class_docstr: The Stanford Natural Language Inference (SNLI) Corpus.
code: def _info(self):
      return self.dataset_info_from_configs(
          features=tfds.features.FeaturesDict(
              {
                  "premise": tfds.features.Text(),
                  "hypothesis": tfds.features.Text(),
                  "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://nlp.stanford.edu/projects/snli/",
      )
  
file_path: datasets/tensorflow_datasets/datasets/snli/snli_dataset_builder.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 Builder obj's underlying member method code with example usage: obj._info() and returns: self