class_docstr: DatasetBuilder for QReCC dataset.
docstr: Returns SplitGenerators.
docstr_tok: ["Returns","SplitGenerators","."]
code: def _split_generators(
      self, dl_manager: tfds.download.DownloadManager
  ):
      """Returns SplitGenerators."""
      # Downloads the data and defines the splits
      data_dir = dl_manager.download_and_extract(_DATASET_URL)
  
      # Returns the Dict[split names, Iterator[Key, Example]]
      return {
          tfds.Split.TRAIN: self._generate_examples(
              path=data_dir / "qrecc_train.json"
          ),
          tfds.Split.TEST: self._generate_examples(
              path=data_dir / "qrecc_test.json"
          ),
      }
  
file_path: datasets/tensorflow_datasets/text/qrecc/qrecc.py
imports: import json
  import numpy
  import tensorflow_datasets.public_api
label_desc: Use image node_id 2 for calling the QReCC obj's underlying member method code with example usage: obj._split_generators(dl_manager) and returns: dict