class_docstr: Movie reviews with human annotated rationales.
docstr: Returns SplitGenerators.
docstr_tok: ["Returns","SplitGenerators","."]
code: def _split_generators(self, dl_manager):
      """Returns SplitGenerators."""
      dl_dir = dl_manager.download_and_extract(_DOWNLOAD_URL)
      data_dir = os.path.join(dl_dir, "movies")
  
      return [
          tfds.core.SplitGenerator(
              name=tfds.Split.TRAIN,
              gen_kwargs={
                  "data_dir": data_dir,
                  "filepath": os.path.join(data_dir, "train.jsonl"),
              },
          ),
          tfds.core.SplitGenerator(
              name=tfds.Split.VALIDATION,
              gen_kwargs={
                  "data_dir": data_dir,
                  "filepath": os.path.join(data_dir, "val.jsonl"),
              },
          ),
          tfds.core.SplitGenerator(
              name=tfds.Split.TEST,
              gen_kwargs={
                  "data_dir": data_dir,
                  "filepath": os.path.join(data_dir, "test.jsonl"),
              },
          ),
      ]
  
file_path: datasets/tensorflow_datasets/text/movie_rationales.py
imports: import json
  import os
  from etils import epath
  import tensorflow_datasets.public_api
label_desc: Use image node_id 2 for calling the MovieRationales obj's underlying member method code with example usage: obj._split_generators(dl_manager) and returns: list