class_docstr: The SCROLLS benchmark.
code: def _info(self):
      return tfds.core.DatasetInfo(
          builder=self,
          description=_SCROLLS_DESCRIPTION
          + self.builder_config.description,
          features=tfds.features.FeaturesDict(
              {feature: tfds.features.Text() for feature in _FEATURES}
          ),
          supervised_keys=(_INPUT_KEY, _OUTPUT_KEY),
          homepage=self.builder_config.url,
          citation=self.builder_config.citation
          + "\n"
          + _SCROLLS_CITATION,
      )
  
file_path: datasets/tensorflow_datasets/text/scrolls/scrolls.py
imports: import dataclasses
  import json
  from etils import epath
  import tensorflow_datasets.public_api
label_desc: Use image node_id 1 for calling the Scrolls obj's underlying member method code with example usage: obj._info() and returns: tfds