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"17519\"", "question_refine_tok": ["when", "was", "patient", "i", "d", "17519", "admitted", "?", "specify", "time", "and", "location", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"ADMISSION_LOCATION\",DEMOGRAPHIC.\"ADMITTIME\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"17519\""]}
{"key": "059ccad9787c25c4d0b649ce90a7089a", "format": {"table": [0], "cond": [[0, 0, 0, 65652]], "agg_col": [[0, 4], [0, 16]], "sel": 0}, "question_refine": "tell me the age and primary disease of patient with patient id 65652.", "sql": "SELECT DEMOGRAPHIC.\"AGE\",DEMOGRAPHIC.\"DIAGNOSIS\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"65652\"", "question_refine_tok": ["tell", "me", "the", "age", "and", "primary", "disease", "of", "patient", "with", "patient", "i", "d", "65652", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"AGE\",DEMOGRAPHIC.\"DIAGNOSIS\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"65652\""]}
{"key": "8318a358e23fc3e43d9c6c3cb70e75af", "format": {"table": [0, 2], "cond": [[0, 0, 0, 71798]], "agg_col": [[0, 10], [2, 4]], "sel": 0}, "question_refine": "provide the duration of hospital stay and procedure title for subject id 71798.", "sql": "SELECT DEMOGRAPHIC.\"DAYS_STAY\",PROCEDURES.\"LONG_TITLE\" FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"71798\"", "question_refine_tok": ["provide", "the", "duration", "of", "hospital", "stay", "and", "procedure", "title", "for", "subject", "i", "d", "71798", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DAYS_STAY\",PROCEDURES.\"LONG_TITLE\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"71798\""]}
{"key": "0d0a62ed7c9bd62e584c9f5b260d9ea0", "format": {"table": [0], "cond": [[0, 0, 0, 24425]], "agg_col": [[0, 17]], "sel": 0}, "question_refine": "on which date did the patient with patient id 24425 die?", "sql": "SELECT DEMOGRAPHIC.\"DOD\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"24425\"", "question_refine_tok": ["on", "which", "date", "did", "the", "patient", "with", "patient", "i", "d", "24425", "die", "?"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DOD\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"24425\""]}
{"key": "920c86ed33b3bf35707a12f566236c34", "format": {"table": [2, 3], "cond": [[2, 0, 0, 24425]], "agg_col": [[2, 3], [3, 5]], "sel": 0}, "question_refine": "provide the procedure short title and drug code of subject id 24425.", "sql": "SELECT PROCEDURES.\"SHORT_TITLE\",PRESCRIPTIONS.\"FORMULARY_DRUG_CD\" FROM PROCEDURES INNER JOIN PRESCRIPTIONS on PROCEDURES.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE PROCEDURES.\"SUBJECT_ID\" = \"24425\"", "question_refine_tok": ["provide", "the", "procedure", "short", "title", "and", "drug", "code", "of", "subject", "i", "d", "24425", "."], "sql_tok": ["SELECT", "PROCEDURES.\"SHORT_TITLE\",PRESCRIPTIONS.\"FORMULARY_DRUG_CD\"", "FROM", "PROCEDURES", "INNER", "JOIN", "PRESCRIPTIONS", "on", "PROCEDURES.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "PROCEDURES.\"SUBJECT_ID\"", "=", "\"24425\""]}
{"key": "8f5493ee584c51f03ef9579a071809eb", "format": {"table": [4], "cond": [[4, 0, 0, 17787]], "agg_col": [[4, 6], [4, 8]], "sel": 0}, "question_refine": "provide the lab test name and lab test category for subject id 17787?", "sql": "SELECT LAB.\"LABEL\",LAB.\"CATEGORY\" FROM LAB WHERE LAB.\"SUBJECT_ID\" = \"17787\"", "question_refine_tok": ["provide", "the", "lab", "test", "name", "and", "lab", "test", "category", "for", "subject", "i", "d", "17787", "?"], "sql_tok": ["SELECT", "LAB.\"LABEL\",LAB.\"CATEGORY\"", "FROM", "LAB", "WHERE", "LAB.\"SUBJECT_ID\"", "=", "\"17787\""]}
{"key": "0c07221b2c2484620093c9a79cee3a13", "format": {"table": [0], "cond": [[0, 0, 0, 4589]], "agg_col": [[0, 3], [0, 16]], "sel": 0}, "question_refine": "tell me the marital status and primary disease of patient with patient id 4589.", "sql": "SELECT DEMOGRAPHIC.\"MARITAL_STATUS\",DEMOGRAPHIC.\"DIAGNOSIS\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"4589\"", "question_refine_tok": ["tell", "me", "the", "marital", "status", "and", "primary", "disease", "of", "patient", "with", "patient", "i", "d", "4589", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"MARITAL_STATUS\",DEMOGRAPHIC.\"DIAGNOSIS\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"4589\""]}
{"key": "07f0e3c655d09ea2d3886a5d981798d9", "format": {"table": [0], "cond": [[0, 0, 0, 4589]], "agg_col": [[0, 4], [0, 13]], "sel": 0}, "question_refine": "give me the age and death status of subject id 4589.", "sql": "SELECT DEMOGRAPHIC.\"AGE\",DEMOGRAPHIC.\"EXPIRE_FLAG\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"4589\"", "question_refine_tok": ["give", "me", "the", "age", "and", "death", "status", "of", "subject", "i", "d", "4589", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"AGE\",DEMOGRAPHIC.\"EXPIRE_FLAG\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"4589\""]}
{"key": "0d9c835c74f82a7ac15ff2fd3e62ff33", "format": {"table": [0], "cond": [[0, 0, 0, 4589]], "agg_col": [[0, 8], [0, 13]], "sel": 0}, "question_refine": "give the religion and death status of subject id 4589.", "sql": "SELECT DEMOGRAPHIC.\"RELIGION\",DEMOGRAPHIC.\"EXPIRE_FLAG\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"4589\"", "question_refine_tok": ["give", "the", "religion", "and", "death", "status", "of", "subject", "i", "d", "4589", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"RELIGION\",DEMOGRAPHIC.\"EXPIRE_FLAG\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"4589\""]}
{"key": "0efacb3835583867e1d4ae5ef2e93a42", "format": {"table": [0, 1], "cond": [[0, 0, 0, 4589]], "agg_col": [[0, 10], [1, 2]], "sel": 0}, "question_refine": "get me the diagnosis icd9 code and days for which the patient with patient id 4589 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\" = \"4589\"", "question_refine_tok": ["get", "me", "the", "diagnosis", "icd9", "code", "and", "days", "for", "which", "the", "patient", "with", "patient", "i", "d", "4589", "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\"", "=", "\"4589\""]}
{"key": "005e995d08f73daf175a5dc01609b2c4", "format": {"table": [0, 2], "cond": [[0, 0, 0, 4589]], "agg_col": [[0, 16], [2, 2]], "sel": 0}, "question_refine": "what is the primary disease and procedure icd9 code of the patient id 4589?", "sql": "SELECT DEMOGRAPHIC.\"DIAGNOSIS\",PROCEDURES.\"ICD9_CODE\" FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"4589\"", "question_refine_tok": ["what", "is", "the", "primary", "disease", "and", "procedure", "icd9", "code", "of", "the", "patient", "i", "d", "4589", "?"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DIAGNOSIS\",PROCEDURES.\"ICD9_CODE\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"4589\""]}
{"key": "92fb353d2314296f863997a8c3222e89", "format": {"table": [0, 1], "cond": [[0, 0, 0, 91588]], "agg_col": [[0, 9], [1, 3]], "sel": 0}, "question_refine": "specify the admission type and icd9 code of patient id 91588", "sql": "SELECT DEMOGRAPHIC.\"ADMISSION_TYPE\",DIAGNOSES.\"SHORT_TITLE\" FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"91588\"", "question_refine_tok": ["specify", "the", "admission", "type", "and", "icd9", "code", "of", "patient", "i", "d", "91588"], "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\"", "=", "\"91588\""]}
{"key": "0d3ca391f292a21d141383a2c31b76eb", "format": {"table": [0, 2], "cond": [[0, 0, 0, 91588]], "agg_col": [[0, 21], [2, 2]], "sel": 0}, "question_refine": "look for time of discharge and procedure icd9 code for patient with patient id 91588.", "sql": "SELECT DEMOGRAPHIC.\"DISCHTIME\",PROCEDURES.\"ICD9_CODE\" FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"91588\"", "question_refine_tok": ["look", "for", "time", "of", "discharge", "and", "procedure", "icd9", "code", "for", "patient", "with", "patient", "i", "d", "91588", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DISCHTIME\",PROCEDURES.\"ICD9_CODE\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"91588\""]}
{"key": "a8548cc3da3f7647e4b65fbcb65de4f3", "format": {"table": [0, 2], "cond": [[0, 0, 0, 7578]], "agg_col": [[0, 6], [2, 3]], "sel": 0}, "question_refine": "specify the gender and icd9 code for patient  id 7578", "sql": "SELECT DEMOGRAPHIC.\"GENDER\",PROCEDURES.\"SHORT_TITLE\" FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"7578\"", "question_refine_tok": ["specify", "the", "gender", "and", "icd9", "code", "for", "patient", " ", "i", "d", "7578"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"GENDER\",PROCEDURES.\"SHORT_TITLE\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"7578\""]}
{"key": "900f55c158193f37d975c8fdc34ff9ea", "format": {"table": [0], "cond": [[0, 0, 0, 76446]], "agg_col": [[0, 3], [0, 12]], "sel": 0}, "question_refine": "get the marital status and ethnic background for the patient with patient id 76446.", "sql": "SELECT DEMOGRAPHIC.\"MARITAL_STATUS\",DEMOGRAPHIC.\"ETHNICITY\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"76446\"", "question_refine_tok": ["get", "the", "marital", "status", "and", "ethnic", "background", "for", "the", "patient", "with", "patient", "i", "d", "76446", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"MARITAL_STATUS\",DEMOGRAPHIC.\"ETHNICITY\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"76446\""]}
{"key": "9c874fe6e6c7f98ee202077204a7da76", "format": {"table": [0], "cond": [[0, 0, 0, 84129]], "agg_col": [[0, 4], [0, 6]], "sel": 0}, "question_refine": "let me know the age and gender of patient with patient id 84129.", "sql": "SELECT DEMOGRAPHIC.\"AGE\",DEMOGRAPHIC.\"GENDER\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"84129\"", "question_refine_tok": ["let", "me", "know", "the", "age", "and", "gender", "of", "patient", "with", "patient", "i", "d", "84129", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"AGE\",DEMOGRAPHIC.\"GENDER\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"84129\""]}
{"key": "84b0290e9818cc962a5314dbfa000d95", "format": {"table": [0], "cond": [[0, 0, 0, 84129]], "agg_col": [[0, 6], [0, 20]], "sel": 0}, "question_refine": "tell me the time of admission and gender of patient with patient id 84129.", "sql": "SELECT DEMOGRAPHIC.\"GENDER\",DEMOGRAPHIC.\"ADMITTIME\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"84129\"", "question_refine_tok": ["tell", "me", "the", "time", "of", "admission", "and", "gender", "of", "patient", "with", "patient", "i", "d", "84129", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"GENDER\",DEMOGRAPHIC.\"ADMITTIME\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"84129\""]}
{"key": "0acae8b8eed1e67cb616c7a2daa79ff9", "format": {"table": [0], "cond": [[0, 0, 0, 17570]], "agg_col": [[0, 9], [0, 15]], "sel": 0}, "question_refine": "what is the admission type and discharge location of subject id 17570?", "sql": "SELECT DEMOGRAPHIC.\"ADMISSION_TYPE\",DEMOGRAPHIC.\"DISCHARGE_LOCATION\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"17570\"", "question_refine_tok": ["what", "is", "the", "admission", "type", "and", "discharge", "location", "of", "subject", "i", "d", "17570", "?"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"ADMISSION_TYPE\",DEMOGRAPHIC.\"DISCHARGE_LOCATION\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"17570\""]}
{"key": "9bc647942515a09bbe2ff57ebcd61548", "format": {"table": [0], "cond": [[0, 0, 0, 17570]], "agg_col": [[0, 13], [0, 20]], "sel": 0}, "question_refine": "what is the death status and admission time of the patient id 17570?", "sql": "SELECT DEMOGRAPHIC.\"EXPIRE_FLAG\",DEMOGRAPHIC.\"ADMITTIME\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"17570\"", "question_refine_tok": ["what", "is", "the", "death", "status", "and", "admission", "time", "of", "the", "patient", "i", "d", "17570", "?"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"EXPIRE_FLAG\",DEMOGRAPHIC.\"ADMITTIME\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"17570\""]}
{"key": "0c27eb4d99b5a50b55dcea73a2a9f54f", "format": {"table": [2], "cond": [[2, 0, 0, 14755]], "agg_col": [[2, 4]], "sel": 0}, "question_refine": "specify icd9 code for patient id 14755", "sql": "SELECT PROCEDURES.\"LONG_TITLE\" FROM PROCEDURES WHERE PROCEDURES.\"SUBJECT_ID\" = \"14755\"", "question_refine_tok": ["specify", "icd9", "code", "for", "patient", "i", "d", "14755"], "sql_tok": ["SELECT", "PROCEDURES.\"LONG_TITLE\"", "FROM", "PROCEDURES", "WHERE", "PROCEDURES.\"SUBJECT_ID\"", "=", "\"14755\""]}
{"key": "b9ab5cd512dc4b1ef951bf1b2ae7c4b4", "format": {"table": [0, 1], "cond": [[0, 0, 0, 14755]], "agg_col": [[0, 16], [1, 3]], "sel": 0}, "question_refine": "tell me the short title of diagnoses and the primary disease patient with patient id 14755 is suffering from.", "sql": "SELECT DEMOGRAPHIC.\"DIAGNOSIS\",DIAGNOSES.\"SHORT_TITLE\" FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"14755\"", "question_refine_tok": ["tell", "me", "the", "short", "title", "of", "diagnoses", "and", "the", "primary", "disease", "patient", "with", "patient", "i", "d", "14755", "is", "suffering", "from", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DIAGNOSIS\",DIAGNOSES.\"SHORT_TITLE\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"14755\""]}
{"key": "0db15c35e6c41cf480f6713995234237", "format": {"table": [0], "cond": [[0, 0, 0, 85673]], "agg_col": [[0, 14], [0, 20]], "sel": 0}, "question_refine": "when was subject id 85673 admitted and what is his admission location?", "sql": "SELECT DEMOGRAPHIC.\"ADMISSION_LOCATION\",DEMOGRAPHIC.\"ADMITTIME\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"85673\"", "question_refine_tok": ["when", "was", "subject", "i", "d", "85673", "admitted", "and", "what", "is", "his", "admission", "location", "?"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"ADMISSION_LOCATION\",DEMOGRAPHIC.\"ADMITTIME\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"85673\""]}
{"key": "a57641d52d641c6d2ad66a4940f1907d", "format": {"table": [0, 1], "cond": [[0, 0, 0, 85673]], "agg_col": [[0, 16], [1, 3]], "sel": 0}, "question_refine": "give the primary disease and diagnosis of subject id 85673.", "sql": "SELECT DEMOGRAPHIC.\"DIAGNOSIS\",DIAGNOSES.\"SHORT_TITLE\" FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"85673\"", "question_refine_tok": ["give", "the", "primary", "disease", "and", "diagnosis", "of", "subject", "i", "d", "85673", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DIAGNOSIS\",DIAGNOSES.\"SHORT_TITLE\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"85673\""]}
{"key": "883cbf3acbf8e13c98474bd9646d166c", "format": {"table": [0], "cond": [[0, 0, 0, 25543]], "agg_col": [[0, 9], [0, 14]], "sel": 0}, "question_refine": "find out the location and type of admission for patient with patient id 25543.", "sql": "SELECT DEMOGRAPHIC.\"ADMISSION_TYPE\",DEMOGRAPHIC.\"ADMISSION_LOCATION\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"25543\"", "question_refine_tok": ["find", "out", "the", "location", "and", "type", "of", "admission", "for", "patient", "with", "patient", "i", "d", "25543", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"ADMISSION_TYPE\",DEMOGRAPHIC.\"ADMISSION_LOCATION\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"25543\""]}
{"key": "92413ed17c3ba949012342e10ea2d3eb", "format": {"table": [0], "cond": [[0, 0, 0, 26285]], "agg_col": [[0, 11]], "sel": 0}, "question_refine": "specify the insurance type for patient id 26285", "sql": "SELECT DEMOGRAPHIC.\"INSURANCE\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"26285\"", "question_refine_tok": ["specify", "the", "insurance", "type", "for", "patient", "i", "d", "26285"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"INSURANCE\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"26285\""]}
{"key": "9fc8f707889402c55fd06f0f86b6dae0", "format": {"table": [0], "cond": [[0, 0, 0, 26285]], "agg_col": [[0, 15], [0, 16]], "sel": 0}, "question_refine": "for patient id 26285, specify primary disease and discharge location", "sql": "SELECT DEMOGRAPHIC.\"DISCHARGE_LOCATION\",DEMOGRAPHIC.\"DIAGNOSIS\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"26285\"", "question_refine_tok": ["for", "patient", "i", "d", "26285", ",", "specify", "primary", "disease", "and", "discharge", "location"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DISCHARGE_LOCATION\",DEMOGRAPHIC.\"DIAGNOSIS\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"26285\""]}
{"key": "08dc87e4a9287db3def0945eeed8fee6", "format": {"table": [0], "cond": [[0, 0, 0, 18351]], "agg_col": [[0, 10], [0, 15]], "sel": 0}, "question_refine": "let me know the discharge location and number of days for which patient with patient id 18351 was hospitalized.", "sql": "SELECT DEMOGRAPHIC.\"DAYS_STAY\",DEMOGRAPHIC.\"DISCHARGE_LOCATION\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"18351\"", "question_refine_tok": ["let", "me", "know", "the", "discharge", "location", "and", "number", "of", "days", "for", "which", "patient", "with", "patient", "i", "d", "18351", "was", "hospitalized", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DAYS_STAY\",DEMOGRAPHIC.\"DISCHARGE_LOCATION\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"18351\""]}
{"key": "9fb423ffd840af9eb8e6369bfd236cbd", "format": {"table": [1], "cond": [[1, 0, 0, 18351]], "agg_col": [[1, 2], [1, 4]], "sel": 0}, "question_refine": "what is the diagnosis icd9 code and diagnosis long title of subject id 18351?", "sql": "SELECT DIAGNOSES.\"ICD9_CODE\",DIAGNOSES.\"LONG_TITLE\" FROM DIAGNOSES WHERE DIAGNOSES.\"SUBJECT_ID\" = \"18351\"", "question_refine_tok": ["what", "is", "the", "diagnosis", "icd9", "code", "and", "diagnosis", "long", "title", "of", "subject", "i", "d", "18351", "?"], "sql_tok": ["SELECT", "DIAGNOSES.\"ICD9_CODE\",DIAGNOSES.\"LONG_TITLE\"", "FROM", "DIAGNOSES", "WHERE", "DIAGNOSES.\"SUBJECT_ID\"", "=", "\"18351\""]}
{"key": "84d8e114a207be5d52e10d970eb77b2d", "format": {"table": [1], "cond": [[1, 0, 0, 18351]], "agg_col": [[1, 3], [1, 4]], "sel": 0}, "question_refine": "let me know both the short title and long title of diagnoses for the patient with patient id 18351.", "sql": "SELECT DIAGNOSES.\"SHORT_TITLE\",DIAGNOSES.\"LONG_TITLE\" FROM DIAGNOSES WHERE DIAGNOSES.\"SUBJECT_ID\" = \"18351\"", "question_refine_tok": ["let", "me", "know", "both", "the", "short", "title", "and", "long", "title", "of", "diagnoses", "for", "the", "patient", "with", "patient", "i", "d", "18351", "."], "sql_tok": ["SELECT", "DIAGNOSES.\"SHORT_TITLE\",DIAGNOSES.\"LONG_TITLE\"", "FROM", "DIAGNOSES", "WHERE", "DIAGNOSES.\"SUBJECT_ID\"", "=", "\"18351\""]}
{"key": "03eedd461511a1af0baa8f05815fca31", "format": {"table": [0], "cond": [[0, 0, 0, 17595]], "agg_col": [[0, 9], [0, 20]], "sel": 0}, "question_refine": "find out the type and time of admission for the patient with patient id 17595.", "sql": "SELECT DEMOGRAPHIC.\"ADMISSION_TYPE\",DEMOGRAPHIC.\"ADMITTIME\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"17595\"", "question_refine_tok": ["find", "out", "the", "type", "and", "time", "of", "admission", "for", "the", "patient", "with", "patient", "i", "d", "17595", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"ADMISSION_TYPE\",DEMOGRAPHIC.\"ADMITTIME\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"17595\""]}
{"key": "a488c5129d8241bbe3dd4224e84a6966", "format": {"table": [0], "cond": [[0, 0, 0, 18372]], "agg_col": [[0, 11]], "sel": 0}, "question_refine": "what is the insurance of patient id 18372?", "sql": "SELECT DEMOGRAPHIC.\"INSURANCE\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"18372\"", "question_refine_tok": ["what", "is", "the", "insurance", "of", "patient", "i", "d", "18372", "?"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"INSURANCE\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"18372\""]}
{"key": "02f8dd7774d30589e41d84979f58ce9e", "format": {"table": [0, 2], "cond": [[0, 0, 0, 18372]], "agg_col": [[0, 9], [2, 3]], "sel": 0}, "question_refine": "let me know the short title of procedure and type of admission for patient with patient id 18372.", "sql": "SELECT DEMOGRAPHIC.\"ADMISSION_TYPE\",PROCEDURES.\"SHORT_TITLE\" FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"18372\"", "question_refine_tok": ["let", "me", "know", "the", "short", "title", "of", "procedure", "and", "type", "of", "admission", "for", "patient", "with", "patient", "i", "d", "18372", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"ADMISSION_TYPE\",PROCEDURES.\"SHORT_TITLE\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"18372\""]}
{"key": "ac54a82fadd7f1ed60b5f097dcccc668", "format": {"table": [0, 4], "cond": [[0, 0, 0, 18372]], "agg_col": [[0, 10], [4, 8]], "sel": 0}, "question_refine": "calculate the days of hospital admission and lab test category for patient with patient id 18372.", "sql": "SELECT DEMOGRAPHIC.\"DAYS_STAY\",LAB.\"CATEGORY\" FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"18372\"", "question_refine_tok": ["calculate", "the", "days", "of", "hospital", "admission", "and", "lab", "test", "category", "for", "patient", "with", "patient", "i", "d", "18372", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DAYS_STAY\",LAB.\"CATEGORY\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"18372\""]}
{"key": "ac525e56df0431370a3602e15ee25b9b", "format": {"table": [0], "cond": [[0, 0, 0, 43220]], "agg_col": [[0, 9]], "sel": 0}, "question_refine": "which type of admission did the patient with patient id 43220 have?", "sql": "SELECT DEMOGRAPHIC.\"ADMISSION_TYPE\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"43220\"", "question_refine_tok": ["which", "type", "of", "admission", "did", "the", "patient", "with", "patient", "i", "d", "43220", "have", "?"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"ADMISSION_TYPE\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"43220\""]}
{"key": "057a0a3ac122c6beeb2e96672cd199bb", "format": {"table": [0], "cond": [[0, 0, 0, 15061]], "agg_col": [[0, 6]], "sel": 0}, "question_refine": "what is the gender of the patient id 15061?", "sql": "SELECT DEMOGRAPHIC.\"GENDER\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"15061\"", "question_refine_tok": ["what", "is", "the", "gender", "of", "the", "patient", "i", "d", "15061", "?"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"GENDER\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"15061\""]}
{"key": "0544e73e214a56960c9f5b987528deae", "format": {"table": [0], "cond": [[0, 0, 0, 74463]], "agg_col": [[0, 5]], "sel": 0}, "question_refine": "on which date was the patient with patient id 74463 born?", "sql": "SELECT DEMOGRAPHIC.\"DOB\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"74463\"", "question_refine_tok": ["on", "which", "date", "was", "the", "patient", "with", "patient", "i", "d", "74463", "born", "?"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DOB\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"74463\""]}
{"key": "a54b66567c23a6ca8e774a4507f148c5", "format": {"table": [4], "cond": [[4, 0, 0, 22377]], "agg_col": [[4, 2], [4, 4]], "sel": 0}, "question_refine": "give me the lab test item id and lab test abnormal status of patient with patient id 22377.", "sql": "SELECT LAB.\"ITEMID\",LAB.\"FLAG\" FROM LAB WHERE LAB.\"SUBJECT_ID\" = \"22377\"", "question_refine_tok": ["give", "me", "the", "lab", "test", "item", "i", "d", "and", "lab", "test", "abnormal", "status", "of", "patient", "with", "patient", "i", "d", "22377", "."], "sql_tok": ["SELECT", "LAB.\"ITEMID\",LAB.\"FLAG\"", "FROM", "LAB", "WHERE", "LAB.\"SUBJECT_ID\"", "=", "\"22377\""]}
{"key": "05a7c3b6372bf41e57ed975badd14080", "format": {"table": [2], "cond": [[2, 0, 0, 1875]], "agg_col": [[2, 2]], "sel": 0}, "question_refine": "provide me the procedure icd9 code of patient with patient id 1875.", "sql": "SELECT PROCEDURES.\"ICD9_CODE\" FROM PROCEDURES WHERE PROCEDURES.\"SUBJECT_ID\" = \"1875\"", "question_refine_tok": ["provide", "me", "the", "procedure", "icd9", "code", "of", "patient", "with", "patient", "i", "d", "1875", "."], "sql_tok": ["SELECT", "PROCEDURES.\"ICD9_CODE\"", "FROM", "PROCEDURES", "WHERE", "PROCEDURES.\"SUBJECT_ID\"", "=", "\"1875\""]}
{"key": "8a0ddd453e433d0189e15fe7e1259821", "format": {"table": [0, 1], "cond": [[0, 0, 0, 1875]], "agg_col": [[0, 20], [1, 2]], "sel": 0}, "question_refine": "give me the time of admission and diagnoses icd9 code for patient with patient id 1875.", "sql": "SELECT DEMOGRAPHIC.\"ADMITTIME\",DIAGNOSES.\"ICD9_CODE\" FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"1875\"", "question_refine_tok": ["give", "me", "the", "time", "of", "admission", "and", "diagnoses", "icd9", "code", "for", "patient", "with", "patient", "i", "d", "1875", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"ADMITTIME\",DIAGNOSES.\"ICD9_CODE\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"1875\""]}
{"key": "0b8b878c3c9bf9cfc59e3c2528341dfa", "format": {"table": [0, 1], "cond": [[0, 0, 0, 1875]], "agg_col": [[0, 21], [1, 3]], "sel": 0}, "question_refine": "for patient id 1875, specify the icd9 code and discharge time", "sql": "SELECT DEMOGRAPHIC.\"DISCHTIME\",DIAGNOSES.\"SHORT_TITLE\" FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"1875\"", "question_refine_tok": ["for", "patient", "i", "d", "1875", ",", "specify", "the", "icd9", "code", "and", "discharge", "time"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DISCHTIME\",DIAGNOSES.\"SHORT_TITLE\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"1875\""]}
{"key": "07f753a76f9e4833bde8ba792b3b14c9", "format": {"table": [0, 1], "cond": [[0, 0, 0, 8440]], "agg_col": [[0, 16], [1, 3]], "sel": 0}, "question_refine": "what is the primary disease and diagnosis of the patient id 8440?", "sql": "SELECT DEMOGRAPHIC.\"DIAGNOSIS\",DIAGNOSES.\"SHORT_TITLE\" FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"8440\"", "question_refine_tok": ["what", "is", "the", "primary", "disease", "and", "diagnosis", "of", "the", "patient", "i", "d", "8440", "?"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DIAGNOSIS\",DIAGNOSES.\"SHORT_TITLE\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"8440\""]}
{"key": "8e805d4d6cc73e525091b4a6fab529c6", "format": {"table": [0], "cond": [[0, 0, 0, 11221]], "agg_col": [[0, 10], [0, 15]], "sel": 0}, "question_refine": "tell me the discharge location and the number of days for which patient with patient id 11221 stayed in hospital.", "sql": "SELECT DEMOGRAPHIC.\"DAYS_STAY\",DEMOGRAPHIC.\"DISCHARGE_LOCATION\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"11221\"", "question_refine_tok": ["tell", "me", "the", "discharge", "location", "and", "the", "number", "of", "days", "for", "which", "patient", "with", "patient", "i", "d", "11221", "stayed", "in", "hospital", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DAYS_STAY\",DEMOGRAPHIC.\"DISCHARGE_LOCATION\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"11221\""]}
{"key": "097b18ee7c4e8dd38cc66dd22ba9274a", "format": {"table": [0], "cond": [[0, 2, 0, "Stephanie Suchan"]], "agg_col": [[0, 5]], "sel": 0}, "question_refine": "give me the birth date of patient stephanie suchan ?", "sql": "SELECT DEMOGRAPHIC.\"DOB\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"NAME\" = \"Stephanie Suchan\"", "question_refine_tok": ["give", "me", "the", "birth", "date", "of", "patient", "stephanie", "suchan", "?"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DOB\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Stephanie", "Suchan\""]}
{"key": "0f58d7c3462afbaf1092a9aaca163031", "format": {"table": [0], "cond": [[0, 2, 0, "Edward Castillo"]], "agg_col": [[0, 9]], "sel": 0}, "question_refine": "specify type of admission of patient edward castillo", "sql": "SELECT DEMOGRAPHIC.\"ADMISSION_TYPE\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"NAME\" = \"Edward Castillo\"", "question_refine_tok": ["specify", "type", "of", "admission", "of", "patient", "edward", "castillo"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"ADMISSION_TYPE\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Edward", "Castillo\""]}
{"key": "0709ceb7a5a37d731d4c3fb50129fc8b", "format": {"table": [0], "cond": [[0, 2, 0, "Bessie Giordano"]], "agg_col": [[0, 16], [0, 20]], "sel": 0}, "question_refine": "tell me the time of admission and primary disease of patient bessie giordano.", "sql": "SELECT DEMOGRAPHIC.\"DIAGNOSIS\",DEMOGRAPHIC.\"ADMITTIME\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"NAME\" = \"Bessie Giordano\"", "question_refine_tok": ["tell", "me", "the", "time", "of", "admission", "and", "primary", "disease", "of", "patient", "bessie", "giordano", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DIAGNOSIS\",DEMOGRAPHIC.\"ADMITTIME\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Bessie", "Giordano\""]}
{"key": "0b3cc42f4f1d52225bcdb7f071c2b474", "format": {"table": [0, 4], "cond": [[0, 2, 0, "Chandra Schulman"]], "agg_col": [[4, 2], [4, 6]], "sel": 0}, "question_refine": "let me know the name of lab test and lab test item id for patient chandra schulman.", "sql": "SELECT LAB.\"ITEMID\",LAB.\"LABEL\" FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"NAME\" = \"Chandra Schulman\"", "question_refine_tok": ["let", "me", "know", "the", "name", "of", "lab", "test", "and", "lab", "test", "item", "i", "d", "for", "patient", "chandra", "schulman", "."], "sql_tok": ["SELECT", "LAB.\"ITEMID\",LAB.\"LABEL\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Chandra", "Schulman\""]}
{"key": "9b4df08cff80e56aef9dc4d37513e33e", "format": {"table": [0], "cond": [[0, 2, 0, "Jonathan Wiggins"]], "agg_col": [[0, 9], [0, 16]], "sel": 0}, "question_refine": "get me the type of admission and primary disease for which jonathan wiggins was admitted.", "sql": "SELECT DEMOGRAPHIC.\"ADMISSION_TYPE\",DEMOGRAPHIC.\"DIAGNOSIS\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"NAME\" = \"Jonathan Wiggins\"", "question_refine_tok": ["get", "me", "the", "type", "of", "admission", "and", "primary", "disease", "for", "which", "jonathan", "wiggins", "was", "admitted", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"ADMISSION_TYPE\",DEMOGRAPHIC.\"DIAGNOSIS\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Jonathan", "Wiggins\""]}
{"key": "08dbe3cffc1c334b730854b6454b0bb9", "format": {"table": [0], "cond": [[0, 2, 0, "Elizabeth Bateman"]], "agg_col": [[0, 14], [0, 15]], "sel": 0}, "question_refine": "provide the admission location as well as discharge location of subject name elizabeth bateman.", "sql": "SELECT DEMOGRAPHIC.\"ADMISSION_LOCATION\",DEMOGRAPHIC.\"DISCHARGE_LOCATION\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"NAME\" = \"Elizabeth Bateman\"", "question_refine_tok": ["provide", "the", "admission", "location", "as", "well", "as", "discharge", "location", "of", "subject", "name", "elizabeth", "bateman", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"ADMISSION_LOCATION\",DEMOGRAPHIC.\"DISCHARGE_LOCATION\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Elizabeth", "Bateman\""]}
{"key": "0d8668ce9bb2d5b309822a5b89240277", "format": {"table": [0], "cond": [[0, 2, 0, "John Gartman"]], "agg_col": [[0, 5], [0, 20]], "sel": 0}, "question_refine": "find out the birth date and time of admission for patient john gartman.", "sql": "SELECT DEMOGRAPHIC.\"DOB\",DEMOGRAPHIC.\"ADMITTIME\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"NAME\" = \"John Gartman\"", "question_refine_tok": ["find", "out", "the", "birth", "date", "and", "time", "of", "admission", "for", "patient", "john", "gartman", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DOB\",DEMOGRAPHIC.\"ADMITTIME\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"John", "Gartman\""]}
{"key": "85d8a21277604d575ed70aa8589ef037", "format": {"table": [0], "cond": [[0, 2, 0, "Charles Deshay"]], "agg_col": [[0, 7]], "sel": 0}, "question_refine": "which language does the patient charles deshay prefer?", "sql": "SELECT DEMOGRAPHIC.\"LANGUAGE\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"NAME\" = \"Charles Deshay\"", "question_refine_tok": ["which", "language", "does", "the", "patient", "charles", "deshay", "prefer", "?"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"LANGUAGE\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Charles", "Deshay\""]}
{"key": "918aed487b54ba746f5dca74673a1e95", "format": {"table": [0], "cond": [[0, 2, 0, "Lue White"]], "agg_col": [[0, 5], [0, 6]], "sel": 0}, "question_refine": "what is the date of birth and gender of subject name lue white?", "sql": "SELECT DEMOGRAPHIC.\"DOB\",DEMOGRAPHIC.\"GENDER\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"NAME\" = \"Lue White\"", "question_refine_tok": ["what", "is", "the", "date", "of", "birth", "and", "gender", "of", "subject", "name", "lue", "white", "?"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DOB\",DEMOGRAPHIC.\"GENDER\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Lue", "White\""]}
{"key": "956004d9684063facaa523ae15a86fed", "format": {"table": [0], "cond": [[0, 2, 0, "Cynthia Gomez"]], "agg_col": [[0, 7]], "sel": 0}, "question_refine": "which language does cynthia gomez understand?", "sql": "SELECT DEMOGRAPHIC.\"LANGUAGE\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"NAME\" = \"Cynthia Gomez\"", "question_refine_tok": ["which", "language", "does", "cynthia", "gomez", "understand", "?"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"LANGUAGE\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Cynthia", "Gomez\""]}
{"key": "8b107fae68ba2796d3985f4bf3a26324", "format": {"table": [0], "cond": [[0, 2, 0, "Alice Nixon"]], "agg_col": [[0, 14]], "sel": 0}, "question_refine": "find the admission location for alice nixon.", "sql": "SELECT DEMOGRAPHIC.\"ADMISSION_LOCATION\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"NAME\" = \"Alice Nixon\"", "question_refine_tok": ["find", "the", "admission", "location", "for", "alice", "nixon", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"ADMISSION_LOCATION\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Alice", "Nixon\""]}
{"key": "0cdaeea27c2f1e7de2ef4c3f9622d5cb", "format": {"table": [0], "cond": [[0, 2, 0, "Ida Cook"]], "agg_col": [[0, 9]], "sel": 0}, "question_refine": "let me know the type of admission patient ida cook had.", "sql": "SELECT DEMOGRAPHIC.\"ADMISSION_TYPE\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"NAME\" = \"Ida Cook\"", "question_refine_tok": ["let", "me", "know", "the", "type", "of", "admission", "patient", "ida", "cook", "had", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"ADMISSION_TYPE\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Ida", "Cook\""]}
{"key": "a630f58e3b1231385d4ebbb1edbb136d", "format": {"table": [0], "cond": [[0, 2, 0, "Troy Friedman"]], "agg_col": [[0, 10]], "sel": 0}, "question_refine": "patient troy friedman was hospitalized for how many days?", "sql": "SELECT DEMOGRAPHIC.\"DAYS_STAY\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"NAME\" = \"Troy Friedman\"", "question_refine_tok": ["patient", "troy", "friedman", "was", "hospitalized", "for", "how", "many", "days", "?"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DAYS_STAY\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Troy", "Friedman\""]}
{"key": "871b48c28ceee54f43ba16f2a5d5dd15", "format": {"table": [0], "cond": [[0, 2, 0, "Troy Friedman"]], "agg_col": [[0, 10], [0, 14]], "sel": 0}, "question_refine": "specify the duration of hospital stay and admission location of patient troy friedman", "sql": "SELECT DEMOGRAPHIC.\"DAYS_STAY\",DEMOGRAPHIC.\"ADMISSION_LOCATION\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"NAME\" = \"Troy Friedman\"", "question_refine_tok": ["specify", "the", "duration", "of", "hospital", "stay", "and", "admission", "location", "of", "patient", "troy", "friedman"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DAYS_STAY\",DEMOGRAPHIC.\"ADMISSION_LOCATION\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Troy", "Friedman\""]}
{"key": "9e02c9f4d586d088bda7a218471308b9", "format": {"table": [0, 1], "cond": [[0, 2, 0, "Bruce Harris"]], "agg_col": [[0, 16], [1, 2]], "sel": 0}, "question_refine": "specify primary disease of patient bruce harris along-with icd9 code.", "sql": "SELECT DEMOGRAPHIC.\"DIAGNOSIS\",DIAGNOSES.\"ICD9_CODE\" FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"NAME\" = \"Bruce Harris\"", "question_refine_tok": ["specify", "primary", "disease", "of", "patient", "bruce", "harris", "along", "-", "with", "icd9", "code", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DIAGNOSIS\",DIAGNOSES.\"ICD9_CODE\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Bruce", "Harris\""]}
{"key": "01274bda0990333efe5fa68ca23a1718", "format": {"table": [0], "cond": [[0, 2, 0, "Thomas Jeanbaptiste"]], "agg_col": [[0, 14], [0, 15]], "sel": 0}, "question_refine": "what is the admission location and discharge location of subject name thomas jeanbaptiste?", "sql": "SELECT DEMOGRAPHIC.\"ADMISSION_LOCATION\",DEMOGRAPHIC.\"DISCHARGE_LOCATION\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"NAME\" = \"Thomas Jeanbaptiste\"", "question_refine_tok": ["what", "is", "the", "admission", "location", "and", "discharge", "location", "of", "subject", "name", "thomas", "jeanbaptiste", "?"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"ADMISSION_LOCATION\",DEMOGRAPHIC.\"DISCHARGE_LOCATION\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Thomas", "Jeanbaptiste\""]}
{"key": "bb3c00803833e41059a3bff677c51b73", "format": {"table": [0, 2], "cond": [[0, 2, 0, "Lawrence Wibbens"]], "agg_col": [[2, 3]], "sel": 0}, "question_refine": "tell me the short title of procedure for patient lawrence wibbens.", "sql": "SELECT PROCEDURES.\"SHORT_TITLE\" FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"NAME\" = \"Lawrence Wibbens\"", "question_refine_tok": ["tell", "me", "the", "short", "title", "of", "procedure", "for", "patient", "lawrence", "wibbens", "."], "sql_tok": ["SELECT", "PROCEDURES.\"SHORT_TITLE\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Lawrence", "Wibbens\""]}
{"key": "977ecca508723a7bb321e261d6c47f72", "format": {"table": [0, 1], "cond": [[0, 2, 0, "Tracy Farmer"]], "agg_col": [[1, 3]], "sel": 0}, "question_refine": "what is the diagnosis of the patient name tracy farmer?", "sql": "SELECT DIAGNOSES.\"SHORT_TITLE\" FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"NAME\" = \"Tracy Farmer\"", "question_refine_tok": ["what", "is", "the", "diagnosis", "of", "the", "patient", "name", "tracy", "farmer", "?"], "sql_tok": ["SELECT", "DIAGNOSES.\"SHORT_TITLE\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Tracy", "Farmer\""]}
{"key": "8523810ad3d2b35ea44fef5080962db1", "format": {"table": [0], "cond": [[0, 2, 0, "Jane Dillard"]], "agg_col": [[0, 9]], "sel": 0}, "question_refine": "which type of admission did patient jane dillard have?", "sql": "SELECT DEMOGRAPHIC.\"ADMISSION_TYPE\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"NAME\" = \"Jane Dillard\"", "question_refine_tok": ["which", "type", "of", "admission", "did", "patient", "jane", "dillard", "have", "?"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"ADMISSION_TYPE\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Jane", "Dillard\""]}
{"key": "86d07eae693396f6aead63e691ef2627", "format": {"table": [0], "cond": [[0, 2, 0, "Anna Johnson"]], "agg_col": [[0, 7]], "sel": 0}, "question_refine": "which language did patient anna johnson speak?", "sql": "SELECT DEMOGRAPHIC.\"LANGUAGE\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"NAME\" = \"Anna Johnson\"", "question_refine_tok": ["which", "language", "did", "patient", "anna", "johnson", "speak", "?"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"LANGUAGE\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Anna", "Johnson\""]}
{"key": "8c1239d9e940eb0ebcff0e32c2c18d7b", "format": {"table": [0], "cond": [[0, 2, 0, "Walter Locher"]], "agg_col": [[0, 13], [0, 16]], "sel": 0}, "question_refine": "tell me which primary disease is the patient walter locher suffering from and whether he is still alive or not.", "sql": "SELECT DEMOGRAPHIC.\"EXPIRE_FLAG\",DEMOGRAPHIC.\"DIAGNOSIS\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"NAME\" = \"Walter Locher\"", "question_refine_tok": ["tell", "me", "which", "primary", "disease", "is", "the", "patient", "walter", "locher", "suffering", "from", "and", "whether", "he", "is", "still", "alive", "or", "not", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"EXPIRE_FLAG\",DEMOGRAPHIC.\"DIAGNOSIS\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Walter", "Locher\""]}
{"key": "0521be1733cdf14bfb3164d5bc911bbf", "format": {"table": [0], "cond": [[0, 2, 0, "Hector Blair"]], "agg_col": [[0, 16]], "sel": 0}, "question_refine": "give the primary disease of hector blair.", "sql": "SELECT DEMOGRAPHIC.\"DIAGNOSIS\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"NAME\" = \"Hector Blair\"", "question_refine_tok": ["give", "the", "primary", "disease", "of", "hector", "blair", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DIAGNOSIS\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Hector", "Blair\""]}
{"key": "8434959e3330dc710ffe491da1f8652a", "format": {"table": [0], "cond": [[0, 2, 0, "Joseph Dillman"]], "agg_col": [[0, 13], [0, 16]], "sel": 0}, "question_refine": "familiarize me with the death status and primary disease of the patient joseph dillman.", "sql": "SELECT DEMOGRAPHIC.\"EXPIRE_FLAG\",DEMOGRAPHIC.\"DIAGNOSIS\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"NAME\" = \"Joseph Dillman\"", "question_refine_tok": ["familiarize", "me", "with", "the", "death", "status", "and", "primary", "disease", "of", "the", "patient", "joseph", "dillman", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"EXPIRE_FLAG\",DEMOGRAPHIC.\"DIAGNOSIS\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Joseph", "Dillman\""]}
{"key": "854f86a9a79899086eb022b3f0a6fb37", "format": {"table": [0], "cond": [[0, 2, 0, "Brian Brock"]], "agg_col": [[0, 3]], "sel": 0}, "question_refine": "let me know if patient brian brock is married or unmarried.", "sql": "SELECT DEMOGRAPHIC.\"MARITAL_STATUS\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"NAME\" = \"Brian Brock\"", "question_refine_tok": ["let", "me", "know", "if", "patient", "brian", "brock", "is", "married", "or", "unmarried", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"MARITAL_STATUS\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Brian", "Brock\""]}
{"key": "0be089824bb2caf402523cf69d0356a8", "format": {"table": [0, 2], "cond": [[0, 2, 0, "Brian Brock"]], "agg_col": [[0, 16], [2, 2]], "sel": 0}, "question_refine": "tell me the procedure icd9 code and the primary disease patient brian brock is suffering from.", "sql": "SELECT DEMOGRAPHIC.\"DIAGNOSIS\",PROCEDURES.\"ICD9_CODE\" FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"NAME\" = \"Brian Brock\"", "question_refine_tok": ["tell", "me", "the", "procedure", "icd9", "code", "and", "the", "primary", "disease", "patient", "brian", "brock", "is", "suffering", "from", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DIAGNOSIS\",PROCEDURES.\"ICD9_CODE\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Brian", "Brock\""]}
{"key": "a41111f8a4127aa5b8e8d59c2162e99d", "format": {"table": [0], "cond": [[0, 2, 0, "Dawn Cooper"]], "agg_col": [[0, 21]], "sel": 0}, "question_refine": "find out the time at which patient dawn cooper was discharged.", "sql": "SELECT DEMOGRAPHIC.\"DISCHTIME\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"NAME\" = \"Dawn Cooper\"", "question_refine_tok": ["find", "out", "the", "time", "at", "which", "patient", "dawn", "cooper", "was", "discharged", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DISCHTIME\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Dawn", "Cooper\""]}
{"key": "826d5098068860a440ae7a843a7e90df", "format": {"table": [0, 2], "cond": [[0, 2, 0, "Jeff Jarvis"]], "agg_col": [[0, 10], [2, 2]], "sel": 0}, "question_refine": "let me know the procedure icd9 code and days for which patient jeff jarvis was hospitalized.", "sql": "SELECT DEMOGRAPHIC.\"DAYS_STAY\",PROCEDURES.\"ICD9_CODE\" FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"NAME\" = \"Jeff Jarvis\"", "question_refine_tok": ["let", "me", "know", "the", "procedure", "icd9", "code", "and", "days", "for", "which", "patient", "jeff", "jarvis", "was", "hospitalized", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DAYS_STAY\",PROCEDURES.\"ICD9_CODE\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Jeff", "Jarvis\""]}
{"key": "930137d96be60c455240dc71e1aff79b", "format": {"table": [0], "cond": [[0, 2, 0, "Michael Witt"]], "agg_col": [[0, 14]], "sel": 0}, "question_refine": "what is the admission location of the patient michael witt?", "sql": "SELECT DEMOGRAPHIC.\"ADMISSION_LOCATION\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"NAME\" = \"Michael Witt\"", "question_refine_tok": ["what", "is", "the", "admission", "location", "of", "the", "patient", "michael", "witt", "?"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"ADMISSION_LOCATION\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Michael", "Witt\""]}
{"key": "9e90f00cc0c6d266800eea37d3d08242", "format": {"table": [0], "cond": [[0, 2, 0, "Michael Witt"]], "agg_col": [[0, 16]], "sel": 0}, "question_refine": "specify the primary disease of patient michael witt", "sql": "SELECT DEMOGRAPHIC.\"DIAGNOSIS\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"NAME\" = \"Michael Witt\"", "question_refine_tok": ["specify", "the", "primary", "disease", "of", "patient", "michael", "witt"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DIAGNOSIS\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Michael", "Witt\""]}
{"key": "ae3c7627e3ba7750105510476460e8e4", "format": {"table": [0], "cond": [[0, 2, 0, "Steven Sepulveda"]], "agg_col": [[0, 4], [0, 16]], "sel": 0}, "question_refine": "what is the age and primary disease of subject name steven sepulveda?", "sql": "SELECT DEMOGRAPHIC.\"AGE\",DEMOGRAPHIC.\"DIAGNOSIS\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"NAME\" = \"Steven Sepulveda\"", "question_refine_tok": ["what", "is", "the", "age", "and", "primary", "disease", "of", "subject", "name", "steven", "sepulveda", "?"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"AGE\",DEMOGRAPHIC.\"DIAGNOSIS\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Steven", "Sepulveda\""]}
{"key": "8992cac76fa0ec727f4a010671a5ce78", "format": {"table": [0, 2], "cond": [[0, 2, 0, "Steven Sepulveda"]], "agg_col": [[0, 16], [2, 3]], "sel": 0}, "question_refine": "tell me the short title of procedure and primary disease of patient steven sepulveda.", "sql": "SELECT DEMOGRAPHIC.\"DIAGNOSIS\",PROCEDURES.\"SHORT_TITLE\" FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"NAME\" = \"Steven Sepulveda\"", "question_refine_tok": ["tell", "me", "the", "short", "title", "of", "procedure", "and", "primary", "disease", "of", "patient", "steven", "sepulveda", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DIAGNOSIS\",PROCEDURES.\"SHORT_TITLE\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Steven", "Sepulveda\""]}
{"key": "87f5b4b9f0dde37c48f8c9c18eeff623", "format": {"table": [0, 1], "cond": [[0, 2, 0, "James Sloan"]], "agg_col": [[0, 15], [1, 4]], "sel": 0}, "question_refine": "provide me with the long title of diagnoses and location of discharge for patient james sloan.", "sql": "SELECT DEMOGRAPHIC.\"DISCHARGE_LOCATION\",DIAGNOSES.\"LONG_TITLE\" FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"NAME\" = \"James Sloan\"", "question_refine_tok": ["provide", "me", "with", "the", "long", "title", "of", "diagnoses", "and", "location", "of", "discharge", "for", "patient", "james", "sloan", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DISCHARGE_LOCATION\",DIAGNOSES.\"LONG_TITLE\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"James", "Sloan\""]}
{"key": "9b805afb13a94b6007d685fa0474e38f", "format": {"table": [1], "cond": [[1, 2, 0, "55221"]], "agg_col": [[1, 4]], "sel": 0}, "question_refine": "what is the diagnosis of the diagnosis icd9 code 55221?", "sql": "SELECT DIAGNOSES.\"LONG_TITLE\" FROM DIAGNOSES WHERE DIAGNOSES.\"ICD9_CODE\" = \"55221\"", "question_refine_tok": ["what", "is", "the", "diagnosis", "of", "the", "diagnosis", "icd9", "code", "55221", "?"], "sql_tok": ["SELECT", "DIAGNOSES.\"LONG_TITLE\"", "FROM", "DIAGNOSES", "WHERE", "DIAGNOSES.\"ICD9_CODE\"", "=", "\"55221\""]}
{"key": "9f47c8570c1f03b0c2ced60a72ab7677", "format": {"table": [1], "cond": [[1, 2, 0, "V202"]], "agg_col": [[1, 4]], "sel": 0}, "question_refine": "find the diagnostic decription of diagnoses icd9 code v202.", "sql": "SELECT DIAGNOSES.\"LONG_TITLE\" FROM DIAGNOSES WHERE DIAGNOSES.\"ICD9_CODE\" = \"V202\"", "question_refine_tok": ["find", "the", "diagnostic", "decription", "of", "diagnoses", "icd9", "code", "v202", "."], "sql_tok": ["SELECT", "DIAGNOSES.\"LONG_TITLE\"", "FROM", "DIAGNOSES", "WHERE", "DIAGNOSES.\"ICD9_CODE\"", "=", "\"V202\""]}
{"key": "a94595edf4ac21c5e9a133c27d329a9c", "format": {"table": [2], "cond": [[2, 2, 0, 540]], "agg_col": [[2, 3]], "sel": 0}, "question_refine": "mention the procedure short title for procedure icd9 code 540.", "sql": "SELECT PROCEDURES.\"SHORT_TITLE\" FROM PROCEDURES WHERE PROCEDURES.\"ICD9_CODE\" = \"540\"", "question_refine_tok": ["mention", "the", "procedure", "short", "title", "for", "procedure", "icd9", "code", "540", "."], "sql_tok": ["SELECT", "PROCEDURES.\"SHORT_TITLE\"", "FROM", "PROCEDURES", "WHERE", "PROCEDURES.\"ICD9_CODE\"", "=", "\"540\""]}
{"key": "8a69b24d8c7e69c40ff4414c274c3334", "format": {"table": [2], "cond": [[2, 2, 0, 9955]], "agg_col": [[2, 4]], "sel": 0}, "question_refine": "mention the long title of the procedure of procedure icd9 code 9955.", "sql": "SELECT PROCEDURES.\"LONG_TITLE\" FROM PROCEDURES WHERE PROCEDURES.\"ICD9_CODE\" = \"9955\"", "question_refine_tok": ["mention", "the", "long", "title", "of", "the", "procedure", "of", "procedure", "icd9", "code", "9955", "."], "sql_tok": ["SELECT", "PROCEDURES.\"LONG_TITLE\"", "FROM", "PROCEDURES", "WHERE", "PROCEDURES.\"ICD9_CODE\"", "=", "\"9955\""]}
{"key": "8a0a842d1334dfa7180ee679318ee712", "format": {"table": [2], "cond": [[2, 2, 0, 5187]], "agg_col": [[2, 4]], "sel": 0}, "question_refine": "specify the procedure long title of procedure icd9 code 5187.", "sql": "SELECT PROCEDURES.\"LONG_TITLE\" FROM PROCEDURES WHERE PROCEDURES.\"ICD9_CODE\" = \"5187\"", "question_refine_tok": ["specify", "the", "procedure", "long", "title", "of", "procedure", "icd9", "code", "5187", "."], "sql_tok": ["SELECT", "PROCEDURES.\"LONG_TITLE\"", "FROM", "PROCEDURES", "WHERE", "PROCEDURES.\"ICD9_CODE\"", "=", "\"5187\""]}
{"key": "9d22d5180be72d9ae37019d4cc5355aa", "format": {"table": [2], "cond": [[2, 2, 0, 331]], "agg_col": [[2, 4]], "sel": 0}, "question_refine": "tell me the long title of procedure for procedure icd9 code 331.", "sql": "SELECT PROCEDURES.\"LONG_TITLE\" FROM PROCEDURES WHERE PROCEDURES.\"ICD9_CODE\" = \"331\"", "question_refine_tok": ["tell", "me", "the", "long", "title", "of", "procedure", "for", "procedure", "icd9", "code", "331", "."], "sql_tok": ["SELECT", "PROCEDURES.\"LONG_TITLE\"", "FROM", "PROCEDURES", "WHERE", "PROCEDURES.\"ICD9_CODE\"", "=", "\"331\""]}
{"key": "a41467630e807935e79cb022a27386f1", "format": {"table": [3], "cond": [[3, 4, 0, "Nitroglycerin SL"]], "agg_col": [[3, 6]], "sel": 0}, "question_refine": "how nitroglycerin sl is administered?", "sql": "SELECT PRESCRIPTIONS.\"ROUTE\" FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.\"DRUG\" = \"Nitroglycerin SL\"", "question_refine_tok": ["how", "nitroglycerin", "sl", "is", "administered", "?"], "sql_tok": ["SELECT", "PRESCRIPTIONS.\"ROUTE\"", "FROM", "PRESCRIPTIONS", "WHERE", "PRESCRIPTIONS.\"DRUG\"", "=", "\"Nitroglycerin", "SL\""]}
{"key": "909ad924fee93b6c35acb207ab2c0aa6", "format": {"table": [3], "cond": [[3, 4, 0, "Voriconazole"]], "agg_col": [[3, 6]], "sel": 0}, "question_refine": "what is the drug route of drug name voriconazole?", "sql": "SELECT PRESCRIPTIONS.\"ROUTE\" FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.\"DRUG\" = \"Voriconazole\"", "question_refine_tok": ["what", "is", "the", "drug", "route", "of", "drug", "name", "voriconazole", "?"], "sql_tok": ["SELECT", "PRESCRIPTIONS.\"ROUTE\"", "FROM", "PRESCRIPTIONS", "WHERE", "PRESCRIPTIONS.\"DRUG\"", "=", "\"Voriconazole\""]}
{"key": "0368765dff658003bb0615f3d9a2cc15", "format": {"table": [3], "cond": [[3, 4, 0, "Pantoprazole Sodium"]], "agg_col": [[3, 3]], "sel": 0}, "question_refine": "specify the drug type of pantoprazole sodium", "sql": "SELECT PRESCRIPTIONS.\"DRUG_TYPE\" FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.\"DRUG\" = \"Pantoprazole Sodium\"", "question_refine_tok": ["specify", "the", "drug", "type", "of", "pantoprazole", "sodium"], "sql_tok": ["SELECT", "PRESCRIPTIONS.\"DRUG_TYPE\"", "FROM", "PRESCRIPTIONS", "WHERE", "PRESCRIPTIONS.\"DRUG\"", "=", "\"Pantoprazole", "Sodium\""]}
{"key": "0bf9d7f3a5120ea9a6a3ca724295956f", "format": {"table": [3], "cond": [[3, 4, 0, "Influenza Virus Vaccine"]], "agg_col": [[3, 3], [3, 6]], "sel": 0}, "question_refine": "let me know the route of administration and the type of drug influenza virus vaccine is.", "sql": "SELECT PRESCRIPTIONS.\"DRUG_TYPE\",PRESCRIPTIONS.\"ROUTE\" FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.\"DRUG\" = \"Influenza Virus Vaccine\"", "question_refine_tok": ["let", "me", "know", "the", "route", "of", "administration", "and", "the", "type", "of", "drug", "influenza", "virus", "vaccine", "is", "."], "sql_tok": ["SELECT", "PRESCRIPTIONS.\"DRUG_TYPE\",PRESCRIPTIONS.\"ROUTE\"", "FROM", "PRESCRIPTIONS", "WHERE", "PRESCRIPTIONS.\"DRUG\"", "=", "\"Influenza", "Virus", "Vaccine\""]}
{"key": "9672299032071a605af23175e0e6462a", "format": {"table": [3], "cond": [[3, 4, 0, "BusPIRone"]], "agg_col": [[3, 3], [3, 5]], "sel": 0}, "question_refine": "what is the drug type and drug code of the drug buspirone?", "sql": "SELECT PRESCRIPTIONS.\"DRUG_TYPE\",PRESCRIPTIONS.\"FORMULARY_DRUG_CD\" FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.\"DRUG\" = \"BusPIRone\"", "question_refine_tok": ["what", "is", "the", "drug", "type", "and", "drug", "code", "of", "the", "drug", "buspirone", "?"], "sql_tok": ["SELECT", "PRESCRIPTIONS.\"DRUG_TYPE\",PRESCRIPTIONS.\"FORMULARY_DRUG_CD\"", "FROM", "PRESCRIPTIONS", "WHERE", "PRESCRIPTIONS.\"DRUG\"", "=", "\"BusPIRone\""]}
{"key": "041461cfd563e6b139f3910205ec8e31", "format": {"table": [3], "cond": [[3, 4, 0, "Propafenone HCl"]], "agg_col": [[3, 5], [3, 6]], "sel": 0}, "question_refine": "what is the drug code and route for the drug propafenone hcl?", "sql": "SELECT PRESCRIPTIONS.\"FORMULARY_DRUG_CD\",PRESCRIPTIONS.\"ROUTE\" FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.\"DRUG\" = \"Propafenone HCl\"", "question_refine_tok": ["what", "is", "the", "drug", "code", "and", "route", "for", "the", "drug", "propafenone", "hcl", "?"], "sql_tok": ["SELECT", "PRESCRIPTIONS.\"FORMULARY_DRUG_CD\",PRESCRIPTIONS.\"ROUTE\"", "FROM", "PRESCRIPTIONS", "WHERE", "PRESCRIPTIONS.\"DRUG\"", "=", "\"Propafenone", "HCl\""]}
{"key": "9e3cfd2e5e89645062b52d0d1689bdf8", "format": {"table": [3], "cond": [[3, 4, 0, "Syringe (Neonatal) *NS*"]], "agg_col": [[3, 3]], "sel": 0}, "question_refine": "what is the drug type of drug name syringe (neonatal) *ns*?", "sql": "SELECT PRESCRIPTIONS.\"DRUG_TYPE\" FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.\"DRUG\" = \"Syringe (Neonatal) *NS*\"", "question_refine_tok": ["what", "is", "the", "drug", "type", "of", "drug", "name", "syringe", "(", "neonatal", ")", "*", "ns", "*", "?"], "sql_tok": ["SELECT", "PRESCRIPTIONS.\"DRUG_TYPE\"", "FROM", "PRESCRIPTIONS", "WHERE", "PRESCRIPTIONS.\"DRUG\"", "=", "\"Syringe", "(Neonatal)", "*NS*\""]}
{"key": "883d0c58235fc68431a9f70aebbcfef0", "format": {"table": [3], "cond": [[3, 4, 0, "Aloe Vesta 2-n-1 Skin Cond"]], "agg_col": [[3, 3]], "sel": 0}, "question_refine": "what is the drug type of drug name aloe vesta 2-n-1 skin cond?", "sql": "SELECT PRESCRIPTIONS.\"DRUG_TYPE\" FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.\"DRUG\" = \"Aloe Vesta 2-n-1 Skin Cond\"", "question_refine_tok": ["what", "is", "the", "drug", "type", "of", "drug", "name", "aloe", "vesta", "2-n-1", "skin", "cond", "?"], "sql_tok": ["SELECT", "PRESCRIPTIONS.\"DRUG_TYPE\"", "FROM", "PRESCRIPTIONS", "WHERE", "PRESCRIPTIONS.\"DRUG\"", "=", "\"Aloe", "Vesta", "2-n-1", "Skin", "Cond\""]}
{"key": "9d1a610fdeca814a481fcfd2f4cfa096", "format": {"table": [3], "cond": [[3, 4, 0, "Doxazosin"]], "agg_col": [[3, 5], [3, 6]], "sel": 0}, "question_refine": "tell me the drug code and route of doxazosin administration", "sql": "SELECT PRESCRIPTIONS.\"FORMULARY_DRUG_CD\",PRESCRIPTIONS.\"ROUTE\" FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.\"DRUG\" = \"Doxazosin\"", "question_refine_tok": ["tell", "me", "the", "drug", "code", "and", "route", "of", "doxazosin", "administration"], "sql_tok": ["SELECT", "PRESCRIPTIONS.\"FORMULARY_DRUG_CD\",PRESCRIPTIONS.\"ROUTE\"", "FROM", "PRESCRIPTIONS", "WHERE", "PRESCRIPTIONS.\"DRUG\"", "=", "\"Doxazosin\""]}
{"key": "883ecfb800b0c4b36ebd64104466e0f6", "format": {"table": [3], "cond": [[3, 4, 0, "Sulfameth/Trimethoprim SS"]], "agg_col": [[3, 3], [3, 7]], "sel": 0}, "question_refine": "find the type and dosage of sulfameth/trimethoprim ss drug.", "sql": "SELECT PRESCRIPTIONS.\"DRUG_TYPE\",PRESCRIPTIONS.\"DRUG_DOSE\" FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.\"DRUG\" = \"Sulfameth/Trimethoprim SS\"", "question_refine_tok": ["find", "the", "type", "and", "dosage", "of", "sulfameth", "/", "trimethoprim", "ss", "drug", "."], "sql_tok": ["SELECT", "PRESCRIPTIONS.\"DRUG_TYPE\",PRESCRIPTIONS.\"DRUG_DOSE\"", "FROM", "PRESCRIPTIONS", "WHERE", "PRESCRIPTIONS.\"DRUG\"", "=", "\"Sulfameth/Trimethoprim", "SS\""]}
{"key": "ad9639c2db4c65c6915b2a114ae57120", "format": {"table": [3], "cond": [[3, 4, 0, "Verapamil"]], "agg_col": [[3, 3]], "sel": 0}, "question_refine": "specify the drug type of verapamil", "sql": "SELECT PRESCRIPTIONS.\"DRUG_TYPE\" FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.\"DRUG\" = \"Verapamil\"", "question_refine_tok": ["specify", "the", "drug", "type", "of", "verapamil"], "sql_tok": ["SELECT", "PRESCRIPTIONS.\"DRUG_TYPE\"", "FROM", "PRESCRIPTIONS", "WHERE", "PRESCRIPTIONS.\"DRUG\"", "=", "\"Verapamil\""]}
{"key": "8bc1ba8beae9d3ce8225bd222807b6e1", "format": {"table": [3], "cond": [[3, 4, 0, "Ciprofloxacin HCl"]], "agg_col": [[3, 7]], "sel": 0}, "question_refine": "what is the dose size for the drug ciprofloxacin hcl ?", "sql": "SELECT PRESCRIPTIONS.\"DRUG_DOSE\" FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.\"DRUG\" = \"Ciprofloxacin HCl\"", "question_refine_tok": ["what", "is", "the", "dose", "size", "for", "the", "drug", "ciprofloxacin", "hcl", "?"], "sql_tok": ["SELECT", "PRESCRIPTIONS.\"DRUG_DOSE\"", "FROM", "PRESCRIPTIONS", "WHERE", "PRESCRIPTIONS.\"DRUG\"", "=", "\"Ciprofloxacin", "HCl\""]}
{"key": "85671350a5e7d5eabae7a7db6d354c3e", "format": {"table": [3], "cond": [[3, 4, 0, "Phenytoin"]], "agg_col": [[3, 7]], "sel": 0}, "question_refine": "count the number of patients who have stayed in the hospital for more than 23 days with a drug phenylephrine hcl.", "sql": "SELECT PRESCRIPTIONS.\"DRUG_DOSE\" FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.\"DRUG\" = \"Phenytoin\"", "question_refine_tok": ["count", "the", "number", "of", "patients", "who", "have", "stayed", "in", "the", "hospital", "for", "more", "than", "23", "days", "with", "a", "drug", "phenylephrine", "hcl", "."], "sql_tok": ["SELECT", "PRESCRIPTIONS.\"DRUG_DOSE\"", "FROM", "PRESCRIPTIONS", "WHERE", "PRESCRIPTIONS.\"DRUG\"", "=", "\"Phenytoin\""]}
{"key": "9c1c35eddfb5255336f3f65345362e25", "format": {"table": [3], "cond": [[3, 5, 0, "SIMV10"]], "agg_col": [[3, 3]], "sel": 0}, "question_refine": "which type of drug is the drug with drug code simv10?", "sql": "SELECT PRESCRIPTIONS.\"DRUG_TYPE\" FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.\"FORMULARY_DRUG_CD\" = \"SIMV10\"", "question_refine_tok": ["which", "type", "of", "drug", "is", "the", "drug", "with", "drug", "code", "simv10", "?"], "sql_tok": ["SELECT", "PRESCRIPTIONS.\"DRUG_TYPE\"", "FROM", "PRESCRIPTIONS", "WHERE", "PRESCRIPTIONS.\"FORMULARY_DRUG_CD\"", "=", "\"SIMV10\""]}
{"key": "09686154a6c5de8615e367108e4e631d", "format": {"table": [3], "cond": [[3, 5, 0, "AMID200"]], "agg_col": [[3, 4], [3, 6]], "sel": 0}, "question_refine": "what is the drug name and route for the drug code amid200?", "sql": "SELECT PRESCRIPTIONS.\"DRUG\",PRESCRIPTIONS.\"ROUTE\" FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.\"FORMULARY_DRUG_CD\" = \"AMID200\"", "question_refine_tok": ["what", "is", "the", "drug", "name", "and", "route", "for", "the", "drug", "code", "amid200", "?"], "sql_tok": ["SELECT", "PRESCRIPTIONS.\"DRUG\",PRESCRIPTIONS.\"ROUTE\"", "FROM", "PRESCRIPTIONS", "WHERE", "PRESCRIPTIONS.\"FORMULARY_DRUG_CD\"", "=", "\"AMID200\""]}
{"key": "93071743563d2991581ad4f1a614e467", "format": {"table": [3], "cond": [[3, 5, 0, "NABC50S"]], "agg_col": [[3, 6]], "sel": 0}, "question_refine": "find out the route of administration for drug with drug code nabc50s.", "sql": "SELECT PRESCRIPTIONS.\"ROUTE\" FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.\"FORMULARY_DRUG_CD\" = \"NABC50S\"", "question_refine_tok": ["find", "out", "the", "route", "of", "administration", "for", "drug", "with", "drug", "code", "nabc50s", "."], "sql_tok": ["SELECT", "PRESCRIPTIONS.\"ROUTE\"", "FROM", "PRESCRIPTIONS", "WHERE", "PRESCRIPTIONS.\"FORMULARY_DRUG_CD\"", "=", "\"NABC50S\""]}
{"key": "a6ee3501998234967c1043a5887f7a1b", "format": {"table": [3], "cond": [[3, 5, 0, "ASA325"]], "agg_col": [[3, 4], [3, 6]], "sel": 0}, "question_refine": "specify the name and route of administration of drug code asa325", "sql": "SELECT PRESCRIPTIONS.\"DRUG\",PRESCRIPTIONS.\"ROUTE\" FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.\"FORMULARY_DRUG_CD\" = \"ASA325\"", "question_refine_tok": ["specify", "the", "name", "and", "route", "of", "administration", "of", "drug", "code", "asa325"], "sql_tok": ["SELECT", "PRESCRIPTIONS.\"DRUG\",PRESCRIPTIONS.\"ROUTE\"", "FROM", "PRESCRIPTIONS", "WHERE", "PRESCRIPTIONS.\"FORMULARY_DRUG_CD\"", "=", "\"ASA325\""]}
{"key": "95b0e70cd8bee14bf017dc8fe3fef244", "format": {"table": [3], "cond": [[3, 5, 0, "SW100MLG"]], "agg_col": [[3, 3]], "sel": 0}, "question_refine": "what is the drug type for the drug code sw100mlg?", "sql": "SELECT PRESCRIPTIONS.\"DRUG_TYPE\" FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.\"FORMULARY_DRUG_CD\" = \"SW100MLG\"", "question_refine_tok": ["what", "is", "the", "drug", "type", "for", "the", "drug", "code", "sw100mlg", "?"], "sql_tok": ["SELECT", "PRESCRIPTIONS.\"DRUG_TYPE\"", "FROM", "PRESCRIPTIONS", "WHERE", "PRESCRIPTIONS.\"FORMULARY_DRUG_CD\"", "=", "\"SW100MLG\""]}
{"key": "0a0f24160b5c1caf4686cf54d67538fe", "format": {"table": [3], "cond": [[3, 5, 0, "NYST500T"]], "agg_col": [[3, 4], [3, 6]], "sel": 0}, "question_refine": "what is the drug name and drug route of drug code nyst500t?", "sql": "SELECT PRESCRIPTIONS.\"DRUG\",PRESCRIPTIONS.\"ROUTE\" FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.\"FORMULARY_DRUG_CD\" = \"NYST500T\"", "question_refine_tok": ["what", "is", "the", "drug", "name", "and", "drug", "route", "of", "drug", "code", "nyst500", "t", "?"], "sql_tok": ["SELECT", "PRESCRIPTIONS.\"DRUG\",PRESCRIPTIONS.\"ROUTE\"", "FROM", "PRESCRIPTIONS", "WHERE", "PRESCRIPTIONS.\"FORMULARY_DRUG_CD\"", "=", "\"NYST500T\""]}
{"key": "ad62d9f1b61bd4c0afaf821ea25bb809", "format": {"table": [3], "cond": [[3, 5, 0, "KPHO45I"]], "agg_col": [[3, 3], [3, 6]], "sel": 0}, "question_refine": "name the drug type and route of administration for drug with drug code kpho45i.", "sql": "SELECT PRESCRIPTIONS.\"DRUG_TYPE\",PRESCRIPTIONS.\"ROUTE\" FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.\"FORMULARY_DRUG_CD\" = \"KPHO45I\"", "question_refine_tok": ["name", "the", "drug", "type", "and", "route", "of", "administration", "for", "drug", "with", "drug", "code", "kpho45i", "."], "sql_tok": ["SELECT", "PRESCRIPTIONS.\"DRUG_TYPE\",PRESCRIPTIONS.\"ROUTE\"", "FROM", "PRESCRIPTIONS", "WHERE", "PRESCRIPTIONS.\"FORMULARY_DRUG_CD\"", "=", "\"KPHO45I\""]}
{"key": "884a573f35d019b3bb0fe434ad5a2d78", "format": {"table": [0], "cond": [[0, 3, 0, "SINGLE"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "calculate the total number of unmarried patients. ", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"MARITAL_STATUS\" = \"SINGLE\"", "question_refine_tok": ["calculate", "the", "total", "number", "of", "unmarried", "patients", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"MARITAL_STATUS\"", "=", "\"SINGLE\""]}
{"key": "9bd46aa88780c8ffc2597327bfa6d9bd", "format": {"table": [0], "cond": [[0, 9, 0, "URGENT"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "provide the number of patients whose admission type is urgent.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ADMISSION_TYPE\" = \"URGENT\"", "question_refine_tok": ["provide", "the", "number", "of", "patients", "whose", "admission", "type", "is", "urgent", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ADMISSION_TYPE\"", "=", "\"URGENT\""]}
{"key": "0184df207ef06907df1fb65797ab9b69", "format": {"table": [0], "cond": [[0, 18, 2, 2146]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "tell me the number of patients who were born before 2146.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DOB_YEAR\" < \"2146\"", "question_refine_tok": ["tell", "me", "the", "number", "of", "patients", "who", "were", "born", "before", "2146", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DOB_YEAR\"", "<", "\"2146\""]}
{"key": "9e2e39278d691cbd1bca1da3cfca362f", "format": {"table": [0, 1], "cond": [[1, 2, 0, "42842"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "calculate the number of patients with diagnoses icd9 code 42842.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DIAGNOSES.\"ICD9_CODE\" = \"42842\"", "question_refine_tok": ["calculate", "the", "number", "of", "patients", "with", "diagnoses", "icd9", "code", "42842", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DIAGNOSES.\"ICD9_CODE\"", "=", "\"42842\""]}
{"key": "97d303ec02cd44af836860b5bbec1d68", "format": {"table": [0, 1], "cond": [[1, 2, 0, "2920"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "which patients have diagnoses icd9 code 2920?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DIAGNOSES.\"ICD9_CODE\" = \"2920\"", "question_refine_tok": ["which", "patients", "have", "diagnoses", "icd9", "code", "2920", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DIAGNOSES.\"ICD9_CODE\"", "=", "\"2920\""]}
{"key": "04531e28c38575a4a2bdca04faa8c77b", "format": {"table": [0, 1], "cond": [[1, 3, 0, "Hx traumatic fracture"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients are diagnosed with hx traumatic fracture?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DIAGNOSES.\"SHORT_TITLE\" = \"Hx traumatic fracture\"", "question_refine_tok": ["how", "many", "patients", "are", "diagnosed", "with", "hx", "traumatic", "fracture", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"Hx", "traumatic", "fracture\""]}
{"key": "aaaa09cf4ad17119ae748e7b44f1d7c6", "format": {"table": [0, 2], "cond": [[2, 2, 0, 41]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients had the procedure under icd9 code 41?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE PROCEDURES.\"ICD9_CODE\" = \"41\"", "question_refine_tok": ["how", "many", "patients", "had", "the", "procedure", "under", "icd9", "code", "41", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "PROCEDURES.\"ICD9_CODE\"", "=", "\"41\""]}
{"key": "88f2ae995e293195ccf9d017638d422c", "format": {"table": [0, 2], "cond": [[2, 4, 0, "Arthrocentesis"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the total number of patients who had arthrocentesis?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE PROCEDURES.\"LONG_TITLE\" = \"Arthrocentesis\"", "question_refine_tok": ["what", "is", "the", "total", "number", "of", "patients", "who", "had", "arthrocentesis", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "PROCEDURES.\"LONG_TITLE\"", "=", "\"Arthrocentesis\""]}
{"key": "87d3070d03de888cbc5b8b08d0b7a471", "format": {"table": [0, 3], "cond": [[3, 4, 0, "Potassium Chloride (Powder)"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "tell me the number of patients who have been prescribed potassium chloride (powder) drug.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE PRESCRIPTIONS.\"DRUG\" = \"Potassium Chloride (Powder)\"", "question_refine_tok": ["tell", "me", "the", "number", "of", "patients", "who", "have", "been", "prescribed", "potassium", "chloride", "(", "powder", ")", "drug", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "PRESCRIPTIONS.\"DRUG\"", "=", "\"Potassium", "Chloride", "(Powder)\""]}
{"key": "9aaae00ca767b3d793f63b3cf50e3542", "format": {"table": [0, 3], "cond": [[3, 5, 0, "RIS1L"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of patients with drug code ris1l?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE PRESCRIPTIONS.\"FORMULARY_DRUG_CD\" = \"RIS1L\"", "question_refine_tok": ["what", "is", "the", "number", "of", "patients", "with", "drug", "code", "ris1l", "?"], "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\"", "=", "\"RIS1L\""]}
{"key": "9e44eba73424833811971163b94d92f3", "format": {"table": [0, 3], "cond": [[3, 5, 0, "ZOSY4FPB"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients had zosy4fpb as their 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\" = \"ZOSY4FPB\"", "question_refine_tok": ["how", "many", "patients", "had", "zosy4fpb", "as", "their", "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\"", "=", "\"ZOSY4FPB\""]}
{"key": "8ed7381131391075a911f31c05c9e3ed", "format": {"table": [0, 3], "cond": [[3, 5, 0, "OXYM15"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients have drug code oxym15?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE PRESCRIPTIONS.\"FORMULARY_DRUG_CD\" = \"OXYM15\"", "question_refine_tok": ["how", "many", "patients", "have", "drug", "code", "oxym15", "?"], "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\"", "=", "\"OXYM15\""]}
{"key": "8ee267d3ebb2638adb49055bf5643383", "format": {"table": [0, 3], "cond": [[3, 5, 0, "VORI200"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of patients who have drug code vori200?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE PRESCRIPTIONS.\"FORMULARY_DRUG_CD\" = \"VORI200\"", "question_refine_tok": ["what", "is", "the", "number", "of", "patients", "who", "have", "drug", "code", "vori200", "?"], "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\"", "=", "\"VORI200\""]}
{"key": "aa660f69986b6a3c7a9f71b58ef849d6", "format": {"table": [0, 4], "cond": [[4, 2, 0, 50802]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "which patients have lab test item id 50802?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE LAB.\"ITEMID\" = \"50802\"", "question_refine_tok": ["which", "patients", "have", "lab", "test", "item", "i", "d", "50802", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "LAB.\"ITEMID\"", "=", "\"50802\""]}
{"key": "008452ec0d8e3074023da5b599850454", "format": {"table": [0, 4], "cond": [[4, 2, 0, 50922]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients are tested with lab item id 50922?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE LAB.\"ITEMID\" = \"50922\"", "question_refine_tok": ["how", "many", "patients", "are", "tested", "with", "lab", "item", "i", "d", "50922", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "LAB.\"ITEMID\"", "=", "\"50922\""]}
{"key": "0a1dcb8cb5d013e3feb7229a7b8ac869", "format": {"table": [0, 4], "cond": [[4, 6, 0, "Magnesium, Urine"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "get me the number of patients who had urine magnesium lab test.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE LAB.\"LABEL\" = \"Magnesium, Urine\"", "question_refine_tok": ["get", "me", "the", "number", "of", "patients", "who", "had", "urine", "magnesium", "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\"", "=", "\"Magnesium,", "Urine\""]}
{"key": "a848894f5b91889403e955cc65b906b8", "format": {"table": [0, 4], "cond": [[4, 6, 0, "Glucose, CSF"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many  patients had csf glucose lab test done?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE LAB.\"LABEL\" = \"Glucose, CSF\"", "question_refine_tok": ["how", "many", " ", "patients", "had", "csf", "glucose", "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.\"LABEL\"", "=", "\"Glucose,", "CSF\""]}
{"key": "9fd1f00aa01bc66079062d70eff0e854", "format": {"table": [0], "cond": [[0, 3, 0, "MARRIED"], [0, 16, 0, "CORONARY ARTERY DISEASE\\CORONARY ARTERY BYPASS GRAFT WITH MVR; ? MAZE"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients are married and diagnosed with primary disease coronary artery disease\\coronary artery bypass graft with mvr; ? maze?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"MARITAL_STATUS\" = \"MARRIED\" AND DEMOGRAPHIC.\"DIAGNOSIS\" = \"CORONARY ARTERY DISEASE\\CORONARY ARTERY BYPASS GRAFT WITH MVR; ? MAZE\"", "question_refine_tok": ["how", "many", "patients", "are", "married", "and", "diagnosed", "with", "primary", "disease", "coronary", "artery", "disease\\coronary", "artery", "bypass", "graft", "with", "mvr", ";", "?", "maze", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"MARITAL_STATUS\"", "=", "\"MARRIED\"", "AND", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"CORONARY", "ARTERY", "DISEASE\\CORONARY", "ARTERY", "BYPASS", "GRAFT", "WITH", "MVR;", "?", "MAZE\""]}
{"key": "0feb6c94275dae4ee5dc08799c8e771b", "format": {"table": [0], "cond": [[0, 6, 0, "M"], [0, 16, 0, "GUILLAIN BARRE SYNDROME"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many male patients had guillain barre syndrome as their primary disease?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"GENDER\" = \"M\" AND DEMOGRAPHIC.\"DIAGNOSIS\" = \"GUILLAIN BARRE SYNDROME\"", "question_refine_tok": ["how", "many", "male", "patients", "had", "guillain", "barre", "syndrome", "as", "their", "primary", "disease", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"GENDER\"", "=", "\"M\"", "AND", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"GUILLAIN", "BARRE", "SYNDROME\""]}
{"key": "9784119760b70ee84b43a5775f019e0c", "format": {"table": [0], "cond": [[0, 6, 0, "F"], [0, 4, 2, 89]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of female patients under the age of 89.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"GENDER\" = \"F\" AND DEMOGRAPHIC.\"AGE\" < \"89\"", "question_refine_tok": ["count", "the", "number", "of", "female", "patients", "under", "the", "age", "of", "89", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"GENDER\"", "=", "\"F\"", "AND", "DEMOGRAPHIC.\"AGE\"", "<", "\"89\""]}
{"key": "8c655677cdaca2684d688418d197aed1", "format": {"table": [0, 1], "cond": [[0, 6, 0, "M"], [1, 2, 0, "5119"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "find the male patients who have diagnoses icd9 code 5119.", "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\" = \"5119\"", "question_refine_tok": ["find", "the", "male", "patients", "who", "have", "diagnoses", "icd9", "code", "5119", "."], "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\"", "=", "\"5119\""]}
{"key": "8206c4526c7bf28ff92cc711d5e4eb9e", "format": {"table": [0, 1], "cond": [[0, 6, 0, "F"], [1, 3, 0, "Constipation NOS"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many female patients have been diagnosed with unspecified constipation?", "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\" = \"Constipation NOS\"", "question_refine_tok": ["how", "many", "female", "patients", "have", "been", "diagnosed", "with", "unspecified", "constipation", "?"], "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\"", "=", "\"Constipation", "NOS\""]}
{"key": "ac6c964a4c0b2e2ccf71af7ff7e02fac", "format": {"table": [0], "cond": [[0, 9, 0, "NEWBORN"], [0, 18, 2, 2168]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "give the number of newborns who were born before the year 2168.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ADMISSION_TYPE\" = \"NEWBORN\" AND DEMOGRAPHIC.\"DOB_YEAR\" < \"2168\"", "question_refine_tok": ["give", "the", "number", "of", "newborns", "who", "were", "born", "before", "the", "year", "2168", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ADMISSION_TYPE\"", "=", "\"NEWBORN\"", "AND", "DEMOGRAPHIC.\"DOB_YEAR\"", "<", "\"2168\""]}
{"key": "808ab7ccfd71b1f2114350a202cbae90", "format": {"table": [0, 4], "cond": [[0, 9, 0, "ELECTIVE"], [4, 6, 0, "Lactate"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "calculate the number of patients on elective admission who had a lab test for lactate", "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\" = \"Lactate\"", "question_refine_tok": ["calculate", "the", "number", "of", "patients", "on", "elective", "admission", "who", "had", "a", "lab", "test", "for", "lactate"], "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\"", "=", "\"Lactate\""]}
{"key": "96c68e89c04906418748aa32f756ecae", "format": {"table": [0, 4], "cond": [[0, 9, 0, "EMERGENCY"], [4, 6, 0, "Ferritin"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients admitted in emergency were tested for ferritin?", "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\" = \"Ferritin\"", "question_refine_tok": ["how", "many", "patients", "admitted", "in", "emergency", "were", "tested", "for", "ferritin", "?"], "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\"", "=", "\"Ferritin\""]}
{"key": "9dc64d2612463b12a1c7a0fff2cb8a79", "format": {"table": [0, 1], "cond": [[0, 12, 0, "WHITE"], [1, 3, 0, "Portal hypertension"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "show me the number of white ethnic background patients who have the diagnoses of portal hypertension.", "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\" = \"Portal hypertension\"", "question_refine_tok": ["show", "me", "the", "number", "of", "white", "ethnic", "background", "patients", "who", "have", "the", "diagnoses", "of", "portal", "hypertension", "."], "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\"", "=", "\"Portal", "hypertension\""]}
{"key": "07495e00ef62b05d9783f9928d656d1f", "format": {"table": [0, 1], "cond": [[0, 12, 0, "WHITE"], [1, 3, 0, "Pleural effusion NOS"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients with white ethnic background are diagnosed with unspecified pleural effusion?", "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\" = \"Pleural effusion NOS\"", "question_refine_tok": ["how", "many", "patients", "with", "white", "ethnic", "background", "are", "diagnosed", "with", "unspecified", "pleural", "effusion", "?"], "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\"", "=", "\"Pleural", "effusion", "NOS\""]}
{"key": "0e8272658be25dcd6baac667cfc23de8", "format": {"table": [0], "cond": [[0, 16, 0, "SIGMOID DIVERTICULITIS, COLOVESTICAL FISTULA/SDA"], [0, 10, 1, 26]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many of the patients with sigmoid diverticulitis, colovestical fistula/sda as primary disease had a hospital stay for more than 26 days?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"SIGMOID DIVERTICULITIS, COLOVESTICAL FISTULA/SDA\" AND DEMOGRAPHIC.\"DAYS_STAY\" > \"26\"", "question_refine_tok": ["how", "many", "of", "the", "patients", "with", "sigmoid", "diverticulitis", ",", "colovestical", "fistula", "/", "sda", "as", "primary", "disease", "had", "a", "hospital", "stay", "for", "more", "than", "26", "days", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"SIGMOID", "DIVERTICULITIS,", "COLOVESTICAL", "FISTULA/SDA\"", "AND", "DEMOGRAPHIC.\"DAYS_STAY\"", ">", "\"26\""]}
{"key": "ba4ce0085b3d0896060058362147c7a4", "format": {"table": [0], "cond": [[0, 16, 0, "GUILLAIN BARRE SYNDROME"], [0, 10, 1, 10]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "calculate the total number of patients with guillain barre syndrome as primary disease who stayed at hospital for more than 10 days.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"GUILLAIN BARRE SYNDROME\" AND DEMOGRAPHIC.\"DAYS_STAY\" > \"10\"", "question_refine_tok": ["calculate", "the", "total", "number", "of", "patients", "with", "guillain", "barre", "syndrome", "as", "primary", "disease", "who", "stayed", "at", "hospital", "for", "more", "than", "10", "days", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"GUILLAIN", "BARRE", "SYNDROME\"", "AND", "DEMOGRAPHIC.\"DAYS_STAY\"", ">", "\"10\""]}
{"key": "89a0044a0f95cc0d7cc6757f5a6c4d6f", "format": {"table": [0, 3], "cond": [[0, 16, 0, "VENTRICULAR TACHYCARDIA"], [3, 3, 0, "BASE"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "among patients treated with base drug, how many of them had ventricular tachycardia as primary disease?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"VENTRICULAR TACHYCARDIA\" AND PRESCRIPTIONS.\"DRUG_TYPE\" = \"BASE\"", "question_refine_tok": ["among", "patients", "treated", "with", "base", "drug", ",", "how", "many", "of", "them", "had", "ventricular", "tachycardia", "as", "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\"", "=", "\"VENTRICULAR", "TACHYCARDIA\"", "AND", "PRESCRIPTIONS.\"DRUG_TYPE\"", "=", "\"BASE\""]}
{"key": "034ba91dc253e7717c3102b2a97d2f49", "format": {"table": [0, 3], "cond": [[0, 16, 0, "ABDOMINAL ABSCESS"], [3, 3, 0, "MAIN"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what number of patients with abdominal abscess had drug type as main?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"ABDOMINAL ABSCESS\" AND PRESCRIPTIONS.\"DRUG_TYPE\" = \"MAIN\"", "question_refine_tok": ["what", "number", "of", "patients", "with", "abdominal", "abscess", "had", "drug", "type", "as", "main", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"ABDOMINAL", "ABSCESS\"", "AND", "PRESCRIPTIONS.\"DRUG_TYPE\"", "=", "\"MAIN\""]}
{"key": "979a734ab882143afcde05bf1b13cbd9", "format": {"table": [0, 4], "cond": [[0, 16, 0, "BRADYCARDIA"], [4, 4, 0, "abnormal"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many of the patients with bradycardia had 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\" = \"BRADYCARDIA\" AND LAB.\"FLAG\" = \"abnormal\"", "question_refine_tok": ["how", "many", "of", "the", "patients", "with", "bradycardia", "had", "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\"", "=", "\"BRADYCARDIA\"", "AND", "LAB.\"FLAG\"", "=", "\"abnormal\""]}
{"key": "84ba1a3f8200ea0590903ea10ecc011c", "format": {"table": [0], "cond": [[0, 4, 2, 27], [0, 10, 1, 16]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients under the age of 27 stayed in the hospital for more than 16 days?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"AGE\" < \"27\" AND DEMOGRAPHIC.\"DAYS_STAY\" > \"16\"", "question_refine_tok": ["how", "many", "patients", "under", "the", "age", "of", "27", "stayed", "in", "the", "hospital", "for", "more", "than", "16", "days", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"AGE\"", "<", "\"27\"", "AND", "DEMOGRAPHIC.\"DAYS_STAY\"", ">", "\"16\""]}
{"key": "06013ea409dea85892342d222c94f3dd", "format": {"table": [0, 1], "cond": [[0, 4, 2, 81], [1, 2, 0, "28522"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients aged below 81 years had the diagnosis icd9 code 28522?", "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.\"ICD9_CODE\" = \"28522\"", "question_refine_tok": ["how", "many", "patients", "aged", "below", "81", "years", "had", "the", "diagnosis", "icd9", "code", "28522", "?"], "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.\"ICD9_CODE\"", "=", "\"28522\""]}
{"key": "072bad6b44992233a722bf1135799e59", "format": {"table": [0, 3], "cond": [[0, 4, 2, 56], [3, 4, 0, "Insulin Human Regular"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "give the number of patients under the age of 56 whose drug name is insulin human regular.", "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\" = \"Insulin Human Regular\"", "question_refine_tok": ["give", "the", "number", "of", "patients", "under", "the", "age", "of", "56", "whose", "drug", "name", "is", "insulin", "human", "regular", "."], "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\"", "=", "\"Insulin", "Human", "Regular\""]}
{"key": "8e7cd8188de5a262b484f55dbfdfb16a", "format": {"table": [0, 3], "cond": [[0, 4, 2, 83], [3, 5, 0, "NTGBASE"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients of age less than 83 years had the drug ntgbase?", "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\" = \"NTGBASE\"", "question_refine_tok": ["how", "many", "patients", "of", "age", "less", "than", "83", "years", "had", "the", "drug", "ntgbase", "?"], "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\"", "=", "\"NTGBASE\""]}
{"key": "0765275a7a13477bb0464fab046ee5a0", "format": {"table": [0, 1], "cond": [[0, 10, 1, 6], [1, 2, 0, "60000"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "show me the number of patients hospitalized for more than 6 days who have diagnoses icd9 code 60000.", "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.\"ICD9_CODE\" = \"60000\"", "question_refine_tok": ["show", "me", "the", "number", "of", "patients", "hospitalized", "for", "more", "than", "6", "days", "who", "have", "diagnoses", "icd9", "code", "60000", "."], "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.\"ICD9_CODE\"", "=", "\"60000\""]}
{"key": "089c48c2efaae378b3bf7ee0d9fa4894", "format": {"table": [0, 2], "cond": [[0, 22, 2, 2200], [2, 4, 0, "Endoscopic removal of stone(s) from biliary tract"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of patients admitted before 2200 who had endoscopic removal of stone(s) from biliary tract.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"ADMITYEAR\" < \"2200\" AND PROCEDURES.\"LONG_TITLE\" = \"Endoscopic removal of stone(s) from biliary tract\"", "question_refine_tok": ["count", "the", "number", "of", "patients", "admitted", "before", "2200", "who", "had", "endoscopic", "removal", "of", "stone(s", ")", "from", "biliary", "tract", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2200\"", "AND", "PROCEDURES.\"LONG_TITLE\"", "=", "\"Endoscopic", "removal", "of", "stone(s)", "from", "biliary", "tract\""]}
{"key": "8447e58e57394384f3f325e732cdd313", "format": {"table": [0, 1, 3], "cond": [[1, 3, 0, "Fx surg nck humerus-clos"], [3, 6, 0, "IV"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "get me the number of patients on iv route of drug administration who are diagnosed with closed fracture of surgical neck of humerus.", "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\" = \"Fx surg nck humerus-clos\" AND PRESCRIPTIONS.\"ROUTE\" = \"IV\"", "question_refine_tok": ["get", "me", "the", "number", "of", "patients", "on", "iv", "route", "of", "drug", "administration", "who", "are", "diagnosed", "with", "closed", "fracture", "of", "surgical", "neck", "of", "humerus", "."], "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\"", "=", "\"Fx", "surg", "nck", "humerus-clos\"", "AND", "PRESCRIPTIONS.\"ROUTE\"", "=", "\"IV\""]}
{"key": "93e86557c8c38990642ec50166303b6b", "format": {"table": [0, 1, 3], "cond": [[1, 3, 0, "Acute kidney failure NOS"], [3, 6, 0, "TP"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "give me the number of patients who were diagnosed with acute kidney failure, unspecified and administered drug via tp 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\" = \"Acute kidney failure NOS\" AND PRESCRIPTIONS.\"ROUTE\" = \"TP\"", "question_refine_tok": ["give", "me", "the", "number", "of", "patients", "who", "were", "diagnosed", "with", "acute", "kidney", "failure", ",", "unspecified", "and", "administered", "drug", "via", "tp", "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\"", "=", "\"Acute", "kidney", "failure", "NOS\"", "AND", "PRESCRIPTIONS.\"ROUTE\"", "=", "\"TP\""]}
{"key": "06309c2f77f11d404ae955cf4e39d47b", "format": {"table": [0, 1, 4], "cond": [[1, 3, 0, "DMI keto nt st uncntrld"], [4, 8, 0, "Blood Gas"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "provide the number of patients whose diagnosis short title is dmi keto nt st uncontrolled and lab test category is 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.\"SHORT_TITLE\" = \"DMI keto nt st uncntrld\" AND LAB.\"CATEGORY\" = \"Blood Gas\"", "question_refine_tok": ["provide", "the", "number", "of", "patients", "whose", "diagnosis", "short", "title", "is", "dmi", "keto", "nt", "st", "uncontrolled", "and", "lab", "test", "category", "is", "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.\"SHORT_TITLE\"", "=", "\"DMI", "keto", "nt", "st", "uncntrld\"", "AND", "LAB.\"CATEGORY\"", "=", "\"Blood", "Gas\""]}
{"key": "870f5b622617243df5706ef4fa1a51da", "format": {"table": [0, 1, 4], "cond": [[1, 4, 0, "Other Staphylococcus pneumonia"], [4, 8, 0, "Blood Gas"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients are diagnosed with staphylococcus pneumonia have blood gas lab test category?", "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 Staphylococcus pneumonia\" AND LAB.\"CATEGORY\" = \"Blood Gas\"", "question_refine_tok": ["how", "many", "patients", "are", "diagnosed", "with", "staphylococcus", "pneumonia", "have", "blood", "gas", "lab", "test", "category", "?"], "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", "Staphylococcus", "pneumonia\"", "AND", "LAB.\"CATEGORY\"", "=", "\"Blood", "Gas\""]}
{"key": "811e1ba5eb77fdade7bbd13a6f350757", "format": {"table": [4], "cond": [[4, 0, 0, 3343]], "agg_col": [[4, 2], [4, 5]], "sel": 0}, "question_refine": "specify the  item id along-with lab test value for patient id 3343", "sql": "SELECT LAB.\"ITEMID\",LAB.\"VALUE_UNIT\" FROM LAB WHERE LAB.\"SUBJECT_ID\" = \"3343\"", "question_refine_tok": ["specify", "the", " ", "item", "i", "d", "along", "-", "with", "lab", "test", "value", "for", "patient", "i", "d", "3343"], "sql_tok": ["SELECT", "LAB.\"ITEMID\",LAB.\"VALUE_UNIT\"", "FROM", "LAB", "WHERE", "LAB.\"SUBJECT_ID\"", "=", "\"3343\""]}
{"key": "0b265651dd99d7806feaa26008b010e8", "format": {"table": [0], "cond": [[0, 0, 0, 4589]], "agg_col": [[0, 16], [0, 20]], "sel": 0}, "question_refine": "find out the time of admission and primary disease of patient with patient id 4589.", "sql": "SELECT DEMOGRAPHIC.\"DIAGNOSIS\",DEMOGRAPHIC.\"ADMITTIME\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"4589\"", "question_refine_tok": ["find", "out", "the", "time", "of", "admission", "and", "primary", "disease", "of", "patient", "with", "patient", "i", "d", "4589", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DIAGNOSIS\",DEMOGRAPHIC.\"ADMITTIME\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"4589\""]}
{"key": "ad6a9c9720c5a63538b4bfe468e3cafa", "format": {"table": [0], "cond": [[0, 0, 0, 18351]], "agg_col": [[0, 5]], "sel": 0}, "question_refine": "what is the date of birth of the patient id 18351?", "sql": "SELECT DEMOGRAPHIC.\"DOB\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"18351\"", "question_refine_tok": ["what", "is", "the", "date", "of", "birth", "of", "the", "patient", "i", "d", "18351", "?"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DOB\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"18351\""]}
{"key": "807ed8b40c34e53869ce863c6ed2489a", "format": {"table": [4], "cond": [[4, 0, 0, 19187]], "agg_col": [[4, 6]], "sel": 0}, "question_refine": "which lab test has been ordered for patient with patient id 19187?", "sql": "SELECT LAB.\"LABEL\" FROM LAB WHERE LAB.\"SUBJECT_ID\" = \"19187\"", "question_refine_tok": ["which", "lab", "test", "has", "been", "ordered", "for", "patient", "with", "patient", "i", "d", "19187", "?"], "sql_tok": ["SELECT", "LAB.\"LABEL\"", "FROM", "LAB", "WHERE", "LAB.\"SUBJECT_ID\"", "=", "\"19187\""]}
{"key": "93b51307495b8a4c78161d7b0c6b6aaf", "format": {"table": [0], "cond": [[0, 0, 0, 32418]], "agg_col": [[0, 6], [0, 13]], "sel": 0}, "question_refine": "what is the gender and death status of subject id 32418?", "sql": "SELECT DEMOGRAPHIC.\"GENDER\",DEMOGRAPHIC.\"EXPIRE_FLAG\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"32418\"", "question_refine_tok": ["what", "is", "the", "gender", "and", "death", "status", "of", "subject", "i", "d", "32418", "?"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"GENDER\",DEMOGRAPHIC.\"EXPIRE_FLAG\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"32418\""]}
{"key": "90cfc504183abdca82e353ac2a4eca19", "format": {"table": [0], "cond": [[0, 0, 0, 64208]], "agg_col": [[0, 10]], "sel": 0}, "question_refine": "for how many days did the subject id 64208 stay in the hospital?", "sql": "SELECT DEMOGRAPHIC.\"DAYS_STAY\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"64208\"", "question_refine_tok": ["for", "how", "many", "days", "did", "the", "subject", "i", "d", "64208", "stay", "in", "the", "hospital", "?"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DAYS_STAY\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"64208\""]}
{"key": "079611ace011a01f44e1b3128b020e0c", "format": {"table": [0], "cond": [[0, 0, 0, 5027]], "agg_col": [[0, 6], [0, 20]], "sel": 0}, "question_refine": "find out the time of admission and gender of patient with patient id 5027.", "sql": "SELECT DEMOGRAPHIC.\"GENDER\",DEMOGRAPHIC.\"ADMITTIME\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"5027\"", "question_refine_tok": ["find", "out", "the", "time", "of", "admission", "and", "gender", "of", "patient", "with", "patient", "i", "d", "5027", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"GENDER\",DEMOGRAPHIC.\"ADMITTIME\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"5027\""]}
{"key": "06d97dfc2dbf8ef1b61c77f6450b09e2", "format": {"table": [0], "cond": [[0, 0, 0, 15061]], "agg_col": [[0, 10], [0, 20]], "sel": 0}, "question_refine": "find out the time of admission and days for which patient with patient id 15061 stayed in hospital.", "sql": "SELECT DEMOGRAPHIC.\"DAYS_STAY\",DEMOGRAPHIC.\"ADMITTIME\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"15061\"", "question_refine_tok": ["find", "out", "the", "time", "of", "admission", "and", "days", "for", "which", "patient", "with", "patient", "i", "d", "15061", "stayed", "in", "hospital", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DAYS_STAY\",DEMOGRAPHIC.\"ADMITTIME\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"15061\""]}
{"key": "0b70acfbd0281aad4f480933ffe64361", "format": {"table": [0, 1], "cond": [[0, 0, 0, 74463]], "agg_col": [[0, 10], [1, 3]], "sel": 0}, "question_refine": "tell me the short title of diagnoses and days for which patient with patient id 74463 was hospitalized.", "sql": "SELECT DEMOGRAPHIC.\"DAYS_STAY\",DIAGNOSES.\"SHORT_TITLE\" FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"74463\"", "question_refine_tok": ["tell", "me", "the", "short", "title", "of", "diagnoses", "and", "days", "for", "which", "patient", "with", "patient", "i", "d", "74463", "was", "hospitalized", "."], "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\"", "=", "\"74463\""]}
{"key": "8404915c4b01e35617f74cf4e165a482", "format": {"table": [1, 2], "cond": [[1, 0, 0, 74463]], "agg_col": [[1, 3], [2, 3]], "sel": 0}, "question_refine": "let me know the short title of both diagnoses and procedure for patient with patient id 74463.", "sql": "SELECT DIAGNOSES.\"SHORT_TITLE\",PROCEDURES.\"SHORT_TITLE\" FROM DIAGNOSES INNER JOIN PROCEDURES on DIAGNOSES.HADM_ID = PROCEDURES.HADM_ID WHERE DIAGNOSES.\"SUBJECT_ID\" = \"74463\"", "question_refine_tok": ["let", "me", "know", "the", "short", "title", "of", "both", "diagnoses", "and", "procedure", "for", "patient", "with", "patient", "i", "d", "74463", "."], "sql_tok": ["SELECT", "DIAGNOSES.\"SHORT_TITLE\",PROCEDURES.\"SHORT_TITLE\"", "FROM", "DIAGNOSES", "INNER", "JOIN", "PROCEDURES", "on", "DIAGNOSES.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DIAGNOSES.\"SUBJECT_ID\"", "=", "\"74463\""]}
{"key": "0c634bd307fe322fe7635e7c501216fb", "format": {"table": [0, 3], "cond": [[0, 0, 0, 42963]], "agg_col": [[0, 20], [3, 4]], "sel": 0}, "question_refine": "specify the admission time of patient id 42963 and name of drug he was treated with", "sql": "SELECT DEMOGRAPHIC.\"ADMITTIME\",PRESCRIPTIONS.\"DRUG\" FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"42963\"", "question_refine_tok": ["specify", "the", "admission", "time", "of", "patient", "i", "d", "42963", "and", "name", "of", "drug", "he", "was", "treated", "with"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"ADMITTIME\",PRESCRIPTIONS.\"DRUG\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"42963\""]}
{"key": "978abea4b2ca331bf1fe71cf4ef8e76b", "format": {"table": [0], "cond": [[0, 2, 0, "Michelle Medina"]], "agg_col": [[0, 9], [0, 16]], "sel": 0}, "question_refine": "let me know the type of admission and primary disease of patient michelle medina.", "sql": "SELECT DEMOGRAPHIC.\"ADMISSION_TYPE\",DEMOGRAPHIC.\"DIAGNOSIS\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"NAME\" = \"Michelle Medina\"", "question_refine_tok": ["let", "me", "know", "the", "type", "of", "admission", "and", "primary", "disease", "of", "patient", "michelle", "medina", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"ADMISSION_TYPE\",DEMOGRAPHIC.\"DIAGNOSIS\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Michelle", "Medina\""]}
{"key": "967b4b86e33d04af0fe19b4704bc0947", "format": {"table": [0, 2], "cond": [[0, 2, 0, "Estrella Carroll"]], "agg_col": [[0, 4], [2, 2]], "sel": 0}, "question_refine": "let me know the age and procedure icd9 code for estrella carroll.", "sql": "SELECT DEMOGRAPHIC.\"AGE\",PROCEDURES.\"ICD9_CODE\" FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"NAME\" = \"Estrella Carroll\"", "question_refine_tok": ["let", "me", "know", "the", "age", "and", "procedure", "icd9", "code", "for", "estrella", "carroll", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"AGE\",PROCEDURES.\"ICD9_CODE\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Estrella", "Carroll\""]}
{"key": "84b5072282573a272fdb50327c7708c2", "format": {"table": [0, 1], "cond": [[0, 2, 0, "John Gartman"]], "agg_col": [[1, 2], [1, 3]], "sel": 0}, "question_refine": "let me know the short title and icd9 code of diagnoses for patient john gartman.", "sql": "SELECT DIAGNOSES.\"ICD9_CODE\",DIAGNOSES.\"SHORT_TITLE\" FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"NAME\" = \"John Gartman\"", "question_refine_tok": ["let", "me", "know", "the", "short", "title", "and", "icd9", "code", "of", "diagnoses", "for", "patient", "john", "gartman", "."], "sql_tok": ["SELECT", "DIAGNOSES.\"ICD9_CODE\",DIAGNOSES.\"SHORT_TITLE\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"John", "Gartman\""]}
{"key": "8950462c2c058b210b4f8bf9ebd7df52", "format": {"table": [0], "cond": [[0, 2, 0, "Erik Dickerson"]], "agg_col": [[0, 6], [0, 20]], "sel": 0}, "question_refine": "tell me the time of admission and gender of patient erik dickerson.", "sql": "SELECT DEMOGRAPHIC.\"GENDER\",DEMOGRAPHIC.\"ADMITTIME\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"NAME\" = \"Erik Dickerson\"", "question_refine_tok": ["tell", "me", "the", "time", "of", "admission", "and", "gender", "of", "patient", "erik", "dickerson", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"GENDER\",DEMOGRAPHIC.\"ADMITTIME\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Erik", "Dickerson\""]}
{"key": "88cafcb9bcbf8a5b2e3f0e23b9239292", "format": {"table": [0], "cond": [[0, 2, 0, "Lue White"]], "agg_col": [[0, 4], [0, 13]], "sel": 0}, "question_refine": "let me know the age and status of death of patient lue white.", "sql": "SELECT DEMOGRAPHIC.\"AGE\",DEMOGRAPHIC.\"EXPIRE_FLAG\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"NAME\" = \"Lue White\"", "question_refine_tok": ["let", "me", "know", "the", "age", "and", "status", "of", "death", "of", "patient", "lue", "white", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"AGE\",DEMOGRAPHIC.\"EXPIRE_FLAG\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Lue", "White\""]}
{"key": "a91662962db8e07e736ab98af1360c0e", "format": {"table": [0], "cond": [[0, 2, 0, "Lue White"]], "agg_col": [[0, 5], [0, 20]], "sel": 0}, "question_refine": "what is the date of birth and admission time of subject name lue white?", "sql": "SELECT DEMOGRAPHIC.\"DOB\",DEMOGRAPHIC.\"ADMITTIME\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"NAME\" = \"Lue White\"", "question_refine_tok": ["what", "is", "the", "date", "of", "birth", "and", "admission", "time", "of", "subject", "name", "lue", "white", "?"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DOB\",DEMOGRAPHIC.\"ADMITTIME\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Lue", "White\""]}
{"key": "028b981e8d52156a2146d57c9afa795c", "format": {"table": [0], "cond": [[0, 2, 0, "David Trammell"]], "agg_col": [[0, 5], [0, 16]], "sel": 0}, "question_refine": "what is the date of birth and primary disease of subject name david trammell?", "sql": "SELECT DEMOGRAPHIC.\"DOB\",DEMOGRAPHIC.\"DIAGNOSIS\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"NAME\" = \"David Trammell\"", "question_refine_tok": ["what", "is", "the", "date", "of", "birth", "and", "primary", "disease", "of", "subject", "name", "david", "trammell", "?"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DOB\",DEMOGRAPHIC.\"DIAGNOSIS\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"David", "Trammell\""]}
{"key": "a06c700768efa107c977fbd8f2d95989", "format": {"table": [0], "cond": [[0, 2, 0, "Herlinda Thomson"]], "agg_col": [[0, 20]], "sel": 0}, "question_refine": "for patient herlinda thomson, specify the time of admission", "sql": "SELECT DEMOGRAPHIC.\"ADMITTIME\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"NAME\" = \"Herlinda Thomson\"", "question_refine_tok": ["for", "patient", "herlinda", "thomson", ",", "specify", "the", "time", "of", "admission"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"ADMITTIME\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Herlinda", "Thomson\""]}
{"key": "aa3c4803c0aca1c991037d46ab8891a2", "format": {"table": [0], "cond": [[0, 2, 0, "Sheila Riley"]], "agg_col": [[0, 10]], "sel": 0}, "question_refine": "for patient sheila riley, specify the duration of hospital stay", "sql": "SELECT DEMOGRAPHIC.\"DAYS_STAY\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"NAME\" = \"Sheila Riley\"", "question_refine_tok": ["for", "patient", "sheila", "riley", ",", "specify", "the", "duration", "of", "hospital", "stay"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DAYS_STAY\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Sheila", "Riley\""]}
{"key": "09e03098584e026254e4f3b57ab3f524", "format": {"table": [0, 2], "cond": [[0, 2, 0, "Alice Nixon"]], "agg_col": [[2, 2], [2, 3]], "sel": 0}, "question_refine": "tell me the short title and icd9 code of procedure for patient alice nixon.", "sql": "SELECT PROCEDURES.\"ICD9_CODE\",PROCEDURES.\"SHORT_TITLE\" FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"NAME\" = \"Alice Nixon\"", "question_refine_tok": ["tell", "me", "the", "short", "title", "and", "icd9", "code", "of", "procedure", "for", "patient", "alice", "nixon", "."], "sql_tok": ["SELECT", "PROCEDURES.\"ICD9_CODE\",PROCEDURES.\"SHORT_TITLE\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Alice", "Nixon\""]}
{"key": "ab0da7d05a345b85c091b469d2dc2d98", "format": {"table": [0, 3], "cond": [[0, 2, 0, "Dona Cole"]], "agg_col": [[0, 15], [3, 2]], "sel": 0}, "question_refine": "specify the discharge location of patient dona cole along-with icu stay id", "sql": "SELECT DEMOGRAPHIC.\"DISCHARGE_LOCATION\",PRESCRIPTIONS.\"ICUSTAY_ID\" FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"NAME\" = \"Dona Cole\"", "question_refine_tok": ["specify", "the", "discharge", "location", "of", "patient", "dona", "cole", "along", "-", "with", "icu", "stay", "i", "d"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DISCHARGE_LOCATION\",PRESCRIPTIONS.\"ICUSTAY_ID\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Dona", "Cole\""]}
{"key": "a42b052cc593a90aed642a74ae195507", "format": {"table": [0], "cond": [[0, 2, 0, "Orville Ford"]], "agg_col": [[0, 3], [0, 4]], "sel": 0}, "question_refine": "what is the marital status and age of the patient name orville ford?", "sql": "SELECT DEMOGRAPHIC.\"MARITAL_STATUS\",DEMOGRAPHIC.\"AGE\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"NAME\" = \"Orville Ford\"", "question_refine_tok": ["what", "is", "the", "marital", "status", "and", "age", "of", "the", "patient", "name", "orville", "ford", "?"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"MARITAL_STATUS\",DEMOGRAPHIC.\"AGE\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Orville", "Ford\""]}
{"key": "0709550ec8aeff15ee0fd6fe36ed4c0f", "format": {"table": [0], "cond": [[0, 2, 0, "Theresa Vedovelli"]], "agg_col": [[0, 16]], "sel": 0}, "question_refine": "which disease is theresa vedovelli primarily suffering from?", "sql": "SELECT DEMOGRAPHIC.\"DIAGNOSIS\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"NAME\" = \"Theresa Vedovelli\"", "question_refine_tok": ["which", "disease", "is", "theresa", "vedovelli", "primarily", "suffering", "from", "?"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DIAGNOSIS\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Theresa", "Vedovelli\""]}
{"key": "85a026e0c7b74858f0f566d3bbf499e0", "format": {"table": [0], "cond": [[0, 2, 0, "Bruce Harris"]], "agg_col": [[0, 4]], "sel": 0}, "question_refine": "find the age of subject name bruce harris.", "sql": "SELECT DEMOGRAPHIC.\"AGE\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"NAME\" = \"Bruce Harris\"", "question_refine_tok": ["find", "the", "age", "of", "subject", "name", "bruce", "harris", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"AGE\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Bruce", "Harris\""]}
{"key": "0138ed4f1a039573afe3d860e12c2de9", "format": {"table": [0], "cond": [[0, 2, 0, "Bruce Harris"]], "agg_col": [[0, 10]], "sel": 0}, "question_refine": "for how long the patient bruce harris remained admitted in hospital?", "sql": "SELECT DEMOGRAPHIC.\"DAYS_STAY\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"NAME\" = \"Bruce Harris\"", "question_refine_tok": ["for", "how", "long", "the", "patient", "bruce", "harris", "remained", "admitted", "in", "hospital", "?"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DAYS_STAY\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Bruce", "Harris\""]}
{"key": "90d3424a81b4bfd9018d96003eb18bd8", "format": {"table": [0, 3], "cond": [[0, 2, 0, "Wilbur Braatz"]], "agg_col": [[0, 16], [3, 4]], "sel": 0}, "question_refine": "what is the primary disease and drug name of the patient name wilbur braatz?", "sql": "SELECT DEMOGRAPHIC.\"DIAGNOSIS\",PRESCRIPTIONS.\"DRUG\" FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"NAME\" = \"Wilbur Braatz\"", "question_refine_tok": ["what", "is", "the", "primary", "disease", "and", "drug", "name", "of", "the", "patient", "name", "wilbur", "braatz", "?"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DIAGNOSIS\",PRESCRIPTIONS.\"DRUG\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Wilbur", "Braatz\""]}
{"key": "9aed3ef959f024e0ffaf5f92500bda5a", "format": {"table": [0, 1], "cond": [[0, 2, 0, "Betty Campbell"]], "agg_col": [[0, 16], [1, 3]], "sel": 0}, "question_refine": "mention the primary disease and diagnosis short title of the subject name betty campbell.", "sql": "SELECT DEMOGRAPHIC.\"DIAGNOSIS\",DIAGNOSES.\"SHORT_TITLE\" FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"NAME\" = \"Betty Campbell\"", "question_refine_tok": ["mention", "the", "primary", "disease", "and", "diagnosis", "short", "title", "of", "the", "subject", "name", "betty", "campbell", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DIAGNOSIS\",DIAGNOSES.\"SHORT_TITLE\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Betty", "Campbell\""]}
{"key": "90a66ad09f084e315532cba91f3c36e6", "format": {"table": [0], "cond": [[0, 2, 0, "Thomas Nazario"]], "agg_col": [[0, 14]], "sel": 0}, "question_refine": "from which location was the patient thomas nazario admitted in hospital?", "sql": "SELECT DEMOGRAPHIC.\"ADMISSION_LOCATION\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"NAME\" = \"Thomas Nazario\"", "question_refine_tok": ["from", "which", "location", "was", "the", "patient", "thomas", "nazario", "admitted", "in", "hospital", "?"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"ADMISSION_LOCATION\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Thomas", "Nazario\""]}
{"key": "0ef6faed83eede01bf4c9bb3f186fe66", "format": {"table": [0, 2], "cond": [[0, 2, 0, "Thomas Nazario"]], "agg_col": [[2, 2], [2, 3]], "sel": 0}, "question_refine": "let me know both the short title and icd9 code of procedure of patient thomas nazario.", "sql": "SELECT PROCEDURES.\"ICD9_CODE\",PROCEDURES.\"SHORT_TITLE\" FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"NAME\" = \"Thomas Nazario\"", "question_refine_tok": ["let", "me", "know", "both", "the", "short", "title", "and", "icd9", "code", "of", "procedure", "of", "patient", "thomas", "nazario", "."], "sql_tok": ["SELECT", "PROCEDURES.\"ICD9_CODE\",PROCEDURES.\"SHORT_TITLE\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Thomas", "Nazario\""]}
{"key": "a41c0a71e44265cf13545eae050408e0", "format": {"table": [0], "cond": [[0, 2, 0, "James Cepeda"]], "agg_col": [[0, 14], [0, 16]], "sel": 0}, "question_refine": "specify the primary disease of james cepeda and where he was admitted", "sql": "SELECT DEMOGRAPHIC.\"ADMISSION_LOCATION\",DEMOGRAPHIC.\"DIAGNOSIS\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"NAME\" = \"James Cepeda\"", "question_refine_tok": ["specify", "the", "primary", "disease", "of", "james", "cepeda", "and", "where", "he", "was", "admitted"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"ADMISSION_LOCATION\",DEMOGRAPHIC.\"DIAGNOSIS\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"James", "Cepeda\""]}
{"key": "a8b30455030b0d504a6f7baf7a42414b", "format": {"table": [0, 3], "cond": [[0, 2, 0, "Anna Johnson"]], "agg_col": [[3, 2], [3, 4]], "sel": 0}, "question_refine": "what is the icu stay id and drug name of the patient anna johnson?", "sql": "SELECT PRESCRIPTIONS.\"ICUSTAY_ID\",PRESCRIPTIONS.\"DRUG\" FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"NAME\" = \"Anna Johnson\"", "question_refine_tok": ["what", "is", "the", "icu", "stay", "i", "d", "and", "drug", "name", "of", "the", "patient", "anna", "johnson", "?"], "sql_tok": ["SELECT", "PRESCRIPTIONS.\"ICUSTAY_ID\",PRESCRIPTIONS.\"DRUG\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Anna", "Johnson\""]}
{"key": "037db39747b876ad48d9d833698b4487", "format": {"table": [0, 3], "cond": [[0, 2, 0, "Anna Johnson"]], "agg_col": [[3, 5], [3, 7]], "sel": 0}, "question_refine": "provide the drug code and drug dose for anna johnson.", "sql": "SELECT PRESCRIPTIONS.\"FORMULARY_DRUG_CD\",PRESCRIPTIONS.\"DRUG_DOSE\" FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"NAME\" = \"Anna Johnson\"", "question_refine_tok": ["provide", "the", "drug", "code", "and", "drug", "dose", "for", "anna", "johnson", "."], "sql_tok": ["SELECT", "PRESCRIPTIONS.\"FORMULARY_DRUG_CD\",PRESCRIPTIONS.\"DRUG_DOSE\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Anna", "Johnson\""]}
{"key": "02f1240111fceb0677dbe6db60180e46", "format": {"table": [0, 1], "cond": [[0, 2, 0, "Fernando Wontor"]], "agg_col": [[0, 5], [1, 3]], "sel": 0}, "question_refine": "let me know the birth date and short title of diagnoses for patient fernando wontor.", "sql": "SELECT DEMOGRAPHIC.\"DOB\",DIAGNOSES.\"SHORT_TITLE\" FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"NAME\" = \"Fernando Wontor\"", "question_refine_tok": ["let", "me", "know", "the", "birth", "date", "and", "short", "title", "of", "diagnoses", "for", "patient", "fernando", "wontor", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DOB\",DIAGNOSES.\"SHORT_TITLE\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Fernando", "Wontor\""]}
{"key": "05892334ccb408737d46670f428672c0", "format": {"table": [0], "cond": [[0, 2, 0, "Annette Harris"]], "agg_col": [[0, 15]], "sel": 0}, "question_refine": "what is the discharge location for the patient annette haris?", "sql": "SELECT DEMOGRAPHIC.\"DISCHARGE_LOCATION\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"NAME\" = \"Annette Harris\"", "question_refine_tok": ["what", "is", "the", "discharge", "location", "for", "the", "patient", "annette", "haris", "?"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DISCHARGE_LOCATION\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Annette", "Harris\""]}
{"key": "0a7ebbf361bf96cd1fcfb073368908b5", "format": {"table": [0], "cond": [[0, 2, 0, "Robert Clayton"]], "agg_col": [[0, 16]], "sel": 0}, "question_refine": "find the primary disease of robert clayton.", "sql": "SELECT DEMOGRAPHIC.\"DIAGNOSIS\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"NAME\" = \"Robert Clayton\"", "question_refine_tok": ["find", "the", "primary", "disease", "of", "robert", "clayton", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DIAGNOSIS\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Robert", "Clayton\""]}
{"key": "a8e521fe75222082e06f1a643ea9daca", "format": {"table": [0, 1], "cond": [[0, 2, 0, "Kurt Buczek"]], "agg_col": [[0, 10], [1, 3]], "sel": 0}, "question_refine": "what is the number of days of hospital stay and diagnosis for the patient name kurt buczek?", "sql": "SELECT DEMOGRAPHIC.\"DAYS_STAY\",DIAGNOSES.\"SHORT_TITLE\" FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"NAME\" = \"Kurt Buczek\"", "question_refine_tok": ["what", "is", "the", "number", "of", "days", "of", "hospital", "stay", "and", "diagnosis", "for", "the", "patient", "name", "kurt", "buczek", "?"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DAYS_STAY\",DIAGNOSES.\"SHORT_TITLE\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Kurt", "Buczek\""]}
{"key": "95832f8e506136d97ce571b7c5bd4e10", "format": {"table": [0, 1], "cond": [[0, 2, 0, "Francis Baseler"]], "agg_col": [[1, 2], [1, 4]], "sel": 0}, "question_refine": "what is the diagnosis code and diagnosis long title for the patient francis baseler?", "sql": "SELECT DIAGNOSES.\"ICD9_CODE\",DIAGNOSES.\"LONG_TITLE\" FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"NAME\" = \"Francis Baseler\"", "question_refine_tok": ["what", "is", "the", "diagnosis", "code", "and", "diagnosis", "long", "title", "for", "the", "patient", "francis", "baseler", "?"], "sql_tok": ["SELECT", "DIAGNOSES.\"ICD9_CODE\",DIAGNOSES.\"LONG_TITLE\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Francis", "Baseler\""]}
{"key": "1017466aa786d9466aa74af6bd0700ec", "format": {"table": [0], "cond": [[0, 2, 0, "Travis Hofman"]], "agg_col": [[0, 9], [0, 16]], "sel": 0}, "question_refine": "provide me the admission type and primary disease of patient travis hofman.", "sql": "SELECT DEMOGRAPHIC.\"ADMISSION_TYPE\",DEMOGRAPHIC.\"DIAGNOSIS\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"NAME\" = \"Travis Hofman\"", "question_refine_tok": ["provide", "me", "the", "admission", "type", "and", "primary", "disease", "of", "patient", "travis", "hofman", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"ADMISSION_TYPE\",DEMOGRAPHIC.\"DIAGNOSIS\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Travis", "Hofman\""]}
{"key": "0526387ed551a149d6f3ef5ed44debd7", "format": {"table": [0], "cond": [[0, 2, 0, "Glen Tanner"]], "agg_col": [[0, 9], [0, 10]], "sel": 0}, "question_refine": "tell me the type of admission and number of days for which patient glen tanner stayed in hospital.", "sql": "SELECT DEMOGRAPHIC.\"ADMISSION_TYPE\",DEMOGRAPHIC.\"DAYS_STAY\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"NAME\" = \"Glen Tanner\"", "question_refine_tok": ["tell", "me", "the", "type", "of", "admission", "and", "number", "of", "days", "for", "which", "patient", "glen", "tanner", "stayed", "in", "hospital", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"ADMISSION_TYPE\",DEMOGRAPHIC.\"DAYS_STAY\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Glen", "Tanner\""]}
{"key": "93392d4f42172fe72a713de4056a2022", "format": {"table": [0], "cond": [[0, 2, 0, "Michael Witt"]], "agg_col": [[0, 10], [0, 20]], "sel": 0}, "question_refine": "tell me the time of admission and days for which patient michael witt was hospitalized.", "sql": "SELECT DEMOGRAPHIC.\"DAYS_STAY\",DEMOGRAPHIC.\"ADMITTIME\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"NAME\" = \"Michael Witt\"", "question_refine_tok": ["tell", "me", "the", "time", "of", "admission", "and", "days", "for", "which", "patient", "michael", "witt", "was", "hospitalized", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DAYS_STAY\",DEMOGRAPHIC.\"ADMITTIME\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Michael", "Witt\""]}
{"key": "a557a27486342d06e45decaab91aeed8", "format": {"table": [0], "cond": [[0, 2, 0, "Caren Obrien"]], "agg_col": [[0, 5], [0, 16]], "sel": 0}, "question_refine": "tell me the birth date and primary disease of patient caren obrien.", "sql": "SELECT DEMOGRAPHIC.\"DOB\",DEMOGRAPHIC.\"DIAGNOSIS\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"NAME\" = \"Caren Obrien\"", "question_refine_tok": ["tell", "me", "the", "birth", "date", "and", "primary", "disease", "of", "patient", "caren", "obrien", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DOB\",DEMOGRAPHIC.\"DIAGNOSIS\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Caren", "Obrien\""]}
{"key": "9cea5cf9416c2b932de255262ed701f1", "format": {"table": [0], "cond": [[0, 2, 0, "Caren Obrien"]], "agg_col": [[0, 5], [0, 17]], "sel": 0}, "question_refine": "let me know the birth date and death date of patient caren obrien.", "sql": "SELECT DEMOGRAPHIC.\"DOB\",DEMOGRAPHIC.\"DOD\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"NAME\" = \"Caren Obrien\"", "question_refine_tok": ["let", "me", "know", "the", "birth", "date", "and", "death", "date", "of", "patient", "caren", "obrien", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DOB\",DEMOGRAPHIC.\"DOD\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Caren", "Obrien\""]}
{"key": "0dfbdefe2efe9810a0ad327a0d448a71", "format": {"table": [0], "cond": [[0, 2, 0, "Steven Sepulveda"]], "agg_col": [[0, 10]], "sel": 0}, "question_refine": "for how many days did steven sepulveda stay in the hospital.", "sql": "SELECT DEMOGRAPHIC.\"DAYS_STAY\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"NAME\" = \"Steven Sepulveda\"", "question_refine_tok": ["for", "how", "many", "days", "did", "steven", "sepulveda", "stay", "in", "the", "hospital", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DAYS_STAY\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Steven", "Sepulveda\""]}
{"key": "a86dc1e19d6244f13305f53792c665ce", "format": {"table": [0], "cond": [[0, 2, 0, "James Sloan"]], "agg_col": [[0, 5], [0, 9]], "sel": 0}, "question_refine": "what is the date of birth and admission type of the patient name james sloan?", "sql": "SELECT DEMOGRAPHIC.\"DOB\",DEMOGRAPHIC.\"ADMISSION_TYPE\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"NAME\" = \"James Sloan\"", "question_refine_tok": ["what", "is", "the", "date", "of", "birth", "and", "admission", "type", "of", "the", "patient", "name", "james", "sloan", "?"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DOB\",DEMOGRAPHIC.\"ADMISSION_TYPE\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"James", "Sloan\""]}
{"key": "8bec95e32428f06d6b8734cae16910d0", "format": {"table": [0], "cond": [[0, 2, 0, "James Sloan"]], "agg_col": [[0, 11], [0, 16]], "sel": 0}, "question_refine": "tell me the insurance and primary disease of james sloan.", "sql": "SELECT DEMOGRAPHIC.\"INSURANCE\",DEMOGRAPHIC.\"DIAGNOSIS\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"NAME\" = \"James Sloan\"", "question_refine_tok": ["tell", "me", "the", "insurance", "and", "primary", "disease", "of", "james", "sloan", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"INSURANCE\",DEMOGRAPHIC.\"DIAGNOSIS\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"James", "Sloan\""]}
{"key": "0463b36bc02d774cc36b466eb3d32c4d", "format": {"table": [0], "cond": [[0, 2, 0, "Charley Pescatore"]], "agg_col": [[0, 9], [0, 10]], "sel": 0}, "question_refine": "for patient charley pescatore, specify the admission type and duration of stay in hospital", "sql": "SELECT DEMOGRAPHIC.\"ADMISSION_TYPE\",DEMOGRAPHIC.\"DAYS_STAY\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"NAME\" = \"Charley Pescatore\"", "question_refine_tok": ["for", "patient", "charley", "pescatore", ",", "specify", "the", "admission", "type", "and", "duration", "of", "stay", "in", "hospital"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"ADMISSION_TYPE\",DEMOGRAPHIC.\"DAYS_STAY\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Charley", "Pescatore\""]}
{"key": "9b6bb1dbb4f307b37a8895086eafcd38", "format": {"table": [0, 2], "cond": [[0, 2, 0, "Dominga Garvin"]], "agg_col": [[2, 4]], "sel": 0}, "question_refine": "give the procedure description of dominga garvin.", "sql": "SELECT PROCEDURES.\"LONG_TITLE\" FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"NAME\" = \"Dominga Garvin\"", "question_refine_tok": ["give", "the", "procedure", "description", "of", "dominga", "garvin", "."], "sql_tok": ["SELECT", "PROCEDURES.\"LONG_TITLE\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Dominga", "Garvin\""]}
{"key": "81e9f164c2850387ea449c4ba9ca050c", "format": {"table": [0, 1], "cond": [[0, 2, 0, "Miguel Hodges"]], "agg_col": [[0, 16], [1, 3]], "sel": 0}, "question_refine": "what is the primary disease and diagnosis for the patient name miguel hodges?", "sql": "SELECT DEMOGRAPHIC.\"DIAGNOSIS\",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", "primary", "disease", "and", "diagnosis", "for", "the", "patient", "name", "miguel", "hodges", "?"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DIAGNOSIS\",DIAGNOSES.\"SHORT_TITLE\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Miguel", "Hodges\""]}
{"key": "a52b3652548d36c5e3f3bafc284608e4", "format": {"table": [1], "cond": [[1, 2, 0, "78630"]], "agg_col": [[1, 3], [1, 4]], "sel": 0}, "question_refine": "give the title and description of diagnoses icd9 code 78630.", "sql": "SELECT DIAGNOSES.\"SHORT_TITLE\",DIAGNOSES.\"LONG_TITLE\" FROM DIAGNOSES WHERE DIAGNOSES.\"ICD9_CODE\" = \"78630\"", "question_refine_tok": ["give", "the", "title", "and", "description", "of", "diagnoses", "icd9", "code", "78630", "."], "sql_tok": ["SELECT", "DIAGNOSES.\"SHORT_TITLE\",DIAGNOSES.\"LONG_TITLE\"", "FROM", "DIAGNOSES", "WHERE", "DIAGNOSES.\"ICD9_CODE\"", "=", "\"78630\""]}
{"key": "8e472c2e5d903307b93d43dc9467159e", "format": {"table": [1], "cond": [[1, 2, 0, "E8786"]], "agg_col": [[1, 4]], "sel": 0}, "question_refine": "what is the diagnosis long title of diagnosis icd9 code e8786?", "sql": "SELECT DIAGNOSES.\"LONG_TITLE\" FROM DIAGNOSES WHERE DIAGNOSES.\"ICD9_CODE\" = \"E8786\"", "question_refine_tok": ["what", "is", "the", "diagnosis", "long", "title", "of", "diagnosis", "icd9", "code", "e8786", "?"], "sql_tok": ["SELECT", "DIAGNOSES.\"LONG_TITLE\"", "FROM", "DIAGNOSES", "WHERE", "DIAGNOSES.\"ICD9_CODE\"", "=", "\"E8786\""]}
{"key": "aa19597bca0018f872dd2eeb8774d993", "format": {"table": [1], "cond": [[1, 2, 0, "42823"]], "agg_col": [[1, 3], [1, 4]], "sel": 0}, "question_refine": "look for diagnosis short title and long title of icd9 code 42823.", "sql": "SELECT DIAGNOSES.\"SHORT_TITLE\",DIAGNOSES.\"LONG_TITLE\" FROM DIAGNOSES WHERE DIAGNOSES.\"ICD9_CODE\" = \"42823\"", "question_refine_tok": ["look", "for", "diagnosis", "short", "title", "and", "long", "title", "of", "icd9", "code", "42823", "."], "sql_tok": ["SELECT", "DIAGNOSES.\"SHORT_TITLE\",DIAGNOSES.\"LONG_TITLE\"", "FROM", "DIAGNOSES", "WHERE", "DIAGNOSES.\"ICD9_CODE\"", "=", "\"42823\""]}
{"key": "977bc9261b04291c69b98ea4056c1554", "format": {"table": [1], "cond": [[1, 2, 0, "42833"]], "agg_col": [[1, 4]], "sel": 0}, "question_refine": "provide me the long title of diagnoses for diagnoses icd9 code 42833.", "sql": "SELECT DIAGNOSES.\"LONG_TITLE\" FROM DIAGNOSES WHERE DIAGNOSES.\"ICD9_CODE\" = \"42833\"", "question_refine_tok": ["provide", "me", "the", "long", "title", "of", "diagnoses", "for", "diagnoses", "icd9", "code", "42833", "."], "sql_tok": ["SELECT", "DIAGNOSES.\"LONG_TITLE\"", "FROM", "DIAGNOSES", "WHERE", "DIAGNOSES.\"ICD9_CODE\"", "=", "\"42833\""]}
{"key": "bb111642a21315b380f245d80996b88a", "format": {"table": [1], "cond": [[1, 2, 0, "7756"]], "agg_col": [[1, 4]], "sel": 0}, "question_refine": "what is the long title of diagnosis of icd9 code 7756?", "sql": "SELECT DIAGNOSES.\"LONG_TITLE\" FROM DIAGNOSES WHERE DIAGNOSES.\"ICD9_CODE\" = \"7756\"", "question_refine_tok": ["what", "is", "the", "long", "title", "of", "diagnosis", "of", "icd9", "code", "7756", "?"], "sql_tok": ["SELECT", "DIAGNOSES.\"LONG_TITLE\"", "FROM", "DIAGNOSES", "WHERE", "DIAGNOSES.\"ICD9_CODE\"", "=", "\"7756\""]}
{"key": "8f3d8dae93b4add45472e2ef34e06826", "format": {"table": [2], "cond": [[2, 2, 0, 9744]], "agg_col": [[2, 3]], "sel": 0}, "question_refine": "tell me the short title of procedure for procedure icd9 code 9744.", "sql": "SELECT PROCEDURES.\"SHORT_TITLE\" FROM PROCEDURES WHERE PROCEDURES.\"ICD9_CODE\" = \"9744\"", "question_refine_tok": ["tell", "me", "the", "short", "title", "of", "procedure", "for", "procedure", "icd9", "code", "9744", "."], "sql_tok": ["SELECT", "PROCEDURES.\"SHORT_TITLE\"", "FROM", "PROCEDURES", "WHERE", "PROCEDURES.\"ICD9_CODE\"", "=", "\"9744\""]}
{"key": "019e78abb55f24f850aee87e473bc363", "format": {"table": [2], "cond": [[2, 2, 0, 3726]], "agg_col": [[2, 4]], "sel": 0}, "question_refine": "what is the procedure long title of procedure icd9 code 3726?", "sql": "SELECT PROCEDURES.\"LONG_TITLE\" FROM PROCEDURES WHERE PROCEDURES.\"ICD9_CODE\" = \"3726\"", "question_refine_tok": ["what", "is", "the", "procedure", "long", "title", "of", "procedure", "icd9", "code", "3726", "?"], "sql_tok": ["SELECT", "PROCEDURES.\"LONG_TITLE\"", "FROM", "PROCEDURES", "WHERE", "PROCEDURES.\"ICD9_CODE\"", "=", "\"3726\""]}
{"key": "a5b799b623ab816af8a3d7263bd882cb", "format": {"table": [2], "cond": [[2, 2, 0, 5361]], "agg_col": [[2, 3], [2, 4]], "sel": 0}, "question_refine": "get me the long title and short title of procedure for procedure icd9 code 5361.", "sql": "SELECT PROCEDURES.\"SHORT_TITLE\",PROCEDURES.\"LONG_TITLE\" FROM PROCEDURES WHERE PROCEDURES.\"ICD9_CODE\" = \"5361\"", "question_refine_tok": ["get", "me", "the", "long", "title", "and", "short", "title", "of", "procedure", "for", "procedure", "icd9", "code", "5361", "."], "sql_tok": ["SELECT", "PROCEDURES.\"SHORT_TITLE\",PROCEDURES.\"LONG_TITLE\"", "FROM", "PROCEDURES", "WHERE", "PROCEDURES.\"ICD9_CODE\"", "=", "\"5361\""]}
{"key": "895ca1f9dc05114c51436d4c28f1dbaa", "format": {"table": [2], "cond": [[2, 2, 0, 4591]], "agg_col": [[2, 3], [2, 4]], "sel": 0}, "question_refine": "specify complete details of icd9 code 4591", "sql": "SELECT PROCEDURES.\"SHORT_TITLE\",PROCEDURES.\"LONG_TITLE\" FROM PROCEDURES WHERE PROCEDURES.\"ICD9_CODE\" = \"4591\"", "question_refine_tok": ["specify", "complete", "details", "of", "icd9", "code", "4591"], "sql_tok": ["SELECT", "PROCEDURES.\"SHORT_TITLE\",PROCEDURES.\"LONG_TITLE\"", "FROM", "PROCEDURES", "WHERE", "PROCEDURES.\"ICD9_CODE\"", "=", "\"4591\""]}
{"key": "ba004a3e4242e9bae1c49388678321ec", "format": {"table": [3], "cond": [[3, 4, 0, "Nitroglycerin SL"]], "agg_col": [[3, 5]], "sel": 0}, "question_refine": "provide me the drug code for nitroglycerin sl.", "sql": "SELECT PRESCRIPTIONS.\"FORMULARY_DRUG_CD\" FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.\"DRUG\" = \"Nitroglycerin SL\"", "question_refine_tok": ["provide", "me", "the", "drug", "code", "for", "nitroglycerin", "sl", "."], "sql_tok": ["SELECT", "PRESCRIPTIONS.\"FORMULARY_DRUG_CD\"", "FROM", "PRESCRIPTIONS", "WHERE", "PRESCRIPTIONS.\"DRUG\"", "=", "\"Nitroglycerin", "SL\""]}
{"key": "074e704855d20a2abc5a310eb1ebec93", "format": {"table": [3], "cond": [[3, 4, 0, "Posaconazole Suspension"]], "agg_col": [[3, 6]], "sel": 0}, "question_refine": "posaconazole suspension is administered via which route?", "sql": "SELECT PRESCRIPTIONS.\"ROUTE\" FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.\"DRUG\" = \"Posaconazole Suspension\"", "question_refine_tok": ["posaconazole", "suspension", "is", "administered", "via", "which", "route", "?"], "sql_tok": ["SELECT", "PRESCRIPTIONS.\"ROUTE\"", "FROM", "PRESCRIPTIONS", "WHERE", "PRESCRIPTIONS.\"DRUG\"", "=", "\"Posaconazole", "Suspension\""]}
{"key": "8251effd621925f9a6e2018b080f31a2", "format": {"table": [3], "cond": [[3, 4, 0, "Vial"]], "agg_col": [[3, 3], [3, 5]], "sel": 0}, "question_refine": "find out the drug code and type of vial drug.", "sql": "SELECT PRESCRIPTIONS.\"DRUG_TYPE\",PRESCRIPTIONS.\"FORMULARY_DRUG_CD\" FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.\"DRUG\" = \"Vial\"", "question_refine_tok": ["find", "out", "the", "drug", "code", "and", "type", "of", "vial", "drug", "."], "sql_tok": ["SELECT", "PRESCRIPTIONS.\"DRUG_TYPE\",PRESCRIPTIONS.\"FORMULARY_DRUG_CD\"", "FROM", "PRESCRIPTIONS", "WHERE", "PRESCRIPTIONS.\"DRUG\"", "=", "\"Vial\""]}
{"key": "030c5a0cf294a2d2eef8857caf3a05ad", "format": {"table": [3], "cond": [[3, 4, 0, "Oxazepam"]], "agg_col": [[3, 5]], "sel": 0}, "question_refine": "get me the drug code of oxazepam drug.", "sql": "SELECT PRESCRIPTIONS.\"FORMULARY_DRUG_CD\" FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.\"DRUG\" = \"Oxazepam\"", "question_refine_tok": ["get", "me", "the", "drug", "code", "of", "oxazepam", "drug", "."], "sql_tok": ["SELECT", "PRESCRIPTIONS.\"FORMULARY_DRUG_CD\"", "FROM", "PRESCRIPTIONS", "WHERE", "PRESCRIPTIONS.\"DRUG\"", "=", "\"Oxazepam\""]}
{"key": "106626c091163300a6b170e953ed257a", "format": {"table": [3], "cond": [[3, 4, 0, "Caphosol"]], "agg_col": [[3, 5]], "sel": 0}, "question_refine": "find the drug code for caphosol drug.", "sql": "SELECT PRESCRIPTIONS.\"FORMULARY_DRUG_CD\" FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.\"DRUG\" = \"Caphosol\"", "question_refine_tok": ["find", "the", "drug", "code", "for", "caphosol", "drug", "."], "sql_tok": ["SELECT", "PRESCRIPTIONS.\"FORMULARY_DRUG_CD\"", "FROM", "PRESCRIPTIONS", "WHERE", "PRESCRIPTIONS.\"DRUG\"", "=", "\"Caphosol\""]}
{"key": "971904b128e63d08737fafac8e370573", "format": {"table": [3], "cond": [[3, 4, 0, "Calcium Acetate"]], "agg_col": [[3, 3], [3, 6]], "sel": 0}, "question_refine": "specify the drug type of calcium acetate along-with route of administration", "sql": "SELECT PRESCRIPTIONS.\"DRUG_TYPE\",PRESCRIPTIONS.\"ROUTE\" FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.\"DRUG\" = \"Calcium Acetate\"", "question_refine_tok": ["specify", "the", "drug", "type", "of", "calcium", "acetate", "along", "-", "with", "route", "of", "administration"], "sql_tok": ["SELECT", "PRESCRIPTIONS.\"DRUG_TYPE\",PRESCRIPTIONS.\"ROUTE\"", "FROM", "PRESCRIPTIONS", "WHERE", "PRESCRIPTIONS.\"DRUG\"", "=", "\"Calcium", "Acetate\""]}
{"key": "9def53e41cfa8377020155513a28ab2c", "format": {"table": [3], "cond": [[3, 4, 0, "Nephrocaps"]], "agg_col": [[3, 6]], "sel": 0}, "question_refine": "how is nephrocaps administered?", "sql": "SELECT PRESCRIPTIONS.\"ROUTE\" FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.\"DRUG\" = \"Nephrocaps\"", "question_refine_tok": ["how", "is", "nephrocaps", "administered", "?"], "sql_tok": ["SELECT", "PRESCRIPTIONS.\"ROUTE\"", "FROM", "PRESCRIPTIONS", "WHERE", "PRESCRIPTIONS.\"DRUG\"", "=", "\"Nephrocaps\""]}
{"key": "a849e3b0fa3d130cb8ca5b98be0abed6", "format": {"table": [3], "cond": [[3, 4, 0, "Gentamicin Sulfate"]], "agg_col": [[3, 5]], "sel": 0}, "question_refine": "give the drug code of the drug gentamicin sulfate.", "sql": "SELECT PRESCRIPTIONS.\"FORMULARY_DRUG_CD\" FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.\"DRUG\" = \"Gentamicin Sulfate\"", "question_refine_tok": ["give", "the", "drug", "code", "of", "the", "drug", "gentamicin", "sulfate", "."], "sql_tok": ["SELECT", "PRESCRIPTIONS.\"FORMULARY_DRUG_CD\"", "FROM", "PRESCRIPTIONS", "WHERE", "PRESCRIPTIONS.\"DRUG\"", "=", "\"Gentamicin", "Sulfate\""]}
{"key": "0f578e70a67d77b59d073a0d6ddf2f52", "format": {"table": [3], "cond": [[3, 4, 0, "Rituximab"]], "agg_col": [[3, 5], [3, 6]], "sel": 0}, "question_refine": "tell me the route of administration and code of drug rituximab.", "sql": "SELECT PRESCRIPTIONS.\"FORMULARY_DRUG_CD\",PRESCRIPTIONS.\"ROUTE\" FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.\"DRUG\" = \"Rituximab\"", "question_refine_tok": ["tell", "me", "the", "route", "of", "administration", "and", "code", "of", "drug", "rituximab", "."], "sql_tok": ["SELECT", "PRESCRIPTIONS.\"FORMULARY_DRUG_CD\",PRESCRIPTIONS.\"ROUTE\"", "FROM", "PRESCRIPTIONS", "WHERE", "PRESCRIPTIONS.\"DRUG\"", "=", "\"Rituximab\""]}
{"key": "952343ad7bc01827ae39783f6285e3d6", "format": {"table": [3], "cond": [[3, 4, 0, "Midazolam HCl"]], "agg_col": [[3, 5]], "sel": 0}, "question_refine": "let me know the drug code of midazolam hcl medication.", "sql": "SELECT PRESCRIPTIONS.\"FORMULARY_DRUG_CD\" FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.\"DRUG\" = \"Midazolam HCl\"", "question_refine_tok": ["let", "me", "know", "the", "drug", "code", "of", "midazolam", "hcl", "medication", "."], "sql_tok": ["SELECT", "PRESCRIPTIONS.\"FORMULARY_DRUG_CD\"", "FROM", "PRESCRIPTIONS", "WHERE", "PRESCRIPTIONS.\"DRUG\"", "=", "\"Midazolam", "HCl\""]}
{"key": "9b7f5c51ee9fdcfbba316fb48e8e6722", "format": {"table": [3], "cond": [[3, 4, 0, "Succinylcholine"]], "agg_col": [[3, 5], [3, 6]], "sel": 0}, "question_refine": "what is the drug route and drug code of the drug succinylcoline?", "sql": "SELECT PRESCRIPTIONS.\"FORMULARY_DRUG_CD\",PRESCRIPTIONS.\"ROUTE\" FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.\"DRUG\" = \"Succinylcholine\"", "question_refine_tok": ["what", "is", "the", "drug", "route", "and", "drug", "code", "of", "the", "drug", "succinylcoline", "?"], "sql_tok": ["SELECT", "PRESCRIPTIONS.\"FORMULARY_DRUG_CD\",PRESCRIPTIONS.\"ROUTE\"", "FROM", "PRESCRIPTIONS", "WHERE", "PRESCRIPTIONS.\"DRUG\"", "=", "\"Succinylcholine\""]}
{"key": "92b1c7ad9fe0af5c4ec35a3b48791815", "format": {"table": [3], "cond": [[3, 4, 0, "Acetaminophen IV"]], "agg_col": [[3, 5], [3, 7]], "sel": 0}, "question_refine": "what is the drug code and drug dose of the drug acetaminophen iv?", "sql": "SELECT PRESCRIPTIONS.\"FORMULARY_DRUG_CD\",PRESCRIPTIONS.\"DRUG_DOSE\" FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.\"DRUG\" = \"Acetaminophen IV\"", "question_refine_tok": ["what", "is", "the", "drug", "code", "and", "drug", "dose", "of", "the", "drug", "acetaminophen", "iv", "?"], "sql_tok": ["SELECT", "PRESCRIPTIONS.\"FORMULARY_DRUG_CD\",PRESCRIPTIONS.\"DRUG_DOSE\"", "FROM", "PRESCRIPTIONS", "WHERE", "PRESCRIPTIONS.\"DRUG\"", "=", "\"Acetaminophen", "IV\""]}
{"key": "a61ac4f658e87123f6f32e8d02272ab4", "format": {"table": [3], "cond": [[3, 4, 0, "Topiramate (Topamax)"]], "agg_col": [[3, 5]], "sel": 0}, "question_refine": "specify the code of drug topiramate (topamax)", "sql": "SELECT PRESCRIPTIONS.\"FORMULARY_DRUG_CD\" FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.\"DRUG\" = \"Topiramate (Topamax)\"", "question_refine_tok": ["specify", "the", "code", "of", "drug", "topiramate", "(", "topamax", ")"], "sql_tok": ["SELECT", "PRESCRIPTIONS.\"FORMULARY_DRUG_CD\"", "FROM", "PRESCRIPTIONS", "WHERE", "PRESCRIPTIONS.\"DRUG\"", "=", "\"Topiramate", "(Topamax)\""]}
{"key": "85f8ab8ab78984d2f52458c474eaf19f", "format": {"table": [3], "cond": [[3, 4, 0, "Lactated Ringers"]], "agg_col": [[3, 3], [3, 5]], "sel": 0}, "question_refine": "specify the drug type and code for lactated ringers", "sql": "SELECT PRESCRIPTIONS.\"DRUG_TYPE\",PRESCRIPTIONS.\"FORMULARY_DRUG_CD\" FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.\"DRUG\" = \"Lactated Ringers\"", "question_refine_tok": ["specify", "the", "drug", "type", "and", "code", "for", "lactated", "ringers"], "sql_tok": ["SELECT", "PRESCRIPTIONS.\"DRUG_TYPE\",PRESCRIPTIONS.\"FORMULARY_DRUG_CD\"", "FROM", "PRESCRIPTIONS", "WHERE", "PRESCRIPTIONS.\"DRUG\"", "=", "\"Lactated", "Ringers\""]}
{"key": "8e72236c9b6a09cbcea0029a69a799d3", "format": {"table": [3], "cond": [[3, 4, 0, "Ascorbic Acid"]], "agg_col": [[3, 6]], "sel": 0}, "question_refine": "what is the drug route of the drug name ascorbic acid?", "sql": "SELECT PRESCRIPTIONS.\"ROUTE\" FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.\"DRUG\" = \"Ascorbic Acid\"", "question_refine_tok": ["what", "is", "the", "drug", "route", "of", "the", "drug", "name", "ascorbic", "acid", "?"], "sql_tok": ["SELECT", "PRESCRIPTIONS.\"ROUTE\"", "FROM", "PRESCRIPTIONS", "WHERE", "PRESCRIPTIONS.\"DRUG\"", "=", "\"Ascorbic", "Acid\""]}
{"key": "855cf4c4ba2b077fb516522ce28ed18b", "format": {"table": [3], "cond": [[3, 4, 0, "Lidocaine Jelly 2% (Urojet)"]], "agg_col": [[3, 5], [3, 6]], "sel": 0}, "question_refine": "let me know the drug code and route of administration of lidocaine jelly 2% (urojet).", "sql": "SELECT PRESCRIPTIONS.\"FORMULARY_DRUG_CD\",PRESCRIPTIONS.\"ROUTE\" FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.\"DRUG\" = \"Lidocaine Jelly 2% (Urojet)\"", "question_refine_tok": ["let", "me", "know", "the", "drug", "code", "and", "route", "of", "administration", "of", "lidocaine", "jelly", "2", "%", "(", "urojet", ")", "."], "sql_tok": ["SELECT", "PRESCRIPTIONS.\"FORMULARY_DRUG_CD\",PRESCRIPTIONS.\"ROUTE\"", "FROM", "PRESCRIPTIONS", "WHERE", "PRESCRIPTIONS.\"DRUG\"", "=", "\"Lidocaine", "Jelly", "2%", "(Urojet)\""]}
{"key": "0b16196f4e751d63a9b5173e01b93d36", "format": {"table": [3], "cond": [[3, 4, 0, "Mult"]], "agg_col": [[3, 5], [3, 6]], "sel": 0}, "question_refine": "tell me the drug code and route of administration of mult drug.", "sql": "SELECT PRESCRIPTIONS.\"FORMULARY_DRUG_CD\",PRESCRIPTIONS.\"ROUTE\" FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.\"DRUG\" = \"Mult\"", "question_refine_tok": ["tell", "me", "the", "drug", "code", "and", "route", "of", "administration", "of", "mult", "drug", "."], "sql_tok": ["SELECT", "PRESCRIPTIONS.\"FORMULARY_DRUG_CD\",PRESCRIPTIONS.\"ROUTE\"", "FROM", "PRESCRIPTIONS", "WHERE", "PRESCRIPTIONS.\"DRUG\"", "=", "\"Mult\""]}
{"key": "8e58c53ed2c7d9da3e3d7bb4d73cfdbe", "format": {"table": [3], "cond": [[3, 5, 0, "MOR10L"]], "agg_col": [[3, 3], [3, 6]], "sel": 0}, "question_refine": "find out mor10l medications type and route of administration.", "sql": "SELECT PRESCRIPTIONS.\"DRUG_TYPE\",PRESCRIPTIONS.\"ROUTE\" FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.\"FORMULARY_DRUG_CD\" = \"MOR10L\"", "question_refine_tok": ["find", "out", "mor10l", "medications", "type", "and", "route", "of", "administration", "."], "sql_tok": ["SELECT", "PRESCRIPTIONS.\"DRUG_TYPE\",PRESCRIPTIONS.\"ROUTE\"", "FROM", "PRESCRIPTIONS", "WHERE", "PRESCRIPTIONS.\"FORMULARY_DRUG_CD\"", "=", "\"MOR10L\""]}
{"key": "0f9526ebc28311b2cb77b73a7d165756", "format": {"table": [3], "cond": [[3, 5, 0, "GELCLAIR"]], "agg_col": [[3, 6]], "sel": 0}, "question_refine": "find the route of administration for medication with gelclair drug code.", "sql": "SELECT PRESCRIPTIONS.\"ROUTE\" FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.\"FORMULARY_DRUG_CD\" = \"GELCLAIR\"", "question_refine_tok": ["find", "the", "route", "of", "administration", "for", "medication", "with", "gelclair", "drug", "code", "."], "sql_tok": ["SELECT", "PRESCRIPTIONS.\"ROUTE\"", "FROM", "PRESCRIPTIONS", "WHERE", "PRESCRIPTIONS.\"FORMULARY_DRUG_CD\"", "=", "\"GELCLAIR\""]}
{"key": "b9dd5d4f1f391878283e984c90e29065", "format": {"table": [3], "cond": [[3, 5, 0, "NALO4I"]], "agg_col": [[3, 3]], "sel": 0}, "question_refine": "specify the type of drug code nalo4i", "sql": "SELECT PRESCRIPTIONS.\"DRUG_TYPE\" FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.\"FORMULARY_DRUG_CD\" = \"NALO4I\"", "question_refine_tok": ["specify", "the", "type", "of", "drug", "code", "nalo4i"], "sql_tok": ["SELECT", "PRESCRIPTIONS.\"DRUG_TYPE\"", "FROM", "PRESCRIPTIONS", "WHERE", "PRESCRIPTIONS.\"FORMULARY_DRUG_CD\"", "=", "\"NALO4I\""]}
{"key": "87728d8251e916027eaacb64dac36ccb", "format": {"table": [0], "cond": [[0, 6, 0, "M"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "calculate the number of male patients.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"GENDER\" = \"M\"", "question_refine_tok": ["calculate", "the", "number", "of", "male", "patients", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"GENDER\"", "=", "\"M\""]}
{"key": "024563b12e10d2bfbba3b9049fdb34cd", "format": {"table": [0], "cond": [[0, 8, 0, "GREEK ORTHODOX"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients belong to greek orthodox religion?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"RELIGION\" = \"GREEK ORTHODOX\"", "question_refine_tok": ["how", "many", "patients", "belong", "to", "greek", "orthodox", "religion", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"RELIGION\"", "=", "\"GREEK", "ORTHODOX\""]}
{"key": "054cab8f7975c46d400a46a17beb5a13", "format": {"table": [0], "cond": [[0, 9, 0, "EMERGENCY"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "which patients had emergency hospital admission?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ADMISSION_TYPE\" = \"EMERGENCY\"", "question_refine_tok": ["which", "patients", "had", "emergency", "hospital", "admission", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ADMISSION_TYPE\"", "=", "\"EMERGENCY\""]}
{"key": "8383881fa94d0f2f2f6fb0926ad61d32", "format": {"table": [0], "cond": [[0, 11, 0, "Private"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients are with private insurance?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"INSURANCE\" = \"Private\"", "question_refine_tok": ["how", "many", "patients", "are", "with", "private", "insurance", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"INSURANCE\"", "=", "\"Private\""]}
{"key": "a93baacae2d538d21878b556201cec87", "format": {"table": [0], "cond": [[0, 12, 0, "BLACK/CAPE VERDEAN"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many of the total number of patients are from black/cape verdean ethnic origin?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ETHNICITY\" = \"BLACK/CAPE VERDEAN\"", "question_refine_tok": ["how", "many", "of", "the", "total", "number", "of", "patients", "are", "from", "black", "/", "cape", "verdean", "ethnic", "origin", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ETHNICITY\"", "=", "\"BLACK/CAPE", "VERDEAN\""]}
{"key": "03ed80dd509832cdb2d2e7d7fd0e39f1", "format": {"table": [0], "cond": [[0, 12, 0, "ASIAN"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "calculate the total number of asian patients. ", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ETHNICITY\" = \"ASIAN\"", "question_refine_tok": ["calculate", "the", "total", "number", "of", "asian", "patients", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ETHNICITY\"", "=", "\"ASIAN\""]}
{"key": "06e0f15a5f27b3648bf3f5ebf230eb3d", "format": {"table": [0], "cond": [[0, 13, 0, 0]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of patients who are still alive?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"EXPIRE_FLAG\" = \"0\"", "question_refine_tok": ["what", "is", "the", "number", "of", "patients", "who", "are", "still", "alive", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"EXPIRE_FLAG\"", "=", "\"0\""]}
{"key": "9c3b0945adc7bb0056a72123f8627678", "format": {"table": [0], "cond": [[0, 14, 0, "CLINIC REFERRAL/PREMATURE"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients were admitted on clinic referral/premature?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ADMISSION_LOCATION\" = \"CLINIC REFERRAL/PREMATURE\"", "question_refine_tok": ["how", "many", "patients", "were", "admitted", "on", "clinic", "referral", "/", "premature", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ADMISSION_LOCATION\"", "=", "\"CLINIC", "REFERRAL/PREMATURE\""]}
{"key": "00904139a2ed10eebae557a135321017", "format": {"table": [0], "cond": [[0, 14, 0, "TRSF WITHIN THIS FACILITY"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients were transferred within this facilty?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ADMISSION_LOCATION\" = \"TRSF WITHIN THIS FACILITY\"", "question_refine_tok": ["how", "many", "patients", "were", "transferred", "within", "this", "facilty", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ADMISSION_LOCATION\"", "=", "\"TRSF", "WITHIN", "THIS", "FACILITY\""]}
{"key": "02df0bf53f302df39ca66c8e45f609c3", "format": {"table": [0], "cond": [[0, 15, 0, "HOME"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of patients who were discharged at home.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DISCHARGE_LOCATION\" = \"HOME\"", "question_refine_tok": ["count", "the", "number", "of", "patients", "who", "were", "discharged", "at", "home", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DISCHARGE_LOCATION\"", "=", "\"HOME\""]}
{"key": "825152ca77b3c046ea92f81d47a817eb", "format": {"table": [0], "cond": [[0, 15, 0, "DEAD/EXPIRED"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of patients whose discharge location is dead/expired.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DISCHARGE_LOCATION\" = \"DEAD/EXPIRED\"", "question_refine_tok": ["count", "the", "number", "of", "patients", "whose", "discharge", "location", "is", "dead", "/", "expired", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DISCHARGE_LOCATION\"", "=", "\"DEAD/EXPIRED\""]}
{"key": "9c0511b4b79fb45a8f646934b25ee1f1", "format": {"table": [0], "cond": [[0, 15, 0, "LEFT AGAINST MEDICAL ADVI"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of patients who left the hospital against medical advice.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DISCHARGE_LOCATION\" = \"LEFT AGAINST MEDICAL ADVI\"", "question_refine_tok": ["count", "the", "number", "of", "patients", "who", "left", "the", "hospital", "against", "medical", "advice", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DISCHARGE_LOCATION\"", "=", "\"LEFT", "AGAINST", "MEDICAL", "ADVI\""]}
{"key": "04e257060d814171a01a4a75a258d385", "format": {"table": [0], "cond": [[0, 16, 0, "T5 FRACTURE"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients are primarily suffering from t5 fracture?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"T5 FRACTURE\"", "question_refine_tok": ["how", "many", "patients", "are", "primarily", "suffering", "from", "t5", "fracture", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"T5", "FRACTURE\""]}
{"key": "0de053e6336b792bbab0dbed98a160b9", "format": {"table": [0], "cond": [[0, 16, 0, "RUQ PAIN"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of patients suffering from right upper quadrant pain primary disease?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"RUQ PAIN\"", "question_refine_tok": ["what", "is", "the", "number", "of", "patients", "suffering", "from", "right", "upper", "quadrant", "pain", "primary", "disease", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"RUQ", "PAIN\""]}
{"key": "8e5b3b23c0faa725dddd16452c1d83cd", "format": {"table": [0], "cond": [[0, 16, 0, "NEWBORN"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "find out the number of patients with newborn primary disease.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"NEWBORN\"", "question_refine_tok": ["find", "out", "the", "number", "of", "patients", "with", "newborn", "primary", "disease", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"NEWBORN\""]}
{"key": "9ead4702111aae4baa6cdeb38d1d16c9", "format": {"table": [0], "cond": [[0, 16, 0, "PNEUMONIA"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "which patients are suffering from pneumonia primary disease?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"PNEUMONIA\"", "question_refine_tok": ["which", "patients", "are", "suffering", "from", "pneumonia", "primary", "disease", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"PNEUMONIA\""]}
{"key": "03ad1ed58197cc476c639d7af7c662a3", "format": {"table": [0], "cond": [[0, 16, 0, "TRANSIENT ISCHEMIC ATTACK"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "calculate the total number of patients who had transient ischemic attack as primary disease.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"TRANSIENT ISCHEMIC ATTACK\"", "question_refine_tok": ["calculate", "the", "total", "number", "of", "patients", "who", "had", "transient", "ischemic", "attack", "as", "primary", "disease", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"TRANSIENT", "ISCHEMIC", "ATTACK\""]}
{"key": "94e979800c12fea24b8722c512dd7405", "format": {"table": [0], "cond": [[0, 16, 0, "BLADDER CANCER/SDA"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients are diagnosed with primary disease bladder cancer/sda?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"BLADDER CANCER/SDA\"", "question_refine_tok": ["how", "many", "patients", "are", "diagnosed", "with", "primary", "disease", "bladder", "cancer", "/", "sda", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"BLADDER", "CANCER/SDA\""]}
{"key": "9af2ac2fa84ad307ea5249d5fb48b41b", "format": {"table": [0], "cond": [[0, 16, 0, "BOWEL OBSTRUCTION"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "provide the number of patients who are diagnosed with bowel obstruction.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"BOWEL OBSTRUCTION\"", "question_refine_tok": ["provide", "the", "number", "of", "patients", "who", "are", "diagnosed", "with", "bowel", "obstruction", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"BOWEL", "OBSTRUCTION\""]}
{"key": "84f60321f795ad3a40988a8e42b9ff0c", "format": {"table": [0], "cond": [[0, 16, 0, "GANGRENE"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients are with primary disease gangrene?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"GANGRENE\"", "question_refine_tok": ["how", "many", "patients", "are", "with", "primary", "disease", "gangrene", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"GANGRENE\""]}
{"key": "004cf3d0d60da7389659caadbfb4a825", "format": {"table": [0], "cond": [[0, 16, 0, "PITUITARY BLEED"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients had pituitary bleed?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"PITUITARY BLEED\"", "question_refine_tok": ["how", "many", "patients", "had", "pituitary", "bleed", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"PITUITARY", "BLEED\""]}
{"key": "9268ab37a2d7fdb001795bef1e30dbe2", "format": {"table": [0], "cond": [[0, 16, 0, "CORONARY ARTERY DISEASE"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "tell me the number of patients with coronary artery primary disease.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"CORONARY ARTERY DISEASE\"", "question_refine_tok": ["tell", "me", "the", "number", "of", "patients", "with", "coronary", "artery", "primary", "disease", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"CORONARY", "ARTERY", "DISEASE\""]}
{"key": "0cb83c2bc10e573ed3e25a658d8318e4", "format": {"table": [0], "cond": [[0, 16, 0, "HYPERGLYCEMIA"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what number of patients have been diagnosed with hyperglycemia?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"HYPERGLYCEMIA\"", "question_refine_tok": ["what", "number", "of", "patients", "have", "been", "diagnosed", "with", "hyperglycemia", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"HYPERGLYCEMIA\""]}
{"key": "971fc7bf3f897252845c4ebd01de0302", "format": {"table": [0], "cond": [[0, 4, 2, 64]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients are below 64 years of age?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"AGE\" < \"64\"", "question_refine_tok": ["how", "many", "patients", "are", "below", "64", "years", "of", "age", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"AGE\"", "<", "\"64\""]}
{"key": "82de3dcebd85dfb2141910f538b7fe07", "format": {"table": [0], "cond": [[0, 4, 2, 27]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "tally the number of patients under the age of 27.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"AGE\" < \"27\"", "question_refine_tok": ["tally", "the", "number", "of", "patients", "under", "the", "age", "of", "27", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"AGE\"", "<", "\"27\""]}
{"key": "0ebb2c6d344b9709c6c88b5ea686c13e", "format": {"table": [0], "cond": [[0, 18, 2, 2182]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of patients who were born before 2182?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DOB_YEAR\" < \"2182\"", "question_refine_tok": ["what", "is", "the", "number", "of", "patients", "who", "were", "born", "before", "2182", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DOB_YEAR\"", "<", "\"2182\""]}
{"key": "0c553b22210b5ad96a9a01680ef22091", "format": {"table": [0], "cond": [[0, 19, 4, 2180.0]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "give the number of patients who passed away in or before the year 2180.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DOD_YEAR\" <= \"2180.0\"", "question_refine_tok": ["give", "the", "number", "of", "patients", "who", "passed", "away", "in", "or", "before", "the", "year", "2180", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DOD_YEAR\"", "<=", "\"2180.0\""]}
{"key": "8232941afbee51d5e20e7dcf879ee83f", "format": {"table": [0], "cond": [[0, 19, 4, 2132.0]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "tell me the number of patients who were born in or before 2132.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DOD_YEAR\" <= \"2132.0\"", "question_refine_tok": ["tell", "me", "the", "number", "of", "patients", "who", "were", "born", "in", "or", "before", "2132", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DOD_YEAR\"", "<=", "\"2132.0\""]}
{"key": "bb19be85af3e917061a124154ac4818b", "format": {"table": [0], "cond": [[0, 19, 4, 2111.0]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the total number of patients who died in the year less than or equal to 2111?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DOD_YEAR\" <= \"2111.0\"", "question_refine_tok": ["what", "is", "the", "total", "number", "of", "patients", "who", "died", "in", "the", "year", "less", "than", "or", "equal", "to", "2111", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DOD_YEAR\"", "<=", "\"2111.0\""]}
{"key": "0d326c2914714602a81cd8d61f8e9ac6", "format": {"table": [0, 1], "cond": [[1, 2, 0, "V4364"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of patients who have v4364 diagnoses icd9 code?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DIAGNOSES.\"ICD9_CODE\" = \"V4364\"", "question_refine_tok": ["what", "is", "the", "number", "of", "patients", "who", "have", "v4364", "diagnoses", "icd9", "code", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DIAGNOSES.\"ICD9_CODE\"", "=", "\"V4364\""]}
{"key": "101713b242bbc2a546b1dcc3dea29920", "format": {"table": [0, 1], "cond": [[1, 2, 0, "2875"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of patients who have diagnoses icd9 code 2875?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DIAGNOSES.\"ICD9_CODE\" = \"2875\"", "question_refine_tok": ["what", "is", "the", "number", "of", "patients", "who", "have", "diagnoses", "icd9", "code", "2875", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DIAGNOSES.\"ICD9_CODE\"", "=", "\"2875\""]}
{"key": "9c185af46be35cab5c7f0bc760c202b5", "format": {"table": [0, 1], "cond": [[1, 3, 0, "Pseudomonas infect NOS"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients have been diagnosed with unspecified pseudomonas infection?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DIAGNOSES.\"SHORT_TITLE\" = \"Pseudomonas infect NOS\"", "question_refine_tok": ["how", "many", "patients", "have", "been", "diagnosed", "with", "unspecified", "pseudomonas", "infection", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"Pseudomonas", "infect", "NOS\""]}
{"key": "93b1013135b3f8b94446490eb23a4ccc", "format": {"table": [0, 1], "cond": [[1, 3, 0, "Subarachnoid hemorrhage"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "provide the number of patients whose diagnosis short title is subarachnoid hemorrhage.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DIAGNOSES.\"SHORT_TITLE\" = \"Subarachnoid hemorrhage\"", "question_refine_tok": ["provide", "the", "number", "of", "patients", "whose", "diagnosis", "short", "title", "is", "subarachnoid", "hemorrhage", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"Subarachnoid", "hemorrhage\""]}
{"key": "9e33f7987cb3bdf5b47e8b870d28d06e", "format": {"table": [0, 1], "cond": [[1, 3, 0, "Urinary incontinence NOS"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients were diagnosed with urinary incontinence nos?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DIAGNOSES.\"SHORT_TITLE\" = \"Urinary incontinence NOS\"", "question_refine_tok": ["how", "many", "patients", "were", "diagnosed", "with", "urinary", "incontinence", "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\"", "=", "\"Urinary", "incontinence", "NOS\""]}
{"key": "ab3f3d61bd231c11a4f22dce7af58d02", "format": {"table": [0, 1], "cond": [[1, 3, 0, "Crbl art ocl NOS w infrc"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "tell me the number of patients who were diagnosed with unspecified cerebral artery occlusion with cerebral infarction.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DIAGNOSES.\"SHORT_TITLE\" = \"Crbl art ocl NOS w infrc\"", "question_refine_tok": ["tell", "me", "the", "number", "of", "patients", "who", "were", "diagnosed", "with", "unspecified", "cerebral", "artery", "occlusion", "with", "cerebral", "infarction", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"Crbl", "art", "ocl", "NOS", "w", "infrc\""]}
{"key": "86700c0eae00722e324e12c3ebb72980", "format": {"table": [0, 1], "cond": [[1, 3, 0, "Secundum atrial sept def"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients are diagnosed with secundum atrial septum defect?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DIAGNOSES.\"SHORT_TITLE\" = \"Secundum atrial sept def\"", "question_refine_tok": ["how", "many", "patients", "are", "diagnosed", "with", "secundum", "atrial", "septum", "defect", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"Secundum", "atrial", "sept", "def\""]}
{"key": "0d3a0c773b794768a307800f42bed3ae", "format": {"table": [0, 1], "cond": [[1, 4, 0, "Other shock without mention of trauma"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many of the patients had other shock without mention of trauma?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DIAGNOSES.\"LONG_TITLE\" = \"Other shock without mention of trauma\"", "question_refine_tok": ["how", "many", "of", "the", "patients", "had", "other", "shock", "without", "mention", "of", "trauma", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DIAGNOSES.\"LONG_TITLE\"", "=", "\"Other", "shock", "without", "mention", "of", "trauma\""]}
{"key": "870f671294fda99c32cc17f92aad78a8", "format": {"table": [0, 1], "cond": [[1, 4, 0, "Hemochromatosis due to repeated red blood cell transfusions"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients had the diagnosis long title hemochromatosis due to repeated red blood cell transfusions?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DIAGNOSES.\"LONG_TITLE\" = \"Hemochromatosis due to repeated red blood cell transfusions\"", "question_refine_tok": ["how", "many", "patients", "had", "the", "diagnosis", "long", "title", "hemochromatosis", "due", "to", "repeated", "red", "blood", "cell", "transfusions", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DIAGNOSES.\"LONG_TITLE\"", "=", "\"Hemochromatosis", "due", "to", "repeated", "red", "blood", "cell", "transfusions\""]}
{"key": "809481545e7a77fa4c823f05ba51741b", "format": {"table": [0, 2], "cond": [[2, 2, 0, 4105]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "specify the total number of patients who had icd9 code 4105", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE PROCEDURES.\"ICD9_CODE\" = \"4105\"", "question_refine_tok": ["specify", "the", "total", "number", "of", "patients", "who", "had", "icd9", "code", "4105"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "PROCEDURES.\"ICD9_CODE\"", "=", "\"4105\""]}
{"key": "05c5dbad2999a021a98bc80262a523d1", "format": {"table": [0, 2], "cond": [[2, 2, 0, 4601]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the total number of patients who had icd9 code 4601", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE PROCEDURES.\"ICD9_CODE\" = \"4601\"", "question_refine_tok": ["what", "is", "the", "total", "number", "of", "patients", "who", "had", "icd9", "code", "4601"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "PROCEDURES.\"ICD9_CODE\"", "=", "\"4601\""]}
{"key": "931575a48b183cfef6810a7748886f1c", "format": {"table": [0, 2], "cond": [[2, 2, 0, 3804]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "get the number of patients who have procedure icd9 code 3804.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE PROCEDURES.\"ICD9_CODE\" = \"3804\"", "question_refine_tok": ["get", "the", "number", "of", "patients", "who", "have", "procedure", "icd9", "code", "3804", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "PROCEDURES.\"ICD9_CODE\"", "=", "\"3804\""]}
{"key": "a601dcef90267006aea6385d22fd36d3", "format": {"table": [0, 2], "cond": [[2, 3, 0, "Cardiac rhythm conv NEC"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "give the number of patients whose procedure short title is cardiac rhythm conv nec.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE PROCEDURES.\"SHORT_TITLE\" = \"Cardiac rhythm conv NEC\"", "question_refine_tok": ["give", "the", "number", "of", "patients", "whose", "procedure", "short", "title", "is", "cardiac", "rhythm", "conv", "nec", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "PROCEDURES.\"SHORT_TITLE\"", "=", "\"Cardiac", "rhythm", "conv", "NEC\""]}
{"key": "0d4c35f952b8d4ff9c7b0b736d1556f1", "format": {"table": [0, 2], "cond": [[2, 3, 0, "Abdomen artery incision"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "calculate the total number of patients who had abdomen artery incision.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE PROCEDURES.\"SHORT_TITLE\" = \"Abdomen artery incision\"", "question_refine_tok": ["calculate", "the", "total", "number", "of", "patients", "who", "had", "abdomen", "artery", "incision", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "PROCEDURES.\"SHORT_TITLE\"", "=", "\"Abdomen", "artery", "incision\""]}
{"key": "90c61fa47e6f3ee70f1d5a5262acea5b", "format": {"table": [0, 2], "cond": [[2, 3, 0, "Radical cystectomy"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of patients who underwent radical cystectomy?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE PROCEDURES.\"SHORT_TITLE\" = \"Radical cystectomy\"", "question_refine_tok": ["what", "is", "the", "number", "of", "patients", "who", "underwent", "radical", "cystectomy", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "PROCEDURES.\"SHORT_TITLE\"", "=", "\"Radical", "cystectomy\""]}
{"key": "a74c0d773d66fce959ed3490677faac0", "format": {"table": [0, 2], "cond": [[2, 3, 0, "Opn lft hemicolectmy NEC"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "which patients had open and other left hemicolectomy?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE PROCEDURES.\"SHORT_TITLE\" = \"Opn lft hemicolectmy NEC\"", "question_refine_tok": ["which", "patients", "had", "open", "and", "other", "left", "hemicolectomy", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "PROCEDURES.\"SHORT_TITLE\"", "=", "\"Opn", "lft", "hemicolectmy", "NEC\""]}
{"key": "9ce7d4ba8e33f5a9bb87ec0199c5fcd2", "format": {"table": [0, 2], "cond": [[2, 4, 0, "Creation of conduit between left ventricle and aorta"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients had procedure creation of conduit between left ventricle and aorta?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE PROCEDURES.\"LONG_TITLE\" = \"Creation of conduit between left ventricle and aorta\"", "question_refine_tok": ["how", "many", "patients", "had", "procedure", "creation", "of", "conduit", "between", "left", "ventricle", "and", "aorta", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "PROCEDURES.\"LONG_TITLE\"", "=", "\"Creation", "of", "conduit", "between", "left", "ventricle", "and", "aorta\""]}
{"key": "8a2e0e54555d64dde3f63958cea24cc7", "format": {"table": [0, 2], "cond": [[2, 4, 0, "Drug detoxification"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "find the number of patients who underwent drug detoxification.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE PROCEDURES.\"LONG_TITLE\" = \"Drug detoxification\"", "question_refine_tok": ["find", "the", "number", "of", "patients", "who", "underwent", "drug", "detoxification", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "PROCEDURES.\"LONG_TITLE\"", "=", "\"Drug", "detoxification\""]}
{"key": "86f305efdfde01b908615d3b271a35ad", "format": {"table": [0, 3], "cond": [[3, 4, 0, "Diltiazem"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients were treated with diltiazem?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE PRESCRIPTIONS.\"DRUG\" = \"Diltiazem\"", "question_refine_tok": ["how", "many", "patients", "were", "treated", "with", "diltiazem", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "PRESCRIPTIONS.\"DRUG\"", "=", "\"Diltiazem\""]}
{"key": "abba3e287b6c32380cd3174ef6088b7f", "format": {"table": [0, 3], "cond": [[3, 4, 0, "Hydrocortisone Oint 0.5%"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients had the drug name hydrocortisone oint 0.5%?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE PRESCRIPTIONS.\"DRUG\" = \"Hydrocortisone Oint 0.5%\"", "question_refine_tok": ["how", "many", "patients", "had", "the", "drug", "name", "hydrocortisone", "oint", "0.5", "%", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "PRESCRIPTIONS.\"DRUG\"", "=", "\"Hydrocortisone", "Oint", "0.5%\""]}
{"key": "02984008762913113973753bce29760d", "format": {"table": [0, 3], "cond": [[3, 4, 0, "Spironolactone"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "which patients have prescription for spironolactone medication?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE PRESCRIPTIONS.\"DRUG\" = \"Spironolactone\"", "question_refine_tok": ["which", "patients", "have", "prescription", "for", "spironolactone", "medication", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "PRESCRIPTIONS.\"DRUG\"", "=", "\"Spironolactone\""]}
{"key": "82d3695ec5d890238e93c72e3a314ced", "format": {"table": [0, 3], "cond": [[3, 4, 0, "Nitroglycerin Ointment  2%"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how any patients have been given nitroglycerin ointment 2%?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE PRESCRIPTIONS.\"DRUG\" = \"Nitroglycerin Ointment  2%\"", "question_refine_tok": ["how", "any", "patients", "have", "been", "given", "nitroglycerin", "ointment", "2", "%", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "PRESCRIPTIONS.\"DRUG\"", "=", "\"Nitroglycerin", "Ointment", "", "2%\""]}
{"key": "04e11bc1fccec154a83252f26868c437", "format": {"table": [0, 3], "cond": [[3, 4, 0, "Tizanidine"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "specify the total number of patients treated with tizanidine", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE PRESCRIPTIONS.\"DRUG\" = \"Tizanidine\"", "question_refine_tok": ["specify", "the", "total", "number", "of", "patients", "treated", "with", "tizanidine"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "PRESCRIPTIONS.\"DRUG\"", "=", "\"Tizanidine\""]}
{"key": "07e8317bfc6823eb329bd116ced86994", "format": {"table": [0, 3], "cond": [[3, 4, 0, "Ferrous Gluconate"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients were given the drug ferrous gluconate?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE PRESCRIPTIONS.\"DRUG\" = \"Ferrous Gluconate\"", "question_refine_tok": ["how", "many", "patients", "were", "given", "the", "drug", "ferrous", "gluconate", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "PRESCRIPTIONS.\"DRUG\"", "=", "\"Ferrous", "Gluconate\""]}
{"key": "909508f96947421e68d99c31bd253ef0", "format": {"table": [0, 3], "cond": [[3, 5, 0, "PRED1"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients have been prescribed the drug with code pred1?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE PRESCRIPTIONS.\"FORMULARY_DRUG_CD\" = \"PRED1\"", "question_refine_tok": ["how", "many", "patients", "have", "been", "prescribed", "the", "drug", "with", "code", "pred1", "?"], "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\"", "=", "\"PRED1\""]}
{"key": "a5d9467737164f47007345c4893d763f", "format": {"table": [0, 3], "cond": [[3, 5, 0, "BACTSS"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "which patients have drug code bactss?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE PRESCRIPTIONS.\"FORMULARY_DRUG_CD\" = \"BACTSS\"", "question_refine_tok": ["which", "patients", "have", "drug", "code", "bactss", "?"], "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\"", "=", "\"BACTSS\""]}
{"key": "a8dc0bd5c32a5391be47e8cfd979667e", "format": {"table": [0, 3], "cond": [[3, 5, 0, "ATRO1I"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients had drug code atro1i?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE PRESCRIPTIONS.\"FORMULARY_DRUG_CD\" = \"ATRO1I\"", "question_refine_tok": ["how", "many", "patients", "had", "drug", "code", "atro1i", "?"], "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\"", "=", "\"ATRO1I\""]}
{"key": "06221a83812b03cacce79b7404bb3785", "format": {"table": [0, 3], "cond": [[3, 5, 0, "PANT40I"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients have the drug code pant40i?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE PRESCRIPTIONS.\"FORMULARY_DRUG_CD\" = \"PANT40I\"", "question_refine_tok": ["how", "many", "patients", "have", "the", "drug", "code", "pant40i", "?"], "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\"", "=", "\"PANT40I\""]}
{"key": "9e98c86301154d7baf44b1654b51c1f0", "format": {"table": [0, 3], "cond": [[3, 6, 0, "REPLACE"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of patients with replaced 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\" = \"REPLACE\"", "question_refine_tok": ["what", "is", "the", "number", "of", "patients", "with", "replaced", "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\"", "=", "\"REPLACE\""]}
{"key": "9dc0838fea8ceebde01fd608c434210c", "format": {"table": [0, 3], "cond": [[3, 6, 0, "BUCCAL"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "which patients have buccal 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\" = \"BUCCAL\"", "question_refine_tok": ["which", "patients", "have", "buccal", "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\"", "=", "\"BUCCAL\""]}
{"key": "ab6f89b00da40c7ecc26b6864d460588", "format": {"table": [0, 3], "cond": [[3, 6, 0, "IV DRIP"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients had iv drip drug route?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE PRESCRIPTIONS.\"ROUTE\" = \"IV DRIP\"", "question_refine_tok": ["how", "many", "patients", "had", "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", "PRESCRIPTIONS.\"ROUTE\"", "=", "\"IV", "DRIP\""]}
{"key": "9638fb767e2ce81c243568cce6a0d6fe", "format": {"table": [0, 3], "cond": [[3, 6, 0, "TP"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "which patients are medication via tp route?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE PRESCRIPTIONS.\"ROUTE\" = \"TP\"", "question_refine_tok": ["which", "patients", "are", "medication", "via", "tp", "route", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "PRESCRIPTIONS.\"ROUTE\"", "=", "\"TP\""]}
{"key": "971abf094f9ae07758205567a0bcc5f1", "format": {"table": [0, 3], "cond": [[3, 6, 0, "DWELL"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of patients whose drug route is dwell?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE PRESCRIPTIONS.\"ROUTE\" = \"DWELL\"", "question_refine_tok": ["what", "is", "the", "number", "of", "patients", "whose", "drug", "route", "is", "dwell", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "PRESCRIPTIONS.\"ROUTE\"", "=", "\"DWELL\""]}
{"key": "9374426f7a7a5514195f42d67b10ae3a", "format": {"table": [0, 4], "cond": [[4, 2, 0, 51200]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "which patients have lab test item id 51200?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE LAB.\"ITEMID\" = \"51200\"", "question_refine_tok": ["which", "patients", "have", "lab", "test", "item", "i", "d", "51200", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "LAB.\"ITEMID\"", "=", "\"51200\""]}
{"key": "860df604232ec2b6f7612f44a1acd583", "format": {"table": [0, 4], "cond": [[4, 2, 0, 51214]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "look for the number of patients who have lab test item id 51214.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE LAB.\"ITEMID\" = \"51214\"", "question_refine_tok": ["look", "for", "the", "number", "of", "patients", "who", "have", "lab", "test", "item", "i", "d", "51214", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "LAB.\"ITEMID\"", "=", "\"51214\""]}
{"key": "0ce185e197a73df5c7d1d28e8b208096", "format": {"table": [0, 4], "cond": [[4, 2, 0, 51218]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "give the number of patients whose item id is 51218.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE LAB.\"ITEMID\" = \"51218\"", "question_refine_tok": ["give", "the", "number", "of", "patients", "whose", "item", "i", "d", "is", "51218", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "LAB.\"ITEMID\"", "=", "\"51218\""]}
{"key": "96160962e5c4e848fcc6d8436019e9a1", "format": {"table": [0, 4], "cond": [[4, 2, 0, 51229]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of patients who have lab test item id 51229.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE LAB.\"ITEMID\" = \"51229\"", "question_refine_tok": ["count", "the", "number", "of", "patients", "who", "have", "lab", "test", "item", "i", "d", "51229", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "LAB.\"ITEMID\"", "=", "\"51229\""]}
{"key": "a6efda66101f5ee356834b8d407f433a", "format": {"table": [0, 4], "cond": [[4, 2, 0, 51245]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "find out the number of patients with lab test item id 51245.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE LAB.\"ITEMID\" = \"51245\"", "question_refine_tok": ["find", "out", "the", "number", "of", "patients", "with", "lab", "test", "item", "i", "d", "51245", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "LAB.\"ITEMID\"", "=", "\"51245\""]}
{"key": "934102ea4b2c1a74fa970bf8adf637c9", "format": {"table": [0, 4], "cond": [[4, 2, 0, 51256]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of patients whose item id is 51256.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE LAB.\"ITEMID\" = \"51256\"", "question_refine_tok": ["count", "the", "number", "of", "patients", "whose", "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", "LAB.\"ITEMID\"", "=", "\"51256\""]}
{"key": "a042f037d40f6ca5ddaa6b3b1cd2d4fb", "format": {"table": [0, 4], "cond": [[4, 6, 0, "Triiodothyronine (T3)"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients were tested for triiodothyronine (t3)?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE LAB.\"LABEL\" = \"Triiodothyronine (T3)\"", "question_refine_tok": ["how", "many", "patients", "were", "tested", "for", "triiodothyronine", "(", "t3", ")", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "LAB.\"LABEL\"", "=", "\"Triiodothyronine", "(T3)\""]}
{"key": "80d9900f94b580302de4a0266ed25d48", "format": {"table": [0, 4], "cond": [[4, 6, 0, "RBC, CSF"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "which patients were ordered rbc, csf lab test?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE LAB.\"LABEL\" = \"RBC, CSF\"", "question_refine_tok": ["which", "patients", "were", "ordered", "rbc", ",", "csf", "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\"", "=", "\"RBC,", "CSF\""]}
{"key": "060151fe7a66f01cf5811b6efdc73538", "format": {"table": [0, 4], "cond": [[4, 6, 0, "Alanine Aminotransferase (ALT)"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "find the number of patients who were ordered alanine aminotransferase (alt) lab test.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE LAB.\"LABEL\" = \"Alanine Aminotransferase (ALT)\"", "question_refine_tok": ["find", "the", "number", "of", "patients", "who", "were", "ordered", "alanine", "aminotransferase", "(", "alt", ")", "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\"", "=", "\"Alanine", "Aminotransferase", "(ALT)\""]}
{"key": "8ee312bcaee5fe43732e1d6afd1f8e50", "format": {"table": [0, 4], "cond": [[4, 6, 0, "Mesothelial cells"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients had their lab test name as mesothelial cells?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE LAB.\"LABEL\" = \"Mesothelial cells\"", "question_refine_tok": ["how", "many", "patients", "had", "their", "lab", "test", "name", "as", "mesothelial", "cells", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "LAB.\"LABEL\"", "=", "\"Mesothelial", "cells\""]}
{"key": "a0900dc344330df7b6a46d5c347d108d", "format": {"table": [0, 4], "cond": [[4, 7, 0, "Cerebrospinal Fluid (CSF)"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of patients for whom csf lab test was ordered.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE LAB.\"FLUID\" = \"Cerebrospinal Fluid (CSF)\"", "question_refine_tok": ["count", "the", "number", "of", "patients", "for", "whom", "csf", "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", "LAB.\"FLUID\"", "=", "\"Cerebrospinal", "Fluid", "(CSF)\""]}
{"key": "00648dbdd1cf6863da5597366c79a6f0", "format": {"table": [0], "cond": [[0, 3, 0, "SINGLE"], [0, 12, 0, "WHITE"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many of the unmarried patients belonged to white ethnic origin?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"MARITAL_STATUS\" = \"SINGLE\" AND DEMOGRAPHIC.\"ETHNICITY\" = \"WHITE\"", "question_refine_tok": ["how", "many", "of", "the", "unmarried", "patients", "belonged", "to", "white", "ethnic", "origin", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"MARITAL_STATUS\"", "=", "\"SINGLE\"", "AND", "DEMOGRAPHIC.\"ETHNICITY\"", "=", "\"WHITE\""]}
{"key": "81732889ea775ce54e8a3a2ba1d6ddcf", "format": {"table": [0], "cond": [[0, 3, 0, "DIVORCED"], [0, 12, 0, "BLACK/AFRICAN AMERICAN"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many divorced patients belong to black/african american ethnicity?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"MARITAL_STATUS\" = \"DIVORCED\" AND DEMOGRAPHIC.\"ETHNICITY\" = \"BLACK/AFRICAN AMERICAN\"", "question_refine_tok": ["how", "many", "divorced", "patients", "belong", "to", "black", "/", "african", "american", "ethnicity", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"MARITAL_STATUS\"", "=", "\"DIVORCED\"", "AND", "DEMOGRAPHIC.\"ETHNICITY\"", "=", "\"BLACK/AFRICAN", "AMERICAN\""]}
{"key": "a7dfb5cb643686fde165b81208a5780f", "format": {"table": [0], "cond": [[0, 3, 0, "MARRIED"], [0, 12, 0, "ASIAN"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "give me the number of patients whose marital status is married and ethnicity is asian", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"MARITAL_STATUS\" = \"MARRIED\" AND DEMOGRAPHIC.\"ETHNICITY\" = \"ASIAN\"", "question_refine_tok": ["give", "me", "the", "number", "of", "patients", "whose", "marital", "status", "is", "married", "and", "ethnicity", "is", "asian"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"MARITAL_STATUS\"", "=", "\"MARRIED\"", "AND", "DEMOGRAPHIC.\"ETHNICITY\"", "=", "\"ASIAN\""]}
{"key": "885d89607152d4e994c2d3ea430b4cde", "format": {"table": [0], "cond": [[0, 3, 0, "DIVORCED"], [0, 22, 2, 2120]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of divorced patients who were admitted before 2120?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"MARITAL_STATUS\" = \"DIVORCED\" AND DEMOGRAPHIC.\"ADMITYEAR\" < \"2120\"", "question_refine_tok": ["what", "is", "the", "number", "of", "divorced", "patients", "who", "were", "admitted", "before", "2120", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"MARITAL_STATUS\"", "=", "\"DIVORCED\"", "AND", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2120\""]}
{"key": "9126eb002106d4c790c7ca9f1745106d", "format": {"table": [0], "cond": [[0, 3, 0, "MARRIED"], [0, 22, 2, 2198]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "out of total number of patients admitted in the year less than 2198, how many of them were married.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"MARITAL_STATUS\" = \"MARRIED\" AND DEMOGRAPHIC.\"ADMITYEAR\" < \"2198\"", "question_refine_tok": ["out", "of", "total", "number", "of", "patients", "admitted", "in", "the", "year", "less", "than", "2198", ",", "how", "many", "of", "them", "were", "married", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"MARITAL_STATUS\"", "=", "\"MARRIED\"", "AND", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2198\""]}
{"key": "00ef3ee46331250704baf2033dad4b10", "format": {"table": [0, 1], "cond": [[0, 3, 0, "DIVORCED"], [1, 2, 0, "25541"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients diagnosed under icd9 code 25541 were divorced?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"MARITAL_STATUS\" = \"DIVORCED\" AND DIAGNOSES.\"ICD9_CODE\" = \"25541\"", "question_refine_tok": ["how", "many", "patients", "diagnosed", "under", "icd9", "code", "25541", "were", "divorced", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"MARITAL_STATUS\"", "=", "\"DIVORCED\"", "AND", "DIAGNOSES.\"ICD9_CODE\"", "=", "\"25541\""]}
{"key": "003f53e7bc7442b9768eadd55de1419d", "format": {"table": [0, 1], "cond": [[0, 3, 0, "DIVORCED"], [1, 3, 0, "Ocl crtd art wo infrct"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "provide the number of divorced patients who were diagnosed with occlusion and stenosis of carotid artery without mention of cerebral infarction.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"MARITAL_STATUS\" = \"DIVORCED\" AND DIAGNOSES.\"SHORT_TITLE\" = \"Ocl crtd art wo infrct\"", "question_refine_tok": ["provide", "the", "number", "of", "divorced", "patients", "who", "were", "diagnosed", "with", "occlusion", "and", "stenosis", "of", "carotid", "artery", "without", "mention", "of", "cerebral", "infarction", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"MARITAL_STATUS\"", "=", "\"DIVORCED\"", "AND", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"Ocl", "crtd", "art", "wo", "infrct\""]}
{"key": "ade0c7463c725d9219e5712adb45de85", "format": {"table": [0, 1], "cond": [[0, 3, 0, "MARRIED"], [1, 3, 0, "AMI inferolateral, init"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of married patients who have acute myocardial infarction of inferolateral wall, initial episode of care diagnoses.", "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\" = \"AMI inferolateral, init\"", "question_refine_tok": ["count", "the", "number", "of", "married", "patients", "who", "have", "acute", "myocardial", "infarction", "of", "inferolateral", "wall", ",", "initial", "episode", "of", "care", "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\"", "=", "\"MARRIED\"", "AND", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"AMI", "inferolateral,", "init\""]}
{"key": "a90ecf2fa6bc7c4af1d8fc44eb09a881", "format": {"table": [0, 1], "cond": [[0, 3, 0, "MARRIED"], [1, 4, 0, "Pyelonephritis, unspecified"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "find the number of patients who are married and have been diagnosed with pyelonephritis, unspecified.", "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\" = \"Pyelonephritis, unspecified\"", "question_refine_tok": ["find", "the", "number", "of", "patients", "who", "are", "married", "and", "have", "been", "diagnosed", "with", "pyelonephritis", ",", "unspecified", "."], "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\"", "=", "\"Pyelonephritis,", "unspecified\""]}
{"key": "01f05a65bd07aa9348e2de5f77103144", "format": {"table": [0, 2], "cond": [[0, 3, 0, "SINGLE"], [2, 2, 0, 4523]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "find me the number of unmarried patients who have 4523 procedure icd9 code.", "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\" = \"4523\"", "question_refine_tok": ["find", "me", "the", "number", "of", "unmarried", "patients", "who", "have", "4523", "procedure", "icd9", "code", "."], "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\"", "=", "\"4523\""]}
{"key": "0ce126ae4e9cb93b9ebe1d771b4b4026", "format": {"table": [0, 2], "cond": [[0, 3, 0, "SINGLE"], [2, 2, 0, 8968]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of unmarried 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 DEMOGRAPHIC.\"MARITAL_STATUS\" = \"SINGLE\" AND PROCEDURES.\"ICD9_CODE\" = \"8968\"", "question_refine_tok": ["what", "is", "the", "number", "of", "unmarried", "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", "DEMOGRAPHIC.\"MARITAL_STATUS\"", "=", "\"SINGLE\"", "AND", "PROCEDURES.\"ICD9_CODE\"", "=", "\"8968\""]}
{"key": "0ef1bd0f34de8289d8b8043c9600dbb9", "format": {"table": [0, 2], "cond": [[0, 3, 0, "SINGLE"], [2, 3, 0, "Tonsil&adenoid biopsy"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "get me the number of unmarried patients who had tonsil & adenoid biopsy.", "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\" = \"Tonsil&adenoid biopsy\"", "question_refine_tok": ["get", "me", "the", "number", "of", "unmarried", "patients", "who", "had", "tonsil", "&", "adenoid", "biopsy", "."], "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\"", "=", "\"Tonsil&adenoid", "biopsy\""]}
{"key": "a91aca91e611cc00d88e4830e527aef7", "format": {"table": [0, 2], "cond": [[0, 3, 0, "MARRIED"], [2, 3, 0, "Opn mitral valvuloplasty"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "tell me the number of married patients who underwent procedure open mitral valvuloplasty.", "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\" = \"Opn mitral valvuloplasty\"", "question_refine_tok": ["tell", "me", "the", "number", "of", "married", "patients", "who", "underwent", "procedure", "open", "mitral", "valvuloplasty", "."], "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\"", "=", "\"Opn", "mitral", "valvuloplasty\""]}
{"key": "a03591944cbd372c579f85a8601246d7", "format": {"table": [0, 4], "cond": [[0, 3, 0, "SINGLE"], [4, 8, 0, "Hematology"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "provide the number of unmarried patients who have hematology lab test category.", "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\" = \"Hematology\"", "question_refine_tok": ["provide", "the", "number", "of", "unmarried", "patients", "who", "have", "hematology", "lab", "test", "category", "."], "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\"", "=", "\"Hematology\""]}
{"key": "9d2768cf17e0425da16f63997f9008fe", "format": {"table": [0], "cond": [[0, 6, 0, "F"], [0, 9, 0, "ELECTIVE"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "get me the number of female patients who had elective hospital admission.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"GENDER\" = \"F\" AND DEMOGRAPHIC.\"ADMISSION_TYPE\" = \"ELECTIVE\"", "question_refine_tok": ["get", "me", "the", "number", "of", "female", "patients", "who", "had", "elective", "hospital", "admission", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"GENDER\"", "=", "\"F\"", "AND", "DEMOGRAPHIC.\"ADMISSION_TYPE\"", "=", "\"ELECTIVE\""]}
{"key": "085ccd570886bbdcecbbfb4b9f8b8644", "format": {"table": [0], "cond": [[0, 6, 0, "F"], [0, 9, 0, "EMERGENCY"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many female patients had an emergency admission type?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"GENDER\" = \"F\" AND DEMOGRAPHIC.\"ADMISSION_TYPE\" = \"EMERGENCY\"", "question_refine_tok": ["how", "many", "female", "patients", "had", "an", "emergency", "admission", "type", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"GENDER\"", "=", "\"F\"", "AND", "DEMOGRAPHIC.\"ADMISSION_TYPE\"", "=", "\"EMERGENCY\""]}
{"key": "a0340437a3e0b41ee288ee4688e73caf", "format": {"table": [0], "cond": [[0, 6, 0, "M"], [0, 9, 0, "URGENT"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "among the total number of urgent admissions, how many of them were male patients?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"GENDER\" = \"M\" AND DEMOGRAPHIC.\"ADMISSION_TYPE\" = \"URGENT\"", "question_refine_tok": ["among", "the", "total", "number", "of", "urgent", "admissions", ",", "how", "many", "of", "them", "were", "male", "patients", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"GENDER\"", "=", "\"M\"", "AND", "DEMOGRAPHIC.\"ADMISSION_TYPE\"", "=", "\"URGENT\""]}
{"key": "891114d2fc4e33a1bf1fb2afb806f51a", "format": {"table": [0], "cond": [[0, 6, 0, "F"], [0, 11, 0, "Self Pay"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many female patients had the insurance self pay?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"GENDER\" = \"F\" AND DEMOGRAPHIC.\"INSURANCE\" = \"Self Pay\"", "question_refine_tok": ["how", "many", "female", "patients", "had", "the", "insurance", "self", "pay", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"GENDER\"", "=", "\"F\"", "AND", "DEMOGRAPHIC.\"INSURANCE\"", "=", "\"Self", "Pay\""]}
{"key": "bb9cac96e684f7a261332a1fadbed50c", "format": {"table": [0], "cond": [[0, 6, 0, "M"], [0, 11, 0, "Medicare"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many male patients had medicare insurance?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"GENDER\" = \"M\" AND DEMOGRAPHIC.\"INSURANCE\" = \"Medicare\"", "question_refine_tok": ["how", "many", "male", "patients", "had", "medicare", "insurance", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"GENDER\"", "=", "\"M\"", "AND", "DEMOGRAPHIC.\"INSURANCE\"", "=", "\"Medicare\""]}
{"key": "8c4094b14f138bbe58b72af518b7ad1c", "format": {"table": [0], "cond": [[0, 6, 0, "F"], [0, 12, 0, "WHITE - RUSSIAN"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many female patients belong to white russian ethnicity?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"GENDER\" = \"F\" AND DEMOGRAPHIC.\"ETHNICITY\" = \"WHITE - RUSSIAN\"", "question_refine_tok": ["how", "many", "female", "patients", "belong", "to", "white", "russian", "ethnicity", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"GENDER\"", "=", "\"F\"", "AND", "DEMOGRAPHIC.\"ETHNICITY\"", "=", "\"WHITE", "-", "RUSSIAN\""]}
{"key": "830f85be4c94fd358f0fdaf278230176", "format": {"table": [0], "cond": [[0, 6, 0, "F"], [0, 12, 0, "WHITE"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many female patients belonged to white ethnic origin?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"GENDER\" = \"F\" AND DEMOGRAPHIC.\"ETHNICITY\" = \"WHITE\"", "question_refine_tok": ["how", "many", "female", "patients", "belonged", "to", "white", "ethnic", "origin", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"GENDER\"", "=", "\"F\"", "AND", "DEMOGRAPHIC.\"ETHNICITY\"", "=", "\"WHITE\""]}
{"key": "a580e307f344b684c0ce9e8900d41c72", "format": {"table": [0], "cond": [[0, 6, 0, "M"], [0, 14, 0, "CLINIC REFERRAL/PREMATURE"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "find the number of patients who are male and their admission location is clinic referral/premature.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"GENDER\" = \"M\" AND DEMOGRAPHIC.\"ADMISSION_LOCATION\" = \"CLINIC REFERRAL/PREMATURE\"", "question_refine_tok": ["find", "the", "number", "of", "patients", "who", "are", "male", "and", "their", "admission", "location", "is", "clinic", "referral", "/", "premature", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"GENDER\"", "=", "\"M\"", "AND", "DEMOGRAPHIC.\"ADMISSION_LOCATION\"", "=", "\"CLINIC", "REFERRAL/PREMATURE\""]}
{"key": "87ad79f94d27a4728ad5359025e0f862", "format": {"table": [0], "cond": [[0, 6, 0, "F"], [0, 15, 0, "DEAD/EXPIRED"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "look for the number of female patients who were discharged dead/expired.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"GENDER\" = \"F\" AND DEMOGRAPHIC.\"DISCHARGE_LOCATION\" = \"DEAD/EXPIRED\"", "question_refine_tok": ["look", "for", "the", "number", "of", "female", "patients", "who", "were", "discharged", "dead", "/", "expired", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"GENDER\"", "=", "\"F\"", "AND", "DEMOGRAPHIC.\"DISCHARGE_LOCATION\"", "=", "\"DEAD/EXPIRED\""]}
{"key": "a49ba67979f1038a46a665478bcb7a0c", "format": {"table": [0], "cond": [[0, 6, 0, "F"], [0, 16, 0, "VENTRICULAR TACHYCARDIA"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "provide the number of patients whose diagnoses is lap surg convert to open and they are female.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"GENDER\" = \"F\" AND DEMOGRAPHIC.\"DIAGNOSIS\" = \"VENTRICULAR TACHYCARDIA\"", "question_refine_tok": ["provide", "the", "number", "of", "patients", "whose", "diagnoses", "is", "lap", "surg", "convert", "to", "open", "and", "they", "are", "female", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"GENDER\"", "=", "\"F\"", "AND", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"VENTRICULAR", "TACHYCARDIA\""]}
{"key": "04f70250fa8b8c71fcf64afe5f04935c", "format": {"table": [0], "cond": [[0, 6, 0, "F"], [0, 16, 0, "TRANSIENT ISCHEMIC ATTACK"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "find .the number of patients who are female and were diagnosed with transient ischemic attack?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"GENDER\" = \"F\" AND DEMOGRAPHIC.\"DIAGNOSIS\" = \"TRANSIENT ISCHEMIC ATTACK\"", "question_refine_tok": ["find", ".the", "number", "of", "patients", "who", "are", "female", "and", "were", "diagnosed", "with", "transient", "ischemic", "attack", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"GENDER\"", "=", "\"F\"", "AND", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"TRANSIENT", "ISCHEMIC", "ATTACK\""]}
{"key": "0865ad637ad2259ebb61c689e98b06cd", "format": {"table": [0], "cond": [[0, 6, 0, "M"], [0, 16, 0, "COPD EXACERBATION"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many male patients have copd exacerbation as their primary disease?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"GENDER\" = \"M\" AND DEMOGRAPHIC.\"DIAGNOSIS\" = \"COPD EXACERBATION\"", "question_refine_tok": ["how", "many", "male", "patients", "have", "copd", "exacerbation", "as", "their", "primary", "disease", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"GENDER\"", "=", "\"M\"", "AND", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"COPD", "EXACERBATION\""]}
{"key": "aa024c1b63b3b5033195044b8dbbfee1", "format": {"table": [0], "cond": [[0, 6, 0, "F"], [0, 4, 2, 43]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many female patients aged below 43 years?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"GENDER\" = \"F\" AND DEMOGRAPHIC.\"AGE\" < \"43\"", "question_refine_tok": ["how", "many", "female", "patients", "aged", "below", "43", "years", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"GENDER\"", "=", "\"F\"", "AND", "DEMOGRAPHIC.\"AGE\"", "<", "\"43\""]}
{"key": "051e15109d31eca3af6d4a47486cb036", "format": {"table": [0], "cond": [[0, 6, 0, "F"], [0, 4, 2, 44]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "tell me the number of female patients who are less than 44 years of age.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"GENDER\" = \"F\" AND DEMOGRAPHIC.\"AGE\" < \"44\"", "question_refine_tok": ["tell", "me", "the", "number", "of", "female", "patients", "who", "are", "less", "than", "44", "years", "of", "age", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"GENDER\"", "=", "\"F\"", "AND", "DEMOGRAPHIC.\"AGE\"", "<", "\"44\""]}
{"key": "9bebc7e80c1afd55faaf99cb972caf61", "format": {"table": [0], "cond": [[0, 6, 0, "M"], [0, 4, 2, 77]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many of the male patients were aged below 77?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"GENDER\" = \"M\" AND DEMOGRAPHIC.\"AGE\" < \"77\"", "question_refine_tok": ["how", "many", "of", "the", "male", "patients", "were", "aged", "below", "77", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"GENDER\"", "=", "\"M\"", "AND", "DEMOGRAPHIC.\"AGE\"", "<", "\"77\""]}
{"key": "017e1f21141e43d53c4f9311a23b0607", "format": {"table": [0], "cond": [[0, 6, 0, "M"], [0, 4, 2, 79]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many male patients are less than 79 years of age?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"GENDER\" = \"M\" AND DEMOGRAPHIC.\"AGE\" < \"79\"", "question_refine_tok": ["how", "many", "male", "patients", "are", "less", "than", "79", "years", "of", "age", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"GENDER\"", "=", "\"M\"", "AND", "DEMOGRAPHIC.\"AGE\"", "<", "\"79\""]}
{"key": "005126389e203de74cbb8935f6c7a256", "format": {"table": [0], "cond": [[0, 6, 0, "M"], [0, 4, 2, 24]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many male patients are below 24 years of age?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"GENDER\" = \"M\" AND DEMOGRAPHIC.\"AGE\" < \"24\"", "question_refine_tok": ["how", "many", "male", "patients", "are", "below", "24", "years", "of", "age", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"GENDER\"", "=", "\"M\"", "AND", "DEMOGRAPHIC.\"AGE\"", "<", "\"24\""]}
{"key": "07409693de111b6d37ed0372f74f0e7a", "format": {"table": [0], "cond": [[0, 6, 0, "M"], [0, 18, 2, 1846]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of male patients who were born before 1846.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"GENDER\" = \"M\" AND DEMOGRAPHIC.\"DOB_YEAR\" < \"1846\"", "question_refine_tok": ["count", "the", "number", "of", "male", "patients", "who", "were", "born", "before", "1846", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"GENDER\"", "=", "\"M\"", "AND", "DEMOGRAPHIC.\"DOB_YEAR\"", "<", "\"1846\""]}
{"key": "ac915e25dd47cc485ec186e545c86b48", "format": {"table": [0, 1], "cond": [[0, 6, 0, "F"], [1, 2, 0, "3572"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "give me the number of female patients who have diagnosis icd9 code 3572.", "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.\"ICD9_CODE\" = \"3572\"", "question_refine_tok": ["give", "me", "the", "number", "of", "female", "patients", "who", "have", "diagnosis", "icd9", "code", "3572", "."], "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.\"ICD9_CODE\"", "=", "\"3572\""]}
{"key": "96afc2a274c9bac2d9765759a64957fd", "format": {"table": [0, 1], "cond": [[0, 6, 0, "F"], [1, 2, 0, "99813"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many female 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.\"GENDER\" = \"F\" AND DIAGNOSES.\"ICD9_CODE\" = \"99813\"", "question_refine_tok": ["how", "many", "female", "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.\"GENDER\"", "=", "\"F\"", "AND", "DIAGNOSES.\"ICD9_CODE\"", "=", "\"99813\""]}
{"key": "accc81fb75df97d7563cbae8ec618d90", "format": {"table": [0, 1], "cond": [[0, 6, 0, "F"], [1, 3, 0, "Staph pneumonia NEC"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "show me the number of female patients who have been diagnosed with unspecified pneumonia due to staphylococcus.", "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\" = \"Staph pneumonia NEC\"", "question_refine_tok": ["show", "me", "the", "number", "of", "female", "patients", "who", "have", "been", "diagnosed", "with", "unspecified", "pneumonia", "due", "to", "staphylococcus", "."], "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\"", "=", "\"Staph", "pneumonia", "NEC\""]}
{"key": "064bdfb8075ddf916996b79432d9e188", "format": {"table": [0, 2], "cond": [[0, 6, 0, "F"], [2, 2, 0, 5771]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many female patients had the procedure icd9 code 5771?", "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.\"ICD9_CODE\" = \"5771\"", "question_refine_tok": ["how", "many", "female", "patients", "had", "the", "procedure", "icd9", "code", "5771", "?"], "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.\"ICD9_CODE\"", "=", "\"5771\""]}
{"key": "a4411125b5abe68f2d0eb36a12677a73", "format": {"table": [0, 2], "cond": [[0, 6, 0, "M"], [2, 2, 0, 8842]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many of the male patients had icd9 code 8842?", "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.\"ICD9_CODE\" = \"8842\"", "question_refine_tok": ["how", "many", "of", "the", "male", "patients", "had", "icd9", "code", "8842", "?"], "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.\"ICD9_CODE\"", "=", "\"8842\""]}
{"key": "95c238a02d6882fc2c6d323fde3f7631", "format": {"table": [0, 2], "cond": [[0, 6, 0, "M"], [2, 2, 0, 9703]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many male patients had the procedure icd9 code 9703?", "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.\"ICD9_CODE\" = \"9703\"", "question_refine_tok": ["how", "many", "male", "patients", "had", "the", "procedure", "icd9", "code", "9703", "?"], "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.\"ICD9_CODE\"", "=", "\"9703\""]}
{"key": "a5b952dae5761a673041cb3e4c9b2fd4", "format": {"table": [0, 2], "cond": [[0, 6, 0, "F"], [2, 3, 0, "Drug detoxification"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many female patients have undergone drug detoxification as their procedure short title?", "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.\"SHORT_TITLE\" = \"Drug detoxification\"", "question_refine_tok": ["how", "many", "female", "patients", "have", "undergone", "drug", "detoxification", "as", "their", "procedure", "short", "title", "?"], "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.\"SHORT_TITLE\"", "=", "\"Drug", "detoxification\""]}
{"key": "0dde689bf72ef9edd183eb73843dba07", "format": {"table": [0, 2], "cond": [[0, 6, 0, "M"], [2, 4, 0, "Open and other replacement of aortic valve with tissue graft"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many male patients had open and other replacement of aortic valve with tissue graft procedure?", "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\" = \"Open and other replacement of aortic valve with tissue graft\"", "question_refine_tok": ["how", "many", "male", "patients", "had", "open", "and", "other", "replacement", "of", "aortic", "valve", "with", "tissue", "graft", "procedure", "?"], "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\"", "=", "\"Open", "and", "other", "replacement", "of", "aortic", "valve", "with", "tissue", "graft\""]}
{"key": "93f1c2203790abf5e19f70304d9fa6cb", "format": {"table": [0, 3], "cond": [[0, 6, 0, "F"], [3, 4, 0, "Amitriptyline"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "among patients treated with amitriptyline, calculate the number of female patients.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"GENDER\" = \"F\" AND PRESCRIPTIONS.\"DRUG\" = \"Amitriptyline\"", "question_refine_tok": ["among", "patients", "treated", "with", "amitriptyline", ",", "calculate", "the", "number", "of", "female", "patients", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"GENDER\"", "=", "\"F\"", "AND", "PRESCRIPTIONS.\"DRUG\"", "=", "\"Amitriptyline\""]}
{"key": "9b581dcd0f727ee14875356de70bafdd", "format": {"table": [0, 3], "cond": [[0, 6, 0, "F"], [3, 4, 0, "Theophylline SR"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many female patients with a drug name theophylline sr?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"GENDER\" = \"F\" AND PRESCRIPTIONS.\"DRUG\" = \"Theophylline SR\"", "question_refine_tok": ["how", "many", "female", "patients", "with", "a", "drug", "name", "theophylline", "sr", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"GENDER\"", "=", "\"F\"", "AND", "PRESCRIPTIONS.\"DRUG\"", "=", "\"Theophylline", "SR\""]}
{"key": "9b5243d9114f907596a4a8362e169688", "format": {"table": [0, 3], "cond": [[0, 6, 0, "M"], [3, 5, 0, "ARIP10"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "find out the number of male patients who have arip10 drug code.", "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\" = \"ARIP10\"", "question_refine_tok": ["find", "out", "the", "number", "of", "male", "patients", "who", "have", "arip10", "drug", "code", "."], "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\"", "=", "\"ARIP10\""]}
{"key": "93b9e31884f67490542d6aaf4d6b8108", "format": {"table": [0, 4], "cond": [[0, 6, 0, "M"], [4, 2, 0, 51146]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many male patients have lab test item id 51146?", "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\" = \"51146\"", "question_refine_tok": ["how", "many", "male", "patients", "have", "lab", "test", "item", "i", "d", "51146", "?"], "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\"", "=", "\"51146\""]}
{"key": "95467eb799726ac08b222ad6b2fa9fc8", "format": {"table": [0, 4], "cond": [[0, 6, 0, "M"], [4, 2, 0, 51148]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "specify the total number of male patients with item id = 51148", "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\" = \"51148\"", "question_refine_tok": ["specify", "the", "total", "number", "of", "male", "patients", "with", "item", "i", "d", "=", "51148"], "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\"", "=", "\"51148\""]}
{"key": "9624197cdfc232272226b8d1716d3cf9", "format": {"table": [0, 4], "cond": [[0, 6, 0, "M"], [4, 6, 0, "Amylase"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many male patients had the lab test for amylase?", "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.\"LABEL\" = \"Amylase\"", "question_refine_tok": ["how", "many", "male", "patients", "had", "the", "lab", "test", "for", "amylase", "?"], "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.\"LABEL\"", "=", "\"Amylase\""]}
{"key": "8528bb359cc39d7ad4fc795461677553", "format": {"table": [0, 4], "cond": [[0, 6, 0, "M"], [4, 6, 0, "PTT"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "give me the number of  male patients whose lab test name is ptt.", "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.\"LABEL\" = \"PTT\"", "question_refine_tok": ["give", "me", "the", "number", "of", " ", "male", "patients", "whose", "lab", "test", "name", "is", "ptt", "."], "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.\"LABEL\"", "=", "\"PTT\""]}
{"key": "abd26d62b8557ca1e9111eb9ffe88c4a", "format": {"table": [0, 4], "cond": [[0, 6, 0, "M"], [4, 6, 0, "Potassium, Whole Blood"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many male patients had the lab test name potassium, whole blood?", "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.\"LABEL\" = \"Potassium, Whole Blood\"", "question_refine_tok": ["how", "many", "male", "patients", "had", "the", "lab", "test", "name", "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.\"GENDER\"", "=", "\"M\"", "AND", "LAB.\"LABEL\"", "=", "\"Potassium,", "Whole", "Blood\""]}
{"key": "03e7efbd099cefdb084900589681e2d1", "format": {"table": [0], "cond": [[0, 7, 0, "RUSS"], [0, 15, 0, "DISC-TRAN CANCER/CHLDRN H"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "give the number of paitents whose language is russian and discharge location is disc-tran cancer/chldrn h.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"LANGUAGE\" = \"RUSS\" AND DEMOGRAPHIC.\"DISCHARGE_LOCATION\" = \"DISC-TRAN CANCER/CHLDRN H\"", "question_refine_tok": ["give", "the", "number", "of", "paitents", "whose", "language", "is", "russian", "and", "discharge", "location", "is", "disc", "-", "tran", "cancer", "/", "chldrn", "h."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"LANGUAGE\"", "=", "\"RUSS\"", "AND", "DEMOGRAPHIC.\"DISCHARGE_LOCATION\"", "=", "\"DISC-TRAN", "CANCER/CHLDRN", "H\""]}
{"key": "86a048bee4d60ed30b32964f9a48eac9", "format": {"table": [0], "cond": [[0, 7, 0, "CAPE"], [0, 4, 2, 67]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what number of patients under the gae of 67 speak the language cape?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"LANGUAGE\" = \"CAPE\" AND DEMOGRAPHIC.\"AGE\" < \"67\"", "question_refine_tok": ["what", "number", "of", "patients", "under", "the", "gae", "of", "67", "speak", "the", "language", "cape", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"LANGUAGE\"", "=", "\"CAPE\"", "AND", "DEMOGRAPHIC.\"AGE\"", "<", "\"67\""]}
{"key": "0bc3359131c7aaca9aa7f660a3b3a40e", "format": {"table": [0], "cond": [[0, 7, 0, "CAPE"], [0, 4, 2, 71]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients speak cape langiage and are under 71 years of age?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"LANGUAGE\" = \"CAPE\" AND DEMOGRAPHIC.\"AGE\" < \"71\"", "question_refine_tok": ["how", "many", "patients", "speak", "cape", "langiage", "and", "are", "under", "71", "years", "of", "age", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"LANGUAGE\"", "=", "\"CAPE\"", "AND", "DEMOGRAPHIC.\"AGE\"", "<", "\"71\""]}
{"key": "87c1857d7148bcb00305e281fadd20e7", "format": {"table": [0], "cond": [[0, 7, 0, "SPAN"], [0, 4, 2, 76]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "provide the number of patients aged below 76 years whose language is spanish.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"LANGUAGE\" = \"SPAN\" AND DEMOGRAPHIC.\"AGE\" < \"76\"", "question_refine_tok": ["provide", "the", "number", "of", "patients", "aged", "below", "76", "years", "whose", "language", "is", "spanish", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"LANGUAGE\"", "=", "\"SPAN\"", "AND", "DEMOGRAPHIC.\"AGE\"", "<", "\"76\""]}
{"key": "adf20b60a1fb5b796f72b749bee0e696", "format": {"table": [0], "cond": [[0, 7, 0, "ENGL"], [0, 4, 2, 31]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of patients younger than 31 years who prefer english language?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"LANGUAGE\" = \"ENGL\" AND DEMOGRAPHIC.\"AGE\" < \"31\"", "question_refine_tok": ["what", "is", "the", "number", "of", "patients", "younger", "than", "31", "years", "who", "prefer", "english", "language", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"LANGUAGE\"", "=", "\"ENGL\"", "AND", "DEMOGRAPHIC.\"AGE\"", "<", "\"31\""]}
{"key": "acc6b4b35378ea998962887cae1e1139", "format": {"table": [0], "cond": [[0, 7, 0, "PORT"], [0, 10, 1, 3]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many portuguese speaking patients stayed in hospital for more than 3 days?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"LANGUAGE\" = \"PORT\" AND DEMOGRAPHIC.\"DAYS_STAY\" > \"3\"", "question_refine_tok": ["how", "many", "portuguese", "speaking", "patients", "stayed", "in", "hospital", "for", "more", "than", "3", "days", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"LANGUAGE\"", "=", "\"PORT\"", "AND", "DEMOGRAPHIC.\"DAYS_STAY\"", ">", "\"3\""]}
{"key": "045c5269cdae83454d68e393e12c8658", "format": {"table": [0], "cond": [[0, 7, 0, "SPAN"], [0, 18, 2, 2071]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "give me the number of patients born before 2071 who prefer spanish language.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"LANGUAGE\" = \"SPAN\" AND DEMOGRAPHIC.\"DOB_YEAR\" < \"2071\"", "question_refine_tok": ["give", "me", "the", "number", "of", "patients", "born", "before", "2071", "who", "prefer", "spanish", "language", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"LANGUAGE\"", "=", "\"SPAN\"", "AND", "DEMOGRAPHIC.\"DOB_YEAR\"", "<", "\"2071\""]}
{"key": "08dd582acefd6cc3ce501b04fb54a915", "format": {"table": [0], "cond": [[0, 7, 0, "PTUN"], [0, 18, 2, 2066]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients born before the year 2066 speaks the language ptun?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"LANGUAGE\" = \"PTUN\" AND DEMOGRAPHIC.\"DOB_YEAR\" < \"2066\"", "question_refine_tok": ["how", "many", "patients", "born", "before", "the", "year", "2066", "speaks", "the", "language", "ptun", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"LANGUAGE\"", "=", "\"PTUN\"", "AND", "DEMOGRAPHIC.\"DOB_YEAR\"", "<", "\"2066\""]}
{"key": "9193cd16f584ed1da7296d33599c77c1", "format": {"table": [0], "cond": [[0, 7, 0, "PTUN"], [0, 19, 4, 2138.0]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients whose language is ptun died in or before the 2138?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"LANGUAGE\" = \"PTUN\" AND DEMOGRAPHIC.\"DOD_YEAR\" <= \"2138.0\"", "question_refine_tok": ["how", "many", "patients", "whose", "language", "is", "ptun", "died", "in", "or", "before", "the", "2138", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"LANGUAGE\"", "=", "\"PTUN\"", "AND", "DEMOGRAPHIC.\"DOD_YEAR\"", "<=", "\"2138.0\""]}
{"key": "066126e662a3003e041bd6974df0cc98", "format": {"table": [0], "cond": [[0, 8, 0, "CATHOLIC"], [0, 4, 2, 45]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many of the catholic patients were aged below 45?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"RELIGION\" = \"CATHOLIC\" AND DEMOGRAPHIC.\"AGE\" < \"45\"", "question_refine_tok": ["how", "many", "of", "the", "catholic", "patients", "were", "aged", "below", "45", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"RELIGION\"", "=", "\"CATHOLIC\"", "AND", "DEMOGRAPHIC.\"AGE\"", "<", "\"45\""]}
{"key": "a7c671e965437f33b28e21cf6bfe9e89", "format": {"table": [0], "cond": [[0, 8, 0, "GREEK ORTHODOX"], [0, 18, 2, 2085]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "find the number of greek orthodox religious background patients who were born before 2085.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"RELIGION\" = \"GREEK ORTHODOX\" AND DEMOGRAPHIC.\"DOB_YEAR\" < \"2085\"", "question_refine_tok": ["find", "the", "number", "of", "greek", "orthodox", "religious", "background", "patients", "who", "were", "born", "before", "2085", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"RELIGION\"", "=", "\"GREEK", "ORTHODOX\"", "AND", "DEMOGRAPHIC.\"DOB_YEAR\"", "<", "\"2085\""]}
{"key": "82715ac803ef686d617d271292dcf551", "format": {"table": [0], "cond": [[0, 8, 0, "CATHOLIC"], [0, 18, 2, 1846]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients born before the year 1846 followed the catholic religion?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"RELIGION\" = \"CATHOLIC\" AND DEMOGRAPHIC.\"DOB_YEAR\" < \"1846\"", "question_refine_tok": ["how", "many", "patients", "born", "before", "the", "year", "1846", "followed", "the", "catholic", "religion", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"RELIGION\"", "=", "\"CATHOLIC\"", "AND", "DEMOGRAPHIC.\"DOB_YEAR\"", "<", "\"1846\""]}
{"key": "93e5a26d56fc80b963506bc71b380d70", "format": {"table": [0], "cond": [[0, 9, 0, "ELECTIVE"], [0, 11, 0, "Government"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "give me the number of government health insurance patients who had elective hospital admission.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ADMISSION_TYPE\" = \"ELECTIVE\" AND DEMOGRAPHIC.\"INSURANCE\" = \"Government\"", "question_refine_tok": ["give", "me", "the", "number", "of", "government", "health", "insurance", "patients", "who", "had", "elective", "hospital", "admission", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ADMISSION_TYPE\"", "=", "\"ELECTIVE\"", "AND", "DEMOGRAPHIC.\"INSURANCE\"", "=", "\"Government\""]}
{"key": "815b0971ecad8500060f8ad3fc3df9a9", "format": {"table": [0], "cond": [[0, 9, 0, "ELECTIVE"], [0, 11, 0, "Medicaid"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many elective hospital admission patients have medicaid health insurance?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ADMISSION_TYPE\" = \"ELECTIVE\" AND DEMOGRAPHIC.\"INSURANCE\" = \"Medicaid\"", "question_refine_tok": ["how", "many", "elective", "hospital", "admission", "patients", "have", "medicaid", "health", "insurance", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ADMISSION_TYPE\"", "=", "\"ELECTIVE\"", "AND", "DEMOGRAPHIC.\"INSURANCE\"", "=", "\"Medicaid\""]}
{"key": "ac75d8f182635ee20767a8e379757555", "format": {"table": [0], "cond": [[0, 9, 0, "NEWBORN"], [0, 11, 0, "Self Pay"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "tell me the number of newborn admitted patients who have self pay insurance.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ADMISSION_TYPE\" = \"NEWBORN\" AND DEMOGRAPHIC.\"INSURANCE\" = \"Self Pay\"", "question_refine_tok": ["tell", "me", "the", "number", "of", "newborn", "admitted", "patients", "who", "have", "self", "pay", "insurance", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ADMISSION_TYPE\"", "=", "\"NEWBORN\"", "AND", "DEMOGRAPHIC.\"INSURANCE\"", "=", "\"Self", "Pay\""]}
{"key": "0e8fd2d722e37743ae80d2f8b9c7a3f0", "format": {"table": [0], "cond": [[0, 9, 0, "EMERGENCY"], [0, 12, 0, "HISPANIC/LATINO - PUERTO RICAN"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients who had an emergency admission belong to hispanic/latino - puerto rican ethnic background?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ADMISSION_TYPE\" = \"EMERGENCY\" AND DEMOGRAPHIC.\"ETHNICITY\" = \"HISPANIC/LATINO - PUERTO RICAN\"", "question_refine_tok": ["how", "many", "patients", "who", "had", "an", "emergency", "admission", "belong", "to", "hispanic", "/", "latino", "-", "puerto", "rican", "ethnic", "background", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ADMISSION_TYPE\"", "=", "\"EMERGENCY\"", "AND", "DEMOGRAPHIC.\"ETHNICITY\"", "=", "\"HISPANIC/LATINO", "-", "PUERTO", "RICAN\""]}
{"key": "a918a0036b56f9087c0676932fa13024", "format": {"table": [0], "cond": [[0, 9, 0, "ELECTIVE"], [0, 15, 0, "HOME HEALTH CARE"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients with elective admission type were discharged at home health care?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ADMISSION_TYPE\" = \"ELECTIVE\" AND DEMOGRAPHIC.\"DISCHARGE_LOCATION\" = \"HOME HEALTH CARE\"", "question_refine_tok": ["how", "many", "patients", "with", "elective", "admission", "type", "were", "discharged", "at", "home", "health", "care", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ADMISSION_TYPE\"", "=", "\"ELECTIVE\"", "AND", "DEMOGRAPHIC.\"DISCHARGE_LOCATION\"", "=", "\"HOME", "HEALTH", "CARE\""]}
{"key": "88918368bee11a289ddd9a04f1958b6b", "format": {"table": [0], "cond": [[0, 9, 0, "ELECTIVE"], [0, 16, 0, "CORONARY ARTERY DISEASE"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "get me the number of elective hospital admission patients who had coronary artery primary disease.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ADMISSION_TYPE\" = \"ELECTIVE\" AND DEMOGRAPHIC.\"DIAGNOSIS\" = \"CORONARY ARTERY DISEASE\"", "question_refine_tok": ["get", "me", "the", "number", "of", "elective", "hospital", "admission", "patients", "who", "had", "coronary", "artery", "primary", "disease", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ADMISSION_TYPE\"", "=", "\"ELECTIVE\"", "AND", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"CORONARY", "ARTERY", "DISEASE\""]}
{"key": "806722d7337a441a746d2477d440c867", "format": {"table": [0], "cond": [[0, 9, 0, "ELECTIVE"], [0, 16, 0, "ABDOMINAL ABSCESS"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "give the number of patients whose admission type is elective and primary disease is abdominal abscess.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ADMISSION_TYPE\" = \"ELECTIVE\" AND DEMOGRAPHIC.\"DIAGNOSIS\" = \"ABDOMINAL ABSCESS\"", "question_refine_tok": ["give", "the", "number", "of", "patients", "whose", "admission", "type", "is", "elective", "and", "primary", "disease", "is", "abdominal", "abscess", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ADMISSION_TYPE\"", "=", "\"ELECTIVE\"", "AND", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"ABDOMINAL", "ABSCESS\""]}
{"key": "a667eb8609a76490ddbf55b5c12e3695", "format": {"table": [0], "cond": [[0, 9, 0, "EMERGENCY"], [0, 16, 0, "GANGRENE"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of emergency hospital admission patients who have gangrene primary disease.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ADMISSION_TYPE\" = \"EMERGENCY\" AND DEMOGRAPHIC.\"DIAGNOSIS\" = \"GANGRENE\"", "question_refine_tok": ["count", "the", "number", "of", "emergency", "hospital", "admission", "patients", "who", "have", "gangrene", "primary", "disease", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ADMISSION_TYPE\"", "=", "\"EMERGENCY\"", "AND", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"GANGRENE\""]}
{"key": "84c856c06f729524fdc4905b0fd4a68b", "format": {"table": [0], "cond": [[0, 9, 0, "EMERGENCY"], [0, 16, 0, "CORONARY ARTERY DISEASE\\CORONARY ARTERY BYPASS GRAFT WITH MVR; ? MAZE"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients are admitted under emergency and diagnosed with primary disease coronary artery disease\\coronary artery bypass graft with mvr; ? maze?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ADMISSION_TYPE\" = \"EMERGENCY\" AND DEMOGRAPHIC.\"DIAGNOSIS\" = \"CORONARY ARTERY DISEASE\\CORONARY ARTERY BYPASS GRAFT WITH MVR; ? MAZE\"", "question_refine_tok": ["how", "many", "patients", "are", "admitted", "under", "emergency", "and", "diagnosed", "with", "primary", "disease", "coronary", "artery", "disease\\coronary", "artery", "bypass", "graft", "with", "mvr", ";", "?", "maze", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ADMISSION_TYPE\"", "=", "\"EMERGENCY\"", "AND", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"CORONARY", "ARTERY", "DISEASE\\CORONARY", "ARTERY", "BYPASS", "GRAFT", "WITH", "MVR;", "?", "MAZE\""]}
{"key": "935237d31f785ead710a5b2124d19370", "format": {"table": [0], "cond": [[0, 9, 0, "NEWBORN"], [0, 10, 1, 10]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of newborn admission patients who have more than 10 days of hospital stay.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ADMISSION_TYPE\" = \"NEWBORN\" AND DEMOGRAPHIC.\"DAYS_STAY\" > \"10\"", "question_refine_tok": ["count", "the", "number", "of", "newborn", "admission", "patients", "who", "have", "more", "than", "10", "days", "of", "hospital", "stay", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ADMISSION_TYPE\"", "=", "\"NEWBORN\"", "AND", "DEMOGRAPHIC.\"DAYS_STAY\"", ">", "\"10\""]}
{"key": "83d2f2439a19c3bac564156d4d7f0f20", "format": {"table": [0], "cond": [[0, 9, 0, "URGENT"], [0, 18, 2, 2074]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "provide the number of patients admitted in urgent care who were born before 2074.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ADMISSION_TYPE\" = \"URGENT\" AND DEMOGRAPHIC.\"DOB_YEAR\" < \"2074\"", "question_refine_tok": ["provide", "the", "number", "of", "patients", "admitted", "in", "urgent", "care", "who", "were", "born", "before", "2074", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ADMISSION_TYPE\"", "=", "\"URGENT\"", "AND", "DEMOGRAPHIC.\"DOB_YEAR\"", "<", "\"2074\""]}
{"key": "8284b2149ec8c5df761d2ceca3c5ba18", "format": {"table": [0], "cond": [[0, 9, 0, "ELECTIVE"], [0, 18, 2, 2076]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many elective hospital admission patients were born before the year 2076?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ADMISSION_TYPE\" = \"ELECTIVE\" AND DEMOGRAPHIC.\"DOB_YEAR\" < \"2076\"", "question_refine_tok": ["how", "many", "elective", "hospital", "admission", "patients", "were", "born", "before", "the", "year", "2076", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ADMISSION_TYPE\"", "=", "\"ELECTIVE\"", "AND", "DEMOGRAPHIC.\"DOB_YEAR\"", "<", "\"2076\""]}
{"key": "94fac89f564ff4ef5cafb4d446f7035d", "format": {"table": [0], "cond": [[0, 9, 0, "EMERGENCY"], [0, 18, 2, 2066]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of patients whose admission type is emergency and born before 2066?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ADMISSION_TYPE\" = \"EMERGENCY\" AND DEMOGRAPHIC.\"DOB_YEAR\" < \"2066\"", "question_refine_tok": ["what", "is", "the", "number", "of", "patients", "whose", "admission", "type", "is", "emergency", "and", "born", "before", "2066", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ADMISSION_TYPE\"", "=", "\"EMERGENCY\"", "AND", "DEMOGRAPHIC.\"DOB_YEAR\"", "<", "\"2066\""]}
{"key": "840d704cc763acd72fab4ae0efe35a9f", "format": {"table": [0], "cond": [[0, 9, 0, "URGENT"], [0, 22, 2, 2190]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of patients whose admission type is urgent and who were admitted before 2190.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ADMISSION_TYPE\" = \"URGENT\" AND DEMOGRAPHIC.\"ADMITYEAR\" < \"2190\"", "question_refine_tok": ["count", "the", "number", "of", "patients", "whose", "admission", "type", "is", "urgent", "and", "who", "were", "admitted", "before", "2190", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ADMISSION_TYPE\"", "=", "\"URGENT\"", "AND", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2190\""]}
{"key": "0516cfb3db509987e51368563ba0504e", "format": {"table": [0], "cond": [[0, 9, 0, "URGENT"], [0, 22, 2, 2194]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": " find the number of urgent hospital admission patients before the year 2194.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ADMISSION_TYPE\" = \"URGENT\" AND DEMOGRAPHIC.\"ADMITYEAR\" < \"2194\"", "question_refine_tok": [" ", "find", "the", "number", "of", "urgent", "hospital", "admission", "patients", "before", "the", "year", "2194", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ADMISSION_TYPE\"", "=", "\"URGENT\"", "AND", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2194\""]}
{"key": "9cfe1b1262ebc011c0cd636a6bd1b9f7", "format": {"table": [0], "cond": [[0, 9, 0, "ELECTIVE"], [0, 22, 2, 2108]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "calculate the total number of patients on elective admission in the year less than 2108", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ADMISSION_TYPE\" = \"ELECTIVE\" AND DEMOGRAPHIC.\"ADMITYEAR\" < \"2108\"", "question_refine_tok": ["calculate", "the", "total", "number", "of", "patients", "on", "elective", "admission", "in", "the", "year", "less", "than", "2108"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ADMISSION_TYPE\"", "=", "\"ELECTIVE\"", "AND", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2108\""]}
{"key": "04f2d8289f6c164c281c05e3fc7f3940", "format": {"table": [0], "cond": [[0, 9, 0, "EMERGENCY"], [0, 22, 2, 2163]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients are admitted in emergency and admitted before the year 2163?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ADMISSION_TYPE\" = \"EMERGENCY\" AND DEMOGRAPHIC.\"ADMITYEAR\" < \"2163\"", "question_refine_tok": ["how", "many", "patients", "are", "admitted", "in", "emergency", "and", "admitted", "before", "the", "year", "2163", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ADMISSION_TYPE\"", "=", "\"EMERGENCY\"", "AND", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2163\""]}
{"key": "89473cb3b3eaa62d3a19fba9185e42e7", "format": {"table": [0, 1], "cond": [[0, 9, 0, "EMERGENCY"], [1, 2, 0, "E8798"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of emergency room admitted patients who have diagnosis icd9 code e8798?", "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.\"ICD9_CODE\" = \"E8798\"", "question_refine_tok": ["what", "is", "the", "number", "of", "emergency", "room", "admitted", "patients", "who", "have", "diagnosis", "icd9", "code", "e8798", "?"], "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.\"ICD9_CODE\"", "=", "\"E8798\""]}
{"key": "9de47dece6861ec239f5b445048e5d34", "format": {"table": [0, 1], "cond": [[0, 9, 0, "ELECTIVE"], [1, 2, 0, "V453"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of elective hospital admission patients who have diagnoses icd9 code v453?", "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\" = \"V453\"", "question_refine_tok": ["what", "is", "the", "number", "of", "elective", "hospital", "admission", "patients", "who", "have", "diagnoses", "icd9", "code", "v453", "?"], "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\"", "=", "\"V453\""]}
{"key": "0e8f81d1242cdc9c96139d18dd974c45", "format": {"table": [0, 1], "cond": [[0, 9, 0, "URGENT"], [1, 2, 0, "2948"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients admitted on urgent basis have diagnoses icd9 code 2948?", "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\" = \"2948\"", "question_refine_tok": ["how", "many", "patients", "admitted", "on", "urgent", "basis", "have", "diagnoses", "icd9", "code", "2948", "?"], "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\"", "=", "\"2948\""]}
{"key": "8069c7ebf4da69cc765ce168571b8678", "format": {"table": [0, 1], "cond": [[0, 9, 0, "URGENT"], [1, 4, 0, "Acute salpingitis and oophoritis"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "find the number of urgent hospital admission patients who have acute salpingitis and oophoritis 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.\"LONG_TITLE\" = \"Acute salpingitis and oophoritis\"", "question_refine_tok": ["find", "the", "number", "of", "urgent", "hospital", "admission", "patients", "who", "have", "acute", "salpingitis", "and", "oophoritis", "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.\"LONG_TITLE\"", "=", "\"Acute", "salpingitis", "and", "oophoritis\""]}
{"key": "006ea048ce601c09ed3c998b3cbd55c7", "format": {"table": [0, 1], "cond": [[0, 9, 0, "URGENT"], [1, 4, 0, "Ostium secundum type atrial septal defect"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients on urgent admission were diagnosed with ostium secundum type atrial septal defect?", "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\" = \"Ostium secundum type atrial septal defect\"", "question_refine_tok": ["how", "many", "patients", "on", "urgent", "admission", "were", "diagnosed", "with", "ostium", "secundum", "type", "atrial", "septal", "defect", "?"], "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\"", "=", "\"Ostium", "secundum", "type", "atrial", "septal", "defect\""]}
{"key": "a6ad761e37a208e191433f57667b024c", "format": {"table": [0, 2], "cond": [[0, 9, 0, "URGENT"], [2, 2, 0, 17]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "provide the number of patients whose admission type is urgent and procedure icd9 code is 17.", "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\" = \"17\"", "question_refine_tok": ["provide", "the", "number", "of", "patients", "whose", "admission", "type", "is", "urgent", "and", "procedure", "icd9", "code", "is", "17", "."], "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\"", "=", "\"17\""]}
{"key": "975738dc9e601e98b319b82487686ed4", "format": {"table": [0, 2], "cond": [[0, 9, 0, "ELECTIVE"], [2, 2, 0, 540]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "provide the number of patients with elective admission type under 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.\"ADMISSION_TYPE\" = \"ELECTIVE\" AND PROCEDURES.\"ICD9_CODE\" = \"540\"", "question_refine_tok": ["provide", "the", "number", "of", "patients", "with", "elective", "admission", "type", "under", "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.\"ADMISSION_TYPE\"", "=", "\"ELECTIVE\"", "AND", "PROCEDURES.\"ICD9_CODE\"", "=", "\"540\""]}
{"key": "86960807966ab11fb4a31cae186af57a", "format": {"table": [0, 2], "cond": [[0, 9, 0, "EMERGENCY"], [2, 2, 0, 331]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of emergency hospital admission patients who had procedure icd9 code 331.", "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\" = \"331\"", "question_refine_tok": ["count", "the", "number", "of", "emergency", "hospital", "admission", "patients", "who", "had", "procedure", "icd9", "code", "331", "."], "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\"", "=", "\"331\""]}
{"key": "025b440ef65e624fc7920b8ac9bc6519", "format": {"table": [0, 2], "cond": [[0, 9, 0, "URGENT"], [2, 3, 0, "Abdomen artery incision"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many of the patients had abdomen artery incision on urgent admission?", "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\" = \"Abdomen artery incision\"", "question_refine_tok": ["how", "many", "of", "the", "patients", "had", "abdomen", "artery", "incision", "on", "urgent", "admission", "?"], "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\"", "=", "\"Abdomen", "artery", "incision\""]}
{"key": "0b17981f6cdd40e964a9ba229f5ea2db", "format": {"table": [0, 2], "cond": [[0, 9, 0, "URGENT"], [2, 3, 0, "Form cutan ileoureterost"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients were admitted urgently and had formation of cutaneous uretero-ileostomy procedure?", "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\" = \"Form cutan ileoureterost\"", "question_refine_tok": ["how", "many", "patients", "were", "admitted", "urgently", "and", "had", "formation", "of", "cutaneous", "uretero", "-", "ileostomy", "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\"", "=", "\"URGENT\"", "AND", "PROCEDURES.\"SHORT_TITLE\"", "=", "\"Form", "cutan", "ileoureterost\""]}
{"key": "02327044ff1e866a680fa88cc4de37af", "format": {"table": [0, 2], "cond": [[0, 9, 0, "URGENT"], [2, 3, 0, "Percu gastrojejunostomy"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients are admitted under urgent admission type and underwent percu gastrojejunostomy?", "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\" = \"Percu gastrojejunostomy\"", "question_refine_tok": ["how", "many", "patients", "are", "admitted", "under", "urgent", "admission", "type", "and", "underwent", "percu", "gastrojejunostomy", "?"], "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\"", "=", "\"Percu", "gastrojejunostomy\""]}
{"key": "a619d5854b9eb9d0df34539f613cafc4", "format": {"table": [0, 2], "cond": [[0, 9, 0, "EMERGENCY"], [2, 3, 0, "Insert 2 vascular stents"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "give me the number of emergency hospital admission patients who had insertion of 2 vascular stents.", "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\" = \"Insert 2 vascular stents\"", "question_refine_tok": ["give", "me", "the", "number", "of", "emergency", "hospital", "admission", "patients", "who", "had", "insertion", "of", "2", "vascular", "stents", "."], "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\"", "=", "\"Insert", "2", "vascular", "stents\""]}
{"key": "a61b003ff5bafba8ea45aa2853f939f7", "format": {"table": [0, 2], "cond": [[0, 9, 0, "URGENT"], [2, 4, 0, "Venous catheterization for renal dialysis"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "specify the total number of patients who had urgent admission due to venous catheterization for renal dialysis", "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\" = \"Venous catheterization for renal dialysis\"", "question_refine_tok": ["specify", "the", "total", "number", "of", "patients", "who", "had", "urgent", "admission", "due", "to", "venous", "catheterization", "for", "renal", "dialysis"], "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\"", "=", "\"Venous", "catheterization", "for", "renal", "dialysis\""]}
{"key": "b9ddbce5fe38a4b01105bb7fdc218772", "format": {"table": [0, 2], "cond": [[0, 9, 0, "ELECTIVE"], [2, 4, 0, "Attachment of pedicle or flap graft to other sites"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of patients whose admission type is elective and procedure long title is attachment of pedicle or flap graft to other sites.", "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\" = \"Attachment of pedicle or flap graft to other sites\"", "question_refine_tok": ["count", "the", "number", "of", "patients", "whose", "admission", "type", "is", "elective", "and", "procedure", "long", "title", "is", "attachment", "of", "pedicle", "or", "flap", "graft", "to", "other", "sites", "."], "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\"", "=", "\"Attachment", "of", "pedicle", "or", "flap", "graft", "to", "other", "sites\""]}
{"key": "045957f351a876adb124b29b739d0638", "format": {"table": [0, 2], "cond": [[0, 9, 0, "ELECTIVE"], [2, 4, 0, "Other operations on heart and pericardium"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients with  elective admission type had the procedure titled other operations on heart and pericardium?", "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\" = \"Other operations on heart and pericardium\"", "question_refine_tok": ["how", "many", "patients", "with", " ", "elective", "admission", "type", "had", "the", "procedure", "titled", "other", "operations", "on", "heart", "and", "pericardium", "?"], "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\"", "=", "\"Other", "operations", "on", "heart", "and", "pericardium\""]}
{"key": "8314ff25189b1cf1389172288628eccb", "format": {"table": [0, 3], "cond": [[0, 9, 0, "EMERGENCY"], [3, 3, 0, "MAIN"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of emergency hospital admission patients who are taking main drug type prescription.", "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_TYPE\" = \"MAIN\"", "question_refine_tok": ["count", "the", "number", "of", "emergency", "hospital", "admission", "patients", "who", "are", "taking", "main", "drug", "type", "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\"", "=", "\"EMERGENCY\"", "AND", "PRESCRIPTIONS.\"DRUG_TYPE\"", "=", "\"MAIN\""]}
{"key": "ad0c2ee55406703b73c20f92102a868d", "format": {"table": [0, 3], "cond": [[0, 9, 0, "EMERGENCY"], [3, 4, 0, "Docusate Sodium"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "let me know the number of emergency hospital admission patients who have docusate sodium prescription.", "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\" = \"Docusate Sodium\"", "question_refine_tok": ["let", "me", "know", "the", "number", "of", "emergency", "hospital", "admission", "patients", "who", "have", "docusate", "sodium", "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\"", "=", "\"EMERGENCY\"", "AND", "PRESCRIPTIONS.\"DRUG\"", "=", "\"Docusate", "Sodium\""]}
{"key": "a59c2fe7f918bb9e3f87dfd11186b2e7", "format": {"table": [0, 3], "cond": [[0, 9, 0, "URGENT"], [3, 4, 0, "D5W (EXCEL BAG)"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "to how many patients on urgent admission was d5w (excel bag) administered?", "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\" = \"D5W (EXCEL BAG)\"", "question_refine_tok": ["to", "how", "many", "patients", "on", "urgent", "admission", "was", "d5w", "(", "excel", "bag", ")", "administered", "?"], "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\"", "=", "\"D5W", "(EXCEL", "BAG)\""]}
{"key": "8186696c78815c25591204220af03a90", "format": {"table": [0, 3], "cond": [[0, 9, 0, "EMERGENCY"], [3, 5, 0, "GLYC1R"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "find the number of patients admitted in emergency whose drug code is glyc1r.", "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.\"FORMULARY_DRUG_CD\" = \"GLYC1R\"", "question_refine_tok": ["find", "the", "number", "of", "patients", "admitted", "in", "emergency", "whose", "drug", "code", "is", "glyc1r", "."], "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.\"FORMULARY_DRUG_CD\"", "=", "\"GLYC1R\""]}
{"key": "a9235e22c8d073812cd26d2c8f638814", "format": {"table": [0, 3], "cond": [[0, 9, 0, "EMERGENCY"], [3, 5, 0, "ENOX80I"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what number of patients admitted in emergency had drug code enox80i?", "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.\"FORMULARY_DRUG_CD\" = \"ENOX80I\"", "question_refine_tok": ["what", "number", "of", "patients", "admitted", "in", "emergency", "had", "drug", "code", "enox80i", "?"], "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.\"FORMULARY_DRUG_CD\"", "=", "\"ENOX80I\""]}
{"key": "ab77dd480b1dc0b7cb1da0caf15a9068", "format": {"table": [0, 3], "cond": [[0, 9, 0, "URGENT"], [3, 6, 0, "IVPCA"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what number of patients admitted in urgent care had their route mentioned as ivpca?", "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\" = \"IVPCA\"", "question_refine_tok": ["what", "number", "of", "patients", "admitted", "in", "urgent", "care", "had", "their", "route", "mentioned", "as", "ivpca", "?"], "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\"", "=", "\"IVPCA\""]}
{"key": "91c5218be91466059b6ab55b5c9a214b", "format": {"table": [0, 3], "cond": [[0, 9, 0, "URGENT"], [3, 6, 0, "NEB"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many of the patients on urgent admission had neb thrapy?", "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\" = \"NEB\"", "question_refine_tok": ["how", "many", "of", "the", "patients", "on", "urgent", "admission", "had", "neb", "thrapy", "?"], "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\"", "=", "\"NEB\""]}
{"key": "814b08ced5bf2cfc63c311dd93979199", "format": {"table": [0, 3], "cond": [[0, 9, 0, "URGENT"], [3, 6, 0, "REPLACE"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "give me the number of urgent hospital admission patients who have replaced 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\" = \"URGENT\" AND PRESCRIPTIONS.\"ROUTE\" = \"REPLACE\"", "question_refine_tok": ["give", "me", "the", "number", "of", "urgent", "hospital", "admission", "patients", "who", "have", "replaced", "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\"", "=", "\"URGENT\"", "AND", "PRESCRIPTIONS.\"ROUTE\"", "=", "\"REPLACE\""]}
{"key": "07e91d222ec295e0af62c05e46fa5dc2", "format": {"table": [0, 4], "cond": [[0, 9, 0, "ELECTIVE"], [4, 2, 0, 51257]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many of the patients on elective admission had item id 51257?", "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\" = \"51257\"", "question_refine_tok": ["how", "many", "of", "the", "patients", "on", "elective", "admission", "had", "item", "i", "d", "51257", "?"], "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\"", "=", "\"51257\""]}
{"key": "a67acde1ffdd89fb4002c394789b52e8", "format": {"table": [0, 4], "cond": [[0, 9, 0, "EMERGENCY"], [4, 6, 0, "Magnesium"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many of the patients admitted to emergency had a lab test for magnesium level?", "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\" = \"Magnesium\"", "question_refine_tok": ["how", "many", "of", "the", "patients", "admitted", "to", "emergency", "had", "a", "lab", "test", "for", "magnesium", "level", "?"], "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\"", "=", "\"Magnesium\""]}
{"key": "a839ed0e465ef114e44b38b91da01604", "format": {"table": [0, 4], "cond": [[0, 9, 0, "URGENT"], [4, 7, 0, "Joint Fluid"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of urgent hospital admission patients for whom joint 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.\"FLUID\" = \"Joint Fluid\"", "question_refine_tok": ["what", "is", "the", "number", "of", "urgent", "hospital", "admission", "patients", "for", "whom", "joint", "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.\"FLUID\"", "=", "\"Joint", "Fluid\""]}
{"key": "0ff56098d8e667560ad6010a2bd49309", "format": {"table": [0, 4], "cond": [[0, 9, 0, "URGENT"], [4, 8, 0, "Chemistry"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of patients whose admission type is urgent and lab test category is chemistry.", "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.\"CATEGORY\" = \"Chemistry\"", "question_refine_tok": ["count", "the", "number", "of", "patients", "whose", "admission", "type", "is", "urgent", "and", "lab", "test", "category", "is", "chemistry", "."], "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.\"CATEGORY\"", "=", "\"Chemistry\""]}
{"key": "0e6c9aa4ec70962176e94cd1b787f404", "format": {"table": [0], "cond": [[0, 11, 0, "Private"], [0, 14, 0, "PHYS REFERRAL/NORMAL DELI"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "get me the number of private insurance patients who had phys referral/normal deli admission.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"INSURANCE\" = \"Private\" AND DEMOGRAPHIC.\"ADMISSION_LOCATION\" = \"PHYS REFERRAL/NORMAL DELI\"", "question_refine_tok": ["get", "me", "the", "number", "of", "private", "insurance", "patients", "who", "had", "phys", "referral", "/", "normal", "deli", "admission", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"INSURANCE\"", "=", "\"Private\"", "AND", "DEMOGRAPHIC.\"ADMISSION_LOCATION\"", "=", "\"PHYS", "REFERRAL/NORMAL", "DELI\""]}
{"key": "8752c40e2f19d9e0a8756d1c3c0d1e07", "format": {"table": [0], "cond": [[0, 11, 0, "Medicaid"], [0, 16, 0, "BRADYCARDIA"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of medicaid patients who have bradycardia primary disease.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"INSURANCE\" = \"Medicaid\" AND DEMOGRAPHIC.\"DIAGNOSIS\" = \"BRADYCARDIA\"", "question_refine_tok": ["count", "the", "number", "of", "medicaid", "patients", "who", "have", "bradycardia", "primary", "disease", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"INSURANCE\"", "=", "\"Medicaid\"", "AND", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"BRADYCARDIA\""]}
{"key": "09fd10713c941eab173ad347aa3286fb", "format": {"table": [0], "cond": [[0, 11, 0, "Self Pay"], [0, 10, 1, 23]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "provide the number of self pay insurance patients who were hospitalized for more than 23 days.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"INSURANCE\" = \"Self Pay\" AND DEMOGRAPHIC.\"DAYS_STAY\" > \"23\"", "question_refine_tok": ["provide", "the", "number", "of", "self", "pay", "insurance", "patients", "who", "were", "hospitalized", "for", "more", "than", "23", "days", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"INSURANCE\"", "=", "\"Self", "Pay\"", "AND", "DEMOGRAPHIC.\"DAYS_STAY\"", ">", "\"23\""]}
{"key": "01be4c9c27f9397745f08c89be7c083a", "format": {"table": [0], "cond": [[0, 11, 0, "Self Pay"], [0, 10, 1, 27]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of self pay insurance patients who were hospitalized for more than 27 days in hospital.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"INSURANCE\" = \"Self Pay\" AND DEMOGRAPHIC.\"DAYS_STAY\" > \"27\"", "question_refine_tok": ["count", "the", "number", "of", "self", "pay", "insurance", "patients", "who", "were", "hospitalized", "for", "more", "than", "27", "days", "in", "hospital", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"INSURANCE\"", "=", "\"Self", "Pay\"", "AND", "DEMOGRAPHIC.\"DAYS_STAY\"", ">", "\"27\""]}
{"key": "81b9fd8d1b452898ca8a528fc428fa72", "format": {"table": [0], "cond": [[0, 11, 0, "Self Pay"], [0, 10, 1, 29]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "get me the number of patients with self pay health insurance who were hospitalized for more than 29 days.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"INSURANCE\" = \"Self Pay\" AND DEMOGRAPHIC.\"DAYS_STAY\" > \"29\"", "question_refine_tok": ["get", "me", "the", "number", "of", "patients", "with", "self", "pay", "health", "insurance", "who", "were", "hospitalized", "for", "more", "than", "29", "days", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"INSURANCE\"", "=", "\"Self", "Pay\"", "AND", "DEMOGRAPHIC.\"DAYS_STAY\"", ">", "\"29\""]}
{"key": "0cbcd863e94c9c26d432776eda767c8d", "format": {"table": [0], "cond": [[0, 11, 0, "Private"], [0, 18, 2, 1887]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients are with private insurance and born before 1887?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"INSURANCE\" = \"Private\" AND DEMOGRAPHIC.\"DOB_YEAR\" < \"1887\"", "question_refine_tok": ["how", "many", "patients", "are", "with", "private", "insurance", "and", "born", "before", "1887", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"INSURANCE\"", "=", "\"Private\"", "AND", "DEMOGRAPHIC.\"DOB_YEAR\"", "<", "\"1887\""]}
{"key": "871063e662639cce420193023a6c7f6b", "format": {"table": [0, 1], "cond": [[0, 11, 0, "Medicare"], [1, 2, 0, "4168"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients have a medicare insurance policy and diagnosis icd9 code is 4168?", "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\" = \"4168\"", "question_refine_tok": ["how", "many", "patients", "have", "a", "medicare", "insurance", "policy", "and", "diagnosis", "icd9", "code", "is", "4168", "?"], "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\"", "=", "\"4168\""]}
{"key": "bb226002b8be8b3696ff60e0ab444621", "format": {"table": [0, 1], "cond": [[0, 11, 0, "Self Pay"], [1, 2, 0, "430"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of patients whose insurance is self pay and with diagnosis icd9 code 430?", "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.\"ICD9_CODE\" = \"430\"", "question_refine_tok": ["what", "is", "the", "number", "of", "patients", "whose", "insurance", "is", "self", "pay", "and", "with", "diagnosis", "icd9", "code", "430", "?"], "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.\"ICD9_CODE\"", "=", "\"430\""]}
{"key": "adc966b0bf7912a76c52b14c5f0fb98d", "format": {"table": [0, 1], "cond": [[0, 11, 0, "Private"], [1, 2, 0, "2769"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "find the number of patients whose insurance is private and diagnoses icd9 code is 2769.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"INSURANCE\" = \"Private\" AND DIAGNOSES.\"ICD9_CODE\" = \"2769\"", "question_refine_tok": ["find", "the", "number", "of", "patients", "whose", "insurance", "is", "private", "and", "diagnoses", "icd9", "code", "is", "2769", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"INSURANCE\"", "=", "\"Private\"", "AND", "DIAGNOSES.\"ICD9_CODE\"", "=", "\"2769\""]}
{"key": "012f63ae067eacd6c0e4afa9dae1aa7b", "format": {"table": [0, 1], "cond": [[0, 11, 0, "Self Pay"], [1, 2, 0, "33829"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "let me know the number of patients who have self pay insurance with diagnoses icd9 code 33829.", "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.\"ICD9_CODE\" = \"33829\"", "question_refine_tok": ["let", "me", "know", "the", "number", "of", "patients", "who", "have", "self", "pay", "insurance", "with", "diagnoses", "icd9", "code", "33829", "."], "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.\"ICD9_CODE\"", "=", "\"33829\""]}
{"key": "81b7536d96f8c6d71d6411b29f3e4531", "format": {"table": [0, 1], "cond": [[0, 11, 0, "Self Pay"], [1, 3, 0, "Hx of GI malignancy NOS"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "provide the number of patients whose insurance is self pay and whose diagnosis short title is hx of gi malignancy nos.", "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\" = \"Hx of GI malignancy NOS\"", "question_refine_tok": ["provide", "the", "number", "of", "patients", "whose", "insurance", "is", "self", "pay", "and", "whose", "diagnosis", "short", "title", "is", "hx", "of", "gi", "malignancy", "nos", "."], "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\"", "=", "\"Hx", "of", "GI", "malignancy", "NOS\""]}
{"key": "082284313a19eb529220fdbbf1676c91", "format": {"table": [0, 1], "cond": [[0, 11, 0, "Self Pay"], [1, 3, 0, "Crnry athrscl natve vssl"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many of the patients on self pay had coronary athrscl natve vessel?", "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\" = \"Crnry athrscl natve vssl\"", "question_refine_tok": ["how", "many", "of", "the", "patients", "on", "self", "pay", "had", "coronary", "athrscl", "natve", "vessel", "?"], "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\"", "=", "\"Crnry", "athrscl", "natve", "vssl\""]}
{"key": "808b921081a21617d1d649e86c33894e", "format": {"table": [0, 1], "cond": [[0, 11, 0, "Private"], [1, 4, 0, "Infectious mononucleosis"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "tell me the number of private health insurance patients who have infectious mononucleosis diagnoses.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"INSURANCE\" = \"Private\" AND DIAGNOSES.\"LONG_TITLE\" = \"Infectious mononucleosis\"", "question_refine_tok": ["tell", "me", "the", "number", "of", "private", "health", "insurance", "patients", "who", "have", "infectious", "mononucleosis", "diagnoses", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"INSURANCE\"", "=", "\"Private\"", "AND", "DIAGNOSES.\"LONG_TITLE\"", "=", "\"Infectious", "mononucleosis\""]}
{"key": "a8c9ccd4513aa68a86ef56e05609224e", "format": {"table": [0, 1], "cond": [[0, 11, 0, "Government"], [1, 4, 0, "Tietze's disease"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients with tietze's disease are insured by the 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\" = \"Tietze's disease\"", "question_refine_tok": ["how", "many", "patients", "with", "tietze", "'s", "disease", "are", "insured", "by", "the", "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\"", "=", "\"Tietze's", "disease\""]}
{"key": "a56bfe2c679c02acf5a3018461748064", "format": {"table": [0, 1], "cond": [[0, 11, 0, "Private"], [1, 4, 0, "Hematoma complicating a procedure"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "provide the number of patients whose insurance is private and diagnosis long title is hematoma complicating a procedure.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"INSURANCE\" = \"Private\" AND DIAGNOSES.\"LONG_TITLE\" = \"Hematoma complicating a procedure\"", "question_refine_tok": ["provide", "the", "number", "of", "patients", "whose", "insurance", "is", "private", "and", "diagnosis", "long", "title", "is", "hematoma", "complicating", "a", "procedure", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"INSURANCE\"", "=", "\"Private\"", "AND", "DIAGNOSES.\"LONG_TITLE\"", "=", "\"Hematoma", "complicating", "a", "procedure\""]}
{"key": "9114d1b703187b9a91eb49802885ee40", "format": {"table": [0, 1], "cond": [[0, 11, 0, "Medicaid"], [1, 4, 0, "Acute on chronic systolic heart failure"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "find the number of medicaid patients who are 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.\"INSURANCE\" = \"Medicaid\" AND DIAGNOSES.\"LONG_TITLE\" = \"Acute on chronic systolic heart failure\"", "question_refine_tok": ["find", "the", "number", "of", "medicaid", "patients", "who", "are", "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.\"INSURANCE\"", "=", "\"Medicaid\"", "AND", "DIAGNOSES.\"LONG_TITLE\"", "=", "\"Acute", "on", "chronic", "systolic", "heart", "failure\""]}
{"key": "bba8daf0dc3f5b30121ab621a4fd9572", "format": {"table": [0, 1], "cond": [[0, 11, 0, "Self Pay"], [1, 4, 0, "Blood in stool"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients posses self pay insurance and 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.\"INSURANCE\" = \"Self Pay\" AND DIAGNOSES.\"LONG_TITLE\" = \"Blood in stool\"", "question_refine_tok": ["how", "many", "patients", "posses", "self", "pay", "insurance", "and", "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.\"INSURANCE\"", "=", "\"Self", "Pay\"", "AND", "DIAGNOSES.\"LONG_TITLE\"", "=", "\"Blood", "in", "stool\""]}
{"key": "0bbcf8d324631dbcb4695ecf9f9355d6", "format": {"table": [0, 1], "cond": [[0, 11, 0, "Private"], [1, 4, 0, "Paraplegia"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients with a private insurance had the diagnosis long title paraplegia?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"INSURANCE\" = \"Private\" AND DIAGNOSES.\"LONG_TITLE\" = \"Paraplegia\"", "question_refine_tok": ["how", "many", "patients", "with", "a", "private", "insurance", "had", "the", "diagnosis", "long", "title", "paraplegia", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"INSURANCE\"", "=", "\"Private\"", "AND", "DIAGNOSES.\"LONG_TITLE\"", "=", "\"Paraplegia\""]}
{"key": "8a203c76dc335931b4d7ea505187d743", "format": {"table": [0, 2], "cond": [[0, 11, 0, "Private"], [2, 2, 0, 8960]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "give me the number of private insurance 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.\"INSURANCE\" = \"Private\" AND PROCEDURES.\"ICD9_CODE\" = \"8960\"", "question_refine_tok": ["give", "me", "the", "number", "of", "private", "insurance", "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.\"INSURANCE\"", "=", "\"Private\"", "AND", "PROCEDURES.\"ICD9_CODE\"", "=", "\"8960\""]}
{"key": "09b90c671f009a51f4e731381bad6f2a", "format": {"table": [0, 2], "cond": [[0, 11, 0, "Private"], [2, 2, 0, 8847]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients posses private insurance and followed the procedure icd9 code 8847?", "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.\"ICD9_CODE\" = \"8847\"", "question_refine_tok": ["how", "many", "patients", "posses", "private", "insurance", "and", "followed", "the", "procedure", "icd9", "code", "8847", "?"], "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.\"ICD9_CODE\"", "=", "\"8847\""]}
{"key": "9282ac3a193e0216224ba0aa27a09e60", "format": {"table": [0, 2], "cond": [[0, 11, 0, "Government"], [2, 2, 0, 2219]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many of the patients on government insurance had icd9 code 2219?", "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.\"ICD9_CODE\" = \"2219\"", "question_refine_tok": ["how", "many", "of", "the", "patients", "on", "government", "insurance", "had", "icd9", "code", "2219", "?"], "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.\"ICD9_CODE\"", "=", "\"2219\""]}
{"key": "95e21d3f8a09445ab0200ce36a3bb911", "format": {"table": [0, 2], "cond": [[0, 11, 0, "Medicaid"], [2, 2, 0, 331]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many of the patients on medicaid insurance had icd9 code 331?", "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.\"ICD9_CODE\" = \"331\"", "question_refine_tok": ["how", "many", "of", "the", "patients", "on", "medicaid", "insurance", "had", "icd9", "code", "331", "?"], "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.\"ICD9_CODE\"", "=", "\"331\""]}
{"key": "04ff81516b8b19802dbcca87e803a124", "format": {"table": [0, 2], "cond": [[0, 11, 0, "Medicaid"], [2, 2, 0, 7761]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of medicaid patients who have procedure icd9 code 7761?", "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.\"ICD9_CODE\" = \"7761\"", "question_refine_tok": ["what", "is", "the", "number", "of", "medicaid", "patients", "who", "have", "procedure", "icd9", "code", "7761", "?"], "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.\"ICD9_CODE\"", "=", "\"7761\""]}
{"key": "842458dd6b3386bf8dd16f590c85bc37", "format": {"table": [0, 2], "cond": [[0, 11, 0, "Medicare"], [2, 2, 0, 9703]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of medicare patients who have procedure icd9 code 9703?", "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.\"ICD9_CODE\" = \"9703\"", "question_refine_tok": ["what", "is", "the", "number", "of", "medicare", "patients", "who", "have", "procedure", "icd9", "code", "9703", "?"], "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.\"ICD9_CODE\"", "=", "\"9703\""]}
{"key": "0415c705636a594e54167a885bafecb1", "format": {"table": [0, 2], "cond": [[0, 11, 0, "Private"], [2, 3, 0, "Abdomen artery incision"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "provide the number of private insurance patients who had incision of abdomen artery.", "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\" = \"Abdomen artery incision\"", "question_refine_tok": ["provide", "the", "number", "of", "private", "insurance", "patients", "who", "had", "incision", "of", "abdomen", "artery", "."], "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\"", "=", "\"Abdomen", "artery", "incision\""]}
{"key": "0e642608874d252c87210c63bfff9aba", "format": {"table": [0, 2], "cond": [[0, 11, 0, "Private"], [2, 3, 0, "Remov biliary/liver tube"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "provide the number of patients whose insurance is private and procedure short title is remov biliary/liver tube.", "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\" = \"Remov biliary/liver tube\"", "question_refine_tok": ["provide", "the", "number", "of", "patients", "whose", "insurance", "is", "private", "and", "procedure", "short", "title", "is", "remov", "biliary", "/", "liver", "tube", "."], "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\"", "=", "\"Remov", "biliary/liver", "tube\""]}
{"key": "02359f7d8f1cd2a818f4de4f9d1a3fab", "format": {"table": [0, 2], "cond": [[0, 11, 0, "Private"], [2, 4, 0, "Single internal mammary-coronary artery bypass"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "provide the number of private health insurance patients who have had single internal mammary-coronary artery bypass.", "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.\"LONG_TITLE\" = \"Single internal mammary-coronary artery bypass\"", "question_refine_tok": ["provide", "the", "number", "of", "private", "health", "insurance", "patients", "who", "have", "had", "single", "internal", "mammary", "-", "coronary", "artery", "bypass", "."], "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.\"LONG_TITLE\"", "=", "\"Single", "internal", "mammary-coronary", "artery", "bypass\""]}
{"key": "aa81098d9bbd712002641a023ad9c2ed", "format": {"table": [0, 2], "cond": [[0, 11, 0, "Government"], [2, 4, 0, "Laryngoscopy and other tracheoscopy"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of government health insurance patients who had laryngoscopy and other tracheoscopy 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\" = \"Laryngoscopy and other tracheoscopy\"", "question_refine_tok": ["what", "is", "the", "number", "of", "government", "health", "insurance", "patients", "who", "had", "laryngoscopy", "and", "other", "tracheoscopy", "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\"", "=", "\"Laryngoscopy", "and", "other", "tracheoscopy\""]}
{"key": "90caf4ef19c39af73c6c6a3f0c443dac", "format": {"table": [0, 2], "cond": [[0, 11, 0, "Government"], [2, 4, 0, "Other percutaneous procedures on biliary tract"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "provide the number of government health insurance patients who have other percutaneous procedures on biliary tract.", "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\" = \"Other percutaneous procedures on biliary tract\"", "question_refine_tok": ["provide", "the", "number", "of", "government", "health", "insurance", "patients", "who", "have", "other", "percutaneous", "procedures", "on", "biliary", "tract", "."], "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\"", "=", "\"Other", "percutaneous", "procedures", "on", "biliary", "tract\""]}
{"key": "875d499905399fac8bee24c2c3b53ad0", "format": {"table": [0, 2], "cond": [[0, 11, 0, "Medicaid"], [2, 4, 0, "Automatic implantable cardioverter/defibrillator (AICD) check"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of medicaid patients who have automatic implantable cardioverter/defibrillator (aicd) check 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.\"LONG_TITLE\" = \"Automatic implantable cardioverter/defibrillator (AICD) check\"", "question_refine_tok": ["what", "is", "the", "number", "of", "medicaid", "patients", "who", "have", "automatic", "implantable", "cardioverter", "/", "defibrillator", "(", "aicd", ")", "check", "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.\"LONG_TITLE\"", "=", "\"Automatic", "implantable", "cardioverter/defibrillator", "(AICD)", "check\""]}
{"key": "00ff7a671d3e218eaf9811d9294a2df5", "format": {"table": [0, 4], "cond": [[0, 11, 0, "Government"], [4, 6, 0, "Thyroid Stimulating Hormone"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients posses government insurance and tested for thyroid stimulating hormone in lab?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"INSURANCE\" = \"Government\" AND LAB.\"LABEL\" = \"Thyroid Stimulating Hormone\"", "question_refine_tok": ["how", "many", "patients", "posses", "government", "insurance", "and", "tested", "for", "thyroid", "stimulating", "hormone", "in", "lab", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"INSURANCE\"", "=", "\"Government\"", "AND", "LAB.\"LABEL\"", "=", "\"Thyroid", "Stimulating", "Hormone\""]}
{"key": "b9f1e03f8008107335da5fbe1f8b604f", "format": {"table": [0, 4], "cond": [[0, 11, 0, "Self Pay"], [4, 6, 0, "RBC, CSF"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "get me the number of self pay insurance patients who had rbc, csf lab test.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"INSURANCE\" = \"Self Pay\" AND LAB.\"LABEL\" = \"RBC, CSF\"", "question_refine_tok": ["get", "me", "the", "number", "of", "self", "pay", "insurance", "patients", "who", "had", "rbc", ",", "csf", "lab", "test", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"INSURANCE\"", "=", "\"Self", "Pay\"", "AND", "LAB.\"LABEL\"", "=", "\"RBC,", "CSF\""]}
{"key": "829b1b9874d4849cb5c8f0fbabd0373e", "format": {"table": [0, 4], "cond": [[0, 11, 0, "Government"], [4, 6, 0, "WBC, Joint Fluid"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of government health insurance patients who had wbc, 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.\"INSURANCE\" = \"Government\" AND LAB.\"LABEL\" = \"WBC, Joint Fluid\"", "question_refine_tok": ["count", "the", "number", "of", "government", "health", "insurance", "patients", "who", "had", "wbc", ",", "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.\"INSURANCE\"", "=", "\"Government\"", "AND", "LAB.\"LABEL\"", "=", "\"WBC,", "Joint", "Fluid\""]}
{"key": "019e08d2917352c1c6a6a5e59af70736", "format": {"table": [0, 4], "cond": [[0, 11, 0, "Government"], [4, 6, 0, "Hemoglobin"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of government health insurance patients who had hemoglobin lab test?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"INSURANCE\" = \"Government\" AND LAB.\"LABEL\" = \"Hemoglobin\"", "question_refine_tok": ["what", "is", "the", "number", "of", "government", "health", "insurance", "patients", "who", "had", "hemoglobin", "lab", "test", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"INSURANCE\"", "=", "\"Government\"", "AND", "LAB.\"LABEL\"", "=", "\"Hemoglobin\""]}
{"key": "03b293f7978766e73fdfb4285a540bd0", "format": {"table": [0, 4], "cond": [[0, 11, 0, "Self Pay"], [4, 6, 0, "Granular Casts"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many self pay insurance patients had granular casts lab test?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"INSURANCE\" = \"Self Pay\" AND LAB.\"LABEL\" = \"Granular Casts\"", "question_refine_tok": ["how", "many", "self", "pay", "insurance", "patients", "had", "granular", "casts", "lab", "test", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"INSURANCE\"", "=", "\"Self", "Pay\"", "AND", "LAB.\"LABEL\"", "=", "\"Granular", "Casts\""]}
{"key": "05cbfa2dbd0e6f14a3b99380a97d21e0", "format": {"table": [0, 4], "cond": [[0, 11, 0, "Self Pay"], [4, 6, 0, "Fibrin Degradation Products"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what number of patients had the lab test named fibrin degradation products and self paid the costs?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"INSURANCE\" = \"Self Pay\" AND LAB.\"LABEL\" = \"Fibrin Degradation Products\"", "question_refine_tok": ["what", "number", "of", "patients", "had", "the", "lab", "test", "named", "fibrin", "degradation", "products", "and", "self", "paid", "the", "costs", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"INSURANCE\"", "=", "\"Self", "Pay\"", "AND", "LAB.\"LABEL\"", "=", "\"Fibrin", "Degradation", "Products\""]}
{"key": "04dcc9195c39d775a4c8e4bbca95655d", "format": {"table": [0, 4], "cond": [[0, 11, 0, "Government"], [4, 6, 0, "NTproBNP"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "let me know the number of government health insurance patients who have ntprobnp lab test.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"INSURANCE\" = \"Government\" AND LAB.\"LABEL\" = \"NTproBNP\"", "question_refine_tok": ["let", "me", "know", "the", "number", "of", "government", "health", "insurance", "patients", "who", "have", "ntprobnp", "lab", "test", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"INSURANCE\"", "=", "\"Government\"", "AND", "LAB.\"LABEL\"", "=", "\"NTproBNP\""]}
{"key": "07163adde9ae1793367db811d58fcbd0", "format": {"table": [0, 4], "cond": [[0, 11, 0, "Private"], [4, 6, 0, "Ferritin"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "give the number of patients who have private insurance policy and who have had lab test ferritin done.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"INSURANCE\" = \"Private\" AND LAB.\"LABEL\" = \"Ferritin\"", "question_refine_tok": ["give", "the", "number", "of", "patients", "who", "have", "private", "insurance", "policy", "and", "who", "have", "had", "lab", "test", "ferritin", "done", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"INSURANCE\"", "=", "\"Private\"", "AND", "LAB.\"LABEL\"", "=", "\"Ferritin\""]}
{"key": "aac606c3fa8dda9c93ac0bf472a23557", "format": {"table": [0, 4], "cond": [[0, 11, 0, "Medicare"], [4, 6, 0, "Amylase, Body Fluid"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "find me the number of medicare patients for whome amylase, 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.\"INSURANCE\" = \"Medicare\" AND LAB.\"LABEL\" = \"Amylase, Body Fluid\"", "question_refine_tok": ["find", "me", "the", "number", "of", "medicare", "patients", "for", "whome", "amylase", ",", "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.\"INSURANCE\"", "=", "\"Medicare\"", "AND", "LAB.\"LABEL\"", "=", "\"Amylase,", "Body", "Fluid\""]}
{"key": "8e437a1d5319bc89ef8672cf6621f812", "format": {"table": [0, 4], "cond": [[0, 11, 0, "Government"], [4, 6, 0, "Ammonia"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients having government insurance have had ammonia lab test?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"INSURANCE\" = \"Government\" AND LAB.\"LABEL\" = \"Ammonia\"", "question_refine_tok": ["how", "many", "patients", "having", "government", "insurance", "have", "had", "ammonia", "lab", "test", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"INSURANCE\"", "=", "\"Government\"", "AND", "LAB.\"LABEL\"", "=", "\"Ammonia\""]}
{"key": "0248a48a1f8756d259a4bd33b86768dc", "format": {"table": [0], "cond": [[0, 12, 0, "BLACK/CAPE VERDEAN"], [0, 16, 0, "COLANGITIS"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients are with black/cape verdean ethnicity diagnosed with primary disease colangitis?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ETHNICITY\" = \"BLACK/CAPE VERDEAN\" AND DEMOGRAPHIC.\"DIAGNOSIS\" = \"COLANGITIS\"", "question_refine_tok": ["how", "many", "patients", "are", "with", "black", "/", "cape", "verdean", "ethnicity", "diagnosed", "with", "primary", "disease", "colangitis", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ETHNICITY\"", "=", "\"BLACK/CAPE", "VERDEAN\"", "AND", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"COLANGITIS\""]}
{"key": "9c0e1d982d6a14ff908ec2ba2546d3f1", "format": {"table": [0], "cond": [[0, 12, 0, "BLACK/CAPE VERDEAN"], [0, 16, 0, "FEMORAL ARTERY THROMBOSIS"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients belonging to black/cape verdean ethnic background have femoral artery thrombosis primary disease?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ETHNICITY\" = \"BLACK/CAPE VERDEAN\" AND DEMOGRAPHIC.\"DIAGNOSIS\" = \"FEMORAL ARTERY THROMBOSIS\"", "question_refine_tok": ["how", "many", "patients", "belonging", "to", "black", "/", "cape", "verdean", "ethnic", "background", "have", "femoral", "artery", "thrombosis", "primary", "disease", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ETHNICITY\"", "=", "\"BLACK/CAPE", "VERDEAN\"", "AND", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"FEMORAL", "ARTERY", "THROMBOSIS\""]}
{"key": "a82c32dbfebc44c734653dbb104baeef", "format": {"table": [0], "cond": [[0, 12, 0, "WHITE"], [0, 16, 0, "OVERDOSE"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many white patients had overdose as the primary disease?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ETHNICITY\" = \"WHITE\" AND DEMOGRAPHIC.\"DIAGNOSIS\" = \"OVERDOSE\"", "question_refine_tok": ["how", "many", "white", "patients", "had", "overdose", "as", "the", "primary", "disease", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ETHNICITY\"", "=", "\"WHITE\"", "AND", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"OVERDOSE\""]}
{"key": "10aa4541cd78d8f064a7a61f4407dd95", "format": {"table": [0], "cond": [[0, 12, 0, "AMERICAN INDIAN/ALASKA NATIVE"], [0, 16, 0, "FEMORAL ARTERY THROMBOSIS"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of patients whose ethnicity is american indian/alaska native and primary disease is femoral artery thrombosis.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ETHNICITY\" = \"AMERICAN INDIAN/ALASKA NATIVE\" AND DEMOGRAPHIC.\"DIAGNOSIS\" = \"FEMORAL ARTERY THROMBOSIS\"", "question_refine_tok": ["count", "the", "number", "of", "patients", "whose", "ethnicity", "is", "american", "indian", "/", "alaska", "native", "and", "primary", "disease", "is", "femoral", "artery", "thrombosis", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ETHNICITY\"", "=", "\"AMERICAN", "INDIAN/ALASKA", "NATIVE\"", "AND", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"FEMORAL", "ARTERY", "THROMBOSIS\""]}
{"key": "8762eb0a5667497e60e00c3d154d04a5", "format": {"table": [0], "cond": [[0, 12, 0, "AMERICAN INDIAN/ALASKA NATIVE"], [0, 16, 0, "INFECTED RIGHT THIGH GRAFT"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients with infected right thigh graft were of american indian/alaska native ethnicty?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ETHNICITY\" = \"AMERICAN INDIAN/ALASKA NATIVE\" AND DEMOGRAPHIC.\"DIAGNOSIS\" = \"INFECTED RIGHT THIGH GRAFT\"", "question_refine_tok": ["how", "many", "patients", "with", "infected", "right", "thigh", "graft", "were", "of", "american", "indian", "/", "alaska", "native", "ethnicty", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ETHNICITY\"", "=", "\"AMERICAN", "INDIAN/ALASKA", "NATIVE\"", "AND", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"INFECTED", "RIGHT", "THIGH", "GRAFT\""]}
{"key": "9719acc7d60a861e34e62a3ce13af41a", "format": {"table": [0], "cond": [[0, 12, 0, "ASIAN"], [0, 16, 0, "PNEUMONIA"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many asian patients have pneumonia primary disease?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ETHNICITY\" = \"ASIAN\" AND DEMOGRAPHIC.\"DIAGNOSIS\" = \"PNEUMONIA\"", "question_refine_tok": ["how", "many", "asian", "patients", "have", "pneumonia", "primary", "disease", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ETHNICITY\"", "=", "\"ASIAN\"", "AND", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"PNEUMONIA\""]}
{"key": "add9568e43f767016e132a36afb7ccdd", "format": {"table": [0], "cond": [[0, 12, 0, "ASIAN"], [0, 16, 0, "LIVER TRANSPLANT"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many asian patients had liver transplant as their primary disease?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ETHNICITY\" = \"ASIAN\" AND DEMOGRAPHIC.\"DIAGNOSIS\" = \"LIVER TRANSPLANT\"", "question_refine_tok": ["how", "many", "asian", "patients", "had", "liver", "transplant", "as", "their", "primary", "disease", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ETHNICITY\"", "=", "\"ASIAN\"", "AND", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"LIVER", "TRANSPLANT\""]}
{"key": "0b6038dee288554b4be4cbc7318d978e", "format": {"table": [0], "cond": [[0, 12, 0, "ASIAN"], [0, 4, 2, 50]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients are diagnosed with icd9 code 9600 and additive drug type?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ETHNICITY\" = \"ASIAN\" AND DEMOGRAPHIC.\"AGE\" < \"50\"", "question_refine_tok": ["how", "many", "patients", "are", "diagnosed", "with", "icd9", "code", "9600", "and", "additive", "drug", "type", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ETHNICITY\"", "=", "\"ASIAN\"", "AND", "DEMOGRAPHIC.\"AGE\"", "<", "\"50\""]}
{"key": "089d4aad2ec39bb2d761af30e107414a", "format": {"table": [0], "cond": [[0, 12, 0, "WHITE - RUSSIAN"], [0, 18, 2, 2103]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "get me the number of white-russian patients born before year 2103.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ETHNICITY\" = \"WHITE - RUSSIAN\" AND DEMOGRAPHIC.\"DOB_YEAR\" < \"2103\"", "question_refine_tok": ["get", "me", "the", "number", "of", "white", "-", "russian", "patients", "born", "before", "year", "2103", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ETHNICITY\"", "=", "\"WHITE", "-", "RUSSIAN\"", "AND", "DEMOGRAPHIC.\"DOB_YEAR\"", "<", "\"2103\""]}
{"key": "827507e01ab3afc178dc211fd3c77e6e", "format": {"table": [0], "cond": [[0, 12, 0, "AMERICAN INDIAN/ALASKA NATIVE"], [0, 18, 2, 2129]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients with american indian/alaska native ethnic background were born before 2129?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ETHNICITY\" = \"AMERICAN INDIAN/ALASKA NATIVE\" AND DEMOGRAPHIC.\"DOB_YEAR\" < \"2129\"", "question_refine_tok": ["how", "many", "patients", "with", "american", "indian", "/", "alaska", "native", "ethnic", "background", "were", "born", "before", "2129", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ETHNICITY\"", "=", "\"AMERICAN", "INDIAN/ALASKA", "NATIVE\"", "AND", "DEMOGRAPHIC.\"DOB_YEAR\"", "<", "\"2129\""]}
{"key": "033c6bc31c1e87fc2bd294982f5fe319", "format": {"table": [0], "cond": [[0, 12, 0, "AMERICAN INDIAN/ALASKA NATIVE"], [0, 22, 2, 2148]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many american indian/alaska native ethnic background patients were born before 2148?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ETHNICITY\" = \"AMERICAN INDIAN/ALASKA NATIVE\" AND DEMOGRAPHIC.\"ADMITYEAR\" < \"2148\"", "question_refine_tok": ["how", "many", "american", "indian", "/", "alaska", "native", "ethnic", "background", "patients", "were", "born", "before", "2148", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ETHNICITY\"", "=", "\"AMERICAN", "INDIAN/ALASKA", "NATIVE\"", "AND", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2148\""]}
{"key": "94d0be30fd59acfdb250295d59e23a84", "format": {"table": [0], "cond": [[0, 12, 0, "BLACK/HAITIAN"], [0, 22, 2, 2123]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many black/haitian patients were admitted in hospital before 2123?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ETHNICITY\" = \"BLACK/HAITIAN\" AND DEMOGRAPHIC.\"ADMITYEAR\" < \"2123\"", "question_refine_tok": ["how", "many", "black", "/", "haitian", "patients", "were", "admitted", "in", "hospital", "before", "2123", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ETHNICITY\"", "=", "\"BLACK/HAITIAN\"", "AND", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2123\""]}
{"key": "0f769f9a7f2c3f0370a0819fc352f161", "format": {"table": [0], "cond": [[0, 12, 0, "BLACK/HAITIAN"], [0, 22, 2, 2124]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "provide me the number of black/haitian patients who were admitted before the year 2124.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ETHNICITY\" = \"BLACK/HAITIAN\" AND DEMOGRAPHIC.\"ADMITYEAR\" < \"2124\"", "question_refine_tok": ["provide", "me", "the", "number", "of", "black", "/", "haitian", "patients", "who", "were", "admitted", "before", "the", "year", "2124", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ETHNICITY\"", "=", "\"BLACK/HAITIAN\"", "AND", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2124\""]}
{"key": "0dec664e1cf98dc3fc384816c4c72c8e", "format": {"table": [0], "cond": [[0, 12, 0, "ASIAN"], [0, 22, 2, 2110]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients are with asian ethnicity and admitted before the year 2110?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ETHNICITY\" = \"ASIAN\" AND DEMOGRAPHIC.\"ADMITYEAR\" < \"2110\"", "question_refine_tok": ["how", "many", "patients", "are", "with", "asian", "ethnicity", "and", "admitted", "before", "the", "year", "2110", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ETHNICITY\"", "=", "\"ASIAN\"", "AND", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2110\""]}
{"key": "05343cc69204da73ce2ac4ac4d8295bb", "format": {"table": [0, 1], "cond": [[0, 12, 0, "BLACK/HAITIAN"], [1, 2, 0, "2948"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "show me the number of black/haitian patients who were diagnosed under the diagnosis icd9 code 2948.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"ETHNICITY\" = \"BLACK/HAITIAN\" AND DIAGNOSES.\"ICD9_CODE\" = \"2948\"", "question_refine_tok": ["show", "me", "the", "number", "of", "black", "/", "haitian", "patients", "who", "were", "diagnosed", "under", "the", "diagnosis", "icd9", "code", "2948", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ETHNICITY\"", "=", "\"BLACK/HAITIAN\"", "AND", "DIAGNOSES.\"ICD9_CODE\"", "=", "\"2948\""]}
{"key": "060b7c924b230b79b3935a795cfaf37d", "format": {"table": [0, 1], "cond": [[0, 12, 0, "ASIAN"], [1, 4, 0, "Neutropenia, unspecified"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many of the asian patients had unspecified neutropenia?", "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\" = \"Neutropenia, unspecified\"", "question_refine_tok": ["how", "many", "of", "the", "asian", "patients", "had", "unspecified", "neutropenia", "?"], "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\"", "=", "\"Neutropenia,", "unspecified\""]}
{"key": "92780cb99869641eda47bd51e2817ff3", "format": {"table": [0, 2], "cond": [[0, 12, 0, "BLACK/HAITIAN"], [2, 2, 0, 8854]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients belonging to black/haitian ethnic background hav ethe procedure icd9 code 8854?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"ETHNICITY\" = \"BLACK/HAITIAN\" AND PROCEDURES.\"ICD9_CODE\" = \"8854\"", "question_refine_tok": ["how", "many", "patients", "belonging", "to", "black", "/", "haitian", "ethnic", "background", "hav", "ethe", "procedure", "icd9", "code", "8854", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ETHNICITY\"", "=", "\"BLACK/HAITIAN\"", "AND", "PROCEDURES.\"ICD9_CODE\"", "=", "\"8854\""]}
{"key": "ad8ddc87b6f78351e61ae2c8eb6d84c7", "format": {"table": [0, 2], "cond": [[0, 12, 0, "ASIAN"], [2, 4, 0, "Open and other replacement of aortic valve with tissue graft"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many asian patients underwent open and other replacement of aortic valve with tissue graft procedure?", "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.\"LONG_TITLE\" = \"Open and other replacement of aortic valve with tissue graft\"", "question_refine_tok": ["how", "many", "asian", "patients", "underwent", "open", "and", "other", "replacement", "of", "aortic", "valve", "with", "tissue", "graft", "procedure", "?"], "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.\"LONG_TITLE\"", "=", "\"Open", "and", "other", "replacement", "of", "aortic", "valve", "with", "tissue", "graft\""]}
{"key": "0c9f6eae00f98d18ac9f50768c7c5a86", "format": {"table": [0, 3], "cond": [[0, 12, 0, "ASIAN"], [3, 3, 0, "BASE"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many asian patients had a base drug type?", "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_TYPE\" = \"BASE\"", "question_refine_tok": ["how", "many", "asian", "patients", "had", "a", "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.\"ETHNICITY\"", "=", "\"ASIAN\"", "AND", "PRESCRIPTIONS.\"DRUG_TYPE\"", "=", "\"BASE\""]}
{"key": "81246894ba88abc13f0ae732be0ae33f", "format": {"table": [0, 3], "cond": [[0, 12, 0, "BLACK/HAITIAN"], [3, 4, 0, "Phenylephrine"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many black/haitian patients have phenylephrine medication prescription?", "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.\"DRUG\" = \"Phenylephrine\"", "question_refine_tok": ["how", "many", "black", "/", "haitian", "patients", "have", "phenylephrine", "medication", "prescription", "?"], "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.\"DRUG\"", "=", "\"Phenylephrine\""]}
{"key": "0c8330f32031377d2d0f4c9c05d1adae", "format": {"table": [0, 3], "cond": [[0, 12, 0, "ASIAN"], [3, 4, 0, "GlyBURIDE"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "provide the number of asian patients who are taking glyburide medication.", "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\" = \"GlyBURIDE\"", "question_refine_tok": ["provide", "the", "number", "of", "asian", "patients", "who", "are", "taking", "glyburide", "medication", "."], "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\"", "=", "\"GlyBURIDE\""]}
{"key": "96963b619664c6cb69c86c26538c79da", "format": {"table": [0, 3], "cond": [[0, 12, 0, "WHITE - RUSSIAN"], [3, 6, 0, "NEB"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of white-russian ethnic background patients with 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.\"ETHNICITY\" = \"WHITE - RUSSIAN\" AND PRESCRIPTIONS.\"ROUTE\" = \"NEB\"", "question_refine_tok": ["count", "the", "number", "of", "white", "-", "russian", "ethnic", "background", "patients", "with", "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.\"ETHNICITY\"", "=", "\"WHITE", "-", "RUSSIAN\"", "AND", "PRESCRIPTIONS.\"ROUTE\"", "=", "\"NEB\""]}
{"key": "0d1708a4f7f49d7baab81dc4dcb63832", "format": {"table": [0, 4], "cond": [[0, 12, 0, "WHITE"], [4, 6, 0, "Protein/Creatinine Ratio"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many white ethnic background patients had protein/creatinine ratio lab test?", "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\" = \"Protein/Creatinine Ratio\"", "question_refine_tok": ["how", "many", "white", "ethnic", "background", "patients", "had", "protein", "/", "creatinine", "ratio", "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\"", "=", "\"WHITE\"", "AND", "LAB.\"LABEL\"", "=", "\"Protein/Creatinine", "Ratio\""]}
{"key": "860ca98fdc1c9de35d4d8efdcef583ec", "format": {"table": [0], "cond": [[0, 13, 0, 1], [0, 16, 0, "T5 FRACTURE"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of patients whose death status is 1 and primary disease is t5 fracture.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"EXPIRE_FLAG\" = \"1\" AND DEMOGRAPHIC.\"DIAGNOSIS\" = \"T5 FRACTURE\"", "question_refine_tok": ["count", "the", "number", "of", "patients", "whose", "death", "status", "is", "1", "and", "primary", "disease", "is", "t5", "fracture", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"EXPIRE_FLAG\"", "=", "\"1\"", "AND", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"T5", "FRACTURE\""]}
{"key": "a098cd2cff8c0c939b8ee19c13e38c43", "format": {"table": [0], "cond": [[0, 13, 0, 1], [0, 16, 0, "ST ELEVATED MYOCARDIAL INFARCTION\\CARDIAC CATH"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "provide the number of patients whose death status is 1 and primary disease is st elevated myocardial infarction/cardiac cath.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"EXPIRE_FLAG\" = \"1\" AND DEMOGRAPHIC.\"DIAGNOSIS\" = \"ST ELEVATED MYOCARDIAL INFARCTION\\CARDIAC CATH\"", "question_refine_tok": ["provide", "the", "number", "of", "patients", "whose", "death", "status", "is", "1", "and", "primary", "disease", "is", "st", "elevated", "myocardial", "infarction", "/", "cardiac", "cath", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"EXPIRE_FLAG\"", "=", "\"1\"", "AND", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"ST", "ELEVATED", "MYOCARDIAL", "INFARCTION\\CARDIAC", "CATH\""]}
{"key": "8671bf636d2e0104446bd24670fb7189", "format": {"table": [0], "cond": [[0, 13, 0, 1], [0, 16, 0, "BRAIN MASS;INTRACRANIAL HEMORRHAGE"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of cead patients who had brain mass; intracranial hemorrhage?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"EXPIRE_FLAG\" = \"1\" AND DEMOGRAPHIC.\"DIAGNOSIS\" = \"BRAIN MASS;INTRACRANIAL HEMORRHAGE\"", "question_refine_tok": ["what", "is", "the", "number", "of", "cead", "patients", "who", "had", "brain", "mass", ";", "intracranial", "hemorrhage", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"EXPIRE_FLAG\"", "=", "\"1\"", "AND", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"BRAIN", "MASS;INTRACRANIAL", "HEMORRHAGE\""]}
{"key": "898baa9cfc011b6284b24d2cbc29209a", "format": {"table": [0], "cond": [[0, 13, 0, 1], [0, 16, 0, "LEFT FEMUR FRACTURE"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many dead patients had left femur fracture primary disease?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"EXPIRE_FLAG\" = \"1\" AND DEMOGRAPHIC.\"DIAGNOSIS\" = \"LEFT FEMUR FRACTURE\"", "question_refine_tok": ["how", "many", "dead", "patients", "had", "left", "femur", "fracture", "primary", "disease", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"EXPIRE_FLAG\"", "=", "\"1\"", "AND", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"LEFT", "FEMUR", "FRACTURE\""]}
{"key": "88309c7f731812aac8c0784535361b4e", "format": {"table": [0], "cond": [[0, 13, 0, 1], [0, 16, 0, "PITUITARY BLEED"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of patients who died of pituatary bleed.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"EXPIRE_FLAG\" = \"1\" AND DEMOGRAPHIC.\"DIAGNOSIS\" = \"PITUITARY BLEED\"", "question_refine_tok": ["count", "the", "number", "of", "patients", "who", "died", "of", "pituatary", "bleed", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"EXPIRE_FLAG\"", "=", "\"1\"", "AND", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"PITUITARY", "BLEED\""]}
{"key": "02ba408e52f64f06bc6b48bee70f2bda", "format": {"table": [0], "cond": [[0, 13, 0, 1], [0, 10, 1, 2]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients are with death status 1 and stayed in hospital above 2 days?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"EXPIRE_FLAG\" = \"1\" AND DEMOGRAPHIC.\"DAYS_STAY\" > \"2\"", "question_refine_tok": ["how", "many", "patients", "are", "with", "death", "status", "1", "and", "stayed", "in", "hospital", "above", "2", "days", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"EXPIRE_FLAG\"", "=", "\"1\"", "AND", "DEMOGRAPHIC.\"DAYS_STAY\"", ">", "\"2\""]}
{"key": "05b45f4c6bb925d5091172692b926676", "format": {"table": [0], "cond": [[0, 13, 0, 1], [0, 18, 2, 1837]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "find the number of patients born before the year 1837 who are no longer alive.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"EXPIRE_FLAG\" = \"1\" AND DEMOGRAPHIC.\"DOB_YEAR\" < \"1837\"", "question_refine_tok": ["find", "the", "number", "of", "patients", "born", "before", "the", "year", "1837", "who", "are", "no", "longer", "alive", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"EXPIRE_FLAG\"", "=", "\"1\"", "AND", "DEMOGRAPHIC.\"DOB_YEAR\"", "<", "\"1837\""]}
{"key": "a599dd4808509b599117b9956c19739c", "format": {"table": [0, 1], "cond": [[0, 13, 0, 0], [1, 2, 0, "5712"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "give the number of patients whose death status is 0 and diagnosis icd9 code is 5712.", "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\" = \"5712\"", "question_refine_tok": ["give", "the", "number", "of", "patients", "whose", "death", "status", "is", "0", "and", "diagnosis", "icd9", "code", "is", "5712", "."], "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\"", "=", "\"5712\""]}
{"key": "88bd504917d82cccd38ba49d6ab39d9d", "format": {"table": [0, 1], "cond": [[0, 13, 0, 0], [1, 2, 0, "29570"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "calculate the number of patients diagnosed with icd9 code 29570 whose death status is unspecified", "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\" = \"29570\"", "question_refine_tok": ["calculate", "the", "number", "of", "patients", "diagnosed", "with", "icd9", "code", "29570", "whose", "death", "status", "is", "unspecified"], "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\"", "=", "\"29570\""]}
{"key": "8902a02099712a8189d8bcf54a6d94de", "format": {"table": [0, 1], "cond": [[0, 13, 0, 1], [1, 2, 0, "5680"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients are with death status 1 and diagnosed with icd9 code 5680?", "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\" = \"5680\"", "question_refine_tok": ["how", "many", "patients", "are", "with", "death", "status", "1", "and", "diagnosed", "with", "icd9", "code", "5680", "?"], "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\"", "=", "\"5680\""]}
{"key": "87193d8860bf45c98f1c716149f06cb5", "format": {"table": [0, 1], "cond": [[0, 13, 0, 1], [1, 2, 0, "5733"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "find the number of dead patients who had 5733 diagnoses icd9 code.", "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\" = \"5733\"", "question_refine_tok": ["find", "the", "number", "of", "dead", "patients", "who", "had", "5733", "diagnoses", "icd9", "code", "."], "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\"", "=", "\"5733\""]}
{"key": "ac4859e6d068b8942b9b9fe02883dde2", "format": {"table": [0, 1], "cond": [[0, 13, 0, 1], [1, 3, 0, "Fall NOS"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "calculate the number of patients diagnosed with fall nos who have 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.\"SHORT_TITLE\" = \"Fall NOS\"", "question_refine_tok": ["calculate", "the", "number", "of", "patients", "diagnosed", "with", "fall", "nos", "who", "have", "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.\"SHORT_TITLE\"", "=", "\"Fall", "NOS\""]}
{"key": "06bbd920c4191e622346b9c33d8b0f43", "format": {"table": [0, 1], "cond": [[0, 13, 0, 0], [1, 4, 0, "Suicide and self-inflicted poisoning by analgesics, antipyretics, and antirheumatics"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of living patients diagnosed with suicide and self-inflicted poisoning by analgesics, antipyretics, and antirheumatics?", "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\" = \"Suicide and self-inflicted poisoning by analgesics, antipyretics, and antirheumatics\"", "question_refine_tok": ["what", "is", "the", "number", "of", "living", "patients", "diagnosed", "with", "suicide", "and", "self", "-", "inflicted", "poisoning", "by", "analgesics", ",", "antipyretics", ",", "and", "antirheumatics", "?"], "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\"", "=", "\"Suicide", "and", "self-inflicted", "poisoning", "by", "analgesics,", "antipyretics,", "and", "antirheumatics\""]}
{"key": "93769bf5b268fb4f529260ca8fc17c57", "format": {"table": [0, 1], "cond": [[0, 13, 0, 0], [1, 4, 0, "Chronic diastolic heart failure"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients are with death status 0 and with diagnosis chronic diastolic heart failure?", "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\" = \"Chronic diastolic heart failure\"", "question_refine_tok": ["how", "many", "patients", "are", "with", "death", "status", "0", "and", "with", "diagnosis", "chronic", "diastolic", "heart", "failure", "?"], "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\"", "=", "\"Chronic", "diastolic", "heart", "failure\""]}
{"key": "a8f8dda2d780d61747aee2d99f50e9fe", "format": {"table": [0, 2], "cond": [[0, 13, 0, 0], [2, 2, 0, 4610]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "provide me with the number of alive 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.\"EXPIRE_FLAG\" = \"0\" AND PROCEDURES.\"ICD9_CODE\" = \"4610\"", "question_refine_tok": ["provide", "me", "with", "the", "number", "of", "alive", "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.\"EXPIRE_FLAG\"", "=", "\"0\"", "AND", "PROCEDURES.\"ICD9_CODE\"", "=", "\"4610\""]}
{"key": "021ebbc73156e10c78d02f72ff647325", "format": {"table": [0, 2], "cond": [[0, 13, 0, 0], [2, 2, 0, 331]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of patients whose death status is 0 and procedure icd9 code is 331.", "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\" = \"331\"", "question_refine_tok": ["count", "the", "number", "of", "patients", "whose", "death", "status", "is", "0", "and", "procedure", "icd9", "code", "is", "331", "."], "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\"", "=", "\"331\""]}
{"key": "9d0a02bc7f100ba107192d6e44a9e695", "format": {"table": [0, 2], "cond": [[0, 13, 0, 0], [2, 2, 0, 5012]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients with a 5012 as the procedure icd9 code and whose 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.\"ICD9_CODE\" = \"5012\"", "question_refine_tok": ["how", "many", "patients", "with", "a", "5012", "as", "the", "procedure", "icd9", "code", "and", "whose", "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.\"ICD9_CODE\"", "=", "\"5012\""]}
{"key": "9debb2f0f6c08e2c0b547c27502c36b4", "format": {"table": [0, 2], "cond": [[0, 13, 0, 0], [2, 3, 0, "Int insert lead in vent"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "for how many patients with int insert lead in vent, death status is unspecified?", "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\" = \"Int insert lead in vent\"", "question_refine_tok": ["for", "how", "many", "patients", "with", "int", "insert", "lead", "in", "vent", ",", "death", "status", "is", "unspecified", "?"], "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\"", "=", "\"Int", "insert", "lead", "in", "vent\""]}
{"key": "0a997753f9229f659e7e05d541190484", "format": {"table": [0, 2], "cond": [[0, 13, 0, 0], [2, 3, 0, "Suture bladder lacerat"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "specify the total number of such patients who had suture bladder lacerat and their death status is unspecified", "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\" = \"Suture bladder lacerat\"", "question_refine_tok": ["specify", "the", "total", "number", "of", "such", "patients", "who", "had", "suture", "bladder", "lacerat", "and", "their", "death", "status", "is", "unspecified"], "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\"", "=", "\"Suture", "bladder", "lacerat\""]}
{"key": "061d620cdd89282af1d48f9a0f2d3931", "format": {"table": [0, 2], "cond": [[0, 13, 0, 0], [2, 4, 0, "Open biopsy of soft tissue"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "get the number of alive patients who underwent 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.\"EXPIRE_FLAG\" = \"0\" AND PROCEDURES.\"LONG_TITLE\" = \"Open biopsy of soft tissue\"", "question_refine_tok": ["get", "the", "number", "of", "alive", "patients", "who", "underwent", "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.\"EXPIRE_FLAG\"", "=", "\"0\"", "AND", "PROCEDURES.\"LONG_TITLE\"", "=", "\"Open", "biopsy", "of", "soft", "tissue\""]}
{"key": "aa87e8e508f6984831876860be1761df", "format": {"table": [0, 3], "cond": [[0, 13, 0, 1], [3, 4, 0, "Pantoprazole Sodium"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of dead patients who had prescription for pantoprazole sodium medication?", "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\" = \"Pantoprazole Sodium\"", "question_refine_tok": ["what", "is", "the", "number", "of", "dead", "patients", "who", "had", "prescription", "for", "pantoprazole", "sodium", "medication", "?"], "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\"", "=", "\"Pantoprazole", "Sodium\""]}
{"key": "08f97d12862b1090fe02850b15e4b5b9", "format": {"table": [0], "cond": [[0, 14, 0, "TRANSFER FROM HOSP/EXTRAM"], [0, 15, 0, "DISC-TRAN CANCER/CHLDRN H"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients' admission location is transfer from hosp/extram and discharge location is disc-tran cancer/chldrn h?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ADMISSION_LOCATION\" = \"TRANSFER FROM HOSP/EXTRAM\" AND DEMOGRAPHIC.\"DISCHARGE_LOCATION\" = \"DISC-TRAN CANCER/CHLDRN H\"", "question_refine_tok": ["how", "many", "patients", "'", "admission", "location", "is", "transfer", "from", "hosp", "/", "extram", "and", "discharge", "location", "is", "disc", "-", "tran", "cancer", "/", "chldrn", "h", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ADMISSION_LOCATION\"", "=", "\"TRANSFER", "FROM", "HOSP/EXTRAM\"", "AND", "DEMOGRAPHIC.\"DISCHARGE_LOCATION\"", "=", "\"DISC-TRAN", "CANCER/CHLDRN", "H\""]}
{"key": "806f6052bc99c1f5f8cb8a3215d3f8b2", "format": {"table": [0], "cond": [[0, 14, 0, "TRANSFER FROM HOSP/EXTRAM"], [0, 15, 0, "DEAD/EXPIRED"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many of the patients admitted or transfer from hosp/extram were dead or expired on discharge?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ADMISSION_LOCATION\" = \"TRANSFER FROM HOSP/EXTRAM\" AND DEMOGRAPHIC.\"DISCHARGE_LOCATION\" = \"DEAD/EXPIRED\"", "question_refine_tok": ["how", "many", "of", "the", "patients", "admitted", "or", "transfer", "from", "hosp", "/", "extram", "were", "dead", "or", "expired", "on", "discharge", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ADMISSION_LOCATION\"", "=", "\"TRANSFER", "FROM", "HOSP/EXTRAM\"", "AND", "DEMOGRAPHIC.\"DISCHARGE_LOCATION\"", "=", "\"DEAD/EXPIRED\""]}
{"key": "81d4b16c544ec88c25ad79af7eae050e", "format": {"table": [0], "cond": [[0, 14, 0, "TRSF WITHIN THIS FACILITY"], [0, 15, 0, "HOME"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of patients who were transferred within the facility and were discharged to home.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ADMISSION_LOCATION\" = \"TRSF WITHIN THIS FACILITY\" AND DEMOGRAPHIC.\"DISCHARGE_LOCATION\" = \"HOME\"", "question_refine_tok": ["count", "the", "number", "of", "patients", "who", "were", "transferred", "within", "the", "facility", "and", "were", "discharged", "to", "home", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ADMISSION_LOCATION\"", "=", "\"TRSF", "WITHIN", "THIS", "FACILITY\"", "AND", "DEMOGRAPHIC.\"DISCHARGE_LOCATION\"", "=", "\"HOME\""]}
{"key": "0625a832abfe55a8682577eedb38b824", "format": {"table": [0], "cond": [[0, 14, 0, "EMERGENCY ROOM ADMIT"], [0, 16, 0, "T5 FRACTURE"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of patients whose admission location is emergency room admit and with primary disease t5 fracture?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ADMISSION_LOCATION\" = \"EMERGENCY ROOM ADMIT\" AND DEMOGRAPHIC.\"DIAGNOSIS\" = \"T5 FRACTURE\"", "question_refine_tok": ["what", "is", "the", "number", "of", "patients", "whose", "admission", "location", "is", "emergency", "room", "admit", "and", "with", "primary", "disease", "t5", "fracture", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ADMISSION_LOCATION\"", "=", "\"EMERGENCY", "ROOM", "ADMIT\"", "AND", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"T5", "FRACTURE\""]}
{"key": "050ed27881bce414cfd05ba83a22a4d4", "format": {"table": [0], "cond": [[0, 14, 0, "EMERGENCY ROOM ADMIT"], [0, 10, 1, 4]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "provide the number of emergency room admitted patients who were hospitalized for more than 4 days.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ADMISSION_LOCATION\" = \"EMERGENCY ROOM ADMIT\" AND DEMOGRAPHIC.\"DAYS_STAY\" > \"4\"", "question_refine_tok": ["provide", "the", "number", "of", "emergency", "room", "admitted", "patients", "who", "were", "hospitalized", "for", "more", "than", "4", "days", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ADMISSION_LOCATION\"", "=", "\"EMERGENCY", "ROOM", "ADMIT\"", "AND", "DEMOGRAPHIC.\"DAYS_STAY\"", ">", "\"4\""]}
{"key": "0bc26b6c69c9bf3628430b1e23d18007", "format": {"table": [0], "cond": [[0, 14, 0, "TRSF WITHIN THIS FACILITY"], [0, 18, 2, 1879]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "calculate the number of patients born before 1879 ere tranferred within the facility.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ADMISSION_LOCATION\" = \"TRSF WITHIN THIS FACILITY\" AND DEMOGRAPHIC.\"DOB_YEAR\" < \"1879\"", "question_refine_tok": ["calculate", "the", "number", "of", "patients", "born", "before", "1879", "ere", "tranferred", "within", "the", "facility", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ADMISSION_LOCATION\"", "=", "\"TRSF", "WITHIN", "THIS", "FACILITY\"", "AND", "DEMOGRAPHIC.\"DOB_YEAR\"", "<", "\"1879\""]}
{"key": "015ae8de2f7597f3308e719345bd99de", "format": {"table": [0, 1], "cond": [[0, 14, 0, "EMERGENCY ROOM ADMIT"], [1, 3, 0, "Mixed acid-base bal dis"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients are admitted under emergency room and diagnosed with mixed acid-base bal dis?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"ADMISSION_LOCATION\" = \"EMERGENCY ROOM ADMIT\" AND DIAGNOSES.\"SHORT_TITLE\" = \"Mixed acid-base bal dis\"", "question_refine_tok": ["how", "many", "patients", "are", "admitted", "under", "emergency", "room", "and", "diagnosed", "with", "mixed", "acid", "-", "base", "bal", "dis", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMISSION_LOCATION\"", "=", "\"EMERGENCY", "ROOM", "ADMIT\"", "AND", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"Mixed", "acid-base", "bal", "dis\""]}
{"key": "a5daeaab175913c300dbbbb1206a9c4e", "format": {"table": [0, 2], "cond": [[0, 14, 0, "EMERGENCY ROOM ADMIT"], [2, 2, 0, 3799]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what number of patients admitted in emergency room had the procedure under procedure icd9 code 3799?", "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\" = \"3799\"", "question_refine_tok": ["what", "number", "of", "patients", "admitted", "in", "emergency", "room", "had", "the", "procedure", "under", "procedure", "icd9", "code", "3799", "?"], "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\"", "=", "\"3799\""]}
{"key": "87d8d820fb592e6d775688ce8e9e1e64", "format": {"table": [0, 2], "cond": [[0, 14, 0, "EMERGENCY ROOM ADMIT"], [2, 3, 0, "Arthrocentesis"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what number of patients were admitted in emergency room for arthrocentesis?", "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\" = \"Arthrocentesis\"", "question_refine_tok": ["what", "number", "of", "patients", "were", "admitted", "in", "emergency", "room", "for", "arthrocentesis", "?"], "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\"", "=", "\"Arthrocentesis\""]}
{"key": "abc509430b1d8d81c516286d740587c4", "format": {"table": [0], "cond": [[0, 15, 0, "SNF"], [0, 16, 0, "HYPOXIA"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients discharged to snf had hypoxia primary disease?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DISCHARGE_LOCATION\" = \"SNF\" AND DEMOGRAPHIC.\"DIAGNOSIS\" = \"HYPOXIA\"", "question_refine_tok": ["how", "many", "patients", "discharged", "to", "snf", "had", "hypoxia", "primary", "disease", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DISCHARGE_LOCATION\"", "=", "\"SNF\"", "AND", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"HYPOXIA\""]}
{"key": "a772fe669af1ccf30732303ee43d3e8e", "format": {"table": [0], "cond": [[0, 15, 0, "SNF"], [0, 16, 0, "ABDOMINAL PAIN"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of patients with abdominal pain primary disease who were discharged to snf?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DISCHARGE_LOCATION\" = \"SNF\" AND DEMOGRAPHIC.\"DIAGNOSIS\" = \"ABDOMINAL PAIN\"", "question_refine_tok": ["what", "is", "the", "number", "of", "patients", "with", "abdominal", "pain", "primary", "disease", "who", "were", "discharged", "to", "snf", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DISCHARGE_LOCATION\"", "=", "\"SNF\"", "AND", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"ABDOMINAL", "PAIN\""]}
{"key": "a684318d4cd02c2bb51bcd7d668f7cc9", "format": {"table": [0], "cond": [[0, 15, 0, "SNF"], [0, 16, 0, "COPD EXACERBATION"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "give me the number of patients with copd exacerbation primary disease who have been discharged to skilled nursing facility.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DISCHARGE_LOCATION\" = \"SNF\" AND DEMOGRAPHIC.\"DIAGNOSIS\" = \"COPD EXACERBATION\"", "question_refine_tok": ["give", "me", "the", "number", "of", "patients", "with", "copd", "exacerbation", "primary", "disease", "who", "have", "been", "discharged", "to", "skilled", "nursing", "facility", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DISCHARGE_LOCATION\"", "=", "\"SNF\"", "AND", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"COPD", "EXACERBATION\""]}
{"key": "1042fd78503d5845278fe1b06f681b2a", "format": {"table": [0], "cond": [[0, 15, 0, "DISCH-TRAN TO PSYCH HOSP"], [0, 16, 0, "RUQ PAIN"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients with ruq pain primary disease have been discharged to disch-tran to psych hosp?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DISCHARGE_LOCATION\" = \"DISCH-TRAN TO PSYCH HOSP\" AND DEMOGRAPHIC.\"DIAGNOSIS\" = \"RUQ PAIN\"", "question_refine_tok": ["how", "many", "patients", "with", "ruq", "pain", "primary", "disease", "have", "been", "discharged", "to", "disch", "-", "tran", "to", "psych", "hosp", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DISCHARGE_LOCATION\"", "=", "\"DISCH-TRAN", "TO", "PSYCH", "HOSP\"", "AND", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"RUQ", "PAIN\""]}
{"key": "00aeb9c1a1c154237887e8f3557273c0", "format": {"table": [0], "cond": [[0, 15, 0, "HOME HEALTH CARE"], [0, 4, 2, 27]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients aged below 27 year had a discharge locaiton home health?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DISCHARGE_LOCATION\" = \"HOME HEALTH CARE\" AND DEMOGRAPHIC.\"AGE\" < \"27\"", "question_refine_tok": ["how", "many", "patients", "aged", "below", "27", "year", "had", "a", "discharge", "locaiton", "home", "health", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DISCHARGE_LOCATION\"", "=", "\"HOME", "HEALTH", "CARE\"", "AND", "DEMOGRAPHIC.\"AGE\"", "<", "\"27\""]}
{"key": "8c509179c969a1bd8f152a3124083f4f", "format": {"table": [0], "cond": [[0, 15, 0, "SHORT TERM HOSPITAL"], [0, 4, 2, 64]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients are discharged due to short term hospital and are under the age 64?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DISCHARGE_LOCATION\" = \"SHORT TERM HOSPITAL\" AND DEMOGRAPHIC.\"AGE\" < \"64\"", "question_refine_tok": ["how", "many", "patients", "are", "discharged", "due", "to", "short", "term", "hospital", "and", "are", "under", "the", "age", "64", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DISCHARGE_LOCATION\"", "=", "\"SHORT", "TERM", "HOSPITAL\"", "AND", "DEMOGRAPHIC.\"AGE\"", "<", "\"64\""]}
{"key": "0ce7ffc2b0832d683b0873a75983ee3b", "format": {"table": [0], "cond": [[0, 15, 0, "HOME"], [0, 10, 1, 20]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of patients who were hospitalized for more than 20 days and were later discharged home?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DISCHARGE_LOCATION\" = \"HOME\" AND DEMOGRAPHIC.\"DAYS_STAY\" > \"20\"", "question_refine_tok": ["what", "is", "the", "number", "of", "patients", "who", "were", "hospitalized", "for", "more", "than", "20", "days", "and", "were", "later", "discharged", "home", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DISCHARGE_LOCATION\"", "=", "\"HOME\"", "AND", "DEMOGRAPHIC.\"DAYS_STAY\"", ">", "\"20\""]}
{"key": "0ee5fc38f74c5504524928e78a4f7e06", "format": {"table": [0], "cond": [[0, 15, 0, "LONG TERM CARE HOSPITAL"], [0, 18, 2, 2058]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients discharged to long term care hospital were born before 2058?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DISCHARGE_LOCATION\" = \"LONG TERM CARE HOSPITAL\" AND DEMOGRAPHIC.\"DOB_YEAR\" < \"2058\"", "question_refine_tok": ["how", "many", "patients", "discharged", "to", "long", "term", "care", "hospital", "were", "born", "before", "2058", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DISCHARGE_LOCATION\"", "=", "\"LONG", "TERM", "CARE", "HOSPITAL\"", "AND", "DEMOGRAPHIC.\"DOB_YEAR\"", "<", "\"2058\""]}
{"key": "0dc83447bac46f820dda4a5f23a89502", "format": {"table": [0], "cond": [[0, 15, 0, "SHORT TERM HOSPITAL"], [0, 18, 2, 2078]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients born before 2078 are discharged to short term hospital?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DISCHARGE_LOCATION\" = \"SHORT TERM HOSPITAL\" AND DEMOGRAPHIC.\"DOB_YEAR\" < \"2078\"", "question_refine_tok": ["how", "many", "patients", "born", "before", "2078", "are", "discharged", "to", "short", "term", "hospital", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DISCHARGE_LOCATION\"", "=", "\"SHORT", "TERM", "HOSPITAL\"", "AND", "DEMOGRAPHIC.\"DOB_YEAR\"", "<", "\"2078\""]}
{"key": "bb293bd6de2390ea5296f80618672cc4", "format": {"table": [0, 2], "cond": [[0, 15, 0, "DISC-TRAN CANCER/CHLDRN H"], [2, 2, 0, 8604]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of patients discharged-transfer to cancer/chlidren hospital who had icd9 code 8604?", "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.\"ICD9_CODE\" = \"8604\"", "question_refine_tok": ["what", "is", "the", "number", "of", "patients", "discharged", "-", "transfer", "to", "cancer", "/", "chlidren", "hospital", "who", "had", "icd9", "code", "8604", "?"], "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.\"ICD9_CODE\"", "=", "\"8604\""]}
{"key": "032ce153e9f7fd9bb58d2381e7473a96", "format": {"table": [0, 2], "cond": [[0, 15, 0, "LONG TERM CARE HOSPITAL"], [2, 2, 0, 9229]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many of the patients with icd9 code 9229 were discharged for long term care hospital?", "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.\"ICD9_CODE\" = \"9229\"", "question_refine_tok": ["how", "many", "of", "the", "patients", "with", "icd9", "code", "9229", "were", "discharged", "for", "long", "term", "care", "hospital", "?"], "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.\"ICD9_CODE\"", "=", "\"9229\""]}
{"key": "0bac3adfb0214ec24e28eb8a60c823a6", "format": {"table": [0, 2], "cond": [[0, 15, 0, "HOME"], [2, 3, 0, "Contrast arteriogram-leg"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients underwent the procedure contrast arteriogram-leg and were discharged to 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.\"SHORT_TITLE\" = \"Contrast arteriogram-leg\"", "question_refine_tok": ["how", "many", "patients", "underwent", "the", "procedure", "contrast", "arteriogram", "-", "leg", "and", "were", "discharged", "to", "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.\"SHORT_TITLE\"", "=", "\"Contrast", "arteriogram-leg\""]}
{"key": "04f6025046849b72bcf92ac808479159", "format": {"table": [0, 2], "cond": [[0, 15, 0, "HOME"], [2, 3, 0, "Skin closure NEC"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients were discharged to home after skin closure nec?", "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\" = \"Skin closure NEC\"", "question_refine_tok": ["how", "many", "patients", "were", "discharged", "to", "home", "after", "skin", "closure", "nec", "?"], "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\"", "=", "\"Skin", "closure", "NEC\""]}
{"key": "a84dd2cf945be1cd6281de749bbe8da4", "format": {"table": [0], "cond": [[0, 16, 0, "CORONARY ARTERY DISEASE\\CORONARY ARTERY BYPASS GRAFT /SDA"], [0, 4, 2, 89]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "give  the number of patients whose primary disease is coronary artery disease/coronary artery bypass graft/sda and who were aged below 89 years.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"CORONARY ARTERY DISEASE\\CORONARY ARTERY BYPASS GRAFT /SDA\" AND DEMOGRAPHIC.\"AGE\" < \"89\"", "question_refine_tok": ["give", " ", "the", "number", "of", "patients", "whose", "primary", "disease", "is", "coronary", "artery", "disease", "/", "coronary", "artery", "bypass", "graft", "/", "sda", "and", "who", "were", "aged", "below", "89", "years", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"CORONARY", "ARTERY", "DISEASE\\CORONARY", "ARTERY", "BYPASS", "GRAFT", "/SDA\"", "AND", "DEMOGRAPHIC.\"AGE\"", "<", "\"89\""]}
{"key": "8647b4ed3acbcdf65b6a3e4a003a5b5b", "format": {"table": [0], "cond": [[0, 16, 0, "FEMORAL ARTERY THROMBOSIS"], [0, 4, 2, 89]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of patients less than 89 years who are suffering from femoral artery thrombosis primaray disease?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"FEMORAL ARTERY THROMBOSIS\" AND DEMOGRAPHIC.\"AGE\" < \"89\"", "question_refine_tok": ["what", "is", "the", "number", "of", "patients", "less", "than", "89", "years", "who", "are", "suffering", "from", "femoral", "artery", "thrombosis", "primaray", "disease", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"FEMORAL", "ARTERY", "THROMBOSIS\"", "AND", "DEMOGRAPHIC.\"AGE\"", "<", "\"89\""]}
{"key": "aafae9c30494946bbd7ac56453a627b2", "format": {"table": [0], "cond": [[0, 16, 0, "OVERDOSE"], [0, 4, 2, 50]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients with primary disease overdose were less than 50 years of age?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"OVERDOSE\" AND DEMOGRAPHIC.\"AGE\" < \"50\"", "question_refine_tok": ["how", "many", "patients", "with", "primary", "disease", "overdose", "were", "less", "than", "50", "years", "of", "age", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"OVERDOSE\"", "AND", "DEMOGRAPHIC.\"AGE\"", "<", "\"50\""]}
{"key": "03e1872fa9f2244d449f2a0055cc0b8e", "format": {"table": [0], "cond": [[0, 16, 0, "UPPER GI BLEED"], [0, 4, 2, 51]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "give me the number of patients less than 51 years who have upper gi bleed primary disease.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"UPPER GI BLEED\" AND DEMOGRAPHIC.\"AGE\" < \"51\"", "question_refine_tok": ["give", "me", "the", "number", "of", "patients", "less", "than", "51", "years", "who", "have", "upper", "gi", "bleed", "primary", "disease", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"UPPER", "GI", "BLEED\"", "AND", "DEMOGRAPHIC.\"AGE\"", "<", "\"51\""]}
{"key": "06e87f96c060a82f8f490899e8cd2b2e", "format": {"table": [0], "cond": [[0, 16, 0, "ACIDOSIS"], [0, 4, 2, 79]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients are diagnosed with primary disease acidosis and are below 79 years of age?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"ACIDOSIS\" AND DEMOGRAPHIC.\"AGE\" < \"79\"", "question_refine_tok": ["how", "many", "patients", "are", "diagnosed", "with", "primary", "disease", "acidosis", "and", "are", "below", "79", "years", "of", "age", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"ACIDOSIS\"", "AND", "DEMOGRAPHIC.\"AGE\"", "<", "\"79\""]}
{"key": "884dc26a6654afe0e49736753edf0841", "format": {"table": [0], "cond": [[0, 16, 0, "STEMI"], [0, 4, 2, 20]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "provide the number of patients younger than 20 years who have stemi primary disease.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"STEMI\" AND DEMOGRAPHIC.\"AGE\" < \"20\"", "question_refine_tok": ["provide", "the", "number", "of", "patients", "younger", "than", "20", "years", "who", "have", "stemi", "primary", "disease", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"STEMI\"", "AND", "DEMOGRAPHIC.\"AGE\"", "<", "\"20\""]}
{"key": "9567d248d6d501760e7ebd8b722cb088", "format": {"table": [0], "cond": [[0, 16, 0, "CELO-VESSICLE FISTULA"], [0, 4, 2, 27]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients who are aged below 27 years had celo-vessicle fistula as the primary disease?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"CELO-VESSICLE FISTULA\" AND DEMOGRAPHIC.\"AGE\" < \"27\"", "question_refine_tok": ["how", "many", "patients", "who", "are", "aged", "below", "27", "years", "had", "celo", "-", "vessicle", "fistula", "as", "the", "primary", "disease", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"CELO-VESSICLE", "FISTULA\"", "AND", "DEMOGRAPHIC.\"AGE\"", "<", "\"27\""]}
{"key": "80aa8850eba943696abe768a98fb73a3", "format": {"table": [0], "cond": [[0, 16, 0, "SQUAMOUS CELL CARCINOMA ORAL TONGUE/SDA"], [0, 4, 2, 54]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "tell me the number of patients who are less than 54 years and have squamous cell carcinoma of oral tongue/sda.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"SQUAMOUS CELL CARCINOMA ORAL TONGUE/SDA\" AND DEMOGRAPHIC.\"AGE\" < \"54\"", "question_refine_tok": ["tell", "me", "the", "number", "of", "patients", "who", "are", "less", "than", "54", "years", "and", "have", "squamous", "cell", "carcinoma", "of", "oral", "tongue", "/", "sda", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"SQUAMOUS", "CELL", "CARCINOMA", "ORAL", "TONGUE/SDA\"", "AND", "DEMOGRAPHIC.\"AGE\"", "<", "\"54\""]}
{"key": "871de8f4f83e7d3c523502445f3264de", "format": {"table": [0], "cond": [[0, 16, 0, "HYPERGLYCEMIA"], [0, 4, 2, 56]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of patients less than 56 years who have hyperglycemia primary disease?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"HYPERGLYCEMIA\" AND DEMOGRAPHIC.\"AGE\" < \"56\"", "question_refine_tok": ["what", "is", "the", "number", "of", "patients", "less", "than", "56", "years", "who", "have", "hyperglycemia", "primary", "disease", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"HYPERGLYCEMIA\"", "AND", "DEMOGRAPHIC.\"AGE\"", "<", "\"56\""]}
{"key": "804d61ea251779e8ec9d8f758e134a6d", "format": {"table": [0], "cond": [[0, 16, 0, "CELO-VESSICLE FISTULA"], [0, 4, 2, 45]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients aged below 45 years had celo-vessicle fistula?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"CELO-VESSICLE FISTULA\" AND DEMOGRAPHIC.\"AGE\" < \"45\"", "question_refine_tok": ["how", "many", "patients", "aged", "below", "45", "years", "had", "celo", "-", "vessicle", "fistula", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"CELO-VESSICLE", "FISTULA\"", "AND", "DEMOGRAPHIC.\"AGE\"", "<", "\"45\""]}
{"key": "95729f0dfd914c9590bd8c1e29b1c9b9", "format": {"table": [0], "cond": [[0, 16, 0, "LIVER TRANSPLANT"], [0, 4, 2, 85]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of patients less than 85 years who have liver transplant primary disease?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"LIVER TRANSPLANT\" AND DEMOGRAPHIC.\"AGE\" < \"85\"", "question_refine_tok": ["what", "is", "the", "number", "of", "patients", "less", "than", "85", "years", "who", "have", "liver", "transplant", "primary", "disease", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"LIVER", "TRANSPLANT\"", "AND", "DEMOGRAPHIC.\"AGE\"", "<", "\"85\""]}
{"key": "02c3ab63ce702e2e06cc08185f7d8025", "format": {"table": [0], "cond": [[0, 16, 0, "CONGESTIVE HEART FAILURE"], [0, 10, 1, 13]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients with congestive heart failure stayed in the hospital for more than 13 days?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"CONGESTIVE HEART FAILURE\" AND DEMOGRAPHIC.\"DAYS_STAY\" > \"13\"", "question_refine_tok": ["how", "many", "patients", "with", "congestive", "heart", "failure", "stayed", "in", "the", "hospital", "for", "more", "than", "13", "days", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"CONGESTIVE", "HEART", "FAILURE\"", "AND", "DEMOGRAPHIC.\"DAYS_STAY\"", ">", "\"13\""]}
{"key": "06028c07e07182afdd1e9c62a1543c56", "format": {"table": [0], "cond": [[0, 16, 0, "NEWBORN"], [0, 10, 1, 29]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many new born patients stayed in the hospital for more than 29 days?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"NEWBORN\" AND DEMOGRAPHIC.\"DAYS_STAY\" > \"29\"", "question_refine_tok": ["how", "many", "new", "born", "patients", "stayed", "in", "the", "hospital", "for", "more", "than", "29", "days", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"NEWBORN\"", "AND", "DEMOGRAPHIC.\"DAYS_STAY\"", ">", "\"29\""]}
{"key": "88d8bcd981e64d9f4392bbe153ef2896", "format": {"table": [0], "cond": [[0, 16, 0, "CHEST PAIN"], [0, 18, 2, 1837]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what number of patients diagnosed primarily for chest pain were born before the year 1837?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"CHEST PAIN\" AND DEMOGRAPHIC.\"DOB_YEAR\" < \"1837\"", "question_refine_tok": ["what", "number", "of", "patients", "diagnosed", "primarily", "for", "chest", "pain", "were", "born", "before", "the", "year", "1837", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"CHEST", "PAIN\"", "AND", "DEMOGRAPHIC.\"DOB_YEAR\"", "<", "\"1837\""]}
{"key": "83587912882a86d7dca07f32f4e56949", "format": {"table": [0], "cond": [[0, 16, 0, "CEREBRAL ANEURYSM/SDA"], [0, 18, 2, 2126]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients with cerebral aneurysm/sda as primary disease were born in the year less than 2126?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"CEREBRAL ANEURYSM/SDA\" AND DEMOGRAPHIC.\"DOB_YEAR\" < \"2126\"", "question_refine_tok": ["how", "many", "patients", "with", "cerebral", "aneurysm", "/", "sda", "as", "primary", "disease", "were", "born", "in", "the", "year", "less", "than", "2126", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"CEREBRAL", "ANEURYSM/SDA\"", "AND", "DEMOGRAPHIC.\"DOB_YEAR\"", "<", "\"2126\""]}
{"key": "8b3f3fcfe4d5fcfe1568a36890cfc580", "format": {"table": [0], "cond": [[0, 16, 0, "UPPER GI BLEED"], [0, 18, 2, 2076]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "get me the number of patients with upper gi bleed who were born before 2076?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"UPPER GI BLEED\" AND DEMOGRAPHIC.\"DOB_YEAR\" < \"2076\"", "question_refine_tok": ["get", "me", "the", "number", "of", "patients", "with", "upper", "gi", "bleed", "who", "were", "born", "before", "2076", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"UPPER", "GI", "BLEED\"", "AND", "DEMOGRAPHIC.\"DOB_YEAR\"", "<", "\"2076\""]}
{"key": "0d83c52fc4822a82a4ebf2428e18c0fa", "format": {"table": [0], "cond": [[0, 16, 0, "HYPERGLYCEMIA"], [0, 18, 2, 2167]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients born before the year 2167 were primarily diagnosed for hyperglycemia?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"HYPERGLYCEMIA\" AND DEMOGRAPHIC.\"DOB_YEAR\" < \"2167\"", "question_refine_tok": ["how", "many", "patients", "born", "before", "the", "year", "2167", "were", "primarily", "diagnosed", "for", "hyperglycemia", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"HYPERGLYCEMIA\"", "AND", "DEMOGRAPHIC.\"DOB_YEAR\"", "<", "\"2167\""]}
{"key": "0a884e78aa02a74579bcb18489ef1b06", "format": {"table": [0], "cond": [[0, 16, 0, "S/P HANGING"], [0, 18, 2, 2123]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "provide the number of patients born before 2123 who have s/p hanging primary disease.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"S/P HANGING\" AND DEMOGRAPHIC.\"DOB_YEAR\" < \"2123\"", "question_refine_tok": ["provide", "the", "number", "of", "patients", "born", "before", "2123", "who", "have", "s", "/", "p", "hanging", "primary", "disease", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"S/P", "HANGING\"", "AND", "DEMOGRAPHIC.\"DOB_YEAR\"", "<", "\"2123\""]}
{"key": "0a3dc5c21d8ffc3c23a92fb8702dc0d3", "format": {"table": [0], "cond": [[0, 16, 0, "COPD EXACERBATION"], [0, 19, 4, 2158.0]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "find out the number of patients with copd exacerbation primary disease who died in or before 2158.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"COPD EXACERBATION\" AND DEMOGRAPHIC.\"DOD_YEAR\" <= \"2158.0\"", "question_refine_tok": ["find", "out", "the", "number", "of", "patients", "with", "copd", "exacerbation", "primary", "disease", "who", "died", "in", "or", "before", "2158", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"COPD", "EXACERBATION\"", "AND", "DEMOGRAPHIC.\"DOD_YEAR\"", "<=", "\"2158.0\""]}
{"key": "072772efb616023608b5eb3921bc36bb", "format": {"table": [0], "cond": [[0, 16, 0, "NEWBORN"], [0, 19, 4, 2122.0]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many of the newborn patients died in the year less than or equal to 2122?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"NEWBORN\" AND DEMOGRAPHIC.\"DOD_YEAR\" <= \"2122.0\"", "question_refine_tok": ["how", "many", "of", "the", "newborn", "patients", "died", "in", "the", "year", "less", "than", "or", "equal", "to", "2122", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"NEWBORN\"", "AND", "DEMOGRAPHIC.\"DOD_YEAR\"", "<=", "\"2122.0\""]}
{"key": "844e56db40ebdffe688da456b2860342", "format": {"table": [0], "cond": [[0, 16, 0, "LEFT INTERNAL JUGULAR VEIN THROMBOSIS;LEFT ARM EDEMA"], [0, 19, 4, 2179.0]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "provide me the number of patients born on or before 2179 who have left internal jugular vein thrombosis; left arm edema primary disease.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"LEFT INTERNAL JUGULAR VEIN THROMBOSIS;LEFT ARM EDEMA\" AND DEMOGRAPHIC.\"DOD_YEAR\" <= \"2179.0\"", "question_refine_tok": ["provide", "me", "the", "number", "of", "patients", "born", "on", "or", "before", "2179", "who", "have", "left", "internal", "jugular", "vein", "thrombosis", ";", "left", "arm", "edema", "primary", "disease", "."], "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\"", "<=", "\"2179.0\""]}
{"key": "867a534f015f32479c12b96fb31876a8", "format": {"table": [0], "cond": [[0, 16, 0, "FEMORAL ARTERY THROMBOSIS"], [0, 19, 4, 2154.0]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "give the number of patients who passed away in or before the year 2154 had femoral artery thrombosis.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"FEMORAL ARTERY THROMBOSIS\" AND DEMOGRAPHIC.\"DOD_YEAR\" <= \"2154.0\"", "question_refine_tok": ["give", "the", "number", "of", "patients", "who", "passed", "away", "in", "or", "before", "the", "year", "2154", "had", "femoral", "artery", "thrombosis", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"FEMORAL", "ARTERY", "THROMBOSIS\"", "AND", "DEMOGRAPHIC.\"DOD_YEAR\"", "<=", "\"2154.0\""]}
{"key": "0be50e80b5be87e0c4395c5608c9d39f", "format": {"table": [0], "cond": [[0, 16, 0, "SYNCOPE;TELEMETRY"], [0, 19, 4, 2158.0]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "look for the number of patients with primary disease syncope; telemetry who died on or before 2158.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"SYNCOPE;TELEMETRY\" AND DEMOGRAPHIC.\"DOD_YEAR\" <= \"2158.0\"", "question_refine_tok": ["look", "for", "the", "number", "of", "patients", "with", "primary", "disease", "syncope", ";", "telemetry", "who", "died", "on", "or", "before", "2158", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"SYNCOPE;TELEMETRY\"", "AND", "DEMOGRAPHIC.\"DOD_YEAR\"", "<=", "\"2158.0\""]}
{"key": "009aa4759afa218e175bb02341f17f70", "format": {"table": [0], "cond": [[0, 16, 0, "SYNCOPE;TELEMETRY"], [0, 19, 4, 2179.0]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients whose primary disease was syncope;telemetry died in or before year 2179?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"SYNCOPE;TELEMETRY\" AND DEMOGRAPHIC.\"DOD_YEAR\" <= \"2179.0\"", "question_refine_tok": ["how", "many", "patients", "whose", "primary", "disease", "was", "syncope;telemetry", "died", "in", "or", "before", "year", "2179", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"SYNCOPE;TELEMETRY\"", "AND", "DEMOGRAPHIC.\"DOD_YEAR\"", "<=", "\"2179.0\""]}
{"key": "09984e6569fc8c58f0b5fc16e38e3dd6", "format": {"table": [0], "cond": [[0, 16, 0, "CONGESTIVE HEART FAILURE"], [0, 19, 4, 2115.0]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "among patients who died in the year less than or equal to 2115, how many of them had congestive heart failure as primary disease?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"CONGESTIVE HEART FAILURE\" AND DEMOGRAPHIC.\"DOD_YEAR\" <= \"2115.0\"", "question_refine_tok": ["among", "patients", "who", "died", "in", "the", "year", "less", "than", "or", "equal", "to", "2115", ",", "how", "many", "of", "them", "had", "congestive", "heart", "failure", "as", "primary", "disease", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"CONGESTIVE", "HEART", "FAILURE\"", "AND", "DEMOGRAPHIC.\"DOD_YEAR\"", "<=", "\"2115.0\""]}
{"key": "a75e1aa8b393a93c5a51986d68dc15a6", "format": {"table": [0], "cond": [[0, 16, 0, "CEREBRAL ANEURYSM/SDA"], [0, 22, 2, 2200]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "give the number of patients whose primary disease is cerebral aneurysm/sda and who were admitted before the year 2200.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"CEREBRAL ANEURYSM/SDA\" AND DEMOGRAPHIC.\"ADMITYEAR\" < \"2200\"", "question_refine_tok": ["give", "the", "number", "of", "patients", "whose", "primary", "disease", "is", "cerebral", "aneurysm", "/", "sda", "and", "who", "were", "admitted", "before", "the", "year", "2200", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"CEREBRAL", "ANEURYSM/SDA\"", "AND", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2200\""]}
{"key": "9bcb8fd398ac5be28718b9fb311c354e", "format": {"table": [0], "cond": [[0, 16, 0, "CEREBRAL ANEURYSM/SDA"], [0, 22, 2, 2173]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "among patients with cerebral aneurysm/sda as primary disease, calculate the total number of those born in the year less than 2173.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"CEREBRAL ANEURYSM/SDA\" AND DEMOGRAPHIC.\"ADMITYEAR\" < \"2173\"", "question_refine_tok": ["among", "patients", "with", "cerebral", "aneurysm", "/", "sda", "as", "primary", "disease", ",", "calculate", "the", "total", "number", "of", "those", "born", "in", "the", "year", "less", "than", "2173", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"CEREBRAL", "ANEURYSM/SDA\"", "AND", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2173\""]}
{"key": "8404478c3a267757514125bb690cca23", "format": {"table": [0], "cond": [[0, 16, 0, "RUQ PAIN"], [0, 22, 2, 2146]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients admitted after year 2146 had ruq pain?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"RUQ PAIN\" AND DEMOGRAPHIC.\"ADMITYEAR\" < \"2146\"", "question_refine_tok": ["how", "many", "patients", "admitted", "after", "year", "2146", "had", "ruq", "pain", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"RUQ", "PAIN\"", "AND", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2146\""]}
{"key": "9e3324b9e4876efdcca381640e060400", "format": {"table": [0], "cond": [[0, 16, 0, "SEPSIS"], [0, 22, 2, 2187]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients are diagnosed with primary disease sepsis and admitted before the year 2187?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"SEPSIS\" AND DEMOGRAPHIC.\"ADMITYEAR\" < \"2187\"", "question_refine_tok": ["how", "many", "patients", "are", "diagnosed", "with", "primary", "disease", "sepsis", "and", "admitted", "before", "the", "year", "2187", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"SEPSIS\"", "AND", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2187\""]}
{"key": "ac913a6b3e1ac8c1578d0b6f9f3788f8", "format": {"table": [0, 2], "cond": [[0, 16, 0, "SEPSIS"], [2, 2, 0, 9960]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many of the patients with sepsis as primary disease had icd9 code 9960?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"SEPSIS\" AND PROCEDURES.\"ICD9_CODE\" = \"9960\"", "question_refine_tok": ["how", "many", "of", "the", "patients", "with", "sepsis", "as", "primary", "disease", "had", "icd9", "code", "9960", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"SEPSIS\"", "AND", "PROCEDURES.\"ICD9_CODE\"", "=", "\"9960\""]}
{"key": "10b32134252a1f771d87a3886090cfb9", "format": {"table": [0, 3], "cond": [[0, 16, 0, "GANGRENE"], [3, 6, 0, "PO/NG"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many of the patients with gangrene as primary disease received po/ng therapy?", "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\" = \"PO/NG\"", "question_refine_tok": ["how", "many", "of", "the", "patients", "with", "gangrene", "as", "primary", "disease", "received", "po", "/", "ng", "therapy", "?"], "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\"", "=", "\"PO/NG\""]}
{"key": "82eff879cba7ff7e99b9425a450d16e3", "format": {"table": [0, 4], "cond": [[0, 16, 0, "NEWBORN"], [4, 7, 0, "Pleural"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of patients with newborn primary disease who had pleural 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\" = \"Pleural\"", "question_refine_tok": ["what", "is", "the", "number", "of", "patients", "with", "newborn", "primary", "disease", "who", "had", "pleural", "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\"", "=", "\"Pleural\""]}
{"key": "96a65966374941a10a74e3436a43aadd", "format": {"table": [0, 4], "cond": [[0, 16, 0, "NEWBORN"], [4, 7, 0, "Blood"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number", "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\" = \"Blood\"", "question_refine_tok": ["count", "the", "number"], "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\"", "=", "\"Blood\""]}
{"key": "84cdf16ce9ced3807228663939f35f2c", "format": {"table": [0, 4], "cond": [[0, 16, 0, "S/P FALL"], [4, 7, 0, "Ascites"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients with s/p fall primary disease had 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.\"DIAGNOSIS\" = \"S/P FALL\" AND LAB.\"FLUID\" = \"Ascites\"", "question_refine_tok": ["how", "many", "patients", "with", "s", "/", "p", "fall", "primary", "disease", "had", "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.\"DIAGNOSIS\"", "=", "\"S/P", "FALL\"", "AND", "LAB.\"FLUID\"", "=", "\"Ascites\""]}
{"key": "09d912da854c13b02cbfc618578853a1", "format": {"table": [0], "cond": [[0, 4, 2, 36], [0, 10, 1, 14]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients aged below 36 years have stayed in the hospital for more than 14 days?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"AGE\" < \"36\" AND DEMOGRAPHIC.\"DAYS_STAY\" > \"14\"", "question_refine_tok": ["how", "many", "patients", "aged", "below", "36", "years", "have", "stayed", "in", "the", "hospital", "for", "more", "than", "14", "days", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"AGE\"", "<", "\"36\"", "AND", "DEMOGRAPHIC.\"DAYS_STAY\"", ">", "\"14\""]}
{"key": "aa8fea62a1049793a19a00bdb81275c3", "format": {"table": [0], "cond": [[0, 4, 2, 24], [0, 10, 1, 11]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients less than 24 years of age were hospitalized for more than 11 days?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"AGE\" < \"24\" AND DEMOGRAPHIC.\"DAYS_STAY\" > \"11\"", "question_refine_tok": ["how", "many", "patients", "less", "than", "24", "years", "of", "age", "were", "hospitalized", "for", "more", "than", "11", "days", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"AGE\"", "<", "\"24\"", "AND", "DEMOGRAPHIC.\"DAYS_STAY\"", ">", "\"11\""]}
{"key": "088bfde60ac975ad3850f459ad47cfef", "format": {"table": [0], "cond": [[0, 4, 2, 48], [0, 22, 2, 2138]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "bring the number of patients younger than 48 years who were admitted before 2138.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"AGE\" < \"48\" AND DEMOGRAPHIC.\"ADMITYEAR\" < \"2138\"", "question_refine_tok": ["bring", "the", "number", "of", "patients", "younger", "than", "48", "years", "who", "were", "admitted", "before", "2138", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"AGE\"", "<", "\"48\"", "AND", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2138\""]}
{"key": "aa9d08c1a7ed4cdd6bf2b289a54a6cc1", "format": {"table": [0], "cond": [[0, 4, 2, 49], [0, 22, 2, 2198]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients are below 49 years of age and admitted under the year 2198?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"AGE\" < \"49\" AND DEMOGRAPHIC.\"ADMITYEAR\" < \"2198\"", "question_refine_tok": ["how", "many", "patients", "are", "below", "49", "years", "of", "age", "and", "admitted", "under", "the", "year", "2198", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"AGE\"", "<", "\"49\"", "AND", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2198\""]}
{"key": "87d2e624239a23f89bfbb0fcc952c3f7", "format": {"table": [0], "cond": [[0, 4, 2, 58], [0, 22, 2, 2107]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "provide the number of patients less than 58 years who were admitted to hospital before 2107.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"AGE\" < \"58\" AND DEMOGRAPHIC.\"ADMITYEAR\" < \"2107\"", "question_refine_tok": ["provide", "the", "number", "of", "patients", "less", "than", "58", "years", "who", "were", "admitted", "to", "hospital", "before", "2107", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"AGE\"", "<", "\"58\"", "AND", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2107\""]}
{"key": "bb7026d14a730065b59a010540dc5904", "format": {"table": [0, 1], "cond": [[0, 4, 2, 31], [1, 2, 0, "V140"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "provide me the number of patients younger than 31 years with diagnosis icd9 code v140.", "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.\"ICD9_CODE\" = \"V140\"", "question_refine_tok": ["provide", "me", "the", "number", "of", "patients", "younger", "than", "31", "years", "with", "diagnosis", "icd9", "code", "v140", "."], "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.\"ICD9_CODE\"", "=", "\"V140\""]}
{"key": "833b7bc32d5e845e94f9a99e0700998d", "format": {"table": [0, 1], "cond": [[0, 4, 2, 50], [1, 2, 0, "32723"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of patients who have diagnoses icd9 code 32723 and are less than 50 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\" < \"50\" AND DIAGNOSES.\"ICD9_CODE\" = \"32723\"", "question_refine_tok": ["count", "the", "number", "of", "patients", "who", "have", "diagnoses", "icd9", "code", "32723", "and", "are", "less", "than", "50", "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\"", "<", "\"50\"", "AND", "DIAGNOSES.\"ICD9_CODE\"", "=", "\"32723\""]}
{"key": "a71971647b210e967ef858d5cdc770bd", "format": {"table": [0, 1], "cond": [[0, 4, 2, 31], [1, 2, 0, "70721"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of patients younger than 31 years with a diagnosis icd9 code 70721?", "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.\"ICD9_CODE\" = \"70721\"", "question_refine_tok": ["what", "is", "the", "number", "of", "patients", "younger", "than", "31", "years", "with", "a", "diagnosis", "icd9", "code", "70721", "?"], "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.\"ICD9_CODE\"", "=", "\"70721\""]}
{"key": "06fbe5c6c99bc3f7cd0a53249b2de3dd", "format": {"table": [0, 1], "cond": [[0, 4, 2, 43], [1, 3, 0, "Prob-head/neck/trunk NOS"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients aged below 43 are diagnosed with prob-head/neck/trunk nos?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"AGE\" < \"43\" AND DIAGNOSES.\"SHORT_TITLE\" = \"Prob-head/neck/trunk NOS\"", "question_refine_tok": ["how", "many", "patients", "aged", "below", "43", "are", "diagnosed", "with", "prob", "-", "head", "/", "neck", "/", "trunk", "nos", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"AGE\"", "<", "\"43\"", "AND", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"Prob-head/neck/trunk", "NOS\""]}
{"key": "0253fe7f06bcba29a5a6dc7342278218", "format": {"table": [0, 1], "cond": [[0, 4, 2, 50], [1, 4, 0, "Acute vascular insufficiency of intestine"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of patients with acute vascular insufficiency of intestine who are less than 50 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\" < \"50\" AND DIAGNOSES.\"LONG_TITLE\" = \"Acute vascular insufficiency of intestine\"", "question_refine_tok": ["what", "is", "the", "number", "of", "patients", "with", "acute", "vascular", "insufficiency", "of", "intestine", "who", "are", "less", "than", "50", "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\"", "<", "\"50\"", "AND", "DIAGNOSES.\"LONG_TITLE\"", "=", "\"Acute", "vascular", "insufficiency", "of", "intestine\""]}
{"key": "a59ccd6f537695b771a09217857ef583", "format": {"table": [0, 2], "cond": [[0, 4, 2, 64], [2, 2, 0, 4311]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "find the number of patients aged less than 64 years with procedure icd9 code 4311.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"AGE\" < \"64\" AND PROCEDURES.\"ICD9_CODE\" = \"4311\"", "question_refine_tok": ["find", "the", "number", "of", "patients", "aged", "less", "than", "64", "years", "with", "procedure", "icd9", "code", "4311", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"AGE\"", "<", "\"64\"", "AND", "PROCEDURES.\"ICD9_CODE\"", "=", "\"4311\""]}
{"key": "827f8123c25ca3f714d96faaa00d1b84", "format": {"table": [0, 2], "cond": [[0, 4, 2, 77], [2, 2, 0, 4632]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many pateints aged below 77 had undergone the procedure icd9 code 4632?", "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.\"ICD9_CODE\" = \"4632\"", "question_refine_tok": ["how", "many", "pateints", "aged", "below", "77", "had", "undergone", "the", "procedure", "icd9", "code", "4632", "?"], "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.\"ICD9_CODE\"", "=", "\"4632\""]}
{"key": "0c28285998ef7cdb124d0fb46b890993", "format": {"table": [0, 2], "cond": [[0, 4, 2, 61], [2, 2, 0, 8619]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients are under 61 years of age have procedure icd9 code 8619?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"AGE\" < \"61\" AND PROCEDURES.\"ICD9_CODE\" = \"8619\"", "question_refine_tok": ["how", "many", "patients", "are", "under", "61", "years", "of", "age", "have", "procedure", "icd9", "code", "8619", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"AGE\"", "<", "\"61\"", "AND", "PROCEDURES.\"ICD9_CODE\"", "=", "\"8619\""]}
{"key": "043f05af1ac261f3d6e8467b8a421629", "format": {"table": [0, 2], "cond": [[0, 4, 2, 77], [2, 3, 0, "Percu endosc gastrostomy"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients below 77 years of age have undergone the procedure with short title percu endosc gastrostomy?", "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\" = \"Percu endosc gastrostomy\"", "question_refine_tok": ["how", "many", "patients", "below", "77", "years", "of", "age", "have", "undergone", "the", "procedure", "with", "short", "title", "percu", "endosc", "gastrostomy", "?"], "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\"", "=", "\"Percu", "endosc", "gastrostomy\""]}
{"key": "9b8c4d8881a36278282467b567588435", "format": {"table": [0, 2], "cond": [[0, 4, 2, 70], [2, 3, 0, "Percutan liver aspirat"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "find the number of patients less than 70 years of age who had percutan  liver aspirat procedure.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"AGE\" < \"70\" AND PROCEDURES.\"SHORT_TITLE\" = \"Percutan liver aspirat\"", "question_refine_tok": ["find", "the", "number", "of", "patients", "less", "than", "70", "years", "of", "age", "who", "had", "percutan", " ", "liver", "aspirat", "procedure", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"AGE\"", "<", "\"70\"", "AND", "PROCEDURES.\"SHORT_TITLE\"", "=", "\"Percutan", "liver", "aspirat\""]}
{"key": "87828dccf954b593285952f9e05285b4", "format": {"table": [0, 2], "cond": [[0, 4, 2, 61], [2, 4, 0, "Percutaneous abdominal drainage"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "out of total number of patients with percutaneous abdominal drainage, how many of them were aged below 61?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"AGE\" < \"61\" AND PROCEDURES.\"LONG_TITLE\" = \"Percutaneous abdominal drainage\"", "question_refine_tok": ["out", "of", "total", "number", "of", "patients", "with", "percutaneous", "abdominal", "drainage", ",", "how", "many", "of", "them", "were", "aged", "below", "61", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"AGE\"", "<", "\"61\"", "AND", "PROCEDURES.\"LONG_TITLE\"", "=", "\"Percutaneous", "abdominal", "drainage\""]}
{"key": "085c097c30ee27375d301af1413d2f6a", "format": {"table": [0, 2], "cond": [[0, 4, 2, 45], [2, 4, 0, "Endoscopic insertion of stent (tube) into bile duct"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "out of total number of patients who had endoscopic insertion of stent (tube) into bile duct, calculate the number of those aged below 45", "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\" = \"Endoscopic insertion of stent (tube) into bile duct\"", "question_refine_tok": ["out", "of", "total", "number", "of", "patients", "who", "had", "endoscopic", "insertion", "of", "stent", "(", "tube", ")", "into", "bile", "duct", ",", "calculate", "the", "number", "of", "those", "aged", "below", "45"], "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\"", "=", "\"Endoscopic", "insertion", "of", "stent", "(tube)", "into", "bile", "duct\""]}
{"key": "804ca29d119c7ae443c69c0e0f4bee74", "format": {"table": [0, 3], "cond": [[0, 4, 2, 51], [3, 4, 0, "Metoprolol Tartrate"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what number of patients under the age of 51 were given the drug metoprolol tartrate?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"AGE\" < \"51\" AND PRESCRIPTIONS.\"DRUG\" = \"Metoprolol Tartrate\"", "question_refine_tok": ["what", "number", "of", "patients", "under", "the", "age", "of", "51", "were", "given", "the", "drug", "metoprolol", "tartrate", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"AGE\"", "<", "\"51\"", "AND", "PRESCRIPTIONS.\"DRUG\"", "=", "\"Metoprolol", "Tartrate\""]}
{"key": "9c05a565ee5d9c64aaf12d921d02d4c9", "format": {"table": [0, 3], "cond": [[0, 4, 2, 72], [3, 4, 0, "Pravastatin"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "among the patients who were treated with pravastatin, how many of them were aged below 72?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"AGE\" < \"72\" AND PRESCRIPTIONS.\"DRUG\" = \"Pravastatin\"", "question_refine_tok": ["among", "the", "patients", "who", "were", "treated", "with", "pravastatin", ",", "how", "many", "of", "them", "were", "aged", "below", "72", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"AGE\"", "<", "\"72\"", "AND", "PRESCRIPTIONS.\"DRUG\"", "=", "\"Pravastatin\""]}
{"key": "969b372fc589d8b0734db3c70b6eb4fc", "format": {"table": [0, 3], "cond": [[0, 4, 2, 81], [3, 4, 0, "Critic-Aid Clear AF"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "give me the number of patients less than 81 years who were prescribed critic-aid clear af drug.", "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.\"DRUG\" = \"Critic-Aid Clear AF\"", "question_refine_tok": ["give", "me", "the", "number", "of", "patients", "less", "than", "81", "years", "who", "were", "prescribed", "critic", "-", "aid", "clear", "af", "drug", "."], "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.\"DRUG\"", "=", "\"Critic-Aid", "Clear", "AF\""]}
{"key": "aa253b41030e5c298e4ceb1c7aef9028", "format": {"table": [0, 3], "cond": [[0, 4, 2, 56], [3, 4, 0, "Voriconazole"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients below the age of 56 were given voriconazole?", "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\" = \"Voriconazole\"", "question_refine_tok": ["how", "many", "patients", "below", "the", "age", "of", "56", "were", "given", "voriconazole", "?"], "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\"", "=", "\"Voriconazole\""]}
{"key": "0850adcaf50adb3f7a89eb56b2f1104a", "format": {"table": [0, 3], "cond": [[0, 4, 2, 59], [3, 5, 0, "TACRSUSP"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "calculate the number of patients less than 59 years who have drug code tacrsusp.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"AGE\" < \"59\" AND PRESCRIPTIONS.\"FORMULARY_DRUG_CD\" = \"TACRSUSP\"", "question_refine_tok": ["calculate", "the", "number", "of", "patients", "less", "than", "59", "years", "who", "have", "drug", "code", "tacrsusp", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"AGE\"", "<", "\"59\"", "AND", "PRESCRIPTIONS.\"FORMULARY_DRUG_CD\"", "=", "\"TACRSUSP\""]}
{"key": "84d545e92b1a3cabb755523ca1f95bd4", "format": {"table": [0, 3], "cond": [[0, 4, 2, 62], [3, 5, 0, "MORP2I"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "show the number of patients who are less than 60 years of age had the drug code morp2i.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"AGE\" < \"62\" AND PRESCRIPTIONS.\"FORMULARY_DRUG_CD\" = \"MORP2I\"", "question_refine_tok": ["show", "the", "number", "of", "patients", "who", "are", "less", "than", "60", "years", "of", "age", "had", "the", "drug", "code", "morp2i", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"AGE\"", "<", "\"62\"", "AND", "PRESCRIPTIONS.\"FORMULARY_DRUG_CD\"", "=", "\"MORP2I\""]}
{"key": "ada73b5096f28b24b79cb30cc513b751", "format": {"table": [0, 3], "cond": [[0, 4, 2, 43], [3, 5, 0, "HEPBASE"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "find the number of patients who are less than 43 years of age and their drug code is hepbase.", "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.\"FORMULARY_DRUG_CD\" = \"HEPBASE\"", "question_refine_tok": ["find", "the", "number", "of", "patients", "who", "are", "less", "than", "43", "years", "of", "age", "and", "their", "drug", "code", "is", "hepbase", "."], "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.\"FORMULARY_DRUG_CD\"", "=", "\"HEPBASE\""]}
{"key": "9b2fd5dc21a28a480871e22effce3a33", "format": {"table": [0, 3], "cond": [[0, 4, 2, 43], [3, 6, 0, "DIALYS"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients aged below 43 year had the drug route dialysis?", "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.\"ROUTE\" = \"DIALYS\"", "question_refine_tok": ["how", "many", "patients", "aged", "below", "43", "year", "had", "the", "drug", "route", "dialysis", "?"], "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.\"ROUTE\"", "=", "\"DIALYS\""]}
{"key": "8436a88896b36ac22a1de03c526e42a1", "format": {"table": [0, 3], "cond": [[0, 4, 2, 31], [3, 6, 0, "SC"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients aged below 31 years had sc as the drug route?", "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.\"ROUTE\" = \"SC\"", "question_refine_tok": ["how", "many", "patients", "aged", "below", "31", "years", "had", "sc", "as", "the", "drug", "route", "?"], "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.\"ROUTE\"", "=", "\"SC\""]}
{"key": "97a709030d581ebe37d34fa3d33e7349", "format": {"table": [0, 3], "cond": [[0, 4, 2, 83], [3, 6, 0, "DIALYS"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "find the number of patients whose drug route is dialys and age under 83 years.", "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.\"ROUTE\" = \"DIALYS\"", "question_refine_tok": ["find", "the", "number", "of", "patients", "whose", "drug", "route", "is", "dialys", "and", "age", "under", "83", "years", "."], "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.\"ROUTE\"", "=", "\"DIALYS\""]}
{"key": "8a54ab08858b40c96c758520cd5309ac", "format": {"table": [0, 3], "cond": [[0, 4, 2, 58], [3, 6, 0, "NEB"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of patients less than 58 years on 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.\"AGE\" < \"58\" AND PRESCRIPTIONS.\"ROUTE\" = \"NEB\"", "question_refine_tok": ["count", "the", "number", "of", "patients", "less", "than", "58", "years", "on", "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.\"AGE\"", "<", "\"58\"", "AND", "PRESCRIPTIONS.\"ROUTE\"", "=", "\"NEB\""]}
{"key": "a098490776ade92f9d0c247ccfb1eb73", "format": {"table": [0, 3], "cond": [[0, 4, 2, 70], [3, 6, 0, "INHALATION"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "get me the number of patients less than 70 years who take drug via inhalation.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"AGE\" < \"70\" AND PRESCRIPTIONS.\"ROUTE\" = \"INHALATION\"", "question_refine_tok": ["get", "me", "the", "number", "of", "patients", "less", "than", "70", "years", "who", "take", "drug", "via", "inhalation", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"AGE\"", "<", "\"70\"", "AND", "PRESCRIPTIONS.\"ROUTE\"", "=", "\"INHALATION\""]}
{"key": "82fe69e357204798f6fa15a9b66761ff", "format": {"table": [0, 4], "cond": [[0, 4, 2, 70], [4, 7, 0, "Cerebrospinal Fluid (CSF)"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients younger than 70 years have got the cerebrospinal fluid (csf) 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\" < \"70\" AND LAB.\"FLUID\" = \"Cerebrospinal Fluid (CSF)\"", "question_refine_tok": ["how", "many", "patients", "younger", "than", "70", "years", "have", "got", "the", "cerebrospinal", "fluid", "(", "csf", ")", "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\"", "<", "\"70\"", "AND", "LAB.\"FLUID\"", "=", "\"Cerebrospinal", "Fluid", "(CSF)\""]}
{"key": "0b478e939f03f13b46bdf4e3d449a6ae", "format": {"table": [0, 4], "cond": [[0, 4, 2, 41], [4, 7, 0, "Joint Fluid"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients are below 41 years of age and tested with joint fluid in lab?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"AGE\" < \"41\" AND LAB.\"FLUID\" = \"Joint Fluid\"", "question_refine_tok": ["how", "many", "patients", "are", "below", "41", "years", "of", "age", "and", "tested", "with", "joint", "fluid", "in", "lab", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"AGE\"", "<", "\"41\"", "AND", "LAB.\"FLUID\"", "=", "\"Joint", "Fluid\""]}
{"key": "85c64a20b4ee9ba7566059a53b6fcdb3", "format": {"table": [0, 4], "cond": [[0, 4, 2, 41], [4, 7, 0, "Blood"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what number of patients less than 41 years had blood 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\" < \"41\" AND LAB.\"FLUID\" = \"Blood\"", "question_refine_tok": ["what", "number", "of", "patients", "less", "than", "41", "years", "had", "blood", "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\"", "<", "\"41\"", "AND", "LAB.\"FLUID\"", "=", "\"Blood\""]}
{"key": "93df86655ac888bcf620e06e7b7e5f80", "format": {"table": [0, 4], "cond": [[0, 4, 2, 43], [4, 7, 0, "Ascites"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "among patients aged below 43, 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.\"AGE\" < \"43\" AND LAB.\"FLUID\" = \"Ascites\"", "question_refine_tok": ["among", "patients", "aged", "below", "43", ",", "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.\"AGE\"", "<", "\"43\"", "AND", "LAB.\"FLUID\"", "=", "\"Ascites\""]}
{"key": "a6ebd440c78317b1d6a84ca93eabf13e", "format": {"table": [0, 4], "cond": [[0, 4, 2, 43], [4, 7, 0, "Pleural"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients below 43 years of age tested in lab for pleural fluid?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"AGE\" < \"43\" AND LAB.\"FLUID\" = \"Pleural\"", "question_refine_tok": ["how", "many", "patients", "below", "43", "years", "of", "age", "tested", "in", "lab", "for", "pleural", "fluid", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"AGE\"", "<", "\"43\"", "AND", "LAB.\"FLUID\"", "=", "\"Pleural\""]}
{"key": "aa94e974b8ee66950b649251ba9090dc", "format": {"table": [0, 4], "cond": [[0, 4, 2, 31], [4, 8, 0, "Chemistry"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients are less than 31 year old with a chemistry lab test category?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"AGE\" < \"31\" AND LAB.\"CATEGORY\" = \"Chemistry\"", "question_refine_tok": ["how", "many", "patients", "are", "less", "than", "31", "year", "old", "with", "a", "chemistry", "lab", "test", "category", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"AGE\"", "<", "\"31\"", "AND", "LAB.\"CATEGORY\"", "=", "\"Chemistry\""]}
{"key": "926a345db323823260da99f203e0010e", "format": {"table": [0, 4], "cond": [[0, 4, 2, 41], [4, 8, 0, "Blood Gas"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "find the number of patients who are below the age of 41 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.\"AGE\" < \"41\" AND LAB.\"CATEGORY\" = \"Blood Gas\"", "question_refine_tok": ["find", "the", "number", "of", "patients", "who", "are", "below", "the", "age", "of", "41", "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.\"AGE\"", "<", "\"41\"", "AND", "LAB.\"CATEGORY\"", "=", "\"Blood", "Gas\""]}
{"key": "86ed722adeb715c537f8251884abffca", "format": {"table": [0, 4], "cond": [[0, 4, 2, 61], [4, 8, 0, "Hematology"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "find the number of patients whose lab test category is hematology and age is under 61 years.", "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\" = \"Hematology\"", "question_refine_tok": ["find", "the", "number", "of", "patients", "whose", "lab", "test", "category", "is", "hematology", "and", "age", "is", "under", "61", "years", "."], "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\"", "=", "\"Hematology\""]}
{"key": "9dbca995af6b0989abc114cc3d1b3fb7", "format": {"table": [0, 1], "cond": [[0, 10, 1, 4], [1, 2, 0, "99681"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "give me the nymber of patients with diagnosis icd9 code 99681 who stayed in hospital for more than 4 days.", "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\" = \"99681\"", "question_refine_tok": ["give", "me", "the", "nymber", "of", "patients", "with", "diagnosis", "icd9", "code", "99681", "who", "stayed", "in", "hospital", "for", "more", "than", "4", "days", "."], "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\"", "=", "\"99681\""]}
{"key": "0c8f33538cf6d53181d3b2f39f69baf8", "format": {"table": [0, 1], "cond": [[0, 10, 1, 34], [1, 2, 0, "317"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "provide the number of patients with diagnoses icd9 code 317 who were admitted for more than 34 days.", "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\" = \"317\"", "question_refine_tok": ["provide", "the", "number", "of", "patients", "with", "diagnoses", "icd9", "code", "317", "who", "were", "admitted", "for", "more", "than", "34", "days", "."], "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\"", "=", "\"317\""]}
{"key": "88af406053b45485750b8981010e88e9", "format": {"table": [0, 1], "cond": [[0, 10, 1, 6], [1, 3, 0, "Orthostatic hypotension"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients stayed in hospital above 6 days and diagnosed with orthostatic hypertension?", "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.\"SHORT_TITLE\" = \"Orthostatic hypotension\"", "question_refine_tok": ["how", "many", "patients", "stayed", "in", "hospital", "above", "6", "days", "and", "diagnosed", "with", "orthostatic", "hypertension", "?"], "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.\"SHORT_TITLE\"", "=", "\"Orthostatic", "hypotension\""]}
{"key": "a7f0f51a1b7298fc9b7c2f8214ee4b19", "format": {"table": [0, 1], "cond": [[0, 10, 1, 30], [1, 3, 0, "Chr diastolic hrt fail"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients diagnosed with chronic diastolic heart failure were hospitalized for more than 30 days?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"DAYS_STAY\" > \"30\" AND DIAGNOSES.\"SHORT_TITLE\" = \"Chr diastolic hrt fail\"", "question_refine_tok": ["how", "many", "patients", "diagnosed", "with", "chronic", "diastolic", "heart", "failure", "were", "hospitalized", "for", "more", "than", "30", "days", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DAYS_STAY\"", ">", "\"30\"", "AND", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"Chr", "diastolic", "hrt", "fail\""]}
{"key": "0b5fc111d80c2e60438458ddb5979cf1", "format": {"table": [0, 1], "cond": [[0, 10, 1, 5], [1, 3, 0, "Personality disorder NOS"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "calculate the number of patients with personality disorder nos who had a hospital stay for more than 5 days.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"DAYS_STAY\" > \"5\" AND DIAGNOSES.\"SHORT_TITLE\" = \"Personality disorder NOS\"", "question_refine_tok": ["calculate", "the", "number", "of", "patients", "with", "personality", "disorder", "nos", "who", "had", "a", "hospital", "stay", "for", "more", "than", "5", "days", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DAYS_STAY\"", ">", "\"5\"", "AND", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"Personality", "disorder", "NOS\""]}
{"key": "0dd083c0247abcf28d92f74623eae302", "format": {"table": [0, 2], "cond": [[0, 10, 1, 3], [2, 2, 0, 5451]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients who stayed in the hospital for more than 3 days had procedure icd9 code 5451?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"DAYS_STAY\" > \"3\" AND PROCEDURES.\"ICD9_CODE\" = \"5451\"", "question_refine_tok": ["how", "many", "patients", "who", "stayed", "in", "the", "hospital", "for", "more", "than", "3", "days", "had", "procedure", "icd9", "code", "5451", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DAYS_STAY\"", ">", "\"3\"", "AND", "PROCEDURES.\"ICD9_CODE\"", "=", "\"5451\""]}
{"key": "86095463f2ab22007d32c028f0efe69c", "format": {"table": [0, 2], "cond": [[0, 10, 1, 1], [2, 2, 0, 5198]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients admitted under procedure icd9 code 5198 stayed in the hospital for more than 1 day?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"DAYS_STAY\" > \"1\" AND PROCEDURES.\"ICD9_CODE\" = \"5198\"", "question_refine_tok": ["how", "many", "patients", "admitted", "under", "procedure", "icd9", "code", "5198", "stayed", "in", "the", "hospital", "for", "more", "than", "1", "day", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DAYS_STAY\"", ">", "\"1\"", "AND", "PROCEDURES.\"ICD9_CODE\"", "=", "\"5198\""]}
{"key": "838ee5f862ddd3c0a19da04e62ab6735", "format": {"table": [0, 3], "cond": [[0, 10, 1, 5], [3, 3, 0, "ADDITIVE"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "calculate the patients who are prescribed additive drugs and have stayed in the hospital for more than 5 days.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"DAYS_STAY\" > \"5\" AND PRESCRIPTIONS.\"DRUG_TYPE\" = \"ADDITIVE\"", "question_refine_tok": ["calculate", "the", "patients", "who", "are", "prescribed", "additive", "drugs", "and", "have", "stayed", "in", "the", "hospital", "for", "more", "than", "5", "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\"", ">", "\"5\"", "AND", "PRESCRIPTIONS.\"DRUG_TYPE\"", "=", "\"ADDITIVE\""]}
{"key": "b9d328373ac5aa2bb7d84ee3fa0cee44", "format": {"table": [0, 3], "cond": [[0, 10, 1, 9], [3, 4, 0, "Ibuprofen Suspension"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients stayed in hospital above 9 days and used the drug ibuprofen suspension?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"DAYS_STAY\" > \"9\" AND PRESCRIPTIONS.\"DRUG\" = \"Ibuprofen Suspension\"", "question_refine_tok": ["how", "many", "patients", "stayed", "in", "hospital", "above", "9", "days", "and", "used", "the", "drug", "ibuprofen", "suspension", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DAYS_STAY\"", ">", "\"9\"", "AND", "PRESCRIPTIONS.\"DRUG\"", "=", "\"Ibuprofen", "Suspension\""]}
{"key": "080127e8abd81701f88e49d4a966b56d", "format": {"table": [0, 3], "cond": [[0, 10, 1, 43], [3, 4, 0, "Alteplase (Catheter Clearance)"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "tell me the number of patients on prescription of alteplase (catheter clearance) who had to stay for more than 43 days in hospital.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"DAYS_STAY\" > \"43\" AND PRESCRIPTIONS.\"DRUG\" = \"Alteplase (Catheter Clearance)\"", "question_refine_tok": ["tell", "me", "the", "number", "of", "patients", "on", "prescription", "of", "alteplase", "(", "catheter", "clearance", ")", "who", "had", "to", "stay", "for", "more", "than", "43", "days", "in", "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\"", ">", "\"43\"", "AND", "PRESCRIPTIONS.\"DRUG\"", "=", "\"Alteplase", "(Catheter", "Clearance)\""]}
{"key": "b9e6f14f784427e612f5e8259145fe67", "format": {"table": [0, 3], "cond": [[0, 10, 1, 34], [3, 4, 0, "NEO*PO*MCT Oil"]], "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 have been prescribed the drug neo*po*mct oil?", "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.\"DRUG\" = \"NEO*PO*MCT Oil\"", "question_refine_tok": ["what", "is", "the", "number", "of", "patients", "who", "stayed", "in", "the", "hospital", "for", "more", "than", "34", "days", "and", "have", "been", "prescribed", "the", "drug", "neo*po*mct", "oil", "?"], "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.\"DRUG\"", "=", "\"NEO*PO*MCT", "Oil\""]}
{"key": "089a137d1d773bd6f945b3accb8eb318", "format": {"table": [0, 4], "cond": [[0, 10, 1, 16], [4, 2, 0, 50976]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many of the patients with item id 50976 remained admitted in hospital for more than 16 days?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"DAYS_STAY\" > \"16\" AND LAB.\"ITEMID\" = \"50976\"", "question_refine_tok": ["how", "many", "of", "the", "patients", "with", "item", "i", "d", "50976", "remained", "admitted", "in", "hospital", "for", "more", "than", "16", "days", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DAYS_STAY\"", ">", "\"16\"", "AND", "LAB.\"ITEMID\"", "=", "\"50976\""]}
{"key": "00263ad8de751999af6aa3a7cf5276ad", "format": {"table": [0, 4], "cond": [[0, 10, 1, 14], [4, 6, 0, "Methemoglobin"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of patients whose hospital stay is above 14 days and with lab test methemoglobin?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"DAYS_STAY\" > \"14\" AND LAB.\"LABEL\" = \"Methemoglobin\"", "question_refine_tok": ["what", "is", "the", "number", "of", "patients", "whose", "hospital", "stay", "is", "above", "14", "days", "and", "with", "lab", "test", "methemoglobin", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DAYS_STAY\"", ">", "\"14\"", "AND", "LAB.\"LABEL\"", "=", "\"Methemoglobin\""]}
{"key": "03581613dae97e5ca2785224b80c6222", "format": {"table": [0, 4], "cond": [[0, 10, 1, 26], [4, 6, 0, "24 hr Creatinine"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "bring the number of patients who have had 24 hr creatinine lab test and stayed in hospital for more than 26 days.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"DAYS_STAY\" > \"26\" AND LAB.\"LABEL\" = \"24 hr Creatinine\"", "question_refine_tok": ["bring", "the", "number", "of", "patients", "who", "have", "had", "24", "hr", "creatinine", "lab", "test", "and", "stayed", "in", "hospital", "for", "more", "than", "26", "days", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DAYS_STAY\"", ">", "\"26\"", "AND", "LAB.\"LABEL\"", "=", "\"24", "hr", "Creatinine\""]}
{"key": "09836ee89fd684d22d1fd39b5efb7692", "format": {"table": [0, 4], "cond": [[0, 10, 1, 1], [4, 7, 0, "Urine"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "give the number of patients who have stayed in the hospital for more than one day whose 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.\"DAYS_STAY\" > \"1\" AND LAB.\"FLUID\" = \"Urine\"", "question_refine_tok": ["give", "the", "number", "of", "patients", "who", "have", "stayed", "in", "the", "hospital", "for", "more", "than", "one", "day", "whose", "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.\"DAYS_STAY\"", ">", "\"1\"", "AND", "LAB.\"FLUID\"", "=", "\"Urine\""]}
{"key": "859d3b545592e6d48f57a1a061efee5c", "format": {"table": [0, 4], "cond": [[0, 10, 1, 2], [4, 7, 0, "Urine"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients admitted for more than 2 days had a lab test for urine", "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\" = \"Urine\"", "question_refine_tok": ["how", "many", "patients", "admitted", "for", "more", "than", "2", "days", "had", "a", "lab", "test", "for", "urine"], "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\"", "=", "\"Urine\""]}
{"key": "85aa76ce561a87a6edc0d482804be238", "format": {"table": [0, 4], "cond": [[0, 10, 1, 2], [4, 7, 0, "Other Body Fluid"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "provide the number of patients who had other body fluid lab test and were hospitalized for more than 2 days.", "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\" = \"Other Body Fluid\"", "question_refine_tok": ["provide", "the", "number", "of", "patients", "who", "had", "other", "body", "fluid", "lab", "test", "and", "were", "hospitalized", "for", "more", "than", "2", "days", "."], "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\"", "=", "\"Other", "Body", "Fluid\""]}
{"key": "0733b1bb3d1aa461500203a4d62a5b57", "format": {"table": [0, 4], "cond": [[0, 10, 1, 5], [4, 8, 0, "Chemistry"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of patients who were admitted for more than 5 days in hospital and had chemistry lab test category.", "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.\"CATEGORY\" = \"Chemistry\"", "question_refine_tok": ["count", "the", "number", "of", "patients", "who", "were", "admitted", "for", "more", "than", "5", "days", "in", "hospital", "and", "had", "chemistry", "lab", "test", "category", "."], "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.\"CATEGORY\"", "=", "\"Chemistry\""]}
{"key": "0396aa6c389fbd125085ebc36a4135c6", "format": {"table": [0, 1], "cond": [[0, 18, 2, 2024], [1, 3, 0, "Chronic liver dis NEC"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "provide the number of patients born before 2024 diagnosed with other chronic nonalcoholic liver disease.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"DOB_YEAR\" < \"2024\" AND DIAGNOSES.\"SHORT_TITLE\" = \"Chronic liver dis NEC\"", "question_refine_tok": ["provide", "the", "number", "of", "patients", "born", "before", "2024", "diagnosed", "with", "other", "chronic", "nonalcoholic", "liver", "disease", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DOB_YEAR\"", "<", "\"2024\"", "AND", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"Chronic", "liver", "dis", "NEC\""]}
{"key": "0ea47d14ad9c8eb5f88da2a93f2a6b8d", "format": {"table": [0, 2], "cond": [[0, 18, 2, 2065], [2, 2, 0, 46]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of patients whose year of birth is  before 2065 and procedure icd9 code 46?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"DOB_YEAR\" < \"2065\" AND PROCEDURES.\"ICD9_CODE\" = \"46\"", "question_refine_tok": ["what", "is", "the", "number", "of", "patients", "whose", "year", "of", "birth", "is", " ", "before", "2065", "and", "procedure", "icd9", "code", "46", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DOB_YEAR\"", "<", "\"2065\"", "AND", "PROCEDURES.\"ICD9_CODE\"", "=", "\"46\""]}
{"key": "03a4061b29e9397f573c8fc2412dcf06", "format": {"table": [0, 2], "cond": [[0, 18, 2, 2065], [2, 2, 0, 9604]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "give the number of patients who were born before the year 2065 and whose procedure icd9 code is 9604?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"DOB_YEAR\" < \"2065\" AND PROCEDURES.\"ICD9_CODE\" = \"9604\"", "question_refine_tok": ["give", "the", "number", "of", "patients", "who", "were", "born", "before", "the", "year", "2065", "and", "whose", "procedure", "icd9", "code", "is", "9604", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DOB_YEAR\"", "<", "\"2065\"", "AND", "PROCEDURES.\"ICD9_CODE\"", "=", "\"9604\""]}
{"key": "04fec7017bec275d4bc47df53bb90b78", "format": {"table": [0, 2], "cond": [[0, 18, 2, 2121], [2, 4, 0, "Biopsy of tonsils and adenoids"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients are born before 2121 and followed the procedure biopsy of tonsils and adenoids?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"DOB_YEAR\" < \"2121\" AND PROCEDURES.\"LONG_TITLE\" = \"Biopsy of tonsils and adenoids\"", "question_refine_tok": ["how", "many", "patients", "are", "born", "before", "2121", "and", "followed", "the", "procedure", "biopsy", "of", "tonsils", "and", "adenoids", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DOB_YEAR\"", "<", "\"2121\"", "AND", "PROCEDURES.\"LONG_TITLE\"", "=", "\"Biopsy", "of", "tonsils", "and", "adenoids\""]}
{"key": "819886e34e7e0c9516caa63edcf8fa0d", "format": {"table": [0, 2], "cond": [[0, 18, 2, 2065], [2, 4, 0, "Prophylactic administration of vaccine against other diseases"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of patients born before 2065 who had prophylactic administration of vaccine against other diseases.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"DOB_YEAR\" < \"2065\" AND PROCEDURES.\"LONG_TITLE\" = \"Prophylactic administration of vaccine against other diseases\"", "question_refine_tok": ["count", "the", "number", "of", "patients", "born", "before", "2065", "who", "had", "prophylactic", "administration", "of", "vaccine", "against", "other", "diseases", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DOB_YEAR\"", "<", "\"2065\"", "AND", "PROCEDURES.\"LONG_TITLE\"", "=", "\"Prophylactic", "administration", "of", "vaccine", "against", "other", "diseases\""]}
{"key": "80778e877d3c5ed5efa2155fccdcc2ec", "format": {"table": [0, 2], "cond": [[0, 18, 2, 2109], [2, 4, 0, "Coronary arteriography using two catheters"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of patients who had coronary arteriography using two catheters and were born before 2109?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"DOB_YEAR\" < \"2109\" AND PROCEDURES.\"LONG_TITLE\" = \"Coronary arteriography using two catheters\"", "question_refine_tok": ["what", "is", "the", "number", "of", "patients", "who", "had", "coronary", "arteriography", "using", "two", "catheters", "and", "were", "born", "before", "2109", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DOB_YEAR\"", "<", "\"2109\"", "AND", "PROCEDURES.\"LONG_TITLE\"", "=", "\"Coronary", "arteriography", "using", "two", "catheters\""]}
{"key": "821b43f632853ed712026a1d2d0d8313", "format": {"table": [0, 3], "cond": [[0, 18, 2, 2104], [3, 3, 0, "ADDITIVE"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of patients on additive type drug prescription who were born before 2104.", "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.\"DRUG_TYPE\" = \"ADDITIVE\"", "question_refine_tok": ["count", "the", "number", "of", "patients", "on", "additive", "type", "drug", "prescription", "who", "were", "born", "before", "2104", "."], "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.\"DRUG_TYPE\"", "=", "\"ADDITIVE\""]}
{"key": "94d03397b2b5cc027c508ab22c8e216e", "format": {"table": [0, 3], "cond": [[0, 18, 2, 2104], [3, 4, 0, "Vancomycin"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients born before the year 2104 were given the drug vancomycin?", "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.\"DRUG\" = \"Vancomycin\"", "question_refine_tok": ["how", "many", "patients", "born", "before", "the", "year", "2104", "were", "given", "the", "drug", "vancomycin", "?"], "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.\"DRUG\"", "=", "\"Vancomycin\""]}
{"key": "0ef4e32954ca70a4dbc73fedfa9a6ba8", "format": {"table": [0, 3], "cond": [[0, 18, 2, 2109], [3, 4, 0, "NORepinephrine"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of patients on norepinephrine prescription who were born before the year 2109.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"DOB_YEAR\" < \"2109\" AND PRESCRIPTIONS.\"DRUG\" = \"NORepinephrine\"", "question_refine_tok": ["count", "the", "number", "of", "patients", "on", "norepinephrine", "prescription", "who", "were", "born", "before", "the", "year", "2109", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DOB_YEAR\"", "<", "\"2109\"", "AND", "PRESCRIPTIONS.\"DRUG\"", "=", "\"NORepinephrine\""]}
{"key": "01978ff062145f6b9b95e252b3bab2b0", "format": {"table": [0, 3], "cond": [[0, 18, 2, 2053], [3, 6, 0, "IVPCA"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of patients born before 2053 who are taking drug via ivpca route.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"DOB_YEAR\" < \"2053\" AND PRESCRIPTIONS.\"ROUTE\" = \"IVPCA\"", "question_refine_tok": ["count", "the", "number", "of", "patients", "born", "before", "2053", "who", "are", "taking", "drug", "via", "ivpca", "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\"", "<", "\"2053\"", "AND", "PRESCRIPTIONS.\"ROUTE\"", "=", "\"IVPCA\""]}
{"key": "070960a090aa476250fdbf3a9ddc3350", "format": {"table": [0, 4], "cond": [[0, 18, 2, 2071], [4, 2, 0, 50953]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients were born before the year 2071 with an item id 50953?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"DOB_YEAR\" < \"2071\" AND LAB.\"ITEMID\" = \"50953\"", "question_refine_tok": ["how", "many", "patients", "were", "born", "before", "the", "year", "2071", "with", "an", "item", "i", "d", "50953", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DOB_YEAR\"", "<", "\"2071\"", "AND", "LAB.\"ITEMID\"", "=", "\"50953\""]}
{"key": "81b4faef3515b239d74fcabdef8c1a42", "format": {"table": [0, 4], "cond": [[0, 18, 2, 2170], [4, 6, 0, "Other Cells"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients born before the year 2170 had lab test named other cells?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"DOB_YEAR\" < \"2170\" AND LAB.\"LABEL\" = \"Other Cells\"", "question_refine_tok": ["how", "many", "patients", "born", "before", "the", "year", "2170", "had", "lab", "test", "named", "other", "cells", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DOB_YEAR\"", "<", "\"2170\"", "AND", "LAB.\"LABEL\"", "=", "\"Other", "Cells\""]}
{"key": "ad68c7f37e76a07bb9df8bbd457cb210", "format": {"table": [0, 4], "cond": [[0, 18, 2, 1821], [4, 6, 0, "Lactate Dehydrogenase, CSF"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients year of birth is before 1821 with lab test lactate dehydrogenase csf?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"DOB_YEAR\" < \"1821\" AND LAB.\"LABEL\" = \"Lactate Dehydrogenase, CSF\"", "question_refine_tok": ["how", "many", "patients", "year", "of", "birth", "is", "before", "1821", "with", "lab", "test", "lactate", "dehydrogenase", "csf", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DOB_YEAR\"", "<", "\"1821\"", "AND", "LAB.\"LABEL\"", "=", "\"Lactate", "Dehydrogenase,", "CSF\""]}
{"key": "ace7d9f8651d4d512565d6be3b6a9a6c", "format": {"table": [0, 4], "cond": [[0, 18, 2, 2089], [4, 7, 0, "Pleural"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "out of total number of patients who had a lab test for pleural fluid, how many of them were born in the year less than 2089?", "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\" = \"Pleural\"", "question_refine_tok": ["out", "of", "total", "number", "of", "patients", "who", "had", "a", "lab", "test", "for", "pleural", "fluid", ",", "how", "many", "of", "them", "were", "born", "in", "the", "year", "less", "than", "2089", "?"], "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\"", "=", "\"Pleural\""]}
{"key": "a8ed9d698cc466a86e52507edcf4e5df", "format": {"table": [0, 4], "cond": [[0, 18, 2, 2120], [4, 7, 0, "Urine"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of patients born before 2120 who had urine lab test?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"DOB_YEAR\" < \"2120\" AND LAB.\"FLUID\" = \"Urine\"", "question_refine_tok": ["what", "is", "the", "number", "of", "patients", "born", "before", "2120", "who", "had", "urine", "lab", "test", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DOB_YEAR\"", "<", "\"2120\"", "AND", "LAB.\"FLUID\"", "=", "\"Urine\""]}
{"key": "893e04ea869a527c2f9efc37d8ac617d", "format": {"table": [0, 2], "cond": [[0, 19, 4, 2115.0], [2, 4, 0, "Other endoscopy of small intestine"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of patients who had other endoscopy of small intestine and died on or before 2115?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"DOD_YEAR\" <= \"2115.0\" AND PROCEDURES.\"LONG_TITLE\" = \"Other endoscopy of small intestine\"", "question_refine_tok": ["what", "is", "the", "number", "of", "patients", "who", "had", "other", "endoscopy", "of", "small", "intestine", "and", "died", "on", "or", "before", "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\"", "<=", "\"2115.0\"", "AND", "PROCEDURES.\"LONG_TITLE\"", "=", "\"Other", "endoscopy", "of", "small", "intestine\""]}
{"key": "b9b1e272af0cd9a909d5b78a51ebf792", "format": {"table": [0, 3], "cond": [[0, 19, 4, 2122.0], [3, 5, 0, "BETH5"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients with drug code beth5 died on or before 2122?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"DOD_YEAR\" <= \"2122.0\" AND PRESCRIPTIONS.\"FORMULARY_DRUG_CD\" = \"BETH5\"", "question_refine_tok": ["how", "many", "patients", "with", "drug", "code", "beth5", "died", "on", "or", "before", "2122", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DOD_YEAR\"", "<=", "\"2122.0\"", "AND", "PRESCRIPTIONS.\"FORMULARY_DRUG_CD\"", "=", "\"BETH5\""]}
{"key": "a73e048daa3b63ac4a41d7c267a48d31", "format": {"table": [0, 4], "cond": [[0, 19, 4, 2131.0], [4, 6, 0, "White Blood Cells"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients had white blood cells test and died in or before 2131?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"DOD_YEAR\" <= \"2131.0\" AND LAB.\"LABEL\" = \"White Blood Cells\"", "question_refine_tok": ["how", "many", "patients", "had", "white", "blood", "cells", "test", "and", "died", "in", "or", "before", "2131", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"DOD_YEAR\"", "<=", "\"2131.0\"", "AND", "LAB.\"LABEL\"", "=", "\"White", "Blood", "Cells\""]}
{"key": "935442d35e0d989f39b12cfeb80688d2", "format": {"table": [0, 1], "cond": [[0, 22, 2, 2157], [1, 2, 0, "78039"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "give me the number of patients who were admitted before the year 2157 with 78039 as their diagnosis icd9 code", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"ADMITYEAR\" < \"2157\" AND DIAGNOSES.\"ICD9_CODE\" = \"78039\"", "question_refine_tok": ["give", "me", "the", "number", "of", "patients", "who", "were", "admitted", "before", "the", "year", "2157", "with", "78039", "as", "their", "diagnosis", "icd9", "code"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2157\"", "AND", "DIAGNOSES.\"ICD9_CODE\"", "=", "\"78039\""]}
{"key": "acffd8d07f8a0ebff45d316bdad79292", "format": {"table": [0, 1], "cond": [[0, 22, 2, 2112], [1, 2, 0, "56212"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients admitted in the year less than 2112 had icd9 code 56212?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"ADMITYEAR\" < \"2112\" AND DIAGNOSES.\"ICD9_CODE\" = \"56212\"", "question_refine_tok": ["how", "many", "patients", "admitted", "in", "the", "year", "less", "than", "2112", "had", "icd9", "code", "56212", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2112\"", "AND", "DIAGNOSES.\"ICD9_CODE\"", "=", "\"56212\""]}
{"key": "8793d7722bc0a33c0337714fb51f5a3b", "format": {"table": [0, 1], "cond": [[0, 22, 2, 2200], [1, 2, 0, "E8791"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients are admitted before the year 2200 and diagnosed with icd9 code e8791?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"ADMITYEAR\" < \"2200\" AND DIAGNOSES.\"ICD9_CODE\" = \"E8791\"", "question_refine_tok": ["how", "many", "patients", "are", "admitted", "before", "the", "year", "2200", "and", "diagnosed", "with", "icd9", "code", "e8791", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2200\"", "AND", "DIAGNOSES.\"ICD9_CODE\"", "=", "\"E8791\""]}
{"key": "0bc9f228d063f921a03fbc029e61db03", "format": {"table": [0, 1], "cond": [[0, 22, 2, 2173], [1, 3, 0, "Ac salpingo-oophoritis"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many of the patients admitted in the year less than 2173 were diagnosed with ac salpingo-oophoritis?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"ADMITYEAR\" < \"2173\" AND DIAGNOSES.\"SHORT_TITLE\" = \"Ac salpingo-oophoritis\"", "question_refine_tok": ["how", "many", "of", "the", "patients", "admitted", "in", "the", "year", "less", "than", "2173", "were", "diagnosed", "with", "ac", "salpingo", "-", "oophoritis", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2173\"", "AND", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"Ac", "salpingo-oophoritis\""]}
{"key": "8412f1e49973d10caff572e2e132ff72", "format": {"table": [0, 1], "cond": [[0, 22, 2, 2112], [1, 3, 0, "Chest pain NEC"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many of the patients admitted in the year less than 2112 were diagnosed with chest pain nec?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"ADMITYEAR\" < \"2112\" AND DIAGNOSES.\"SHORT_TITLE\" = \"Chest pain NEC\"", "question_refine_tok": ["how", "many", "of", "the", "patients", "admitted", "in", "the", "year", "less", "than", "2112", "were", "diagnosed", "with", "chest", "pain", "nec", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2112\"", "AND", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"Chest", "pain", "NEC\""]}
{"key": "877f04eb9833f04f2862fc716b001395", "format": {"table": [0, 1], "cond": [[0, 22, 2, 2154], [1, 3, 0, "Full incontinence-feces"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "tell me the number of patients with a diagnoses of full incontinence of feces who were admitted before the year 2154.", "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\" = \"Full incontinence-feces\"", "question_refine_tok": ["tell", "me", "the", "number", "of", "patients", "with", "a", "diagnoses", "of", "full", "incontinence", "of", "feces", "who", "were", "admitted", "before", "the", "year", "2154", "."], "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\"", "=", "\"Full", "incontinence-feces\""]}
{"key": "9fa8ef22b161a69988711ef9cb37abc9", "format": {"table": [0, 1], "cond": [[0, 22, 2, 2145], [1, 3, 0, "Syncope and collapse"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients are admitted before the year 2145 and diagnosed with syncope and collapse?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"ADMITYEAR\" < \"2145\" AND DIAGNOSES.\"SHORT_TITLE\" = \"Syncope and collapse\"", "question_refine_tok": ["how", "many", "patients", "are", "admitted", "before", "the", "year", "2145", "and", "diagnosed", "with", "syncope", "and", "collapse", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2145\"", "AND", "DIAGNOSES.\"SHORT_TITLE\"", "=", "\"Syncope", "and", "collapse\""]}
{"key": "8214f3889146d612348c9eb4d86ce408", "format": {"table": [0, 1], "cond": [[0, 22, 2, 2138], [1, 4, 0, "Unspecified schizophrenia, unspecified"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "find the number of patients admitted before 2138 who had unspecified schizophrenia, unspecified diagnoses.", "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\" = \"Unspecified schizophrenia, unspecified\"", "question_refine_tok": ["find", "the", "number", "of", "patients", "admitted", "before", "2138", "who", "had", "unspecified", "schizophrenia", ",", "unspecified", "diagnoses", "."], "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\"", "=", "\"Unspecified", "schizophrenia,", "unspecified\""]}
{"key": "86e5e1517891514bdb1d0018f85f9a34", "format": {"table": [0, 1], "cond": [[0, 22, 2, 2112], [1, 4, 0, "Retained plastic fragments"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many number of patients are with admission year below 2112 diagnosed with retained plastic fragments?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"ADMITYEAR\" < \"2112\" AND DIAGNOSES.\"LONG_TITLE\" = \"Retained plastic fragments\"", "question_refine_tok": ["how", "many", "number", "of", "patients", "are", "with", "admission", "year", "below", "2112", "diagnosed", "with", "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.\"ADMITYEAR\"", "<", "\"2112\"", "AND", "DIAGNOSES.\"LONG_TITLE\"", "=", "\"Retained", "plastic", "fragments\""]}
{"key": "00c91f40bec29a121a7c95c4a3a4fa87", "format": {"table": [0, 2], "cond": [[0, 22, 2, 2137], [2, 2, 0, 3972]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of patients whose admission year is before 2137 with procedure icd9 code 3972?", "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\" = \"3972\"", "question_refine_tok": ["what", "is", "the", "number", "of", "patients", "whose", "admission", "year", "is", "before", "2137", "with", "procedure", "icd9", "code", "3972", "?"], "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\"", "=", "\"3972\""]}
{"key": "8385c7828a91dfb287c01c8c00c801d6", "format": {"table": [0, 2], "cond": [[0, 22, 2, 2103], [2, 2, 0, 93]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients were admitted before the year 2103 and underwent procedure under icd9 code 93?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"ADMITYEAR\" < \"2103\" AND PROCEDURES.\"ICD9_CODE\" = \"93\"", "question_refine_tok": ["how", "many", "patients", "were", "admitted", "before", "the", "year", "2103", "and", "underwent", "procedure", "under", "icd9", "code", "93", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2103\"", "AND", "PROCEDURES.\"ICD9_CODE\"", "=", "\"93\""]}
{"key": "8905a4c9ce097875ed1f8db4c3ff14bd", "format": {"table": [0, 2], "cond": [[0, 22, 2, 2166], [2, 2, 0, 5011]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of patients admitted before 2166 with procedure icd9 code 5011?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"ADMITYEAR\" < \"2166\" AND PROCEDURES.\"ICD9_CODE\" = \"5011\"", "question_refine_tok": ["what", "is", "the", "number", "of", "patients", "admitted", "before", "2166", "with", "procedure", "icd9", "code", "5011", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2166\"", "AND", "PROCEDURES.\"ICD9_CODE\"", "=", "\"5011\""]}
{"key": "87689c7809bf255181fa07418161d05b", "format": {"table": [0, 2], "cond": [[0, 22, 2, 2167], [2, 3, 0, "Adm inhal nitric oxide"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients were admitted to the hospital before year 2167 and whose procedure short title is adm inhal nitric oxide?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"ADMITYEAR\" < \"2167\" AND PROCEDURES.\"SHORT_TITLE\" = \"Adm inhal nitric oxide\"", "question_refine_tok": ["how", "many", "patients", "were", "admitted", "to", "the", "hospital", "before", "year", "2167", "and", "whose", "procedure", "short", "title", "is", "adm", "inhal", "nitric", "oxide", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2167\"", "AND", "PROCEDURES.\"SHORT_TITLE\"", "=", "\"Adm", "inhal", "nitric", "oxide\""]}
{"key": "9573ec5367c02c9833ccab2080693edf", "format": {"table": [0, 3], "cond": [[0, 22, 2, 2154], [3, 6, 0, "DIALYS"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of patients who have dialys route of drug administration and were admitted before 2154?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"ADMITYEAR\" < \"2154\" AND PRESCRIPTIONS.\"ROUTE\" = \"DIALYS\"", "question_refine_tok": ["what", "is", "the", "number", "of", "patients", "who", "have", "dialys", "route", "of", "drug", "administration", "and", "were", "admitted", "before", "2154", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2154\"", "AND", "PRESCRIPTIONS.\"ROUTE\"", "=", "\"DIALYS\""]}
{"key": "81b5be8c3f3f6d80a55a59f385e43659", "format": {"table": [0, 3], "cond": [[0, 22, 2, 2167], [3, 6, 0, "TP"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "what is the number of patients whose drug route is tp and admission year is before 2167?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"ADMITYEAR\" < \"2167\" AND PRESCRIPTIONS.\"ROUTE\" = \"TP\"", "question_refine_tok": ["what", "is", "the", "number", "of", "patients", "whose", "drug", "route", "is", "tp", "and", "admission", "year", "is", "before", "2167", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2167\"", "AND", "PRESCRIPTIONS.\"ROUTE\"", "=", "\"TP\""]}
{"key": "a8f454b305ca58863f8acb1e275043cd", "format": {"table": [0, 4], "cond": [[0, 22, 2, 2156], [4, 2, 0, 51383]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "among patients admitted in the year less than 2156, how many had item id 51383?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"ADMITYEAR\" < \"2156\" AND LAB.\"ITEMID\" = \"51383\"", "question_refine_tok": ["among", "patients", "admitted", "in", "the", "year", "less", "than", "2156", ",", "how", "many", "had", "item", "i", "d", "51383", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2156\"", "AND", "LAB.\"ITEMID\"", "=", "\"51383\""]}
{"key": "a931fe64ae8d250a39e2aab3a9ca6d35", "format": {"table": [0, 4], "cond": [[0, 22, 2, 2120], [4, 2, 0, 51044]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients admitted before the year 2120 had the lab test item id 51044?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"ADMITYEAR\" < \"2120\" AND LAB.\"ITEMID\" = \"51044\"", "question_refine_tok": ["how", "many", "patients", "admitted", "before", "the", "year", "2120", "had", "the", "lab", "test", "item", "i", "d", "51044", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2120\"", "AND", "LAB.\"ITEMID\"", "=", "\"51044\""]}
{"key": "8e4ac03622a29fc33cb3db508067755b", "format": {"table": [0, 4], "cond": [[0, 22, 2, 2129], [4, 6, 0, "RBC, Pleural"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "give me the number of patients admitted before the year 2129 whose lab test name is rbc, pleural.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"ADMITYEAR\" < \"2129\" AND LAB.\"LABEL\" = \"RBC, Pleural\"", "question_refine_tok": ["give", "me", "the", "number", "of", "patients", "admitted", "before", "the", "year", "2129", "whose", "lab", "test", "name", "is", "rbc", ",", "pleural", "."], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"ADMITYEAR\"", "<", "\"2129\"", "AND", "LAB.\"LABEL\"", "=", "\"RBC,", "Pleural\""]}
{"key": "0782eff13b2a6fe1c1f0fb94270bb9c4", "format": {"table": [0, 4], "cond": [[0, 22, 2, 2158], [4, 6, 0, "Thyroxine (T4)"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of patients who were admitted before 2158 and had thyroxine (t4) lab test.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"ADMITYEAR\" < \"2158\" AND LAB.\"LABEL\" = \"Thyroxine (T4)\"", "question_refine_tok": ["count", "the", "number", "of", "patients", "who", "were", "admitted", "before", "2158", "and", "had", "thyroxine", "(", "t4", ")", "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\"", "<", "\"2158\"", "AND", "LAB.\"LABEL\"", "=", "\"Thyroxine", "(T4)\""]}
{"key": "0210d3905a34c79042a4d7e986f358a5", "format": {"table": [0, 4], "cond": [[0, 22, 2, 2123], [4, 8, 0, "Chemistry"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "calculate the total number of patients admitted in the year less than 2123, who had a 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.\"ADMITYEAR\" < \"2123\" AND LAB.\"CATEGORY\" = \"Chemistry\"", "question_refine_tok": ["calculate", "the", "total", "number", "of", "patients", "admitted", "in", "the", "year", "less", "than", "2123", ",", "who", "had", "a", "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.\"ADMITYEAR\"", "<", "\"2123\"", "AND", "LAB.\"CATEGORY\"", "=", "\"Chemistry\""]}
{"key": "836465719f3fb798cb45b66ac582843f", "format": {"table": [0, 4], "cond": [[0, 22, 2, 2124], [4, 8, 0, "Chemistry"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "count the number of patients admitted before 2124 categorized under chemistry lab test.", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"ADMITYEAR\" < \"2124\" AND LAB.\"CATEGORY\" = \"Chemistry\"", "question_refine_tok": ["count", "the", "number", "of", "patients", "admitted", "before", "2124", "categorized", "under", "chemistry", "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\"", "<", "\"2124\"", "AND", "LAB.\"CATEGORY\"", "=", "\"Chemistry\""]}
{"key": "a4bede9ac4d227fba14b6e58ffee4fe8", "format": {"table": [0, 1, 3], "cond": [[1, 2, 0, "4464"], [3, 3, 0, "BASE"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many of the patients diagnosed with icd9 code 4464 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.\"ICD9_CODE\" = \"4464\" AND PRESCRIPTIONS.\"DRUG_TYPE\" = \"BASE\"", "question_refine_tok": ["how", "many", "of", "the", "patients", "diagnosed", "with", "icd9", "code", "4464", "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.\"ICD9_CODE\"", "=", "\"4464\"", "AND", "PRESCRIPTIONS.\"DRUG_TYPE\"", "=", "\"BASE\""]}
{"key": "8e6282194cccfa0e8fc65e02a9e1a47f", "format": {"table": [0, 1, 4], "cond": [[1, 2, 0, "53190"], [4, 4, 0, "delta"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients with diagnoses icd9 code 53190 have 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\" = \"53190\" AND LAB.\"FLAG\" = \"delta\"", "question_refine_tok": ["how", "many", "patients", "with", "diagnoses", "icd9", "code", "53190", "have", "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\"", "=", "\"53190\"", "AND", "LAB.\"FLAG\"", "=", "\"delta\""]}
{"key": "879e430064f5011919b19ba70a193bc9", "format": {"table": [0, 1, 4], "cond": [[1, 2, 0, "76528"], [4, 8, 0, "Chemistry"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "give me the number of patients who were diagnosed under icd9 code 76528 and also their 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.\"ICD9_CODE\" = \"76528\" AND LAB.\"CATEGORY\" = \"Chemistry\"", "question_refine_tok": ["give", "me", "the", "number", "of", "patients", "who", "were", "diagnosed", "under", "icd9", "code", "76528", "and", "also", "their", "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.\"ICD9_CODE\"", "=", "\"76528\"", "AND", "LAB.\"CATEGORY\"", "=", "\"Chemistry\""]}
{"key": "0889b8c37decb7cd8458fd44dc8b8bb5", "format": {"table": [0, 1, 3], "cond": [[1, 3, 0, "Polycythemia vera"], [3, 3, 0, "MAIN"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients with polycythemia were treated with main 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.\"SHORT_TITLE\" = \"Polycythemia vera\" AND PRESCRIPTIONS.\"DRUG_TYPE\" = \"MAIN\"", "question_refine_tok": ["how", "many", "patients", "with", "polycythemia", "were", "treated", "with", "main", "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.\"SHORT_TITLE\"", "=", "\"Polycythemia", "vera\"", "AND", "PRESCRIPTIONS.\"DRUG_TYPE\"", "=", "\"MAIN\""]}
{"key": "a9d3922a87c08a9303cca4b529bb1bdc", "format": {"table": [0, 1, 3], "cond": [[1, 3, 0, "Adv eff antineoplastic"], [3, 6, 0, "PR"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "report the number of patients on pr route of drug administration who were diagnosed with antineoplastic and immunosuppressive drugs 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 antineoplastic\" AND PRESCRIPTIONS.\"ROUTE\" = \"PR\"", "question_refine_tok": ["report", "the", "number", "of", "patients", "on", "pr", "route", "of", "drug", "administration", "who", "were", "diagnosed", "with", "antineoplastic", "and", "immunosuppressive", "drugs", "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", "antineoplastic\"", "AND", "PRESCRIPTIONS.\"ROUTE\"", "=", "\"PR\""]}
{"key": "823634609ee30ffe023353e3f58c68ad", "format": {"table": [0, 1, 4], "cond": [[1, 3, 0, "History of tobacco use"], [4, 8, 0, "Blood Gas"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients are diagnosed with the history of tobacco use and tested under lab category - 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.\"SHORT_TITLE\" = \"History of tobacco use\" AND LAB.\"CATEGORY\" = \"Blood Gas\"", "question_refine_tok": ["how", "many", "patients", "are", "diagnosed", "with", "the", "history", "of", "tobacco", "use", "and", "tested", "under", "lab", "category", "-", "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.\"SHORT_TITLE\"", "=", "\"History", "of", "tobacco", "use\"", "AND", "LAB.\"CATEGORY\"", "=", "\"Blood", "Gas\""]}
{"key": "0cf005065d0b57f881548f2a461ceaa9", "format": {"table": [0, 1, 3], "cond": [[1, 4, 0, "Other and unspecified coagulation defects"], [3, 3, 0, "ADDITIVE"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients diagnosed with unspecified coagulation defects were prescribed additive 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.\"LONG_TITLE\" = \"Other and unspecified coagulation defects\" AND PRESCRIPTIONS.\"DRUG_TYPE\" = \"ADDITIVE\"", "question_refine_tok": ["how", "many", "patients", "diagnosed", "with", "unspecified", "coagulation", "defects", "were", "prescribed", "additive", "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.\"LONG_TITLE\"", "=", "\"Other", "and", "unspecified", "coagulation", "defects\"", "AND", "PRESCRIPTIONS.\"DRUG_TYPE\"", "=", "\"ADDITIVE\""]}
{"key": "ade3038af3cee4bf7d6dad698f9a4b7b", "format": {"table": [0, 1, 3], "cond": [[1, 4, 0, "Opioid type dependence, unspecified"], [3, 6, 0, "TD"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients diagnosed with opioid type dependence,unspecified have td 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.\"LONG_TITLE\" = \"Opioid type dependence, unspecified\" AND PRESCRIPTIONS.\"ROUTE\" = \"TD\"", "question_refine_tok": ["how", "many", "patients", "diagnosed", "with", "opioid", "type", "dependence", ",", "unspecified", "have", "td", "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.\"LONG_TITLE\"", "=", "\"Opioid", "type", "dependence,", "unspecified\"", "AND", "PRESCRIPTIONS.\"ROUTE\"", "=", "\"TD\""]}
{"key": "0c2ef79ee5525ce0ca1b3136fba43436", "format": {"table": [0, 2, 3], "cond": [[2, 2, 0, 4576], [3, 6, 0, "IV BOLUS"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "provide the number of patients whose procedure icd9 code is 4576 and drug route is iv bolus", "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\" = \"4576\" AND PRESCRIPTIONS.\"ROUTE\" = \"IV BOLUS\"", "question_refine_tok": ["provide", "the", "number", "of", "patients", "whose", "procedure", "icd9", "code", "is", "4576", "and", "drug", "route", "is", "iv", "bolus"], "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\"", "=", "\"4576\"", "AND", "PRESCRIPTIONS.\"ROUTE\"", "=", "\"IV", "BOLUS\""]}
{"key": "95c9f21405c27dccc93ef6c419bf3626", "format": {"table": [0, 4], "cond": [[4, 2, 0, 51255], [4, 4, 0, "abnormal"]], "agg_col": [[0, 0]], "sel": 1}, "question_refine": "how many patients have abnormal lab test status with lab test item id 51255?", "sql": "SELECT COUNT ( DISTINCT DEMOGRAPHIC.\"SUBJECT_ID\" ) FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE LAB.\"ITEMID\" = \"51255\" AND LAB.\"FLAG\" = \"abnormal\"", "question_refine_tok": ["how", "many", "patients", "have", "abnormal", "lab", "test", "status", "with", "lab", "test", "item", "i", "d", "51255", "?"], "sql_tok": ["SELECT", "COUNT", "(", "DISTINCT", "DEMOGRAPHIC.\"SUBJECT_ID\"", ")", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "LAB.\"ITEMID\"", "=", "\"51255\"", "AND", "LAB.\"FLAG\"", "=", "\"abnormal\""]}
{"key": "8f55194c343ff824217a7b21628ce8df", "format": {"table": [0], "cond": [[0, 0, 0, 2560]], "agg_col": [[0, 8]], "sel": 0}, "question_refine": "find the religion of subject id 2560.", "sql": "SELECT DEMOGRAPHIC.\"RELIGION\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"2560\"", "question_refine_tok": ["find", "the", "religion", "of", "subject", "i", "d", "2560", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"RELIGION\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"2560\""]}
{"key": "90ee181da18bcfa8845875faca250b0b", "format": {"table": [0], "cond": [[0, 0, 0, 2560]], "agg_col": [[0, 9]], "sel": 0}, "question_refine": "specify the admission type of patient with patient id 2560.", "sql": "SELECT DEMOGRAPHIC.\"ADMISSION_TYPE\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"2560\"", "question_refine_tok": ["specify", "the", "admission", "type", "of", "patient", "with", "patient", "i", "d", "2560", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"ADMISSION_TYPE\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"2560\""]}
{"key": "a4df1c06ae50974eb35454fea26ee559", "format": {"table": [0], "cond": [[0, 0, 0, 2560]], "agg_col": [[0, 12]], "sel": 0}, "question_refine": "specify ethnic origin of patient id 2560", "sql": "SELECT DEMOGRAPHIC.\"ETHNICITY\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"2560\"", "question_refine_tok": ["specify", "ethnic", "origin", "of", "patient", "i", "d", "2560"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"ETHNICITY\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"2560\""]}
{"key": "9ac0e0d4bfb323232d30e9ed3deaec6f", "format": {"table": [0], "cond": [[0, 0, 0, 2560]], "agg_col": [[0, 14]], "sel": 0}, "question_refine": "what is the admission location of subject id 2560?", "sql": "SELECT DEMOGRAPHIC.\"ADMISSION_LOCATION\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"2560\"", "question_refine_tok": ["what", "is", "the", "admission", "location", "of", "subject", "i", "d", "2560", "?"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"ADMISSION_LOCATION\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"2560\""]}
{"key": "96386b9da21f0970e7a61190fe3ea6e1", "format": {"table": [0], "cond": [[0, 0, 0, 2560]], "agg_col": [[0, 20]], "sel": 0}, "question_refine": "at what time was the patient with patient id 2560 admitted in hospital?", "sql": "SELECT DEMOGRAPHIC.\"ADMITTIME\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"2560\"", "question_refine_tok": ["at", "what", "time", "was", "the", "patient", "with", "patient", "i", "d", "2560", "admitted", "in", "hospital", "?"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"ADMITTIME\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"2560\""]}
{"key": "0300bf805faa92cd8547894672e7dc4f", "format": {"table": [3], "cond": [[3, 0, 0, 2560]], "agg_col": [[3, 2]], "sel": 0}, "question_refine": "tell me the icu stay id of the patient with patient id 2560.", "sql": "SELECT PRESCRIPTIONS.\"ICUSTAY_ID\" FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.\"SUBJECT_ID\" = \"2560\"", "question_refine_tok": ["tell", "me", "the", "icu", "stay", "i", "d", "of", "the", "patient", "with", "patient", "i", "d", "2560", "."], "sql_tok": ["SELECT", "PRESCRIPTIONS.\"ICUSTAY_ID\"", "FROM", "PRESCRIPTIONS", "WHERE", "PRESCRIPTIONS.\"SUBJECT_ID\"", "=", "\"2560\""]}
{"key": "8e4f2450d232947ef620cb4b261579f2", "format": {"table": [4], "cond": [[4, 0, 0, 2560]], "agg_col": [[4, 4]], "sel": 0}, "question_refine": "give the lab test results of patient id 2560.", "sql": "SELECT LAB.\"FLAG\" FROM LAB WHERE LAB.\"SUBJECT_ID\" = \"2560\"", "question_refine_tok": ["give", "the", "lab", "test", "results", "of", "patient", "i", "d", "2560", "."], "sql_tok": ["SELECT", "LAB.\"FLAG\"", "FROM", "LAB", "WHERE", "LAB.\"SUBJECT_ID\"", "=", "\"2560\""]}
{"key": "85b8122d33f83e2e347667f686b01923", "format": {"table": [4], "cond": [[4, 0, 0, 2560]], "agg_col": [[4, 6]], "sel": 0}, "question_refine": "bring me the lab test name of the patient with patient id 2560.", "sql": "SELECT LAB.\"LABEL\" FROM LAB WHERE LAB.\"SUBJECT_ID\" = \"2560\"", "question_refine_tok": ["bring", "me", "the", "lab", "test", "name", "of", "the", "patient", "with", "patient", "i", "d", "2560", "."], "sql_tok": ["SELECT", "LAB.\"LABEL\"", "FROM", "LAB", "WHERE", "LAB.\"SUBJECT_ID\"", "=", "\"2560\""]}
{"key": "0aa9447c3469cd02b865dfa7719d49fc", "format": {"table": [0], "cond": [[0, 0, 0, 2560]], "agg_col": [[0, 2], [0, 4]], "sel": 0}, "question_refine": "let me know the age and name of patient with patient id 2560.", "sql": "SELECT DEMOGRAPHIC.\"NAME\",DEMOGRAPHIC.\"AGE\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"2560\"", "question_refine_tok": ["let", "me", "know", "the", "age", "and", "name", "of", "patient", "with", "patient", "i", "d", "2560", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"NAME\",DEMOGRAPHIC.\"AGE\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"2560\""]}
{"key": "8f18423f8d3275ea02e399fc8ac60b11", "format": {"table": [0], "cond": [[0, 0, 0, 2560]], "agg_col": [[0, 2], [0, 6]], "sel": 0}, "question_refine": "tell me the gender and name of patient with patient id 2560.", "sql": "SELECT DEMOGRAPHIC.\"NAME\",DEMOGRAPHIC.\"GENDER\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"2560\"", "question_refine_tok": ["tell", "me", "the", "gender", "and", "name", "of", "patient", "with", "patient", "i", "d", "2560", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"NAME\",DEMOGRAPHIC.\"GENDER\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"2560\""]}
{"key": "9c392d2c88c6189f9251d0bd435033a9", "format": {"table": [0], "cond": [[0, 0, 0, 2560]], "agg_col": [[0, 2], [0, 20]], "sel": 0}, "question_refine": "tell me the time of admission and name of the patient with patient id 2560.", "sql": "SELECT DEMOGRAPHIC.\"NAME\",DEMOGRAPHIC.\"ADMITTIME\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"2560\"", "question_refine_tok": ["tell", "me", "the", "time", "of", "admission", "and", "name", "of", "the", "patient", "with", "patient", "i", "d", "2560", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"NAME\",DEMOGRAPHIC.\"ADMITTIME\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"2560\""]}
{"key": "0e56b87b438922c7950eeb5d9058c983", "format": {"table": [0], "cond": [[0, 0, 0, 2560]], "agg_col": [[0, 4], [0, 12]], "sel": 0}, "question_refine": "what is the age and ethnicity of the patient id 2560?", "sql": "SELECT DEMOGRAPHIC.\"AGE\",DEMOGRAPHIC.\"ETHNICITY\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"2560\"", "question_refine_tok": ["what", "is", "the", "age", "and", "ethnicity", "of", "the", "patient", "i", "d", "2560", "?"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"AGE\",DEMOGRAPHIC.\"ETHNICITY\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"2560\""]}
{"key": "90edf3709e8df1784f2d3fda1a16252c", "format": {"table": [0], "cond": [[0, 0, 0, 2560]], "agg_col": [[0, 4], [0, 14]], "sel": 0}, "question_refine": "tell me the age and location of admission for the patient with patient id 2560.", "sql": "SELECT DEMOGRAPHIC.\"AGE\",DEMOGRAPHIC.\"ADMISSION_LOCATION\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"2560\"", "question_refine_tok": ["tell", "me", "the", "age", "and", "location", "of", "admission", "for", "the", "patient", "with", "patient", "i", "d", "2560", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"AGE\",DEMOGRAPHIC.\"ADMISSION_LOCATION\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"2560\""]}
{"key": "019e8cc13b5a6753a90808feb7e87e1b", "format": {"table": [0, 1], "cond": [[0, 0, 0, 2560]], "agg_col": [[0, 4], [1, 2]], "sel": 0}, "question_refine": "what is the age and diagnosis icd9 code of subject id 2560?", "sql": "SELECT DEMOGRAPHIC.\"AGE\",DIAGNOSES.\"ICD9_CODE\" FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"2560\"", "question_refine_tok": ["what", "is", "the", "age", "and", "diagnosis", "icd9", "code", "of", "subject", "i", "d", "2560", "?"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"AGE\",DIAGNOSES.\"ICD9_CODE\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"2560\""]}
{"key": "a72b27d87f1604c13e39e7d4e5b4ff46", "format": {"table": [0, 3], "cond": [[0, 0, 0, 2560]], "agg_col": [[0, 4], [3, 4]], "sel": 0}, "question_refine": "specify the age of patient id 2560 and drug name he was treated with", "sql": "SELECT DEMOGRAPHIC.\"AGE\",PRESCRIPTIONS.\"DRUG\" FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"2560\"", "question_refine_tok": ["specify", "the", "age", "of", "patient", "i", "d", "2560", "and", "drug", "name", "he", "was", "treated", "with"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"AGE\",PRESCRIPTIONS.\"DRUG\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"2560\""]}
{"key": "841e216a58a14d3c9464750a1b9b112a", "format": {"table": [0], "cond": [[0, 0, 0, 2560]], "agg_col": [[0, 5], [0, 6]], "sel": 0}, "question_refine": "let me know the gender and birth date of patient with patient id 2560.", "sql": "SELECT DEMOGRAPHIC.\"DOB\",DEMOGRAPHIC.\"GENDER\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"2560\"", "question_refine_tok": ["let", "me", "know", "the", "gender", "and", "birth", "date", "of", "patient", "with", "patient", "i", "d", "2560", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DOB\",DEMOGRAPHIC.\"GENDER\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"2560\""]}
{"key": "013f6c92a36d259b5c0c379312966415", "format": {"table": [0], "cond": [[0, 0, 0, 2560]], "agg_col": [[0, 6], [0, 10]], "sel": 0}, "question_refine": "let me know the gender and days for which patient with patient id 2560 was admitted.", "sql": "SELECT DEMOGRAPHIC.\"GENDER\",DEMOGRAPHIC.\"DAYS_STAY\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"2560\"", "question_refine_tok": ["let", "me", "know", "the", "gender", "and", "days", "for", "which", "patient", "with", "patient", "i", "d", "2560", "was", "admitted", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"GENDER\",DEMOGRAPHIC.\"DAYS_STAY\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"2560\""]}
{"key": "0865071639569180742a822ef4d6ec79", "format": {"table": [0, 1], "cond": [[0, 0, 0, 2560]], "agg_col": [[0, 6], [1, 2]], "sel": 0}, "question_refine": "what is the gender and diagnosis icd9 code of the patient id 2560?", "sql": "SELECT DEMOGRAPHIC.\"GENDER\",DIAGNOSES.\"ICD9_CODE\" FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"2560\"", "question_refine_tok": ["what", "is", "the", "gender", "and", "diagnosis", "icd9", "code", "of", "the", "patient", "i", "d", "2560", "?"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"GENDER\",DIAGNOSES.\"ICD9_CODE\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"2560\""]}
{"key": "01e495e69e3444418dd0a16b3dbc3827", "format": {"table": [0, 1], "cond": [[0, 0, 0, 2560]], "agg_col": [[0, 6], [1, 3]], "sel": 0}, "question_refine": "let me know the gender and short title of diagnoses for patient with patient id 2560.", "sql": "SELECT DEMOGRAPHIC.\"GENDER\",DIAGNOSES.\"SHORT_TITLE\" FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"2560\"", "question_refine_tok": ["let", "me", "know", "the", "gender", "and", "short", "title", "of", "diagnoses", "for", "patient", "with", "patient", "i", "d", "2560", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"GENDER\",DIAGNOSES.\"SHORT_TITLE\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"2560\""]}
{"key": "0df0d1bfc8c469daedeb651e5ca26919", "format": {"table": [0, 2], "cond": [[0, 0, 0, 2560]], "agg_col": [[0, 6], [2, 2]], "sel": 0}, "question_refine": "tell me the gender and procedure icd9 code of patient with patient id 2560.", "sql": "SELECT DEMOGRAPHIC.\"GENDER\",PROCEDURES.\"ICD9_CODE\" FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"2560\"", "question_refine_tok": ["tell", "me", "the", "gender", "and", "procedure", "icd9", "code", "of", "patient", "with", "patient", "i", "d", "2560", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"GENDER\",PROCEDURES.\"ICD9_CODE\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"2560\""]}
{"key": "9c1c99acd4928c03d0fe9b39e929e3d2", "format": {"table": [0, 4], "cond": [[0, 0, 0, 2560]], "agg_col": [[0, 6], [4, 2]], "sel": 0}, "question_refine": "for patient id 2560, specify gender and item id. ", "sql": "SELECT DEMOGRAPHIC.\"GENDER\",LAB.\"ITEMID\" 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", "gender", "and", "item", "i", "d", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"GENDER\",LAB.\"ITEMID\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"2560\""]}
{"key": "90ea3f943491a9110aa016d6d613cba8", "format": {"table": [0, 4], "cond": [[0, 0, 0, 2560]], "agg_col": [[0, 6], [4, 4]], "sel": 0}, "question_refine": "let me know the gender and lab test abnormal status of patient with patient id 2560.", "sql": "SELECT DEMOGRAPHIC.\"GENDER\",LAB.\"FLAG\" FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"2560\"", "question_refine_tok": ["let", "me", "know", "the", "gender", "and", "lab", "test", "abnormal", "status", "of", "patient", "with", "patient", "i", "d", "2560", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"GENDER\",LAB.\"FLAG\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"2560\""]}
{"key": "8b3b7d60621a3316c1c33500b8f4243d", "format": {"table": [0, 4], "cond": [[0, 0, 0, 2560]], "agg_col": [[0, 6], [4, 6]], "sel": 0}, "question_refine": "get me the gender and name of lab test for patient with patient id 2560.", "sql": "SELECT DEMOGRAPHIC.\"GENDER\",LAB.\"LABEL\" FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"2560\"", "question_refine_tok": ["get", "me", "the", "gender", "and", "name", "of", "lab", "test", "for", "patient", "with", "patient", "i", "d", "2560", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"GENDER\",LAB.\"LABEL\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"2560\""]}
{"key": "aa022b1cc5c7397eb610009350ab2fe2", "format": {"table": [0], "cond": [[0, 0, 0, 2560]], "agg_col": [[0, 9], [0, 13]], "sel": 0}, "question_refine": "mention the admission type and death status of the patient with patient id 2560.", "sql": "SELECT DEMOGRAPHIC.\"ADMISSION_TYPE\",DEMOGRAPHIC.\"EXPIRE_FLAG\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"2560\"", "question_refine_tok": ["mention", "the", "admission", "type", "and", "death", "status", "of", "the", "patient", "with", "patient", "i", "d", "2560", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"ADMISSION_TYPE\",DEMOGRAPHIC.\"EXPIRE_FLAG\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"2560\""]}
{"key": "8769210e7e36fb15bd7f3441ac74704f", "format": {"table": [0], "cond": [[0, 0, 0, 2560]], "agg_col": [[0, 9], [0, 16]], "sel": 0}, "question_refine": "tell me the admission type and primary disease of subject id 2560.", "sql": "SELECT DEMOGRAPHIC.\"ADMISSION_TYPE\",DEMOGRAPHIC.\"DIAGNOSIS\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"2560\"", "question_refine_tok": ["tell", "me", "the", "admission", "type", "and", "primary", "disease", "of", "subject", "i", "d", "2560", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"ADMISSION_TYPE\",DEMOGRAPHIC.\"DIAGNOSIS\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"2560\""]}
{"key": "9da49c29363fd75f4415f0a45bc818e7", "format": {"table": [0, 2], "cond": [[0, 0, 0, 2560]], "agg_col": [[0, 9], [2, 2]], "sel": 0}, "question_refine": "let me know the type of admission and procedure ic9 code for patient with patient id 2560.", "sql": "SELECT DEMOGRAPHIC.\"ADMISSION_TYPE\",PROCEDURES.\"ICD9_CODE\" FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"2560\"", "question_refine_tok": ["let", "me", "know", "the", "type", "of", "admission", "and", "procedure", "ic9", "code", "for", "patient", "with", "patient", "i", "d", "2560", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"ADMISSION_TYPE\",PROCEDURES.\"ICD9_CODE\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"2560\""]}
{"key": "89a92f1bd2e74cecb90195b6d5cd860f", "format": {"table": [0, 4], "cond": [[0, 0, 0, 2560]], "agg_col": [[0, 9], [4, 6]], "sel": 0}, "question_refine": "what is the admission type and lab test name for the patient id 2560?", "sql": "SELECT DEMOGRAPHIC.\"ADMISSION_TYPE\",LAB.\"LABEL\" 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", "test", "name", "for", "the", "patient", "i", "d", "2560", "?"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"ADMISSION_TYPE\",LAB.\"LABEL\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"2560\""]}
{"key": "0f8f5ea7b7f14f7015f7442d242c547d", "format": {"table": [0], "cond": [[0, 0, 0, 2560]], "agg_col": [[0, 10], [0, 16]], "sel": 0}, "question_refine": "mention the duration os hospital stay and the primary disease of subject id 2560.", "sql": "SELECT DEMOGRAPHIC.\"DAYS_STAY\",DEMOGRAPHIC.\"DIAGNOSIS\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"2560\"", "question_refine_tok": ["mention", "the", "duration", "os", "hospital", "stay", "and", "the", "primary", "disease", "of", "subject", "i", "d", "2560", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DAYS_STAY\",DEMOGRAPHIC.\"DIAGNOSIS\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"2560\""]}
{"key": "0c6330427069e970ee4be464f3c99c48", "format": {"table": [0], "cond": [[0, 0, 0, 2560]], "agg_col": [[0, 10], [0, 17]], "sel": 0}, "question_refine": "what is the days of hospital stay and date of death of subject id 2560?", "sql": "SELECT DEMOGRAPHIC.\"DAYS_STAY\",DEMOGRAPHIC.\"DOD\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"2560\"", "question_refine_tok": ["what", "is", "the", "days", "of", "hospital", "stay", "and", "date", "of", "death", "of", "subject", "i", "d", "2560", "?"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DAYS_STAY\",DEMOGRAPHIC.\"DOD\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"2560\""]}
{"key": "0002b22d84bc01ecf68cc95c5b6a28d8", "format": {"table": [0], "cond": [[0, 0, 0, 6983]], "agg_col": [[0, 2]], "sel": 0}, "question_refine": "what is the subject name of subject id 6983?", "sql": "SELECT DEMOGRAPHIC.\"NAME\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"6983\"", "question_refine_tok": ["what", "is", "the", "subject", "name", "of", "subject", "i", "d", "6983", "?"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"NAME\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"6983\""]}
{"key": "86eddf5b63dee431e8e258e630341a7d", "format": {"table": [0], "cond": [[0, 0, 0, 6983]], "agg_col": [[0, 6]], "sel": 0}, "question_refine": "find the gender of subject id 6983.", "sql": "SELECT DEMOGRAPHIC.\"GENDER\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"6983\"", "question_refine_tok": ["find", "the", "gender", "of", "subject", "i", "d", "6983", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"GENDER\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"6983\""]}
{"key": "896df25f5b715ec49f1df5714593388a", "format": {"table": [0], "cond": [[0, 0, 0, 6983]], "agg_col": [[0, 8]], "sel": 0}, "question_refine": "to which religious background does the patient with patient id 6983 belong to?", "sql": "SELECT DEMOGRAPHIC.\"RELIGION\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"6983\"", "question_refine_tok": ["to", "which", "religious", "background", "does", "the", "patient", "with", "patient", "i", "d", "6983", "belong", "to", "?"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"RELIGION\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"6983\""]}
{"key": "8e6fc76db9d8db496cef372a27ead890", "format": {"table": [0], "cond": [[0, 0, 0, 6983]], "agg_col": [[0, 17]], "sel": 0}, "question_refine": "on which date did the patient with patient id 6983 die?", "sql": "SELECT DEMOGRAPHIC.\"DOD\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"6983\"", "question_refine_tok": ["on", "which", "date", "did", "the", "patient", "with", "patient", "i", "d", "6983", "die", "?"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DOD\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"6983\""]}
{"key": "a668f0e1f166ac29ff6af5bb677710a8", "format": {"table": [0], "cond": [[0, 0, 0, 6983]], "agg_col": [[0, 21]], "sel": 0}, "question_refine": "find the discharge time for subject id 6983.", "sql": "SELECT DEMOGRAPHIC.\"DISCHTIME\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"6983\"", "question_refine_tok": ["find", "the", "discharge", "time", "for", "subject", "i", "d", "6983", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DISCHTIME\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"6983\""]}
{"key": "83657431596bda1d0854362f6a0df459", "format": {"table": [3], "cond": [[3, 0, 0, 6983]], "agg_col": [[3, 6]], "sel": 0}, "question_refine": "how is drug administered to patient with patient id 6983?", "sql": "SELECT PRESCRIPTIONS.\"ROUTE\" FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.\"SUBJECT_ID\" = \"6983\"", "question_refine_tok": ["how", "is", "drug", "administered", "to", "patient", "with", "patient", "i", "d", "6983", "?"], "sql_tok": ["SELECT", "PRESCRIPTIONS.\"ROUTE\"", "FROM", "PRESCRIPTIONS", "WHERE", "PRESCRIPTIONS.\"SUBJECT_ID\"", "=", "\"6983\""]}
{"key": "9af42f48310450fb7dec8a50ffe328fa", "format": {"table": [4], "cond": [[4, 0, 0, 6983]], "agg_col": [[4, 6]], "sel": 0}, "question_refine": "what is the lab test name of the patient id 6983?", "sql": "SELECT LAB.\"LABEL\" FROM LAB WHERE LAB.\"SUBJECT_ID\" = \"6983\"", "question_refine_tok": ["what", "is", "the", "lab", "test", "name", "of", "the", "patient", "i", "d", "6983", "?"], "sql_tok": ["SELECT", "LAB.\"LABEL\"", "FROM", "LAB", "WHERE", "LAB.\"SUBJECT_ID\"", "=", "\"6983\""]}
{"key": "90b82b03ca23ee905266d83b2d929e5b", "format": {"table": [4], "cond": [[4, 0, 0, 6983]], "agg_col": [[4, 8]], "sel": 0}, "question_refine": "provide the lab test category of subject id 6983.", "sql": "SELECT LAB.\"CATEGORY\" FROM LAB WHERE LAB.\"SUBJECT_ID\" = \"6983\"", "question_refine_tok": ["provide", "the", "lab", "test", "category", "of", "subject", "i", "d", "6983", "."], "sql_tok": ["SELECT", "LAB.\"CATEGORY\"", "FROM", "LAB", "WHERE", "LAB.\"SUBJECT_ID\"", "=", "\"6983\""]}
{"key": "a9e960146f15dc78dfdf7778cf79c3ba", "format": {"table": [0], "cond": [[0, 0, 0, 3343]], "agg_col": [[0, 16]], "sel": 0}, "question_refine": "what is the primary disease of the patient id 3343?", "sql": "SELECT DEMOGRAPHIC.\"DIAGNOSIS\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"SUBJECT_ID\" = \"3343\"", "question_refine_tok": ["what", "is", "the", "primary", "disease", "of", "the", "patient", "i", "d", "3343", "?"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DIAGNOSIS\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"SUBJECT_ID\"", "=", "\"3343\""]}
{"key": "81e957f6baa421e0530996027bcba9e4", "format": {"table": [1], "cond": [[1, 0, 0, 3343]], "agg_col": [[1, 4]], "sel": 0}, "question_refine": "find out the long title diagnosis of patient with patient id 3343.", "sql": "SELECT DIAGNOSES.\"LONG_TITLE\" FROM DIAGNOSES WHERE DIAGNOSES.\"SUBJECT_ID\" = \"3343\"", "question_refine_tok": ["find", "out", "the", "long", "title", "diagnosis", "of", "patient", "with", "patient", "i", "d", "3343", "."], "sql_tok": ["SELECT", "DIAGNOSES.\"LONG_TITLE\"", "FROM", "DIAGNOSES", "WHERE", "DIAGNOSES.\"SUBJECT_ID\"", "=", "\"3343\""]}
{"key": "a6ac3a97bbdef6c2de3b7385495aa9c6", "format": {"table": [2], "cond": [[2, 0, 0, 3343]], "agg_col": [[2, 2]], "sel": 0}, "question_refine": "what is the procedure icd9 code for the patient id 3343?", "sql": "SELECT PROCEDURES.\"ICD9_CODE\" FROM PROCEDURES WHERE PROCEDURES.\"SUBJECT_ID\" = \"3343\"", "question_refine_tok": ["what", "is", "the", "procedure", "icd9", "code", "for", "the", "patient", "i", "d", "3343", "?"], "sql_tok": ["SELECT", "PROCEDURES.\"ICD9_CODE\"", "FROM", "PROCEDURES", "WHERE", "PROCEDURES.\"SUBJECT_ID\"", "=", "\"3343\""]}
{"key": "a06103d0b80174c90f4ffe82cacf6544", "format": {"table": [3], "cond": [[3, 0, 0, 3343]], "agg_col": [[3, 2]], "sel": 0}, "question_refine": "find the icu stay id for the patient with patient id 3343.", "sql": "SELECT PRESCRIPTIONS.\"ICUSTAY_ID\" FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.\"SUBJECT_ID\" = \"3343\"", "question_refine_tok": ["find", "the", "icu", "stay", "i", "d", "for", "the", "patient", "with", "patient", "i", "d", "3343", "."], "sql_tok": ["SELECT", "PRESCRIPTIONS.\"ICUSTAY_ID\"", "FROM", "PRESCRIPTIONS", "WHERE", "PRESCRIPTIONS.\"SUBJECT_ID\"", "=", "\"3343\""]}
{"key": "bad2d6abfdc046ad49e7febca5a1d4ab", "format": {"table": [3], "cond": [[3, 0, 0, 3343]], "agg_col": [[3, 3]], "sel": 0}, "question_refine": "which type of drug is patient with patient id 3343 taking?", "sql": "SELECT PRESCRIPTIONS.\"DRUG_TYPE\" FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.\"SUBJECT_ID\" = \"3343\"", "question_refine_tok": ["which", "type", "of", "drug", "is", "patient", "with", "patient", "i", "d", "3343", "taking", "?"], "sql_tok": ["SELECT", "PRESCRIPTIONS.\"DRUG_TYPE\"", "FROM", "PRESCRIPTIONS", "WHERE", "PRESCRIPTIONS.\"SUBJECT_ID\"", "=", "\"3343\""]}
{"key": "0b4a379f793511d3b55083853b9eb1d7", "format": {"table": [3], "cond": [[3, 0, 0, 3343]], "agg_col": [[3, 5]], "sel": 0}, "question_refine": "find the drug code of subject id 3343.", "sql": "SELECT PRESCRIPTIONS.\"FORMULARY_DRUG_CD\" FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.\"SUBJECT_ID\" = \"3343\"", "question_refine_tok": ["find", "the", "drug", "code", "of", "subject", "i", "d", "3343", "."], "sql_tok": ["SELECT", "PRESCRIPTIONS.\"FORMULARY_DRUG_CD\"", "FROM", "PRESCRIPTIONS", "WHERE", "PRESCRIPTIONS.\"SUBJECT_ID\"", "=", "\"3343\""]}
{"key": "bb33d9ea342c4d53171831ac967d5204", "format": {"table": [0], "cond": [[0, 2, 0, "Jerry Deberry"]], "agg_col": [[0, 9]], "sel": 0}, "question_refine": "find out the type of admission patient jerry deberry had.", "sql": "SELECT DEMOGRAPHIC.\"ADMISSION_TYPE\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"NAME\" = \"Jerry Deberry\"", "question_refine_tok": ["find", "out", "the", "type", "of", "admission", "patient", "jerry", "deberry", "had", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"ADMISSION_TYPE\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Jerry", "Deberry\""]}
{"key": "8b566538fbaf86ce837bf39a65f2a86e", "format": {"table": [0], "cond": [[0, 2, 0, "Jerry Deberry"]], "agg_col": [[0, 10]], "sel": 0}, "question_refine": "how many days of hospital stay is for the patient name jerry deberry?", "sql": "SELECT DEMOGRAPHIC.\"DAYS_STAY\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"NAME\" = \"Jerry Deberry\"", "question_refine_tok": ["how", "many", "days", "of", "hospital", "stay", "is", "for", "the", "patient", "name", "jerry", "deberry", "?"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DAYS_STAY\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Jerry", "Deberry\""]}
{"key": "09a0bef7bbe0368bdd3ecdcf037d3927", "format": {"table": [0], "cond": [[0, 2, 0, "Jerry Deberry"]], "agg_col": [[0, 11]], "sel": 0}, "question_refine": "what is the insurance of the patient name jerry deberry?", "sql": "SELECT DEMOGRAPHIC.\"INSURANCE\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"NAME\" = \"Jerry Deberry\"", "question_refine_tok": ["what", "is", "the", "insurance", "of", "the", "patient", "name", "jerry", "deberry", "?"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"INSURANCE\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Jerry", "Deberry\""]}
{"key": "885fc05dd9e2816d96606e43d38a8e31", "format": {"table": [0], "cond": [[0, 2, 0, "Jerry Deberry"]], "agg_col": [[0, 16]], "sel": 0}, "question_refine": "what is the primary disease of the patient name jerry deberry?", "sql": "SELECT DEMOGRAPHIC.\"DIAGNOSIS\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"NAME\" = \"Jerry Deberry\"", "question_refine_tok": ["what", "is", "the", "primary", "disease", "of", "the", "patient", "name", "jerry", "deberry", "?"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DIAGNOSIS\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Jerry", "Deberry\""]}
{"key": "0c4acbfcf0acf32880529f8b2adcc64d", "format": {"table": [0, 1], "cond": [[0, 2, 0, "Jerry Deberry"]], "agg_col": [[1, 2]], "sel": 0}, "question_refine": "let me know the diagnoses icd9 code of patient jerry deberry.", "sql": "SELECT DIAGNOSES.\"ICD9_CODE\" FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"NAME\" = \"Jerry Deberry\"", "question_refine_tok": ["let", "me", "know", "the", "diagnoses", "icd9", "code", "of", "patient", "jerry", "deberry", "."], "sql_tok": ["SELECT", "DIAGNOSES.\"ICD9_CODE\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Jerry", "Deberry\""]}
{"key": "92135f23237f33782c87fc215ea43e54", "format": {"table": [0, 2], "cond": [[0, 2, 0, "Jerry Deberry"]], "agg_col": [[2, 3]], "sel": 0}, "question_refine": "let me know the short title of procedure that the patient jerry deberry underwent.", "sql": "SELECT PROCEDURES.\"SHORT_TITLE\" FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"NAME\" = \"Jerry Deberry\"", "question_refine_tok": ["let", "me", "know", "the", "short", "title", "of", "procedure", "that", "the", "patient", "jerry", "deberry", "underwent", "."], "sql_tok": ["SELECT", "PROCEDURES.\"SHORT_TITLE\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Jerry", "Deberry\""]}
{"key": "964051ea9739d5463dc623efb7016c1e", "format": {"table": [0, 4], "cond": [[0, 2, 0, "Jerry Deberry"]], "agg_col": [[4, 8]], "sel": 0}, "question_refine": "what is the lab category for the patient name jerry deberry?", "sql": "SELECT LAB.\"CATEGORY\" FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"NAME\" = \"Jerry Deberry\"", "question_refine_tok": ["what", "is", "the", "lab", "category", "for", "the", "patient", "name", "jerry", "deberry", "?"], "sql_tok": ["SELECT", "LAB.\"CATEGORY\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Jerry", "Deberry\""]}
{"key": "899be5c31a9c59c33a7a448c4c224976", "format": {"table": [0], "cond": [[0, 2, 0, "Jerry Deberry"]], "agg_col": [[0, 4], [0, 6]], "sel": 0}, "question_refine": "mention the age and gender of subject named jerry deberry?", "sql": "SELECT DEMOGRAPHIC.\"AGE\",DEMOGRAPHIC.\"GENDER\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"NAME\" = \"Jerry Deberry\"", "question_refine_tok": ["mention", "the", "age", "and", "gender", "of", "subject", "named", "jerry", "deberry", "?"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"AGE\",DEMOGRAPHIC.\"GENDER\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Jerry", "Deberry\""]}
{"key": "0a77605bec326cf6c78fbd27644ee60d", "format": {"table": [0], "cond": [[0, 2, 0, "Jerry Deberry"]], "agg_col": [[0, 5], [0, 10]], "sel": 0}, "question_refine": "find the date of birth and number of days of hospital stay of jerry deberry.", "sql": "SELECT DEMOGRAPHIC.\"DOB\",DEMOGRAPHIC.\"DAYS_STAY\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"NAME\" = \"Jerry Deberry\"", "question_refine_tok": ["find", "the", "date", "of", "birth", "and", "number", "of", "days", "of", "hospital", "stay", "of", "jerry", "deberry", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DOB\",DEMOGRAPHIC.\"DAYS_STAY\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Jerry", "Deberry\""]}
{"key": "0159c2d55484e5e69db037e3092ea43d", "format": {"table": [0], "cond": [[0, 2, 0, "Jerry Deberry"]], "agg_col": [[0, 5], [0, 12]], "sel": 0}, "question_refine": "look for the birth date and ethnic background of patient jerry deberry.", "sql": "SELECT DEMOGRAPHIC.\"DOB\",DEMOGRAPHIC.\"ETHNICITY\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"NAME\" = \"Jerry Deberry\"", "question_refine_tok": ["look", "for", "the", "birth", "date", "and", "ethnic", "background", "of", "patient", "jerry", "deberry", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DOB\",DEMOGRAPHIC.\"ETHNICITY\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Jerry", "Deberry\""]}
{"key": "9de792fe2a88120b9c4b104e3ef20a27", "format": {"table": [0], "cond": [[0, 2, 0, "Jerry Deberry"]], "agg_col": [[0, 5], [0, 16]], "sel": 0}, "question_refine": "mention the disease that jerry deberry is primarily suffering from and his date of birth as well.", "sql": "SELECT DEMOGRAPHIC.\"DOB\",DEMOGRAPHIC.\"DIAGNOSIS\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"NAME\" = \"Jerry Deberry\"", "question_refine_tok": ["mention", "the", "disease", "that", "jerry", "deberry", "is", "primarily", "suffering", "from", "and", "his", "date", "of", "birth", "as", "well", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DOB\",DEMOGRAPHIC.\"DIAGNOSIS\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Jerry", "Deberry\""]}
{"key": "0817c025e046b7be84ef289caead5837", "format": {"table": [0, 1], "cond": [[0, 2, 0, "Jerry Deberry"]], "agg_col": [[0, 5], [1, 2]], "sel": 0}, "question_refine": "give me the date of birth and diagnoses icd9 code of subject name jerry deberry.", "sql": "SELECT DEMOGRAPHIC.\"DOB\",DIAGNOSES.\"ICD9_CODE\" FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"NAME\" = \"Jerry Deberry\"", "question_refine_tok": ["give", "me", "the", "date", "of", "birth", "and", "diagnoses", "icd9", "code", "of", "subject", "name", "jerry", "deberry", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DOB\",DIAGNOSES.\"ICD9_CODE\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Jerry", "Deberry\""]}
{"key": "0e597171d8f49a56ee59fb5598fd6322", "format": {"table": [0, 2], "cond": [[0, 2, 0, "Jerry Deberry"]], "agg_col": [[0, 5], [2, 4]], "sel": 0}, "question_refine": "give the birthdate and procedure title of jerry deberry.", "sql": "SELECT DEMOGRAPHIC.\"DOB\",PROCEDURES.\"LONG_TITLE\" FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"NAME\" = \"Jerry Deberry\"", "question_refine_tok": ["give", "the", "birthdate", "and", "procedure", "title", "of", "jerry", "deberry", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DOB\",PROCEDURES.\"LONG_TITLE\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Jerry", "Deberry\""]}
{"key": "06f15c6be771186668997528e52270cb", "format": {"table": [0], "cond": [[0, 2, 0, "Stephanie Suchan"]], "agg_col": [[0, 6]], "sel": 0}, "question_refine": "tell me the gender of patient stephanie suchan.", "sql": "SELECT DEMOGRAPHIC.\"GENDER\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"NAME\" = \"Stephanie Suchan\"", "question_refine_tok": ["tell", "me", "the", "gender", "of", "patient", "stephanie", "suchan", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"GENDER\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Stephanie", "Suchan\""]}
{"key": "8620eaa43239b46cc9bde99b6286773a", "format": {"table": [0], "cond": [[0, 2, 0, "Stephanie Suchan"]], "agg_col": [[0, 10]], "sel": 0}, "question_refine": "for how many days stephanie sechan stayed in hospital?", "sql": "SELECT DEMOGRAPHIC.\"DAYS_STAY\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"NAME\" = \"Stephanie Suchan\"", "question_refine_tok": ["for", "how", "many", "days", "stephanie", "sechan", "stayed", "in", "hospital", "?"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DAYS_STAY\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Stephanie", "Suchan\""]}
{"key": "9f46ec724f05eabbc56834aac5d8c551", "format": {"table": [0], "cond": [[0, 2, 0, "Stephanie Suchan"]], "agg_col": [[0, 12]], "sel": 0}, "question_refine": "specify the ethnic origin of subject named stephanie suchan", "sql": "SELECT DEMOGRAPHIC.\"ETHNICITY\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"NAME\" = \"Stephanie Suchan\"", "question_refine_tok": ["specify", "the", "ethnic", "origin", "of", "subject", "named", "stephanie", "suchan"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"ETHNICITY\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Stephanie", "Suchan\""]}
{"key": "ac5ff199a31192f91afcf9220dbdb50b", "format": {"table": [0], "cond": [[0, 2, 0, "Stephanie Suchan"]], "agg_col": [[0, 21]], "sel": 0}, "question_refine": "when did the patient stephanie suchan get discharged?", "sql": "SELECT DEMOGRAPHIC.\"DISCHTIME\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"NAME\" = \"Stephanie Suchan\"", "question_refine_tok": ["when", "did", "the", "patient", "stephanie", "suchan", "get", "discharged", "?"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DISCHTIME\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Stephanie", "Suchan\""]}
{"key": "a46d3d925c662de7a83922c62ca97e98", "format": {"table": [0, 1], "cond": [[0, 2, 0, "Stephanie Suchan"]], "agg_col": [[1, 3]], "sel": 0}, "question_refine": "tell me the short title of diagnoses for patient stephanie suchan.", "sql": "SELECT DIAGNOSES.\"SHORT_TITLE\" FROM DEMOGRAPHIC INNER JOIN DIAGNOSES on DEMOGRAPHIC.HADM_ID = DIAGNOSES.HADM_ID WHERE DEMOGRAPHIC.\"NAME\" = \"Stephanie Suchan\"", "question_refine_tok": ["tell", "me", "the", "short", "title", "of", "diagnoses", "for", "patient", "stephanie", "suchan", "."], "sql_tok": ["SELECT", "DIAGNOSES.\"SHORT_TITLE\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "DIAGNOSES", "on", "DEMOGRAPHIC.HADM_ID", "=", "DIAGNOSES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Stephanie", "Suchan\""]}
{"key": "100bb3105ffdcb4cfd369197eb54f0f3", "format": {"table": [0, 2], "cond": [[0, 2, 0, "Stephanie Suchan"]], "agg_col": [[2, 3]], "sel": 0}, "question_refine": "mention the procedure short title of subject name stephanie suchan.", "sql": "SELECT PROCEDURES.\"SHORT_TITLE\" FROM DEMOGRAPHIC INNER JOIN PROCEDURES on DEMOGRAPHIC.HADM_ID = PROCEDURES.HADM_ID WHERE DEMOGRAPHIC.\"NAME\" = \"Stephanie Suchan\"", "question_refine_tok": ["mention", "the", "procedure", "short", "title", "of", "subject", "name", "stephanie", "suchan", "."], "sql_tok": ["SELECT", "PROCEDURES.\"SHORT_TITLE\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PROCEDURES", "on", "DEMOGRAPHIC.HADM_ID", "=", "PROCEDURES.HADM_ID", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Stephanie", "Suchan\""]}
{"key": "9d5d968951e3f72781e48eabfa97ce79", "format": {"table": [0, 3], "cond": [[0, 2, 0, "Stephanie Suchan"]], "agg_col": [[3, 2]], "sel": 0}, "question_refine": "tell me the icu stay id for patient stephanie suchan.", "sql": "SELECT PRESCRIPTIONS.\"ICUSTAY_ID\" FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"NAME\" = \"Stephanie Suchan\"", "question_refine_tok": ["tell", "me", "the", "icu", "stay", "i", "d", "for", "patient", "stephanie", "suchan", "."], "sql_tok": ["SELECT", "PRESCRIPTIONS.\"ICUSTAY_ID\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Stephanie", "Suchan\""]}
{"key": "aa270f02ccb751ae8d962d0ebb685aa1", "format": {"table": [0, 3], "cond": [[0, 2, 0, "Stephanie Suchan"]], "agg_col": [[3, 3]], "sel": 0}, "question_refine": "what is the drug type of patient name stephanie suchan?", "sql": "SELECT PRESCRIPTIONS.\"DRUG_TYPE\" FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"NAME\" = \"Stephanie Suchan\"", "question_refine_tok": ["what", "is", "the", "drug", "type", "of", "patient", "name", "stephanie", "suchan", "?"], "sql_tok": ["SELECT", "PRESCRIPTIONS.\"DRUG_TYPE\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Stephanie", "Suchan\""]}
{"key": "891ff71c0291fb8c625b26a05cf602d9", "format": {"table": [0, 3], "cond": [[0, 2, 0, "Stephanie Suchan"]], "agg_col": [[3, 4]], "sel": 0}, "question_refine": "what is the drug name used by the patient stephanie suchan?", "sql": "SELECT PRESCRIPTIONS.\"DRUG\" FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"NAME\" = \"Stephanie Suchan\"", "question_refine_tok": ["what", "is", "the", "drug", "name", "used", "by", "the", "patient", "stephanie", "suchan", "?"], "sql_tok": ["SELECT", "PRESCRIPTIONS.\"DRUG\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Stephanie", "Suchan\""]}
{"key": "01e59ed775997881d7cc02d7305220f7", "format": {"table": [0, 4], "cond": [[0, 2, 0, "Stephanie Suchan"]], "agg_col": [[4, 6]], "sel": 0}, "question_refine": "what is the lab test name that the patient stephanie suchan underwent?", "sql": "SELECT LAB.\"LABEL\" FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"NAME\" = \"Stephanie Suchan\"", "question_refine_tok": ["what", "is", "the", "lab", "test", "name", "that", "the", "patient", "stephanie", "suchan", "underwent", "?"], "sql_tok": ["SELECT", "LAB.\"LABEL\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Stephanie", "Suchan\""]}
{"key": "9052ed7f485f07e69a4872d7bf18bb45", "format": {"table": [0, 4], "cond": [[0, 2, 0, "Stephanie Suchan"]], "agg_col": [[4, 8]], "sel": 0}, "question_refine": "find out the category of lab test for patient stephanie suchan.", "sql": "SELECT LAB.\"CATEGORY\" FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"NAME\" = \"Stephanie Suchan\"", "question_refine_tok": ["find", "out", "the", "category", "of", "lab", "test", "for", "patient", "stephanie", "suchan", "."], "sql_tok": ["SELECT", "LAB.\"CATEGORY\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Stephanie", "Suchan\""]}
{"key": "10822f7eec6c3aa7af2078923e5b8148", "format": {"table": [0], "cond": [[0, 2, 0, "Paul Edwards"]], "agg_col": [[0, 7]], "sel": 0}, "question_refine": "which language does patient paul edwards speak?", "sql": "SELECT DEMOGRAPHIC.\"LANGUAGE\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"NAME\" = \"Paul Edwards\"", "question_refine_tok": ["which", "language", "does", "patient", "paul", "edwards", "speak", "?"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"LANGUAGE\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Paul", "Edwards\""]}
{"key": "a6b824de0e783a5f6eded81625061bbe", "format": {"table": [0], "cond": [[0, 2, 0, "Paul Edwards"]], "agg_col": [[0, 11]], "sel": 0}, "question_refine": "paul edwards is covered under which health insurance?", "sql": "SELECT DEMOGRAPHIC.\"INSURANCE\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"NAME\" = \"Paul Edwards\"", "question_refine_tok": ["paul", "edwards", "is", "covered", "under", "which", "health", "insurance", "?"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"INSURANCE\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Paul", "Edwards\""]}
{"key": "a7285ffa3213ab37d2c756b87b37babf", "format": {"table": [0], "cond": [[0, 2, 0, "Paul Edwards"]], "agg_col": [[0, 16]], "sel": 0}, "question_refine": "which primary disease is the patient paul edwards suffering from?", "sql": "SELECT DEMOGRAPHIC.\"DIAGNOSIS\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"NAME\" = \"Paul Edwards\"", "question_refine_tok": ["which", "primary", "disease", "is", "the", "patient", "paul", "edwards", "suffering", "from", "?"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DIAGNOSIS\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Paul", "Edwards\""]}
{"key": "0055629048450c85a45c53fcb015c8bf", "format": {"table": [0], "cond": [[0, 2, 0, "Paul Edwards"]], "agg_col": [[0, 20]], "sel": 0}, "question_refine": "what is the admission time of the patient name paul edwards?", "sql": "SELECT DEMOGRAPHIC.\"ADMITTIME\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"NAME\" = \"Paul Edwards\"", "question_refine_tok": ["what", "is", "the", "admission", "time", "of", "the", "patient", "name", "paul", "edwards", "?"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"ADMITTIME\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Paul", "Edwards\""]}
{"key": "9de102f878a21d71b64badbf34ba36af", "format": {"table": [0, 3], "cond": [[0, 2, 0, "Paul Edwards"]], "agg_col": [[3, 2]], "sel": 0}, "question_refine": "specify the icu stay id for subject named paul edwards", "sql": "SELECT PRESCRIPTIONS.\"ICUSTAY_ID\" FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"NAME\" = \"Paul Edwards\"", "question_refine_tok": ["specify", "the", "icu", "stay", "i", "d", "for", "subject", "named", "paul", "edwards"], "sql_tok": ["SELECT", "PRESCRIPTIONS.\"ICUSTAY_ID\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Paul", "Edwards\""]}
{"key": "83412574faf1462aa5aee780eaa94ca6", "format": {"table": [0, 4], "cond": [[0, 2, 0, "Paul Edwards"]], "agg_col": [[4, 7]], "sel": 0}, "question_refine": "specify the lab test fluid of patient paul edwards", "sql": "SELECT LAB.\"FLUID\" FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"NAME\" = \"Paul Edwards\"", "question_refine_tok": ["specify", "the", "lab", "test", "fluid", "of", "patient", "paul", "edwards"], "sql_tok": ["SELECT", "LAB.\"FLUID\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Paul", "Edwards\""]}
{"key": "9115b8182d191e8ccf47ad6e721c9742", "format": {"table": [0], "cond": [[0, 2, 0, "Kelly Gallardo"]], "agg_col": [[0, 5]], "sel": 0}, "question_refine": "let me know the birth date of patient kelly gallardo.", "sql": "SELECT DEMOGRAPHIC.\"DOB\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"NAME\" = \"Kelly Gallardo\"", "question_refine_tok": ["let", "me", "know", "the", "birth", "date", "of", "patient", "kelly", "gallardo", "."], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DOB\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Kelly", "Gallardo\""]}
{"key": "9377ea7a9532e2f0a0509c75c086c8be", "format": {"table": [0], "cond": [[0, 2, 0, "Kelly Gallardo"]], "agg_col": [[0, 8]], "sel": 0}, "question_refine": "what is the religion of subject name kelley gallardo?", "sql": "SELECT DEMOGRAPHIC.\"RELIGION\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"NAME\" = \"Kelly Gallardo\"", "question_refine_tok": ["what", "is", "the", "religion", "of", "subject", "name", "kelley", "gallardo", "?"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"RELIGION\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Kelly", "Gallardo\""]}
{"key": "8f0dceb4e87c48e94403f2207c5c1f90", "format": {"table": [0], "cond": [[0, 2, 0, "Kelly Gallardo"]], "agg_col": [[0, 14]], "sel": 0}, "question_refine": "specify the admission location of patient kelly gallardo", "sql": "SELECT DEMOGRAPHIC.\"ADMISSION_LOCATION\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"NAME\" = \"Kelly Gallardo\"", "question_refine_tok": ["specify", "the", "admission", "location", "of", "patient", "kelly", "gallardo"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"ADMISSION_LOCATION\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Kelly", "Gallardo\""]}
{"key": "0d78e61ca912d643a9233b60b95f4b40", "format": {"table": [0], "cond": [[0, 2, 0, "Kelly Gallardo"]], "agg_col": [[0, 16]], "sel": 0}, "question_refine": "what is the primary disease of subject name kelly gallardo?", "sql": "SELECT DEMOGRAPHIC.\"DIAGNOSIS\" FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"NAME\" = \"Kelly Gallardo\"", "question_refine_tok": ["what", "is", "the", "primary", "disease", "of", "subject", "name", "kelly", "gallardo", "?"], "sql_tok": ["SELECT", "DEMOGRAPHIC.\"DIAGNOSIS\"", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Kelly", "Gallardo\""]}
{"key": "931ca6adf9891c566fe6a75fce0ddeb3", "format": {"table": [0, 3], "cond": [[0, 2, 0, "Kelly Gallardo"]], "agg_col": [[3, 6]], "sel": 0}, "question_refine": "kelly gallardo is taking medication via which route?", "sql": "SELECT PRESCRIPTIONS.\"ROUTE\" FROM DEMOGRAPHIC INNER JOIN PRESCRIPTIONS on DEMOGRAPHIC.HADM_ID = PRESCRIPTIONS.HADM_ID WHERE DEMOGRAPHIC.\"NAME\" = \"Kelly Gallardo\"", "question_refine_tok": ["kelly", "gallardo", "is", "taking", "medication", "via", "which", "route", "?"], "sql_tok": ["SELECT", "PRESCRIPTIONS.\"ROUTE\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "PRESCRIPTIONS", "on", "DEMOGRAPHIC.HADM_ID", "=", "PRESCRIPTIONS.HADM_ID", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Kelly", "Gallardo\""]}
{"key": "0a1afd3f6a8a58a11490424176d9f026", "format": {"table": [0, 4], "cond": [[0, 2, 0, "Kelly Gallardo"]], "agg_col": [[4, 2]], "sel": 0}, "question_refine": "find the item id of kelly gallardo.", "sql": "SELECT LAB.\"ITEMID\" FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"NAME\" = \"Kelly Gallardo\"", "question_refine_tok": ["find", "the", "item", "i", "d", "of", "kelly", "gallardo", "."], "sql_tok": ["SELECT", "LAB.\"ITEMID\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Kelly", "Gallardo\""]}
{"key": "8ad4b7b39df3ac2ccb2e85d1956e8ad3", "format": {"table": [0, 4], "cond": [[0, 2, 0, "Kelly Gallardo"]], "agg_col": [[4, 7]], "sel": 0}, "question_refine": "find the lab test fluid of kelly gallardo.", "sql": "SELECT LAB.\"FLUID\" FROM DEMOGRAPHIC INNER JOIN LAB on DEMOGRAPHIC.HADM_ID = LAB.HADM_ID WHERE DEMOGRAPHIC.\"NAME\" = \"Kelly Gallardo\"", "question_refine_tok": ["find", "the", "lab", "test", "fluid", "of", "kelly", "gallardo", "."], "sql_tok": ["SELECT", "LAB.\"FLUID\"", "FROM", "DEMOGRAPHIC", "INNER", "JOIN", "LAB", "on", "DEMOGRAPHIC.HADM_ID", "=", "LAB.HADM_ID", "WHERE", "DEMOGRAPHIC.\"NAME\"", "=", "\"Kelly", "Gallardo\""]}
{"key": "9382a7fab8590394cd3d4db8b932aace", "format": {"table": [0], "cond": [[0, 6, 0, "F"]], "agg_col": [[0, 10]], "sel": 2}, "question_refine": "what is the maximum days of hospital stay for female patients ?", "sql": "SELECT MAX ( DEMOGRAPHIC.\"DAYS_STAY\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"GENDER\" = \"F\"", "question_refine_tok": ["what", "is", "the", "maximum", "days", "of", "hospital", "stay", "for", "female", "patients", "?"], "sql_tok": ["SELECT", "MAX", "(", "DEMOGRAPHIC.\"DAYS_STAY\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"GENDER\"", "=", "\"F\""]}
{"key": "07431ff7a6c6bd3c08e6a26a84e600b3", "format": {"table": [0], "cond": [[0, 6, 0, "M"]], "agg_col": [[0, 10]], "sel": 2}, "question_refine": "what is the maximum days of hospital stay of patients whose gender is male?", "sql": "SELECT MAX ( DEMOGRAPHIC.\"DAYS_STAY\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"GENDER\" = \"M\"", "question_refine_tok": ["what", "is", "the", "maximum", "days", "of", "hospital", "stay", "of", "patients", "whose", "gender", "is", "male", "?"], "sql_tok": ["SELECT", "MAX", "(", "DEMOGRAPHIC.\"DAYS_STAY\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"GENDER\"", "=", "\"M\""]}
{"key": "8a2f27186a6f9174f5f9346999f666f2", "format": {"table": [0], "cond": [[0, 9, 0, "URGENT"]], "agg_col": [[0, 10]], "sel": 3}, "question_refine": "what is the minimum days of hospital stay of patients whose admission type is urgent?", "sql": "SELECT MIN ( DEMOGRAPHIC.\"DAYS_STAY\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ADMISSION_TYPE\" = \"URGENT\"", "question_refine_tok": ["what", "is", "the", "minimum", "days", "of", "hospital", "stay", "of", "patients", "whose", "admission", "type", "is", "urgent", "?"], "sql_tok": ["SELECT", "MIN", "(", "DEMOGRAPHIC.\"DAYS_STAY\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ADMISSION_TYPE\"", "=", "\"URGENT\""]}
{"key": "05bac85c2939f9bbec8d57102c7b6156", "format": {"table": [0], "cond": [[0, 9, 0, "NEWBORN"]], "agg_col": [[0, 10]], "sel": 3}, "question_refine": "find the minimum days of hospital stay for newborns.", "sql": "SELECT MIN ( DEMOGRAPHIC.\"DAYS_STAY\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ADMISSION_TYPE\" = \"NEWBORN\"", "question_refine_tok": ["find", "the", "minimum", "days", "of", "hospital", "stay", "for", "newborns", "."], "sql_tok": ["SELECT", "MIN", "(", "DEMOGRAPHIC.\"DAYS_STAY\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ADMISSION_TYPE\"", "=", "\"NEWBORN\""]}
{"key": "0264eb2e7e0075c9cfef5cec114f92df", "format": {"table": [0], "cond": [[0, 11, 0, "Private"]], "agg_col": [[0, 10]], "sel": 2}, "question_refine": "calculate the maximum days for which patients with private health insurance have been hospitalized.", "sql": "SELECT MAX ( DEMOGRAPHIC.\"DAYS_STAY\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"INSURANCE\" = \"Private\"", "question_refine_tok": ["calculate", "the", "maximum", "days", "for", "which", "patients", "with", "private", "health", "insurance", "have", "been", "hospitalized", "."], "sql_tok": ["SELECT", "MAX", "(", "DEMOGRAPHIC.\"DAYS_STAY\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"INSURANCE\"", "=", "\"Private\""]}
{"key": "a862cb556c8a303b9fd05ffbc3866738", "format": {"table": [0], "cond": [[0, 12, 0, "BLACK/HAITIAN"]], "agg_col": [[0, 10]], "sel": 3}, "question_refine": "what is the minimum days of hospital stay for patients belonging to black/haitian ethnic background?", "sql": "SELECT MIN ( DEMOGRAPHIC.\"DAYS_STAY\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ETHNICITY\" = \"BLACK/HAITIAN\"", "question_refine_tok": ["what", "is", "the", "minimum", "days", "of", "hospital", "stay", "for", "patients", "belonging", "to", "black", "/", "haitian", "ethnic", "background", "?"], "sql_tok": ["SELECT", "MIN", "(", "DEMOGRAPHIC.\"DAYS_STAY\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ETHNICITY\"", "=", "\"BLACK/HAITIAN\""]}
{"key": "0e366fd23450de6fce0205772c03c7d8", "format": {"table": [0], "cond": [[0, 12, 0, "ASIAN"]], "agg_col": [[0, 10]], "sel": 4}, "question_refine": "give the average duration of hospital stay for asian patients.", "sql": "SELECT AVG ( DEMOGRAPHIC.\"DAYS_STAY\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ETHNICITY\" = \"ASIAN\"", "question_refine_tok": ["give", "the", "average", "duration", "of", "hospital", "stay", "for", "asian", "patients", "."], "sql_tok": ["SELECT", "AVG", "(", "DEMOGRAPHIC.\"DAYS_STAY\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ETHNICITY\"", "=", "\"ASIAN\""]}
{"key": "026b31c845468f221e7fa3ce74c7ca5f", "format": {"table": [0], "cond": [[0, 12, 0, "HISPANIC OR LATINO"]], "agg_col": [[0, 10]], "sel": 4}, "question_refine": "calculate the average days for which hispanic or latino patients have stayed in hospital.", "sql": "SELECT AVG ( DEMOGRAPHIC.\"DAYS_STAY\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ETHNICITY\" = \"HISPANIC OR LATINO\"", "question_refine_tok": ["calculate", "the", "average", "days", "for", "which", "hispanic", "or", "latino", "patients", "have", "stayed", "in", "hospital", "."], "sql_tok": ["SELECT", "AVG", "(", "DEMOGRAPHIC.\"DAYS_STAY\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ETHNICITY\"", "=", "\"HISPANIC", "OR", "LATINO\""]}
{"key": "07dd887d78325747ddf8d7f6a4cc952b", "format": {"table": [0], "cond": [[0, 14, 0, "CLINIC REFERRAL/PREMATURE"]], "agg_col": [[0, 10]], "sel": 2}, "question_refine": "for how long the patients admitted to clinic referral/premature stayed in the hospital?", "sql": "SELECT MAX ( DEMOGRAPHIC.\"DAYS_STAY\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ADMISSION_LOCATION\" = \"CLINIC REFERRAL/PREMATURE\"", "question_refine_tok": ["for", "how", "long", "the", "patients", "admitted", "to", "clinic", "referral", "/", "premature", "stayed", "in", "the", "hospital", "?"], "sql_tok": ["SELECT", "MAX", "(", "DEMOGRAPHIC.\"DAYS_STAY\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ADMISSION_LOCATION\"", "=", "\"CLINIC", "REFERRAL/PREMATURE\""]}
{"key": "a6cecf07aa5066f7bc97d4afef5e4767", "format": {"table": [0], "cond": [[0, 16, 0, "BRAIN MASS;INTRACRANIAL HEMORRHAGE"]], "agg_col": [[0, 10]], "sel": 3}, "question_refine": "what is the minimum days for which patients with brain mass; intracranial hemorrhage were hospitalized?", "sql": "SELECT MIN ( DEMOGRAPHIC.\"DAYS_STAY\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"BRAIN MASS;INTRACRANIAL HEMORRHAGE\"", "question_refine_tok": ["what", "is", "the", "minimum", "days", "for", "which", "patients", "with", "brain", "mass", ";", "intracranial", "hemorrhage", "were", "hospitalized", "?"], "sql_tok": ["SELECT", "MIN", "(", "DEMOGRAPHIC.\"DAYS_STAY\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"BRAIN", "MASS;INTRACRANIAL", "HEMORRHAGE\""]}
{"key": "099986280545b8297552cdfa2b1f8f88", "format": {"table": [0], "cond": [[0, 16, 0, "VENTRICULAR TACHYCARDIA"]], "agg_col": [[0, 10]], "sel": 3}, "question_refine": "calculate the minimum duration of hospital stay for patients who had ventricular tachycardia as primary disease.", "sql": "SELECT MIN ( DEMOGRAPHIC.\"DAYS_STAY\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"VENTRICULAR TACHYCARDIA\"", "question_refine_tok": ["calculate", "the", "minimum", "duration", "of", "hospital", "stay", "for", "patients", "who", "had", "ventricular", "tachycardia", "as", "primary", "disease", "."], "sql_tok": ["SELECT", "MIN", "(", "DEMOGRAPHIC.\"DAYS_STAY\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"VENTRICULAR", "TACHYCARDIA\""]}
{"key": "0e6e157150b6804faa15e113bdd34edd", "format": {"table": [0], "cond": [[0, 16, 0, "S/P HANGING"]], "agg_col": [[0, 10]], "sel": 2}, "question_refine": "calculate the maximum days of hospitalization for patients with s/p hanging primary disease.", "sql": "SELECT MAX ( DEMOGRAPHIC.\"DAYS_STAY\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"S/P HANGING\"", "question_refine_tok": ["calculate", "the", "maximum", "days", "of", "hospitalization", "for", "patients", "with", "s", "/", "p", "hanging", "primary", "disease", "."], "sql_tok": ["SELECT", "MAX", "(", "DEMOGRAPHIC.\"DAYS_STAY\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"S/P", "HANGING\""]}
{"key": "0505b2e7a406ecc63693aa9f33c0af26", "format": {"table": [0], "cond": [[0, 16, 0, "S/P FALL"]], "agg_col": [[0, 10]], "sel": 4}, "question_refine": "what is the average days of hospital stay of patients whose primary disease is s/p fall?", "sql": "SELECT AVG ( DEMOGRAPHIC.\"DAYS_STAY\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"S/P FALL\"", "question_refine_tok": ["what", "is", "the", "average", "days", "of", "hospital", "stay", "of", "patients", "whose", "primary", "disease", "is", "s", "/", "p", "fall", "?"], "sql_tok": ["SELECT", "AVG", "(", "DEMOGRAPHIC.\"DAYS_STAY\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"S/P", "FALL\""]}
{"key": "075dfde202da217a38664c06dfb7fc1d", "format": {"table": [0], "cond": [[0, 16, 0, "HYPERTENSION;RULE OUT CORONARY ARTERY DISEASE\\CARDIAC CATH"]], "agg_col": [[0, 10]], "sel": 2}, "question_refine": "what is the maximum number of days of hospital stay for patients with hypertension but not coronary artery disease/cardiac cath?", "sql": "SELECT MAX ( DEMOGRAPHIC.\"DAYS_STAY\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"HYPERTENSION;RULE OUT CORONARY ARTERY DISEASE\\CARDIAC CATH\"", "question_refine_tok": ["what", "is", "the", "maximum", "number", "of", "days", "of", "hospital", "stay", "for", "patients", "with", "hypertension", "but", "not", "coronary", "artery", "disease", "/", "cardiac", "cath", "?"], "sql_tok": ["SELECT", "MAX", "(", "DEMOGRAPHIC.\"DAYS_STAY\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"HYPERTENSION;RULE", "OUT", "CORONARY", "ARTERY", "DISEASE\\CARDIAC", "CATH\""]}
{"key": "07a359a1b5b143af812f602a0f4efc3b", "format": {"table": [0], "cond": [[0, 16, 0, "PITUITARY BLEED"]], "agg_col": [[0, 10]], "sel": 2}, "question_refine": "what is the maximum days of hospital stay of patients whose primary disease is pituitary bleed?", "sql": "SELECT MAX ( DEMOGRAPHIC.\"DAYS_STAY\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"PITUITARY BLEED\"", "question_refine_tok": ["what", "is", "the", "maximum", "days", "of", "hospital", "stay", "of", "patients", "whose", "primary", "disease", "is", "pituitary", "bleed", "?"], "sql_tok": ["SELECT", "MAX", "(", "DEMOGRAPHIC.\"DAYS_STAY\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"PITUITARY", "BLEED\""]}
{"key": "a09e87b1a123bd380b2c2cce58c57df5", "format": {"table": [0], "cond": [[0, 4, 3, 68]], "agg_col": [[0, 10]], "sel": 2}, "question_refine": "calculate the maximum days for which patients of 68 years old or older stayed in hospital.", "sql": "SELECT MAX ( DEMOGRAPHIC.\"DAYS_STAY\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"AGE\" >= \"68\"", "question_refine_tok": ["calculate", "the", "maximum", "days", "for", "which", "patients", "of", "68", "years", "old", "or", "older", "stayed", "in", "hospital", "."], "sql_tok": ["SELECT", "MAX", "(", "DEMOGRAPHIC.\"DAYS_STAY\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"AGE\"", ">=", "\"68\""]}
{"key": "bbbbcdd36fc4c67e7dc5d9127a958509", "format": {"table": [0], "cond": [[0, 4, 3, 20]], "agg_col": [[0, 10]], "sel": 3}, "question_refine": "calculate the minimum days for which patients aged 20 years or older were hospitalized.", "sql": "SELECT MIN ( DEMOGRAPHIC.\"DAYS_STAY\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"AGE\" >= \"20\"", "question_refine_tok": ["calculate", "the", "minimum", "days", "for", "which", "patients", "aged", "20", "years", "or", "older", "were", "hospitalized", "."], "sql_tok": ["SELECT", "MIN", "(", "DEMOGRAPHIC.\"DAYS_STAY\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"AGE\"", ">=", "\"20\""]}
{"key": "0367a0f03bb46a2d3edf35a1ce8632f3", "format": {"table": [0], "cond": [[0, 18, 1, 2180]], "agg_col": [[0, 10]], "sel": 4}, "question_refine": "what is the average days of hospital stay for the patients born after 2180?", "sql": "SELECT AVG ( DEMOGRAPHIC.\"DAYS_STAY\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DOB_YEAR\" > \"2180\"", "question_refine_tok": ["what", "is", "the", "average", "days", "of", "hospital", "stay", "for", "the", "patients", "born", "after", "2180", "?"], "sql_tok": ["SELECT", "AVG", "(", "DEMOGRAPHIC.\"DAYS_STAY\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DOB_YEAR\"", ">", "\"2180\""]}
{"key": "876d21e0b155dacd669c5089a1f6b66e", "format": {"table": [0], "cond": [[0, 18, 1, 2071]], "agg_col": [[0, 10]], "sel": 4}, "question_refine": "average out the duration of hospital stay for patients born in the year greater than 2071", "sql": "SELECT AVG ( DEMOGRAPHIC.\"DAYS_STAY\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DOB_YEAR\" > \"2071\"", "question_refine_tok": ["average", "out", "the", "duration", "of", "hospital", "stay", "for", "patients", "born", "in", "the", "year", "greater", "than", "2071"], "sql_tok": ["SELECT", "AVG", "(", "DEMOGRAPHIC.\"DAYS_STAY\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DOB_YEAR\"", ">", "\"2071\""]}
{"key": "0f85a50055cfb411dd0b95a57d97191f", "format": {"table": [0], "cond": [[0, 18, 1, 2200]], "agg_col": [[0, 10]], "sel": 3}, "question_refine": "find the minimum number of days of hospital stay for patients born before the year 2200.", "sql": "SELECT MIN ( DEMOGRAPHIC.\"DAYS_STAY\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DOB_YEAR\" > \"2200\"", "question_refine_tok": ["find", "the", "minimum", "number", "of", "days", "of", "hospital", "stay", "for", "patients", "born", "before", "the", "year", "2200", "."], "sql_tok": ["SELECT", "MIN", "(", "DEMOGRAPHIC.\"DAYS_STAY\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DOB_YEAR\"", ">", "\"2200\""]}
{"key": "8cb9d9cd9777cb7de0f280d81e661f92", "format": {"table": [0], "cond": [[0, 19, 2, 2154.0]], "agg_col": [[0, 10]], "sel": 4}, "question_refine": "what is the average days of hospital stay of patients who died before year 2154?", "sql": "SELECT AVG ( DEMOGRAPHIC.\"DAYS_STAY\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DOD_YEAR\" < \"2154.0\"", "question_refine_tok": ["what", "is", "the", "average", "days", "of", "hospital", "stay", "of", "patients", "who", "died", "before", "year", "2154", "?"], "sql_tok": ["SELECT", "AVG", "(", "DEMOGRAPHIC.\"DAYS_STAY\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DOD_YEAR\"", "<", "\"2154.0\""]}
{"key": "8758789c5295576a106780e5c140c9bd", "format": {"table": [0], "cond": [[0, 19, 2, 2164.0]], "agg_col": [[0, 10]], "sel": 2}, "question_refine": "calculate the maximum days for which patients who died before 2164 stayed in hospital.", "sql": "SELECT MAX ( DEMOGRAPHIC.\"DAYS_STAY\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DOD_YEAR\" < \"2164.0\"", "question_refine_tok": ["calculate", "the", "maximum", "days", "for", "which", "patients", "who", "died", "before", "2164", "stayed", "in", "hospital", "."], "sql_tok": ["SELECT", "MAX", "(", "DEMOGRAPHIC.\"DAYS_STAY\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DOD_YEAR\"", "<", "\"2164.0\""]}
{"key": "a01adcfe9f808af2f0964d8e7bea89c4", "format": {"table": [0], "cond": [[0, 3, 0, "MARRIED"], [0, 6, 0, "F"]], "agg_col": [[0, 4]], "sel": 4}, "question_refine": "calculate the average age of married female patients.", "sql": "SELECT AVG ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"MARITAL_STATUS\" = \"MARRIED\" AND DEMOGRAPHIC.\"GENDER\" = \"F\"", "question_refine_tok": ["calculate", "the", "average", "age", "of", "married", "female", "patients", "."], "sql_tok": ["SELECT", "AVG", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"MARITAL_STATUS\"", "=", "\"MARRIED\"", "AND", "DEMOGRAPHIC.\"GENDER\"", "=", "\"F\""]}
{"key": "96f280508885ff11a9f9b6cbfbc3ff0b", "format": {"table": [0], "cond": [[0, 3, 0, "DIVORCED"], [0, 6, 0, "F"]], "agg_col": [[0, 4]], "sel": 2}, "question_refine": "calculate the maximum age of female divorced patients.", "sql": "SELECT MAX ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"MARITAL_STATUS\" = \"DIVORCED\" AND DEMOGRAPHIC.\"GENDER\" = \"F\"", "question_refine_tok": ["calculate", "the", "maximum", "age", "of", "female", "divorced", "patients", "."], "sql_tok": ["SELECT", "MAX", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"MARITAL_STATUS\"", "=", "\"DIVORCED\"", "AND", "DEMOGRAPHIC.\"GENDER\"", "=", "\"F\""]}
{"key": "9fc4764cc38d024d1682c51ce690b975", "format": {"table": [0], "cond": [[0, 3, 0, "SINGLE"], [0, 6, 0, "M"]], "agg_col": [[0, 4]], "sel": 2}, "question_refine": "calculate the maximum age of unmarried male patients.", "sql": "SELECT MAX ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"MARITAL_STATUS\" = \"SINGLE\" AND DEMOGRAPHIC.\"GENDER\" = \"M\"", "question_refine_tok": ["calculate", "the", "maximum", "age", "of", "unmarried", "male", "patients", "."], "sql_tok": ["SELECT", "MAX", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"MARITAL_STATUS\"", "=", "\"SINGLE\"", "AND", "DEMOGRAPHIC.\"GENDER\"", "=", "\"M\""]}
{"key": "043f8f8307b509641e9efc3a7189cd0a", "format": {"table": [0], "cond": [[0, 3, 0, "MARRIED"], [0, 9, 0, "ELECTIVE"]], "agg_col": [[0, 4]], "sel": 3}, "question_refine": "calculate the minimum age of married patients who had elective type hospital admission.", "sql": "SELECT MIN ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"MARITAL_STATUS\" = \"MARRIED\" AND DEMOGRAPHIC.\"ADMISSION_TYPE\" = \"ELECTIVE\"", "question_refine_tok": ["calculate", "the", "minimum", "age", "of", "married", "patients", "who", "had", "elective", "type", "hospital", "admission", "."], "sql_tok": ["SELECT", "MIN", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"MARITAL_STATUS\"", "=", "\"MARRIED\"", "AND", "DEMOGRAPHIC.\"ADMISSION_TYPE\"", "=", "\"ELECTIVE\""]}
{"key": "86d137b429120508a500a6853e984c09", "format": {"table": [0], "cond": [[0, 3, 0, "MARRIED"], [0, 11, 0, "Self Pay"]], "agg_col": [[0, 4]], "sel": 2}, "question_refine": "what is the maximum age of married patients admitted on self pay status", "sql": "SELECT MAX ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"MARITAL_STATUS\" = \"MARRIED\" AND DEMOGRAPHIC.\"INSURANCE\" = \"Self Pay\"", "question_refine_tok": ["what", "is", "the", "maximum", "age", "of", "married", "patients", "admitted", "on", "self", "pay", "status"], "sql_tok": ["SELECT", "MAX", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"MARITAL_STATUS\"", "=", "\"MARRIED\"", "AND", "DEMOGRAPHIC.\"INSURANCE\"", "=", "\"Self", "Pay\""]}
{"key": "00942a70682dd4a711f87a01a76f6f4b", "format": {"table": [0], "cond": [[0, 3, 0, "SINGLE"], [0, 14, 0, "CLINIC REFERRAL/PREMATURE"]], "agg_col": [[0, 4]], "sel": 4}, "question_refine": "what is the average age of patient with single as marital status and admitted under clinic referral/premature?", "sql": "SELECT AVG ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"MARITAL_STATUS\" = \"SINGLE\" AND DEMOGRAPHIC.\"ADMISSION_LOCATION\" = \"CLINIC REFERRAL/PREMATURE\"", "question_refine_tok": ["what", "is", "the", "average", "age", "of", "patient", "with", "single", "as", "marital", "status", "and", "admitted", "under", "clinic", "referral", "/", "premature", "?"], "sql_tok": ["SELECT", "AVG", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"MARITAL_STATUS\"", "=", "\"SINGLE\"", "AND", "DEMOGRAPHIC.\"ADMISSION_LOCATION\"", "=", "\"CLINIC", "REFERRAL/PREMATURE\""]}
{"key": "04ab9977c1bb2580994bec34d2bf7e89", "format": {"table": [0], "cond": [[0, 3, 0, "MARRIED"], [0, 15, 0, "SNF"]], "agg_col": [[0, 4]], "sel": 4}, "question_refine": "what is the average age of patients whose marital status is married and discharge location is snf?", "sql": "SELECT AVG ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"MARITAL_STATUS\" = \"MARRIED\" AND DEMOGRAPHIC.\"DISCHARGE_LOCATION\" = \"SNF\"", "question_refine_tok": ["what", "is", "the", "average", "age", "of", "patients", "whose", "marital", "status", "is", "married", "and", "discharge", "location", "is", "snf", "?"], "sql_tok": ["SELECT", "AVG", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"MARITAL_STATUS\"", "=", "\"MARRIED\"", "AND", "DEMOGRAPHIC.\"DISCHARGE_LOCATION\"", "=", "\"SNF\""]}
{"key": "025adce7a3b46ed090cf77e5dcc9c5ec", "format": {"table": [0], "cond": [[0, 3, 0, "MARRIED"], [0, 4, 3, 41]], "agg_col": [[0, 4]], "sel": 2}, "question_refine": "calculate the maximum age of married patients who are 41 years old or older than that.", "sql": "SELECT MAX ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"MARITAL_STATUS\" = \"MARRIED\" AND DEMOGRAPHIC.\"AGE\" >= \"41\"", "question_refine_tok": ["calculate", "the", "maximum", "age", "of", "married", "patients", "who", "are", "41", "years", "old", "or", "older", "than", "that", "."], "sql_tok": ["SELECT", "MAX", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"MARITAL_STATUS\"", "=", "\"MARRIED\"", "AND", "DEMOGRAPHIC.\"AGE\"", ">=", "\"41\""]}
{"key": "013a940a6c002ff9dac66a9c19992514", "format": {"table": [0], "cond": [[0, 3, 0, "MARRIED"], [0, 4, 3, 44]], "agg_col": [[0, 4]], "sel": 4}, "question_refine": "what is the average age of patients whose marital status is married and who are aged more or equal to 44 years?", "sql": "SELECT AVG ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"MARITAL_STATUS\" = \"MARRIED\" AND DEMOGRAPHIC.\"AGE\" >= \"44\"", "question_refine_tok": ["what", "is", "the", "average", "age", "of", "patients", "whose", "marital", "status", "is", "married", "and", "who", "are", "aged", "more", "or", "equal", "to", "44", "years", "?"], "sql_tok": ["SELECT", "AVG", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"MARITAL_STATUS\"", "=", "\"MARRIED\"", "AND", "DEMOGRAPHIC.\"AGE\"", ">=", "\"44\""]}
{"key": "817fe7ae70c2b5623a475f9d9081d340", "format": {"table": [0], "cond": [[0, 3, 0, "MARRIED"], [0, 4, 3, 47]], "agg_col": [[0, 4]], "sel": 2}, "question_refine": "what is the maximum age of married patients aged 47 years or more?", "sql": "SELECT MAX ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"MARITAL_STATUS\" = \"MARRIED\" AND DEMOGRAPHIC.\"AGE\" >= \"47\"", "question_refine_tok": ["what", "is", "the", "maximum", "age", "of", "married", "patients", "aged", "47", "years", "or", "more", "?"], "sql_tok": ["SELECT", "MAX", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"MARITAL_STATUS\"", "=", "\"MARRIED\"", "AND", "DEMOGRAPHIC.\"AGE\"", ">=", "\"47\""]}
{"key": "9da3b03e4f367ed866072b9f7c825921", "format": {"table": [0], "cond": [[0, 3, 0, "SINGLE"], [0, 18, 1, 2087]], "agg_col": [[0, 4]], "sel": 4}, "question_refine": "calculate the average age of unmarried patients born after 2087.", "sql": "SELECT AVG ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"MARITAL_STATUS\" = \"SINGLE\" AND DEMOGRAPHIC.\"DOB_YEAR\" > \"2087\"", "question_refine_tok": ["calculate", "the", "average", "age", "of", "unmarried", "patients", "born", "after", "2087", "."], "sql_tok": ["SELECT", "AVG", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"MARITAL_STATUS\"", "=", "\"SINGLE\"", "AND", "DEMOGRAPHIC.\"DOB_YEAR\"", ">", "\"2087\""]}
{"key": "91e4268fef7e4c6940983b195523dd3d", "format": {"table": [0], "cond": [[0, 3, 0, "SINGLE"], [0, 18, 1, 2097]], "agg_col": [[0, 4]], "sel": 4}, "question_refine": "calculate the average age of unmarried patients born in the year less than 2097", "sql": "SELECT AVG ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"MARITAL_STATUS\" = \"SINGLE\" AND DEMOGRAPHIC.\"DOB_YEAR\" > \"2097\"", "question_refine_tok": ["calculate", "the", "average", "age", "of", "unmarried", "patients", "born", "in", "the", "year", "less", "than", "2097"], "sql_tok": ["SELECT", "AVG", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"MARITAL_STATUS\"", "=", "\"SINGLE\"", "AND", "DEMOGRAPHIC.\"DOB_YEAR\"", ">", "\"2097\""]}
{"key": "a936b3862b737cd672397efa1a7ea9b0", "format": {"table": [0], "cond": [[0, 3, 0, "SINGLE"], [0, 18, 1, 2073]], "agg_col": [[0, 4]], "sel": 2}, "question_refine": "what is the maximum age of patients whose marital status is single and who were born before the year 2073?", "sql": "SELECT MAX ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"MARITAL_STATUS\" = \"SINGLE\" AND DEMOGRAPHIC.\"DOB_YEAR\" > \"2073\"", "question_refine_tok": ["what", "is", "the", "maximum", "age", "of", "patients", "whose", "marital", "status", "is", "single", "and", "who", "were", "born", "before", "the", "year", "2073", "?"], "sql_tok": ["SELECT", "MAX", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"MARITAL_STATUS\"", "=", "\"SINGLE\"", "AND", "DEMOGRAPHIC.\"DOB_YEAR\"", ">", "\"2073\""]}
{"key": "adae5e26acd2cff0c947689a1e07525e", "format": {"table": [0], "cond": [[0, 3, 0, "SINGLE"], [0, 22, 3, 2156]], "agg_col": [[0, 4]], "sel": 4}, "question_refine": "specify the average age of unmarried patients admitted in the year more than or equal to 2156", "sql": "SELECT AVG ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"MARITAL_STATUS\" = \"SINGLE\" AND DEMOGRAPHIC.\"ADMITYEAR\" >= \"2156\"", "question_refine_tok": ["specify", "the", "average", "age", "of", "unmarried", "patients", "admitted", "in", "the", "year", "more", "than", "or", "equal", "to", "2156"], "sql_tok": ["SELECT", "AVG", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"MARITAL_STATUS\"", "=", "\"SINGLE\"", "AND", "DEMOGRAPHIC.\"ADMITYEAR\"", ">=", "\"2156\""]}
{"key": "8a8314389b88631016bc7ce9cefe7351", "format": {"table": [0], "cond": [[0, 6, 0, "M"], [0, 11, 0, "Medicaid"]], "agg_col": [[0, 4]], "sel": 4}, "question_refine": "what is the average age of male patients with medicaid insurance?", "sql": "SELECT AVG ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"GENDER\" = \"M\" AND DEMOGRAPHIC.\"INSURANCE\" = \"Medicaid\"", "question_refine_tok": ["what", "is", "the", "average", "age", "of", "male", "patients", "with", "medicaid", "insurance", "?"], "sql_tok": ["SELECT", "AVG", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"GENDER\"", "=", "\"M\"", "AND", "DEMOGRAPHIC.\"INSURANCE\"", "=", "\"Medicaid\""]}
{"key": "0e5bbc6f42fc88135fb495c1a3303902", "format": {"table": [0], "cond": [[0, 6, 0, "M"], [0, 11, 0, "Private"]], "agg_col": [[0, 4]], "sel": 4}, "question_refine": "what is the average age of male patients with a private insurance policy?", "sql": "SELECT AVG ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"GENDER\" = \"M\" AND DEMOGRAPHIC.\"INSURANCE\" = \"Private\"", "question_refine_tok": ["what", "is", "the", "average", "age", "of", "male", "patients", "with", "a", "private", "insurance", "policy", "?"], "sql_tok": ["SELECT", "AVG", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"GENDER\"", "=", "\"M\"", "AND", "DEMOGRAPHIC.\"INSURANCE\"", "=", "\"Private\""]}
{"key": "fffdd25c4b1fd2c10864a81fa85fd02e", "format": {"table": [0], "cond": [[0, 6, 0, "F"], [0, 12, 0, "WHITE"]], "agg_col": [[0, 4]], "sel": 3}, "question_refine": "find the minimum age of white female patients .", "sql": "SELECT MIN ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"GENDER\" = \"F\" AND DEMOGRAPHIC.\"ETHNICITY\" = \"WHITE\"", "question_refine_tok": ["find", "the", "minimum", "age", "of", "white", "female", "patients", "."], "sql_tok": ["SELECT", "MIN", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"GENDER\"", "=", "\"F\"", "AND", "DEMOGRAPHIC.\"ETHNICITY\"", "=", "\"WHITE\""]}
{"key": "a741e084792d0b494db1b7f806b144d5", "format": {"table": [0], "cond": [[0, 6, 0, "M"], [0, 12, 0, "HISPANIC OR LATINO"]], "agg_col": [[0, 4]], "sel": 4}, "question_refine": "what is the average age of male patients with hispanic or latino ethnic background?", "sql": "SELECT AVG ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"GENDER\" = \"M\" AND DEMOGRAPHIC.\"ETHNICITY\" = \"HISPANIC OR LATINO\"", "question_refine_tok": ["what", "is", "the", "average", "age", "of", "male", "patients", "with", "hispanic", "or", "latino", "ethnic", "background", "?"], "sql_tok": ["SELECT", "AVG", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"GENDER\"", "=", "\"M\"", "AND", "DEMOGRAPHIC.\"ETHNICITY\"", "=", "\"HISPANIC", "OR", "LATINO\""]}
{"key": "00b8efccccac56dfadd92400425b33fa", "format": {"table": [0], "cond": [[0, 6, 0, "F"], [0, 13, 0, 0]], "agg_col": [[0, 4]], "sel": 2}, "question_refine": "what is the maximum age of female patients whose death status is 0?", "sql": "SELECT MAX ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"GENDER\" = \"F\" AND DEMOGRAPHIC.\"EXPIRE_FLAG\" = \"0\"", "question_refine_tok": ["what", "is", "the", "maximum", "age", "of", "female", "patients", "whose", "death", "status", "is", "0", "?"], "sql_tok": ["SELECT", "MAX", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"GENDER\"", "=", "\"F\"", "AND", "DEMOGRAPHIC.\"EXPIRE_FLAG\"", "=", "\"0\""]}
{"key": "907eb0304115dca64c1217427151d675", "format": {"table": [0], "cond": [[0, 6, 0, "M"], [0, 13, 0, 0]], "agg_col": [[0, 4]], "sel": 2}, "question_refine": "calculate the maximum age of male patients who are still alive.", "sql": "SELECT MAX ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"GENDER\" = \"M\" AND DEMOGRAPHIC.\"EXPIRE_FLAG\" = \"0\"", "question_refine_tok": ["calculate", "the", "maximum", "age", "of", "male", "patients", "who", "are", "still", "alive", "."], "sql_tok": ["SELECT", "MAX", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"GENDER\"", "=", "\"M\"", "AND", "DEMOGRAPHIC.\"EXPIRE_FLAG\"", "=", "\"0\""]}
{"key": "046dedd9201c79ad138cee000f7e9354", "format": {"table": [0], "cond": [[0, 6, 0, "F"], [0, 15, 0, "LONG TERM CARE HOSPITAL"]], "agg_col": [[0, 4]], "sel": 4}, "question_refine": "calculate the average age of female patients who were discharged to long term care hospital.", "sql": "SELECT AVG ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"GENDER\" = \"F\" AND DEMOGRAPHIC.\"DISCHARGE_LOCATION\" = \"LONG TERM CARE HOSPITAL\"", "question_refine_tok": ["calculate", "the", "average", "age", "of", "female", "patients", "who", "were", "discharged", "to", "long", "term", "care", "hospital", "."], "sql_tok": ["SELECT", "AVG", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"GENDER\"", "=", "\"F\"", "AND", "DEMOGRAPHIC.\"DISCHARGE_LOCATION\"", "=", "\"LONG", "TERM", "CARE", "HOSPITAL\""]}
{"key": "88e7d0489a8a25e29d2d72fe43c208e8", "format": {"table": [0], "cond": [[0, 6, 0, "M"], [0, 15, 0, "SNF"]], "agg_col": [[0, 4]], "sel": 2}, "question_refine": "find the maximum age of male patients whose discharge location is snf.", "sql": "SELECT MAX ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"GENDER\" = \"M\" AND DEMOGRAPHIC.\"DISCHARGE_LOCATION\" = \"SNF\"", "question_refine_tok": ["find", "the", "maximum", "age", "of", "male", "patients", "whose", "discharge", "location", "is", "snf", "."], "sql_tok": ["SELECT", "MAX", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"GENDER\"", "=", "\"M\"", "AND", "DEMOGRAPHIC.\"DISCHARGE_LOCATION\"", "=", "\"SNF\""]}
{"key": "07f9e5ea7ba538b73cce9e2446522bf8", "format": {"table": [0], "cond": [[0, 6, 0, "F"], [0, 16, 0, "GASTROINTESTINAL BLEED"]], "agg_col": [[0, 4]], "sel": 3}, "question_refine": "calculate the minimum age of female patients who had gastrointestinal bleed as primary disease?", "sql": "SELECT MIN ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"GENDER\" = \"F\" AND DEMOGRAPHIC.\"DIAGNOSIS\" = \"GASTROINTESTINAL BLEED\"", "question_refine_tok": ["calculate", "the", "minimum", "age", "of", "female", "patients", "who", "had", "gastrointestinal", "bleed", "as", "primary", "disease", "?"], "sql_tok": ["SELECT", "MIN", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"GENDER\"", "=", "\"F\"", "AND", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"GASTROINTESTINAL", "BLEED\""]}
{"key": "a04053b65b4e0a526f0eb2e1b027f139", "format": {"table": [0], "cond": [[0, 6, 0, "M"], [0, 16, 0, "OVERDOSE"]], "agg_col": [[0, 4]], "sel": 2}, "question_refine": "what is the maximum age of male patients diagnosed with primary disease overdose?", "sql": "SELECT MAX ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"GENDER\" = \"M\" AND DEMOGRAPHIC.\"DIAGNOSIS\" = \"OVERDOSE\"", "question_refine_tok": ["what", "is", "the", "maximum", "age", "of", "male", "patients", "diagnosed", "with", "primary", "disease", "overdose", "?"], "sql_tok": ["SELECT", "MAX", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"GENDER\"", "=", "\"M\"", "AND", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"OVERDOSE\""]}
{"key": "95715270fb6291a1bc4411e87f316243", "format": {"table": [0], "cond": [[0, 6, 0, "M"], [0, 4, 3, 24]], "agg_col": [[0, 4]], "sel": 4}, "question_refine": "find out the average age of male patients aged more than or equal to 24", "sql": "SELECT AVG ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"GENDER\" = \"M\" AND DEMOGRAPHIC.\"AGE\" >= \"24\"", "question_refine_tok": ["find", "out", "the", "average", "age", "of", "male", "patients", "aged", "more", "than", "or", "equal", "to", "24"], "sql_tok": ["SELECT", "AVG", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"GENDER\"", "=", "\"M\"", "AND", "DEMOGRAPHIC.\"AGE\"", ">=", "\"24\""]}
{"key": "02147b1f44bdb370c58befcdb779f4f6", "format": {"table": [0], "cond": [[0, 6, 0, "M"], [0, 4, 3, 54]], "agg_col": [[0, 4]], "sel": 3}, "question_refine": "calculate the minimum age of male patients who are 54 years or older than that.", "sql": "SELECT MIN ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"GENDER\" = \"M\" AND DEMOGRAPHIC.\"AGE\" >= \"54\"", "question_refine_tok": ["calculate", "the", "minimum", "age", "of", "male", "patients", "who", "are", "54", "years", "or", "older", "than", "that", "."], "sql_tok": ["SELECT", "MIN", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"GENDER\"", "=", "\"M\"", "AND", "DEMOGRAPHIC.\"AGE\"", ">=", "\"54\""]}
{"key": "0d6939ea7e7229353b55c8e51e27e242", "format": {"table": [0], "cond": [[0, 6, 0, "F"], [0, 10, 0, 1]], "agg_col": [[0, 4]], "sel": 2}, "question_refine": "calculate the maximum age of female patients who were admitted to hospital for a day.", "sql": "SELECT MAX ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"GENDER\" = \"F\" AND DEMOGRAPHIC.\"DAYS_STAY\" = \"1\"", "question_refine_tok": ["calculate", "the", "maximum", "age", "of", "female", "patients", "who", "were", "admitted", "to", "hospital", "for", "a", "day", "."], "sql_tok": ["SELECT", "MAX", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"GENDER\"", "=", "\"F\"", "AND", "DEMOGRAPHIC.\"DAYS_STAY\"", "=", "\"1\""]}
{"key": "ac4878fcb21e4703a73ca747ce9bd819", "format": {"table": [0], "cond": [[0, 6, 0, "M"], [0, 10, 0, 5]], "agg_col": [[0, 4]], "sel": 2}, "question_refine": "what is the maximum age of male patients who stayed in hospital for 5 days?", "sql": "SELECT MAX ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"GENDER\" = \"M\" AND DEMOGRAPHIC.\"DAYS_STAY\" = \"5\"", "question_refine_tok": ["what", "is", "the", "maximum", "age", "of", "male", "patients", "who", "stayed", "in", "hospital", "for", "5", "days", "?"], "sql_tok": ["SELECT", "MAX", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"GENDER\"", "=", "\"M\"", "AND", "DEMOGRAPHIC.\"DAYS_STAY\"", "=", "\"5\""]}
{"key": "0e952b08f68237025d354d7f78002818", "format": {"table": [0], "cond": [[0, 6, 0, "M"], [0, 10, 0, 20]], "agg_col": [[0, 4]], "sel": 2}, "question_refine": "specify the maximum age of male patients who remained admitted in hospital for 20 days. ", "sql": "SELECT MAX ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"GENDER\" = \"M\" AND DEMOGRAPHIC.\"DAYS_STAY\" = \"20\"", "question_refine_tok": ["specify", "the", "maximum", "age", "of", "male", "patients", "who", "remained", "admitted", "in", "hospital", "for", "20", "days", "."], "sql_tok": ["SELECT", "MAX", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"GENDER\"", "=", "\"M\"", "AND", "DEMOGRAPHIC.\"DAYS_STAY\"", "=", "\"20\""]}
{"key": "bb32861221acb7493b42a12fce4769b6", "format": {"table": [0], "cond": [[0, 6, 0, "M"], [0, 10, 0, 27]], "agg_col": [[0, 4]], "sel": 4}, "question_refine": "calculate the average age of male patients who have stayed in hospital for 27 days.", "sql": "SELECT AVG ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"GENDER\" = \"M\" AND DEMOGRAPHIC.\"DAYS_STAY\" = \"27\"", "question_refine_tok": ["calculate", "the", "average", "age", "of", "male", "patients", "who", "have", "stayed", "in", "hospital", "for", "27", "days", "."], "sql_tok": ["SELECT", "AVG", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"GENDER\"", "=", "\"M\"", "AND", "DEMOGRAPHIC.\"DAYS_STAY\"", "=", "\"27\""]}
{"key": "822832e2d35ed42025ec20b201dd7eef", "format": {"table": [0], "cond": [[0, 6, 0, "M"], [0, 18, 1, 2078]], "agg_col": [[0, 4]], "sel": 3}, "question_refine": "calculate the minimum age of male patients who were born after 2078.", "sql": "SELECT MIN ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"GENDER\" = \"M\" AND DEMOGRAPHIC.\"DOB_YEAR\" > \"2078\"", "question_refine_tok": ["calculate", "the", "minimum", "age", "of", "male", "patients", "who", "were", "born", "after", "2078", "."], "sql_tok": ["SELECT", "MIN", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"GENDER\"", "=", "\"M\"", "AND", "DEMOGRAPHIC.\"DOB_YEAR\"", ">", "\"2078\""]}
{"key": "8c182c6e8b8ec7c9edf817d41ad093ae", "format": {"table": [0], "cond": [[0, 7, 0, "SPAN"], [0, 16, 0, "OVERDOSE"]], "agg_col": [[0, 4]], "sel": 4}, "question_refine": "calculate the average age of spanish speaking patients who have overdose primary disease.", "sql": "SELECT AVG ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"LANGUAGE\" = \"SPAN\" AND DEMOGRAPHIC.\"DIAGNOSIS\" = \"OVERDOSE\"", "question_refine_tok": ["calculate", "the", "average", "age", "of", "spanish", "speaking", "patients", "who", "have", "overdose", "primary", "disease", "."], "sql_tok": ["SELECT", "AVG", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"LANGUAGE\"", "=", "\"SPAN\"", "AND", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"OVERDOSE\""]}
{"key": "925b64a7b970e5a56de55e7db18fbd8f", "format": {"table": [0], "cond": [[0, 7, 0, "CAPE"], [0, 16, 0, "HYPERGLYCEMIA"]], "agg_col": [[0, 4]], "sel": 4}, "question_refine": "what is the average age of patients whose language is cape and primary disease is hyperglycemia?", "sql": "SELECT AVG ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"LANGUAGE\" = \"CAPE\" AND DEMOGRAPHIC.\"DIAGNOSIS\" = \"HYPERGLYCEMIA\"", "question_refine_tok": ["what", "is", "the", "average", "age", "of", "patients", "whose", "language", "is", "cape", "and", "primary", "disease", "is", "hyperglycemia", "?"], "sql_tok": ["SELECT", "AVG", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"LANGUAGE\"", "=", "\"CAPE\"", "AND", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"HYPERGLYCEMIA\""]}
{"key": "a7d6a83b8b3aaf21dafd25bcee27258e", "format": {"table": [0], "cond": [[0, 7, 0, "ENGL"], [0, 16, 0, "SEPSIS"]], "agg_col": [[0, 4]], "sel": 2}, "question_refine": "calculate the maximum age of english speaking patients who have sepsis primary disease.", "sql": "SELECT MAX ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"LANGUAGE\" = \"ENGL\" AND DEMOGRAPHIC.\"DIAGNOSIS\" = \"SEPSIS\"", "question_refine_tok": ["calculate", "the", "maximum", "age", "of", "english", "speaking", "patients", "who", "have", "sepsis", "primary", "disease", "."], "sql_tok": ["SELECT", "MAX", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"LANGUAGE\"", "=", "\"ENGL\"", "AND", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"SEPSIS\""]}
{"key": "ae1f244625f4fdea70dbcfc038f2a2ed", "format": {"table": [0], "cond": [[0, 9, 0, "URGENT"], [0, 11, 0, "Self Pay"]], "agg_col": [[0, 4]], "sel": 4}, "question_refine": "calculate the average age of self pay insurance patients who had urgent hospital admission.", "sql": "SELECT AVG ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ADMISSION_TYPE\" = \"URGENT\" AND DEMOGRAPHIC.\"INSURANCE\" = \"Self Pay\"", "question_refine_tok": ["calculate", "the", "average", "age", "of", "self", "pay", "insurance", "patients", "who", "had", "urgent", "hospital", "admission", "."], "sql_tok": ["SELECT", "AVG", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ADMISSION_TYPE\"", "=", "\"URGENT\"", "AND", "DEMOGRAPHIC.\"INSURANCE\"", "=", "\"Self", "Pay\""]}
{"key": "928495bf6e5d07038672946ee7801428", "format": {"table": [0], "cond": [[0, 9, 0, "ELECTIVE"], [0, 11, 0, "Medicaid"]], "agg_col": [[0, 4]], "sel": 2}, "question_refine": "what is the maximum age of patients whose admission type is elective and insurance is medicaid?", "sql": "SELECT MAX ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ADMISSION_TYPE\" = \"ELECTIVE\" AND DEMOGRAPHIC.\"INSURANCE\" = \"Medicaid\"", "question_refine_tok": ["what", "is", "the", "maximum", "age", "of", "patients", "whose", "admission", "type", "is", "elective", "and", "insurance", "is", "medicaid", "?"], "sql_tok": ["SELECT", "MAX", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ADMISSION_TYPE\"", "=", "\"ELECTIVE\"", "AND", "DEMOGRAPHIC.\"INSURANCE\"", "=", "\"Medicaid\""]}
{"key": "007b736a7e85c0d907a1aa0574bcd582", "format": {"table": [0], "cond": [[0, 9, 0, "EMERGENCY"], [0, 16, 0, "BRAIN MASS;INTRACRANIAL HEMORRHAGE"]], "agg_col": [[0, 4]], "sel": 4}, "question_refine": "how many patients were admitted in emergency primarily for brain mass; intracranial hemorrhage ?", "sql": "SELECT AVG ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ADMISSION_TYPE\" = \"EMERGENCY\" AND DEMOGRAPHIC.\"DIAGNOSIS\" = \"BRAIN MASS;INTRACRANIAL HEMORRHAGE\"", "question_refine_tok": ["how", "many", "patients", "were", "admitted", "in", "emergency", "primarily", "for", "brain", "mass", ";", "intracranial", "hemorrhage", "?"], "sql_tok": ["SELECT", "AVG", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ADMISSION_TYPE\"", "=", "\"EMERGENCY\"", "AND", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"BRAIN", "MASS;INTRACRANIAL", "HEMORRHAGE\""]}
{"key": "935565ac3f8101d1f13fc0393a9f8e6f", "format": {"table": [0], "cond": [[0, 9, 0, "EMERGENCY"], [0, 16, 0, "T5 FRACTURE"]], "agg_col": [[0, 4]], "sel": 4}, "question_refine": "how many patients were admitted in emergency primarily for t5 fracture?", "sql": "SELECT AVG ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ADMISSION_TYPE\" = \"EMERGENCY\" AND DEMOGRAPHIC.\"DIAGNOSIS\" = \"T5 FRACTURE\"", "question_refine_tok": ["how", "many", "patients", "were", "admitted", "in", "emergency", "primarily", "for", "t5", "fracture", "?"], "sql_tok": ["SELECT", "AVG", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ADMISSION_TYPE\"", "=", "\"EMERGENCY\"", "AND", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"T5", "FRACTURE\""]}
{"key": "043f09d41386cd759fd9242478d6e6a9", "format": {"table": [0], "cond": [[0, 9, 0, "EMERGENCY"], [0, 22, 3, 2173]], "agg_col": [[0, 4]], "sel": 3}, "question_refine": "what is the minimum age of patients whose admission type is emergency and admitted in the year  2173 or above?", "sql": "SELECT MIN ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ADMISSION_TYPE\" = \"EMERGENCY\" AND DEMOGRAPHIC.\"ADMITYEAR\" >= \"2173\"", "question_refine_tok": ["what", "is", "the", "minimum", "age", "of", "patients", "whose", "admission", "type", "is", "emergency", "and", "admitted", "in", "the", "year", " ", "2173", "or", "above", "?"], "sql_tok": ["SELECT", "MIN", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ADMISSION_TYPE\"", "=", "\"EMERGENCY\"", "AND", "DEMOGRAPHIC.\"ADMITYEAR\"", ">=", "\"2173\""]}
{"key": "a91f19e15d1efa55a1fee067b317778e", "format": {"table": [0], "cond": [[0, 9, 0, "EMERGENCY"], [0, 22, 3, 2175]], "agg_col": [[0, 4]], "sel": 3}, "question_refine": "find the minimum age of patients who were admitted in emergency in or after the year 2175.", "sql": "SELECT MIN ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ADMISSION_TYPE\" = \"EMERGENCY\" AND DEMOGRAPHIC.\"ADMITYEAR\" >= \"2175\"", "question_refine_tok": ["find", "the", "minimum", "age", "of", "patients", "who", "were", "admitted", "in", "emergency", "in", "or", "after", "the", "year", "2175", "."], "sql_tok": ["SELECT", "MIN", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ADMISSION_TYPE\"", "=", "\"EMERGENCY\"", "AND", "DEMOGRAPHIC.\"ADMITYEAR\"", ">=", "\"2175\""]}
{"key": "0f06b77b423037f77d9cf551771a846d", "format": {"table": [0], "cond": [[0, 11, 0, "Medicaid"], [0, 12, 0, "BLACK/CAPE VERDEAN"]], "agg_col": [[0, 4]], "sel": 2}, "question_refine": "calculate the maximum age of medicaid patients who belong to black/cape verdean ethnic background.", "sql": "SELECT MAX ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"INSURANCE\" = \"Medicaid\" AND DEMOGRAPHIC.\"ETHNICITY\" = \"BLACK/CAPE VERDEAN\"", "question_refine_tok": ["calculate", "the", "maximum", "age", "of", "medicaid", "patients", "who", "belong", "to", "black", "/", "cape", "verdean", "ethnic", "background", "."], "sql_tok": ["SELECT", "MAX", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"INSURANCE\"", "=", "\"Medicaid\"", "AND", "DEMOGRAPHIC.\"ETHNICITY\"", "=", "\"BLACK/CAPE", "VERDEAN\""]}
{"key": "0c4724e628885e5157f1df2895d68640", "format": {"table": [0], "cond": [[0, 11, 0, "Medicaid"], [0, 16, 0, "CEREBRAL ANEURYSM/SDA"]], "agg_col": [[0, 4]], "sel": 3}, "question_refine": "calculate the minimum age of medicaid insurance patients who have cerebral aneurysm/sda primary disease.", "sql": "SELECT MIN ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"INSURANCE\" = \"Medicaid\" AND DEMOGRAPHIC.\"DIAGNOSIS\" = \"CEREBRAL ANEURYSM/SDA\"", "question_refine_tok": ["calculate", "the", "minimum", "age", "of", "medicaid", "insurance", "patients", "who", "have", "cerebral", "aneurysm", "/", "sda", "primary", "disease", "."], "sql_tok": ["SELECT", "MIN", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"INSURANCE\"", "=", "\"Medicaid\"", "AND", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"CEREBRAL", "ANEURYSM/SDA\""]}
{"key": "a816fec20bc720c2ed48d227c3fdcd7c", "format": {"table": [0], "cond": [[0, 11, 0, "Self Pay"], [0, 16, 0, "COLANGITIS"]], "agg_col": [[0, 4]], "sel": 2}, "question_refine": "what is the maximum age of patients whose insurance is self pay and primary disease is colangitis?", "sql": "SELECT MAX ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"INSURANCE\" = \"Self Pay\" AND DEMOGRAPHIC.\"DIAGNOSIS\" = \"COLANGITIS\"", "question_refine_tok": ["what", "is", "the", "maximum", "age", "of", "patients", "whose", "insurance", "is", "self", "pay", "and", "primary", "disease", "is", "colangitis", "?"], "sql_tok": ["SELECT", "MAX", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"INSURANCE\"", "=", "\"Self", "Pay\"", "AND", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"COLANGITIS\""]}
{"key": "a5ed08bdcb4c1e8be442640558d76f49", "format": {"table": [0], "cond": [[0, 11, 0, "Government"], [0, 10, 0, 1]], "agg_col": [[0, 4]], "sel": 4}, "question_refine": "calculate the average age of government health insurance patients who were admitted in hospital for a day.", "sql": "SELECT AVG ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"INSURANCE\" = \"Government\" AND DEMOGRAPHIC.\"DAYS_STAY\" = \"1\"", "question_refine_tok": ["calculate", "the", "average", "age", "of", "government", "health", "insurance", "patients", "who", "were", "admitted", "in", "hospital", "for", "a", "day", "."], "sql_tok": ["SELECT", "AVG", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"INSURANCE\"", "=", "\"Government\"", "AND", "DEMOGRAPHIC.\"DAYS_STAY\"", "=", "\"1\""]}
{"key": "ad0222178143c1561a0a8a027757997f", "format": {"table": [0], "cond": [[0, 11, 0, "Government"], [0, 19, 2, 2154.0]], "agg_col": [[0, 4]], "sel": 2}, "question_refine": "find the maximum age of patients with government insurance who expired before the year 2154.", "sql": "SELECT MAX ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"INSURANCE\" = \"Government\" AND DEMOGRAPHIC.\"DOD_YEAR\" < \"2154.0\"", "question_refine_tok": ["find", "the", "maximum", "age", "of", "patients", "with", "government", "insurance", "who", "expired", "before", "the", "year", "2154", "."], "sql_tok": ["SELECT", "MAX", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"INSURANCE\"", "=", "\"Government\"", "AND", "DEMOGRAPHIC.\"DOD_YEAR\"", "<", "\"2154.0\""]}
{"key": "0af601deae0ffdd1c1ffcfb2b892150c", "format": {"table": [0], "cond": [[0, 11, 0, "Government"], [0, 22, 3, 2177]], "agg_col": [[0, 4]], "sel": 2}, "question_refine": "out of total number of patients admitted in the year more than or equal to 2177, calculate the maximum age of patients on government insurance", "sql": "SELECT MAX ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"INSURANCE\" = \"Government\" AND DEMOGRAPHIC.\"ADMITYEAR\" >= \"2177\"", "question_refine_tok": ["out", "of", "total", "number", "of", "patients", "admitted", "in", "the", "year", "more", "than", "or", "equal", "to", "2177", ",", "calculate", "the", "maximum", "age", "of", "patients", "on", "government", "insurance"], "sql_tok": ["SELECT", "MAX", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"INSURANCE\"", "=", "\"Government\"", "AND", "DEMOGRAPHIC.\"ADMITYEAR\"", ">=", "\"2177\""]}
{"key": "032b7fd8d2d178537cac4b13edbb0d02", "format": {"table": [0], "cond": [[0, 12, 0, "WHITE"], [0, 10, 0, 2]], "agg_col": [[0, 4]], "sel": 4}, "question_refine": "calculate the average age of white ethnic background patients who stayed in hospital for 2 days.", "sql": "SELECT AVG ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ETHNICITY\" = \"WHITE\" AND DEMOGRAPHIC.\"DAYS_STAY\" = \"2\"", "question_refine_tok": ["calculate", "the", "average", "age", "of", "white", "ethnic", "background", "patients", "who", "stayed", "in", "hospital", "for", "2", "days", "."], "sql_tok": ["SELECT", "AVG", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ETHNICITY\"", "=", "\"WHITE\"", "AND", "DEMOGRAPHIC.\"DAYS_STAY\"", "=", "\"2\""]}
{"key": "00a69fd54e5ae5eb444fc1cc6c67a71f", "format": {"table": [0], "cond": [[0, 12, 0, "WHITE"], [0, 22, 3, 2120]], "agg_col": [[0, 4]], "sel": 2}, "question_refine": "how many patients belonging to white ethnic origin were admitted in the year less than or equal to 2120?", "sql": "SELECT MAX ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ETHNICITY\" = \"WHITE\" AND DEMOGRAPHIC.\"ADMITYEAR\" >= \"2120\"", "question_refine_tok": ["how", "many", "patients", "belonging", "to", "white", "ethnic", "origin", "were", "admitted", "in", "the", "year", "less", "than", "or", "equal", "to", "2120", "?"], "sql_tok": ["SELECT", "MAX", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ETHNICITY\"", "=", "\"WHITE\"", "AND", "DEMOGRAPHIC.\"ADMITYEAR\"", ">=", "\"2120\""]}
{"key": "0c5abc6a996b56827cc5e3c820f9fc6e", "format": {"table": [0], "cond": [[0, 13, 0, 0], [0, 15, 0, "DISC-TRAN CANCER/CHLDRN H"]], "agg_col": [[0, 4]], "sel": 3}, "question_refine": "tell me the minimum age of patients with death status as 0 and discharge location as disc-tran cancer chldrn h.", "sql": "SELECT MIN ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"EXPIRE_FLAG\" = \"0\" AND DEMOGRAPHIC.\"DISCHARGE_LOCATION\" = \"DISC-TRAN CANCER/CHLDRN H\"", "question_refine_tok": ["tell", "me", "the", "minimum", "age", "of", "patients", "with", "death", "status", "as", "0", "and", "discharge", "location", "as", "disc", "-", "tran", "cancer", "chldrn", "h."], "sql_tok": ["SELECT", "MIN", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"EXPIRE_FLAG\"", "=", "\"0\"", "AND", "DEMOGRAPHIC.\"DISCHARGE_LOCATION\"", "=", "\"DISC-TRAN", "CANCER/CHLDRN", "H\""]}
{"key": "0c99cbdfd068bcf1ca99f14d7e69b1fc", "format": {"table": [0], "cond": [[0, 13, 0, 0], [0, 16, 0, "COPD EXACERBATION"]], "agg_col": [[0, 4]], "sel": 4}, "question_refine": "what is average age of patients whose death status is 0 and primary disease is copd exacerbation?", "sql": "SELECT AVG ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"EXPIRE_FLAG\" = \"0\" AND DEMOGRAPHIC.\"DIAGNOSIS\" = \"COPD EXACERBATION\"", "question_refine_tok": ["what", "is", "average", "age", "of", "patients", "whose", "death", "status", "is", "0", "and", "primary", "disease", "is", "copd", "exacerbation", "?"], "sql_tok": ["SELECT", "AVG", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"EXPIRE_FLAG\"", "=", "\"0\"", "AND", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"COPD", "EXACERBATION\""]}
{"key": "0f6b59272b612f8e29af1fcd07b26294", "format": {"table": [0], "cond": [[0, 13, 0, 0], [0, 22, 3, 2121]], "agg_col": [[0, 4]], "sel": 4}, "question_refine": "calculate the average age of living patients admitted to hospital in or after 2121.", "sql": "SELECT AVG ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"EXPIRE_FLAG\" = \"0\" AND DEMOGRAPHIC.\"ADMITYEAR\" >= \"2121\"", "question_refine_tok": ["calculate", "the", "average", "age", "of", "living", "patients", "admitted", "to", "hospital", "in", "or", "after", "2121", "."], "sql_tok": ["SELECT", "AVG", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"EXPIRE_FLAG\"", "=", "\"0\"", "AND", "DEMOGRAPHIC.\"ADMITYEAR\"", ">=", "\"2121\""]}
{"key": "0fb29b869eb69f0c6120ea7886440d17", "format": {"table": [0], "cond": [[0, 14, 0, "EMERGENCY ROOM ADMIT"], [0, 16, 0, "NEWBORN"]], "agg_col": [[0, 4]], "sel": 2}, "question_refine": "what is the maximum age of patients whose admission location is emergency room admit and primary disease =is newborn?", "sql": "SELECT MAX ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"ADMISSION_LOCATION\" = \"EMERGENCY ROOM ADMIT\" AND DEMOGRAPHIC.\"DIAGNOSIS\" = \"NEWBORN\"", "question_refine_tok": ["what", "is", "the", "maximum", "age", "of", "patients", "whose", "admission", "location", "is", "emergency", "room", "admit", "and", "primary", "disease", "=", "is", "newborn", "?"], "sql_tok": ["SELECT", "MAX", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"ADMISSION_LOCATION\"", "=", "\"EMERGENCY", "ROOM", "ADMIT\"", "AND", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"NEWBORN\""]}
{"key": "0f749a69b07f78a4c26f1deaff3d9478", "format": {"table": [0], "cond": [[0, 15, 0, "HOME"], [0, 16, 0, "POSTERIOR COMMUNICATING ANEURYSM/SDA"]], "agg_col": [[0, 4]], "sel": 3}, "question_refine": "calculate the minimum age of patients who have posterior communicating aneurysm/sda who were discharged home.", "sql": "SELECT MIN ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DISCHARGE_LOCATION\" = \"HOME\" AND DEMOGRAPHIC.\"DIAGNOSIS\" = \"POSTERIOR COMMUNICATING ANEURYSM/SDA\"", "question_refine_tok": ["calculate", "the", "minimum", "age", "of", "patients", "who", "have", "posterior", "communicating", "aneurysm", "/", "sda", "who", "were", "discharged", "home", "."], "sql_tok": ["SELECT", "MIN", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DISCHARGE_LOCATION\"", "=", "\"HOME\"", "AND", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"POSTERIOR", "COMMUNICATING", "ANEURYSM/SDA\""]}
{"key": "a49bdc060a8b7d9ec1b5de75bed29f95", "format": {"table": [0], "cond": [[0, 15, 0, "HOME"], [0, 16, 0, "SIGMOID DIVERTICULITIS, COLOVESTICAL FISTULA/SDA"]], "agg_col": [[0, 4]], "sel": 4}, "question_refine": "how many patients are discharge to home and diagnosed with primary disease sigmoid diverticulitis, colovesical fistula/sda?", "sql": "SELECT AVG ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DISCHARGE_LOCATION\" = \"HOME\" AND DEMOGRAPHIC.\"DIAGNOSIS\" = \"SIGMOID DIVERTICULITIS, COLOVESTICAL FISTULA/SDA\"", "question_refine_tok": ["how", "many", "patients", "are", "discharge", "to", "home", "and", "diagnosed", "with", "primary", "disease", "sigmoid", "diverticulitis", ",", "colovesical", "fistula", "/", "sda", "?"], "sql_tok": ["SELECT", "AVG", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DISCHARGE_LOCATION\"", "=", "\"HOME\"", "AND", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"SIGMOID", "DIVERTICULITIS,", "COLOVESTICAL", "FISTULA/SDA\""]}
{"key": "9c1019a7798259f92a6b8ff6f856cc7c", "format": {"table": [0], "cond": [[0, 15, 0, "HOME HEALTH CARE"], [0, 16, 0, "GASTROINTESTINAL BLEED"]], "agg_col": [[0, 4]], "sel": 4}, "question_refine": "what is the average age of patients who are discharged due to home health care and diagnosed with primary disease gastrointestinal bleed?", "sql": "SELECT AVG ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DISCHARGE_LOCATION\" = \"HOME HEALTH CARE\" AND DEMOGRAPHIC.\"DIAGNOSIS\" = \"GASTROINTESTINAL BLEED\"", "question_refine_tok": ["what", "is", "the", "average", "age", "of", "patients", "who", "are", "discharged", "due", "to", "home", "health", "care", "and", "diagnosed", "with", "primary", "disease", "gastrointestinal", "bleed", "?"], "sql_tok": ["SELECT", "AVG", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DISCHARGE_LOCATION\"", "=", "\"HOME", "HEALTH", "CARE\"", "AND", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"GASTROINTESTINAL", "BLEED\""]}
{"key": "87e3e952f4c6888eca35ce87b6a82e7d", "format": {"table": [0], "cond": [[0, 16, 0, "BOWEL OBSTRUCTION"], [0, 4, 3, 71]], "agg_col": [[0, 4]], "sel": 4}, "question_refine": "what is average age of patients whose primary disease is bowel obstruction and who are aged equal or more than 71 years?", "sql": "SELECT AVG ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"BOWEL OBSTRUCTION\" AND DEMOGRAPHIC.\"AGE\" >= \"71\"", "question_refine_tok": ["what", "is", "average", "age", "of", "patients", "whose", "primary", "disease", "is", "bowel", "obstruction", "and", "who", "are", "aged", "equal", "or", "more", "than", "71", "years", "?"], "sql_tok": ["SELECT", "AVG", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"BOWEL", "OBSTRUCTION\"", "AND", "DEMOGRAPHIC.\"AGE\"", ">=", "\"71\""]}
{"key": "93f7e3c6d731913be0fe62fa99971a02", "format": {"table": [0], "cond": [[0, 16, 0, "GANGRENE"], [0, 10, 0, 27]], "agg_col": [[0, 4]], "sel": 3}, "question_refine": "calculate the minimum age of patients who were hospitalized for 27 days and had gangrene primary disease.", "sql": "SELECT MIN ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"GANGRENE\" AND DEMOGRAPHIC.\"DAYS_STAY\" = \"27\"", "question_refine_tok": ["calculate", "the", "minimum", "age", "of", "patients", "who", "were", "hospitalized", "for", "27", "days", "and", "had", "gangrene", "primary", "disease", "."], "sql_tok": ["SELECT", "MIN", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"GANGRENE\"", "AND", "DEMOGRAPHIC.\"DAYS_STAY\"", "=", "\"27\""]}
{"key": "0df82d3e22799b2179485006b810705b", "format": {"table": [0], "cond": [[0, 16, 0, "PNEUMONIA"], [0, 10, 0, 30]], "agg_col": [[0, 4]], "sel": 2}, "question_refine": "calculate the maximum age of patients who have pneumonia primary disease and were hospitalized for 30 days.", "sql": "SELECT MAX ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"PNEUMONIA\" AND DEMOGRAPHIC.\"DAYS_STAY\" = \"30\"", "question_refine_tok": ["calculate", "the", "maximum", "age", "of", "patients", "who", "have", "pneumonia", "primary", "disease", "and", "were", "hospitalized", "for", "30", "days", "."], "sql_tok": ["SELECT", "MAX", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"PNEUMONIA\"", "AND", "DEMOGRAPHIC.\"DAYS_STAY\"", "=", "\"30\""]}
{"key": "a579823574b933d68ebf892d228f7f10", "format": {"table": [0], "cond": [[0, 16, 0, "ABDOMINAL PAIN"], [0, 10, 0, 43]], "agg_col": [[0, 4]], "sel": 2}, "question_refine": "calculate the maximum age of patients with abdominal pain primary disease who were admitted to hospital for 43 days.", "sql": "SELECT MAX ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"ABDOMINAL PAIN\" AND DEMOGRAPHIC.\"DAYS_STAY\" = \"43\"", "question_refine_tok": ["calculate", "the", "maximum", "age", "of", "patients", "with", "abdominal", "pain", "primary", "disease", "who", "were", "admitted", "to", "hospital", "for", "43", "days", "."], "sql_tok": ["SELECT", "MAX", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"ABDOMINAL", "PAIN\"", "AND", "DEMOGRAPHIC.\"DAYS_STAY\"", "=", "\"43\""]}
{"key": "8188575c168485955174dd92b0caf881", "format": {"table": [0], "cond": [[0, 16, 0, "GASTROINTESTINAL BLEED"], [0, 10, 0, 17]], "agg_col": [[0, 4]], "sel": 3}, "question_refine": "calculate the minimum age of patients who have gastrointestinal bleed primary disease and were hospitalized for 17 days.", "sql": "SELECT MIN ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"GASTROINTESTINAL BLEED\" AND DEMOGRAPHIC.\"DAYS_STAY\" = \"17\"", "question_refine_tok": ["calculate", "the", "minimum", "age", "of", "patients", "who", "have", "gastrointestinal", "bleed", "primary", "disease", "and", "were", "hospitalized", "for", "17", "days", "."], "sql_tok": ["SELECT", "MIN", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"GASTROINTESTINAL", "BLEED\"", "AND", "DEMOGRAPHIC.\"DAYS_STAY\"", "=", "\"17\""]}
{"key": "867cf2582e1a2e8d3334cc3214b69472", "format": {"table": [0], "cond": [[0, 16, 0, "TRANSIENT ISCHEMIC ATTACK"], [0, 18, 1, 2095]], "agg_col": [[0, 4]], "sel": 3}, "question_refine": "calculate the minimum age of patients born after 2095 who have transient ischemic attack primary disease.", "sql": "SELECT MIN ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"TRANSIENT ISCHEMIC ATTACK\" AND DEMOGRAPHIC.\"DOB_YEAR\" > \"2095\"", "question_refine_tok": ["calculate", "the", "minimum", "age", "of", "patients", "born", "after", "2095", "who", "have", "transient", "ischemic", "attack", "primary", "disease", "."], "sql_tok": ["SELECT", "MIN", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"TRANSIENT", "ISCHEMIC", "ATTACK\"", "AND", "DEMOGRAPHIC.\"DOB_YEAR\"", ">", "\"2095\""]}
{"key": "a64d7ee4e6048464ae58bbd5755b176b", "format": {"table": [0], "cond": [[0, 16, 0, "HYPOXIA"], [0, 19, 2, 2155.0]], "agg_col": [[0, 4]], "sel": 3}, "question_refine": "provide the minimum age of patients primarily diagnosed for hypoxia and expired before the year 2155.", "sql": "SELECT MIN ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DIAGNOSIS\" = \"HYPOXIA\" AND DEMOGRAPHIC.\"DOD_YEAR\" < \"2155.0\"", "question_refine_tok": ["provide", "the", "minimum", "age", "of", "patients", "primarily", "diagnosed", "for", "hypoxia", "and", "expired", "before", "the", "year", "2155", "."], "sql_tok": ["SELECT", "MIN", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DIAGNOSIS\"", "=", "\"HYPOXIA\"", "AND", "DEMOGRAPHIC.\"DOD_YEAR\"", "<", "\"2155.0\""]}
{"key": "aa5c833aff53e5280432151c138ab09c", "format": {"table": [0], "cond": [[0, 4, 3, 70], [0, 22, 3, 2157]], "agg_col": [[0, 4]], "sel": 4}, "question_refine": "provide the average age of patients of age 70 and above and admitted in or after the year 2157.", "sql": "SELECT AVG ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"AGE\" >= \"70\" AND DEMOGRAPHIC.\"ADMITYEAR\" >= \"2157\"", "question_refine_tok": ["provide", "the", "average", "age", "of", "patients", "of", "age", "70", "and", "above", "and", "admitted", "in", "or", "after", "the", "year", "2157", "."], "sql_tok": ["SELECT", "AVG", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"AGE\"", ">=", "\"70\"", "AND", "DEMOGRAPHIC.\"ADMITYEAR\"", ">=", "\"2157\""]}
{"key": "a426cd8188f05febde85a7fb7beea7e6", "format": {"table": [0], "cond": [[0, 10, 0, 20], [0, 19, 2, 2131.0]], "agg_col": [[0, 4]], "sel": 2}, "question_refine": "calculate the maximum age of patients who were hospitalized for 20 days and died before 2131.", "sql": "SELECT MAX ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DAYS_STAY\" = \"20\" AND DEMOGRAPHIC.\"DOD_YEAR\" < \"2131.0\"", "question_refine_tok": ["calculate", "the", "maximum", "age", "of", "patients", "who", "were", "hospitalized", "for", "20", "days", "and", "died", "before", "2131", "."], "sql_tok": ["SELECT", "MAX", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DAYS_STAY\"", "=", "\"20\"", "AND", "DEMOGRAPHIC.\"DOD_YEAR\"", "<", "\"2131.0\""]}
{"key": "06fdfc5ab31f978981e3b81b323b4d0a", "format": {"table": [0], "cond": [[0, 10, 0, 20], [0, 19, 2, 2186.0]], "agg_col": [[0, 4]], "sel": 3}, "question_refine": "find the minimum age of patients who stayed in the hospital for 20 days and died before the year 2186.", "sql": "SELECT MIN ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DAYS_STAY\" = \"20\" AND DEMOGRAPHIC.\"DOD_YEAR\" < \"2186.0\"", "question_refine_tok": ["find", "the", "minimum", "age", "of", "patients", "who", "stayed", "in", "the", "hospital", "for", "20", "days", "and", "died", "before", "the", "year", "2186", "."], "sql_tok": ["SELECT", "MIN", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DAYS_STAY\"", "=", "\"20\"", "AND", "DEMOGRAPHIC.\"DOD_YEAR\"", "<", "\"2186.0\""]}
{"key": "8367cefd0993d59dc5c70209c60326a5", "format": {"table": [0], "cond": [[0, 10, 0, 4], [0, 22, 3, 2177]], "agg_col": [[0, 4]], "sel": 3}, "question_refine": "what is the minimum age of patients who stayed in hospital for 4 days and were admitted in or after the year 2177?", "sql": "SELECT MIN ( DEMOGRAPHIC.\"AGE\" ) FROM DEMOGRAPHIC WHERE DEMOGRAPHIC.\"DAYS_STAY\" = \"4\" AND DEMOGRAPHIC.\"ADMITYEAR\" >= \"2177\"", "question_refine_tok": ["what", "is", "the", "minimum", "age", "of", "patients", "who", "stayed", "in", "hospital", "for", "4", "days", "and", "were", "admitted", "in", "or", "after", "the", "year", "2177", "?"], "sql_tok": ["SELECT", "MIN", "(", "DEMOGRAPHIC.\"AGE\"", ")", "FROM", "DEMOGRAPHIC", "WHERE", "DEMOGRAPHIC.\"DAYS_STAY\"", "=", "\"4\"", "AND", "DEMOGRAPHIC.\"ADMITYEAR\"", ">=", "\"2177\""]}