Parser

parser.py

import pandas as pd
df=pd.read_csv("drive/My Drive/Data.csv")
Sentences=df['Text']
df['Labels'] = df['Unnamed: 1'].astype(str) +" "+ df['Unnamed: 2'].astype(str)+" "+ df['Unnamed: 3'].astype(str)+" "+ df['Unnamed: 4'].astype(str)+" "+ df['Unnamed: 5'].astype(str)+" "+ df['Unnamed: 6'].astype(str)+" "+ df['Unnamed: 7'].astype(str)+" "+ df['Unnamed: 8'].astype(str)+" "+ df['Unnamed: 9'].astype(str)+" "+ df['Unnamed: 10'].astype(str)+" "+ df['Unnamed: 11'].astype(str)
df=df.drop(columns=['Unnamed: 1', 'Unnamed: 2', 'Unnamed: 3', 'Unnamed: 4',
       'Unnamed: 5', 'Unnamed: 6', 'Unnamed: 7', 'Unnamed: 8', 'Unnamed: 9',
       'Unnamed: 10', 'Unnamed: 11'],axis=1)
Labels=df['Labels']
traindata=[]
for i in range(0,len(Sentences[:95])):
  wordslist=Sentences[i].split(" ")
  labelslist=Labels[i].split(" ")
  

  for j in range(0,len(wordslist[:95])):
    traindata.append([i,wordslist[j],labelslist[j]])
testdata=[]
for i in range(95,105):
  wordslist=Sentences[i].split(" ")
  labelslist=Labels[i].split(" ")
  

  for j in range(0,len(wordslist)):
    testdata.append([i-95,wordslist[j],labelslist[j]])