tensorflow_datasets/text/xnli.py [60:83]:
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  VERSION = tfds.core.Version('1.1.0')

  def _info(self):
    return tfds.core.DatasetInfo(
        builder=self,
        description=_DESCRIPTION,
        features=tfds.features.FeaturesDict({
            'premise':
                tfds.features.Translation(languages=_LANGUAGES,),
            'hypothesis':
                tfds.features.TranslationVariableLanguages(
                    languages=_LANGUAGES,),
            'label':
                tfds.features.ClassLabel(
                    names=['entailment', 'neutral', 'contradiction']),
        }),
        # No default supervised_keys (as we have to pass both premise
        # and hypothesis as input).
        supervised_keys=None,
        homepage='https://www.nyu.edu/projects/bowman/xnli/',
        citation=_CITATION,
    )

  def _split_generators(self, dl_manager):
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tensorflow_datasets/text/xtreme_xnli/xtreme_xnli.py [51:74]:
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  VERSION = tfds.core.Version('1.1.0')

  def _info(self):
    return tfds.core.DatasetInfo(
        builder=self,
        description=_DESCRIPTION,
        features=tfds.features.FeaturesDict({
            'premise':
                tfds.features.Translation(languages=_LANGUAGES,),
            'hypothesis':
                tfds.features.TranslationVariableLanguages(
                    languages=_LANGUAGES,),
            'label':
                tfds.features.ClassLabel(
                    names=['entailment', 'neutral', 'contradiction']),
        }),
        # No default supervised_keys (as we have to pass both premise
        # and hypothesis as input).
        supervised_keys=None,
        homepage='https://www.nyu.edu/projects/bowman/xnli/',
        citation=_CITATION,
    )

  def _split_generators(self, dl_manager):
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