class_docstr: The Stanford Natural Language Inference (SNLI) Corpus.
code: def _split_generators(self, dl_manager):
      dl_dir = dl_manager.download_and_extract(_DATA_URL)
      data_dir = os.path.join(dl_dir, "snli_1.0")
      return [
          tfds.core.SplitGenerator(
              name=tfds.Split.TEST,
              gen_kwargs={
                  "filepath": os.path.join(
                      data_dir, "snli_1.0_test.txt"
                  )
              },
          ),
          tfds.core.SplitGenerator(
              name=tfds.Split.VALIDATION,
              gen_kwargs={
                  "filepath": os.path.join(data_dir, "snli_1.0_dev.txt")
              },
          ),
          tfds.core.SplitGenerator(
              name=tfds.Split.TRAIN,
              gen_kwargs={
                  "filepath": os.path.join(
                      data_dir, "snli_1.0_train.txt"
                  )
              },
          ),
      ]
  
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 2 for calling the Builder obj's underlying member method code with example usage: obj._split_generators(dl_manager) and returns: list