new_contents: import argparse
  import pickle
  import random
  import time
  import numpy as np
  from pytorch_transformers import BertTokenizer
  
  from ..utils import logger
  
  def main():
      parser = argparse.ArgumentParser(description="Preprocess the data to avoid re-doing it several times by (tokenization + token_to_ids).")
      parser.add_argument('--file_path', type=str, default='data/dump.txt',
                          help='The path to the data.')
      parser.add_argument('--bert_tokenizer', type=str, default='bert-base-uncased',
                          help="The tokenizer to use.")
      parser.add_argument('--dump_file', type=str, default='data/dump',
                          help='The dump file prefix.')
      args = parser.parse_args()
  
  
      logger.info(f'Loading Tokenizer ({args.bert_tokenizer})')
      bert_tokenizer = BertTokenizer.from_pretrained(args.bert_tokenizer)
  
  
      logger.info(f'Loading text from {args.file_path}')
      with open(args.file_path, 'r', encoding='utf8') as fp:
          data = fp.readlines()
  
  
      logger.info(f'Start encoding')
      logger.info(f'{len(data)} examples to process.')
  
      rslt = []
      iter = 0
      interval = 10000
      start = time.time()
      for text in data:
          text = f'[CLS] {text.strip()} [SEP]'
          token_ids = bert_tokenizer.encode(text)
          rslt.append(token_ids)
  
          iter += 1
          if iter % interval == 0:
              end = time.time()
              logger.info(f'{iter} examples processed. - {(end-start)/interval:.2f}s/expl')
              start = time.time()
      logger.info('Finished binarization')
      logger.info(f'{len(data)} examples processed.')
  
  
      dp_file = f'{args.dump_file}.{args.bert_tokenizer}.pickle'
      rslt_ = [np.uint16(d) for d in rslt]
      random.shuffle(rslt_)
      logger.info(f'Dump to {dp_file}')
      with open(dp_file, 'wb') as handle:
          pickle.dump(rslt_, handle, protocol=pickle.HIGHEST_PROTOCOL)
  
  
  if __name__ == "__main__":
      main()
subject: add `scripts/binarized_data.py`