text: 
  import sys
  sys.path.append('..')
  from pronoun_cracker import *
  
  import numpy as np
  import pandas as pd
  
  cracker = PronounCracker('pronoun', '../input', '../output')
  cracker.load_data()
  
  print(cracker.train.columns)
  
  renaming = {
      'p_a' : 'P-A-e2e', 'p_b' : 'P-B-e2e',
      'a_p' : 'A-P-e2e', 'b_p' : 'B-P-e2e'}
  
  train = cracker.train.rename(columns = renaming)
  test = cracker.test.rename(columns = renaming)
  
  print(train[['A-e2e', 'B-e2e', 'P-A-e2e', 'P-B-e2e', 'A-P-e2e', 'B-P-e2e']].head())
  train[['A-e2e', 'B-e2e', 'P-A-e2e', 'P-B-e2e', 'A-P-e2e', 'B-P-e2e']].to_csv("train_e2e.tsv", sep='\t')
  test[['A-e2e', 'B-e2e', 'P-A-e2e', 'P-B-e2e', 'A-P-e2e', 'B-P-e2e']].to_csv("test_e2e.tsv", sep='\t')
  
  