text: import pandas as pd
  import numpy as np
  import os
  from file_loader import get_dataframes
  
  dataframes = get_dataframes()
  
  # For each dataframe - generating 10 other dfs
  
  for name in dataframes:
      df = pd.read_csv(name, header=None)
      dataset_name = name.split('/')[-1].split('.')[0]
      for i in range(10):
          columns = np.random.choice(df.columns, int(len(df.columns) * 0.7), replace=False)
          samples = np.random.choice(df.index, int(len(df.index) * 0.7,), replace=False)
          new_df = df[columns]
          new_df = new_df.iloc[samples]
          new_df.to_csv(os.path.join(os.getcwd(), 'Generated', f'{dataset_name}_{i}.csv'), index=None)