class_docstr: DatasetBuilder for drop 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(_DATA_LINK)
  
      path = path / "drop_dataset"
  
      return {
          "train": self._generate_examples(
              path / "drop_dataset_train.json"
          ),
          "dev": self._generate_examples(
              path / "drop_dataset_dev.json"
          ),
      }
  
file_path: datasets/tensorflow_datasets/text/drop/drop.py
imports: import json
  import tensorflow_datasets.public_api
label_desc: Use image node_id 2 for calling the Drop obj's underlying member method code with example usage: obj._split_generators(dl_manager) and returns: dict