text: import pandas as pd
  import numpy as np
  
  df = pd.read_csv("mturk_data.csv", sep="\t", names=["label", "text", "worker", "hit"])
  
  mask1 = df["text"].str.count("I ") > 0
  mask2 = df["text"].str.count(" i ") > 0
  mask3 = df["text"].str.count(" me ") > 0
  mask4 = df["text"].str.count(" my ") > 0
  mask = mask1 | mask2 | mask3 | mask4
  print(mask.mean())
  
  df_good = df[mask]
  df_bad = df[~mask]
  
  df_good.to_csv("mturk_data_good.csv", sep="\t", index=None, header=None)
  df_bad.to_csv("mturk_data_bad.csv", sep="\t", index=None, header=None)
  