class_docstr: e-SNLI: Natural Language Inference with Natural Language Explanations corpus.
docstr: Returns SplitGenerators.
docstr_tok: ["Returns","SplitGenerators","."]
code: def _split_generators(self, dl_manager):
      """Returns SplitGenerators."""
  
      files = dl_manager.download_and_extract(
          {
              "train": [
                  os.path.join(_URL, "esnli_train_1.csv"),
                  os.path.join(_URL, "esnli_train_2.csv"),
              ],
              "validation": [os.path.join(_URL, "esnli_dev.csv")],
              "test": [os.path.join(_URL, "esnli_test.csv")],
          }
      )
  
      return [
          tfds.core.SplitGenerator(
              name=tfds.Split.TRAIN,
              gen_kwargs={"files": files["train"]},
          ),
          tfds.core.SplitGenerator(
              name=tfds.Split.VALIDATION,
              gen_kwargs={"files": files["validation"]},
          ),
          tfds.core.SplitGenerator(
              name=tfds.Split.TEST,
              gen_kwargs={"files": files["test"]},
          ),
      ]
  
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 2 for calling the Esnli obj's underlying member method code with example usage: obj._split_generators(dl_manager) and returns: list