code: def _mnli_split_generator(name, data_dir, split, matched):
      return tfds.core.SplitGenerator(
          name=name,
          gen_kwargs={
              "data_file": os.path.join(
                  data_dir,
                  "%s_%s.tsv"
                  % (split, "matched" if matched else "mismatched"),
              ),
              "split": split,
              "mrpc_files": None,
          },
      )
  
file_path: datasets/tensorflow_datasets/text/glue.py
imports: import csv
  import os
  import textwrap
  from etils import epath
  import numpy
  import six
  import tensorflow_datasets.public_api
label_desc: Use image node_id 1 for calling a global function with example usage: _mnli_split_generator(name, data_dir, split, matched) and returns: tfds