class_docstr: ANLI: Adversarial NLI corpus.
docstr: Returns SplitGenerators.
code: def _split_generators(self, dl_manager):
      """Returns SplitGenerators."""
  
      dl_dir = dl_manager.download_and_extract(_ANLI_URL)
  
      return [
          tfds.core.SplitGenerator(
              name=tfds.Split.TEST,
              gen_kwargs={
                  "filepath": os.path.join(
                      dl_dir,
                      EXTRACT_PATH_TOKEN,
                      self._builder_config.round_dir,  # pytype: disable=attribute-error  # always-use-return-annotations
                      "test.jsonl",
                  )
              },
          ),
          tfds.core.SplitGenerator(
              name=tfds.Split.VALIDATION,
              gen_kwargs={
                  "filepath": os.path.join(
                      dl_dir,
                      EXTRACT_PATH_TOKEN,
                      self._builder_config.round_dir,  # pytype: disable=attribute-error  # always-use-return-annotations
                      "dev.jsonl",
                  )
              },
          ),
          tfds.core.SplitGenerator(
              name=tfds.Split.TRAIN,
              gen_kwargs={
                  "filepath": os.path.join(
                      dl_dir,
                      EXTRACT_PATH_TOKEN,
                      self._builder_config.round_dir,  # pytype: disable=attribute-error  # always-use-return-annotations
                      "train.jsonl",
                  )
              },
          ),
      ]
  
file_path: datasets/tensorflow_datasets/datasets/anli/anli_dataset_builder.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 Builder obj's underlying member method code with example usage: obj._split_generators(dl_manager) and returns: list