class_docstr: e-SNLI: Natural Language Inference with Natural Language Explanations corpus.
code: def _info(self):
      return tfds.core.DatasetInfo(
          builder=self,
          description=_DESCRIPTION,
          features=tfds.features.FeaturesDict(
              {
                  "premise": tfds.features.Text(),
                  "hypothesis": tfds.features.Text(),
                  "label": tfds.features.ClassLabel(
                      names=["entailment", "neutral", "contradiction"]
                  ),
                  "explanation_1": tfds.features.Text(),
                  "explanation_2": tfds.features.Text(),
                  "explanation_3": tfds.features.Text(),
              }
          ),
          supervised_keys=None,
          homepage="https://github.com/OanaMariaCamburu/e-SNLI",
          citation=_CITATION,
      )
  
file_path: datasets/tensorflow_datasets/text/esnli.py
imports: import csv
  import os
  from etils import epath
  import tensorflow_datasets.public_api
label_desc: Use image node_id 1 for calling the Esnli obj's underlying member method code with example usage: obj._info() and returns: tfds