class_docstr: Multi-News dataset.
docstr: Returns SplitGenerators.
docstr_tok: ["Returns","SplitGenerators","."]
code: def _split_generators(self, dl_manager):
      """Returns SplitGenerators."""
      extract_path = os.path.join(
          dl_manager.download_and_extract(_URL), "multi-news-original"
      )
      return [
          tfds.core.SplitGenerator(
              name=tfds.Split.TRAIN,
              gen_kwargs={"path": os.path.join(extract_path, "train")},
          ),
          tfds.core.SplitGenerator(
              name=tfds.Split.VALIDATION,
              gen_kwargs={"path": os.path.join(extract_path, "val")},
          ),
          tfds.core.SplitGenerator(
              name=tfds.Split.TEST,
              gen_kwargs={"path": os.path.join(extract_path, "test")},
          ),
      ]
  
file_path: datasets/tensorflow_datasets/summarization/multi_news.py
imports: import os
  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 MultiNews obj's underlying member method code with example usage: obj._split_generators(dl_manager) and returns: list