class_docstr: BigPatent datasets.
class_docstr_tok: ["BigPatent","datasets","."]
docstr: Returns SplitGenerators.
docstr_tok: ["Returns","SplitGenerators","."]
code: def _split_generators(self, dl_manager):
      """Returns SplitGenerators."""
      dl_path = dl_manager.download_and_extract(_URL)
      split_types = ["train", "val", "test"]
      extract_paths = dl_manager.extract(
          {
              k: os.path.join(
                  dl_path, "bigPatentDataNonTokenized", k + ".tar.gz"
              )
              for k in split_types
          }
      )
      extract_paths = {
          k: os.path.join(extract_paths[k], k) for k in split_types
      }
  
      return [
          tfds.core.SplitGenerator(
              name=tfds.Split.TRAIN,
              gen_kwargs={"path": extract_paths["train"]},
          ),
          tfds.core.SplitGenerator(
              name=tfds.Split.VALIDATION,
              gen_kwargs={"path": extract_paths["val"]},
          ),
          tfds.core.SplitGenerator(
              name=tfds.Split.TEST,
              gen_kwargs={"path": extract_paths["test"]},
          ),
      ]
  
imports: import json
  import os
  import re
  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