tensorflow_datasets/question_answering/ai2_arc.py [74:98]:
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          description="""\
          Easy Set of 5197 questions for the ARC Challenge.
          """,
      ),
  ]

  def _info(self):
    # Most questions have four possible answers, but a few have five.
    options = ["A", "B", "C", "D", "E"]
    return tfds.core.DatasetInfo(
        builder=self,
        # This is the description that will appear on the datasets page.
        description=_DESCRIPTION,
        features=tfds.features.FeaturesDict({
            "id":
                tfds.features.Text(),
            "question":
                tfds.features.Text(),
            "choices":
                tfds.features.Sequence({
                    "text": tfds.features.Text(),
                    "label": tfds.features.ClassLabel(names=options)
                }),
            "answerKey":
                tfds.features.ClassLabel(names=options),
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tensorflow_datasets/question_answering/ai2_arc_with_ir.py [95:119]:
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
          description="""\
          Easy Set of 5197 questions for the ARC Challenge.
          """,
      ),
  ]

  def _info(self):
    # Most questions have four possible answers, but a few have five.
    options = ["A", "B", "C", "D", "E"]
    return tfds.core.DatasetInfo(
        builder=self,
        # This is the description that will appear on the datasets page.
        description=_DESCRIPTION,
        features=tfds.features.FeaturesDict({
            "id":
                tfds.features.Text(),
            "question":
                tfds.features.Text(),
            "choices":
                tfds.features.Sequence({
                    "text": tfds.features.Text(),
                    "label": tfds.features.ClassLabel(names=options)
                }),
            "answerKey":
                tfds.features.ClassLabel(names=options),
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