How to use the t5.data.preprocessors.record function in t5

def _get_glue_text_preprocessor(builder_config):
  """Return the glue preprocessor.

  Args:
    builder_config: a BuilderConfig
  Returns:
    a preprocessor function
  """
  # stsb uses a floating point target, so use special preprocessor
  if builder_config.name == "stsb":
    return preprocessors.stsb
  elif builder_config.name == "wsc.fixed":
    return preprocessors.wsc
  elif builder_config.name == "record":
    return preprocessors.record
  else:
    if "mnli" in builder_config.name or builder_config.name == "ax":
      # Cast the GLUE diagnostic task as MNLI.
      benchmark_name = "mnli"
    elif builder_config.name in ["axb", "axg"]:
      # Cast the SuperGLUE diagnostic tasks as RTE.
      benchmark_name = "rte"
    else:
      benchmark_name = builder_config.name
    if builder_config.name == "multirc":
      feature_names = ("question", "answer", "paragraph")
    elif builder_config.name == "wic":
      # This ignores the start/end indices which show where in each sentence the
      # word appears.
      # TODO(craffel): Investigate using those indices.
      feature_names = ("sentence1", "sentence2", "word")