class_docstr: DatasetBuilder for dolphin_number_word problem 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,
          # Per author's recommendation, we discard the ans_simple field.
          features=tfds.features.FeaturesDict(
              {
                  "id": tfds.features.Text(),
                  "index": np.int32,
                  "text": tfds.features.Text(),
                  "sources": tfds.features.Text(),  # Flattened list of str.
                  "equations": tfds.features.Text(),  # Flattened list of str.
                  "ans": tfds.features.Text(),
              }
          ),
          supervised_keys=("text", "ans"),  # Alternatively text, ans.
          homepage=(
              "https://www.microsoft.com/en-us/research/project/sigmadolphin-2/"
          ),
          citation=_CITATION,
      )
  
file_path: datasets/tensorflow_datasets/text/dolphin_number_word/dolphin_number_word.py
imports: from __future__ import annotations
  import json
  import numpy
  import tensorflow_datasets.public_api
label_desc: Use image node_id 1 for calling the DolphinNumberWord obj's underlying member method code with example usage: obj._info() and returns: tfds