class_docstr: DatasetBuilder for quality dataset.
class_docstr_tok: ["DatasetBuilder","for","quality","dataset","."]
docstr: Returns SplitGenerators.
docstr_tok: ["Returns","SplitGenerators","."]
code: def _split_generators(
      self, dl_manager: tfds.download.DownloadManager
  ):
      """Returns SplitGenerators."""
      path = dl_manager.download_and_extract(_DOWNLOAD_URL)
  
      if self.builder_config.stripped:
          return {
              "train": self._generate_examples(
                  path / "QuALITY.v0.9.htmlstripped.train", "train"
              ),
              "test": self._generate_examples(
                  path / "QuALITY.v0.9.htmlstripped.test", "test"
              ),
              "dev": self._generate_examples(
                  path / "QuALITY.v0.9.htmlstripped.dev", "dev"
              ),
          }
      else:
          return {
              "train": self._generate_examples(
                  path / "QuALITY.v0.9.train", "train"
              ),
              "test": self._generate_examples(
                  path / "QuALITY.v0.9.test", "test"
              ),
              "dev": self._generate_examples(
                  path / "QuALITY.v0.9.dev", "dev"
              ),
          }
  
file_path: datasets/tensorflow_datasets/datasets/quality/quality_dataset_builder.py
imports: import dataclasses
  import json
  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: dict, dict