class_docstr: DatasetBuilder for scitail 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(_URL)
  
      # Returns the Dict[split names, Iterator[Key, Example]]
      return {
          tfds.Split.TRAIN: self._generate_examples(
              path=data_dir
              / _SCITAIL_DIR
              / _TSV_DIR
              / "scitail_1.0_train.tsv"
          ),
          tfds.Split.VALIDATION: self._generate_examples(
              path=data_dir
              / _SCITAIL_DIR
              / _TSV_DIR
              / "scitail_1.0_dev.tsv"
          ),
          tfds.Split.TEST: self._generate_examples(
              path=data_dir
              / _SCITAIL_DIR
              / _TSV_DIR
              / "scitail_1.0_test.tsv"
          ),
      }
  
imports: import csv
  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: dict