class_docstr: MovieLens rating dataset.
docstr: Returns SplitGenerators.
docstr_tok: ["Returns","SplitGenerators","."]
code: def _split_generators(
      self, dl_manager: tfds.download.DownloadManager
  ) -> List[tfds.core.SplitGenerator]:
      """Returns SplitGenerators."""
      extracted_path = dl_manager.download_and_extract(
          self.builder_config.download_url,
      )
      dir_path = os.path.join(
          extracted_path,
          "ml-%s" % self.builder_config.format_version,
      )
      return [
          tfds.core.SplitGenerator(
              name=tfds.Split.TRAIN,
              gen_kwargs={"dir_path": dir_path},
          ),
      ]
  
imports: from __future__ import annotations
  import os
  import textwrap
  from typing import Any, Callable, Dict, Iterator, List, Optional, Tuple
  from absl import logging
  import numpy
  import tensorflow_datasets.public_api
  from tensorflow_datasets.structured import movielens_parsing
label_desc: Use image node_id 2 for calling the Movielens obj's underlying member method code with example usage: obj._split_generators(dl_manager) and returns: list