class_docstr: Scientific Papers.
docstr: Returns SplitGenerators.
code: def _split_generators(self, dl_manager):
      """Returns SplitGenerators."""
      dl_paths = dl_manager.download_and_extract(_URLS)
      path = os.path.join(
          dl_paths[self.builder_config.name],
          self.builder_config.name + "-dataset",
      )
      return [
          tfds.core.SplitGenerator(
              name=tfds.Split.TRAIN,
              gen_kwargs={"path": os.path.join(path, "train.txt")},
          ),
          tfds.core.SplitGenerator(
              name=tfds.Split.VALIDATION,
              gen_kwargs={"path": os.path.join(path, "val.txt")},
          ),
          tfds.core.SplitGenerator(
              name=tfds.Split.TEST,
              gen_kwargs={"path": os.path.join(path, "test.txt")},
          ),
      ]
  
file_path: datasets/tensorflow_datasets/datasets/scientific_papers/scientific_papers_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