class_docstr: Gigaword summarization dataset.
docstr: Returns SplitGenerators.
docstr_tok: ["Returns","SplitGenerators","."]
code: def _split_generators(self, dl_manager):
      """Returns SplitGenerators."""
      dl_path = dl_manager.download_and_extract(_URL)
      pattern = os.path.join(dl_path, "org_data", "%s.%s.txt")
      return [
          tfds.core.SplitGenerator(
              name=tfds.Split.TRAIN,
              gen_kwargs={
                  "src_path": pattern % ("train", "src"),
                  "tgt_path": pattern % ("train", "tgt"),
                  "replace_unk": True,
              },
          ),
          tfds.core.SplitGenerator(
              name=tfds.Split.VALIDATION,
              gen_kwargs={
                  "src_path": pattern % ("dev", "src"),
                  "tgt_path": pattern % ("dev", "tgt"),
                  "replace_unk": True,
              },
          ),
          tfds.core.SplitGenerator(
              name=tfds.Split.TEST,
              gen_kwargs={
                  "src_path": pattern % ("test", "src"),
                  "tgt_path": pattern % ("test", "tgt"),
                  "replace_unk": False,
              },
          ),
      ]
  
file_path: datasets/tensorflow_datasets/summarization/gigaword.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 Gigaword obj's underlying member method code with example usage: obj._split_generators(dl_manager) and returns: list