class_docstr: DatasetBuilder for drop dataset.
docstr: Returns the dataset metadata.
docstr_tok: ["Returns","the","dataset","metadata","."]
code: def _info(self) -> tfds.core.DatasetInfo:
      """Returns the dataset metadata."""
      return tfds.core.DatasetInfo(
          builder=self,
          description=_DESCRIPTION,
          features=tfds.features.FeaturesDict(
              {
                  "passage": tfds.features.Text(),
                  "question": tfds.features.Text(),
                  "answer": tfds.features.Text(),
                  "validated_answers": tfds.features.Sequence(
                      tfds.features.Text()
                  ),
                  "query_id": tfds.features.Text(),
              }
          ),
          homepage="https://allennlp.org/drop",
          citation=_CITATION,
      )
  
file_path: datasets/tensorflow_datasets/text/drop/drop.py
imports: import json
  import tensorflow_datasets.public_api
label_desc: Use image node_id 1 for calling the Drop obj's underlying member method code with example usage: obj._info() and returns: tfds