code: def convert_comments_data(input_filename, output_filename=None):
      """Convert the public civil comments data.
  
      In the orginal dataset
      https://www.kaggle.com/c/jigsaw-unintended-bias-in-toxicity-classification/data
      for each indentity annotation columns, the value comes
      from percent of raters thought the comment referenced the identity. When
      processing the raw data, the threshold 0.5 is chosen and the identity terms
      are grouped together by their categories. For example if one comment has {
      male: 0.3, female: 1.0, transgender: 0.0, heterosexual: 0.8,
      homosexual_gay_or_lesbian: 1.0 }. After the processing, the data will be {
      gender: [female], sexual_orientation: [heterosexual,
      homosexual_gay_or_lesbian] }.
  
      Args:
        input_filename: The path to the raw civil comments data, with extension
          'tfrecord' or 'csv'.
        output_filename: The path to write the processed civil comments data.
  
      Returns:
        The file path to the converted dataset.
  
      Raises:
        ValueError: If the input_filename does not have a supported extension.
      """
      extension = os.path.splitext(input_filename)[1][1:]
  
      if not output_filename:
          output_filename = os.path.join(
              tempfile.mkdtemp(), "output." + extension
          )
  
      if extension == "tfrecord":
          return _convert_comments_data_tfrecord(
              input_filename, output_filename
          )
      elif extension == "csv":
          return _convert_comments_data_csv(
              input_filename, output_filename
          )
  
      raise ValueError(
          "input_filename must have supported file extension csv or tfrecord, "
          "given: {}".format(input_filename)
      )
  
file_path: fairness-indicators/fairness_indicators/tutorial_utils/util.py
imports: import os
  import os.path
  import tempfile
  import pandas
  import tensorflow
  import tensorflow_model_analysis
  from google.protobuf import text_format
label_desc: Use image node_id 1 for calling a global function with example usage: convert_comments_data(input_filename, output_filename) and returns: _convert_comments_data_tfrecord, _convert_comments_data_csv