class_docstr: IRC Disentanglement dataset.
docstr: Returns SplitGenerators.
docstr_tok: ["Returns","SplitGenerators","."]
code: def _split_generators(
      self, dl_manager: tfds.download.DownloadManager
  ) -> List[tfds.core.SplitGenerator]:
      """Returns SplitGenerators."""
      base_dir = dl_manager.download_and_extract(_DOWNLOAD_URL)
      data_dir = os.path.join(base_dir, _DOWNLOAD_ARCHIVE_SUBDIR)
  
      return [
          tfds.core.SplitGenerator(
              name=tfds.Split.TRAIN,
              gen_kwargs={
                  "day_to_paths": _get_day_to_paths(
                      os.path.join(data_dir, "train")
                  )
              },
          ),
          tfds.core.SplitGenerator(
              name=tfds.Split.VALIDATION,
              gen_kwargs={
                  "day_to_paths": _get_day_to_paths(
                      os.path.join(data_dir, "dev")
                  )
              },
          ),
          tfds.core.SplitGenerator(
              name=tfds.Split.TEST,
              gen_kwargs={
                  "day_to_paths": _get_day_to_paths(
                      os.path.join(data_dir, "test")
                  )
              },
          ),
      ]
  
file_path: datasets/tensorflow_datasets/datasets/irc_disentanglement/irc_disentanglement_dataset_builder.py
imports: import collections
  import os
  from typing import List
  from tensorflow_datasets.core.utils.lazy_imports_utils import tensorflow
  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