old_contents: # -*- coding:utf-8 -*-
  # Author: hankcs
  # Date: 2021-05-20 16:25
  from typing import Union, List, Callable
  
  from hanlp.common.dataset import TransformableDataset
  from hanlp.utils.io_util import read_cells
  
  STS_B_TRAIN = 'http://ixa2.si.ehu.es/stswiki/images/4/48/Stsbenchmark.tar.gz#sts-train.csv'
  STS_B_DEV = 'http://ixa2.si.ehu.es/stswiki/images/4/48/Stsbenchmark.tar.gz#sts-dev.csv'
  STS_B_TEST = 'http://ixa2.si.ehu.es/stswiki/images/4/48/Stsbenchmark.tar.gz#sts-test.csv'
  
  
  class SemanticTextualSimilarityDataset(TransformableDataset):
      def __init__(self,
                   data: Union[str, List],
                   sent_a_col,
                   sent_b_col,
                   similarity_col,
                   delimiter='auto',
                   transform: Union[Callable, List] = None,
                   cache=None,
                   generate_idx=None) -> None:
          self.delimiter = delimiter
          self.similarity_col = similarity_col
          self.sent_b_col = sent_b_col
          self.sent_a_col = sent_a_col
          super().__init__(data, transform, cache, generate_idx)
  
      def load_file(self, filepath: str):
          for i, cells in enumerate(read_cells(filepath, strip=True, delimiter=self.delimiter)):
              if len(cells) != 3:
                  print(i, cells)
              yield {
                  'sent_a': cells[self.sent_a_col],
                  'sent_b': cells[self.sent_b_col],
                  'similarity': float(cells[self.similarity_col])
              }
  
new_contents: # -*- coding:utf-8 -*-
  # Author: hankcs
  # Date: 2021-05-20 16:25
  from typing import Union, List, Callable
  
  from hanlp.common.dataset import TransformableDataset
  from hanlp.utils.io_util import read_cells
  
  STS_B_TRAIN = 'http://ixa2.si.ehu.es/stswiki/images/4/48/Stsbenchmark.tar.gz#sts-train.csv'
  STS_B_DEV = 'http://ixa2.si.ehu.es/stswiki/images/4/48/Stsbenchmark.tar.gz#sts-dev.csv'
  STS_B_TEST = 'http://ixa2.si.ehu.es/stswiki/images/4/48/Stsbenchmark.tar.gz#sts-test.csv'
  
  
  class SemanticTextualSimilarityDataset(TransformableDataset):
      def __init__(self,
                   data: Union[str, List],
                   sent_a_col,
                   sent_b_col,
                   similarity_col,
                   delimiter='auto',
                   transform: Union[Callable, List] = None,
                   cache=None,
                   generate_idx=None) -> None:
          self.delimiter = delimiter
          self.similarity_col = similarity_col
          self.sent_b_col = sent_b_col
          self.sent_a_col = sent_a_col
          super().__init__(data, transform, cache, generate_idx)
  
      def load_file(self, filepath: str):
          for i, cells in enumerate(read_cells(filepath, strip=True, delimiter=self.delimiter)):
              yield {
                  'sent_a': cells[self.sent_a_col],
                  'sent_b': cells[self.sent_b_col],
                  'similarity': float(cells[self.similarity_col])
              }
  
subject: Remove debugging codes