def _slice_split_info_to_instruction_dicts(self, list_sliced_split_info):
    """Return the list of files and reading mask of the files to read."""
    instruction_dicts = []
    for sliced_split_info in list_sliced_split_info:
      mask = splits_lib.slice_to_percent_mask(sliced_split_info.slice_value)

      # Compute filenames from the given split
      filepaths = list(sorted(self._build_split_filenames(
          split_info_list=[sliced_split_info.split_info],
      )))

      # Compute the offsets
      if sliced_split_info.split_info.num_examples:
        shard_id2num_examples = splits_lib.get_shard_id2num_examples(
            sliced_split_info.split_info.num_shards,
            sliced_split_info.split_info.num_examples,
        )
        mask_offsets = splits_lib.compute_mask_offsets(shard_id2num_examples)
      else:
        logging.warning(
            "Statistics not present in the dataset. TFDS is not able to load "
            "the total number of examples, so using the subsplit API may not "
            "provide precise subsplits."
        )
        mask_offsets = [0] * len(filepaths)

      for filepath, mask_offset in zip(filepaths, mask_offsets):
        instruction_dicts.append({
            "filepath": filepath,
            "mask": mask,
            "mask_offset": mask_offset,
        })
    return instruction_dicts
Return the list of files and reading mask of the files to read.