--- a
+++ b/datasets.py
@@ -0,0 +1,83 @@
+# -*- coding: utf-8 -*-
+"""Untitled39.ipynb
+
+Automatically generated by Colab.
+
+Original file is located at
+    https://colab.research.google.com/drive/1pcHOb70S4TwkxIKgrNTFfLdc71vMgOKg
+"""
+
+import torch
+import time
+import evaluate
+import pandas as pd
+import numpy as np
+from transformers import DataCollatorForSeq2Seq
+
+
+from transformers import AutoModelForSeq2SeqLM, AutoTokenizer
+from transformers import Seq2SeqTrainingArguments, DataCollatorForSeq2Seq, Seq2SeqTrainer
+#from datasets import load_dataset
+
+from google.colab import drive
+drive.mount('/content/drive')
+
+import os
+folder_path = '/content/drive/My Drive/nosocomial/hapi'
+os.chdir(folder_path)
+print("Current Directory:", os.getcwd())
+
+hapi_trainLabels = pd.read_csv('train.labels.csv')
+hapi_trainChronologies=pd.read_csv('train.chronologies.csv')
+hapi_trainLabels=pd.read_csv('train.labels.csv')
+hapi_develAdmittimes=pd.read_csv('devel.admittimes.csv')
+hapi_develChronologies=pd.read_csv('devel.chronologies.csv')
+hapi_develLabels=pd.read_csv('devel.labels.csv')
+hapi_negativeLabels=pd.read_csv('negative_labels.csv')
+hapi_testAdmittimes=pd.read_csv('test.admittimes.csv')
+hapi_testchronologies=pd.read_csv('test.chronologies.csv')
+hapi_testLabels =pd.read_csv('test.labels.csv')
+hapi_testChronologies =pd.read_csv('test.chronologies.csv')
+hapi_testLabels =pd.read_csv('test.labels.csv')
+
+haki_trainLabels = pd.read_csv('train.labels.csv')
+haki_trainChronologies=pd.read_csv('train.chronologies.csv')
+haki_trainLabels=pd.read_csv('train.labels.csv')
+haki_develAdmittimes=pd.read_csv('devel.admittimes.csv')
+haki_develChronologies=pd.read_csv('devel.chronologies.csv')
+haki_develLabels=pd.read_csv('devel.labels.csv')
+haki_negativeLabels=pd.read_csv('negative_labels.csv')
+haki_testAdmittimes=pd.read_csv('test.admittimes.csv')
+haki_testchronologies=pd.read_csv('test.chronologies.csv')
+haki_testLabels =pd.read_csv('test.labels.csv')
+haki_testChronologies =pd.read_csv('test.chronologies.csv')
+haki_testLabels =pd.read_csv('test.labels.csv')
+
+haa_trainLabels = pd.read_csv('train.labels.csv')
+haa_trainChronologies=pd.read_csv('train.chronologies.csv')
+haa_develAdmittimes=pd.read_csv('devel.admittimes.csv')
+haa_develChronologies=pd.read_csv('devel.chronologies.csv')
+haa_develLabels=pd.read_csv('devel.labels.csv')
+haa_negativeLabels=pd.read_csv('negative_labels.csv')
+haa_testAdmittimes=pd.read_csv('test.admittimes.csv')
+haa_testchronologies=pd.read_csv('test.chronologies.csv')
+haa_testLabels =pd.read_csv('test.labels.csv')
+haa_testChronologies =pd.read_csv('test.chronologies.csv')
+haa_testLabels =pd.read_csv('test.labels.csv')
+
+
+
+"""####  HAA	C0002871 (Anemia)	anemia, anaemia, HAA	WHO[19]"""
+
+haa_trainChronologies.head()
+
+haa_trainChronologies.head()
+
+haa_develAdmittimes.head()
+
+haa_develChronologies.head()
+
+
+
+
+