class_docstr: Natural Questions: A Benchmark for Question Answering Research.
class_docstr_tok: ["Natural","Questions",":","A","Benchmark","for","Question","Answering","Research","."]
docstr: Returns SplitGenerators.
docstr_tok: ["Returns","SplitGenerators","."]
code: def _split_generators(self, dl_manager):
      """Returns SplitGenerators."""
  
      files = dl_manager.download(_DOWNLOAD_URLS)
  
      return [
          tfds.core.SplitGenerator(
              name=tfds.Split.TRAIN,
              gen_kwargs={"filepaths": files["train"]},
          ),
          tfds.core.SplitGenerator(
              name=tfds.Split.VALIDATION,
              gen_kwargs={"filepaths": files["validation"]},
          ),
      ]
  
file_path: datasets/tensorflow_datasets/datasets/natural_questions/natural_questions_dataset_builder.py
imports: import html
  import json
  import os
  import re
  from typing import Optional
  import numpy
  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