class_docstr: MultiNLI: The Stanford Question Answering Dataset. Version 1.1.
code: def _split_generators(self, dl_manager):
      downloaded_dir = dl_manager.download_and_extract(ROOT_URL)
      mnli_path = os.path.join(downloaded_dir, "multinli_1.0")
      train_path = os.path.join(mnli_path, "multinli_1.0_train.txt")
  
      validation_path = os.path.join(
          mnli_path, "multinli_1.0_dev_mismatched.txt"
      )
  
      return [
          tfds.core.SplitGenerator(
              name=tfds.Split.TRAIN, gen_kwargs={"filepath": train_path}
          ),
          tfds.core.SplitGenerator(
              name=tfds.Split.VALIDATION,
              gen_kwargs={"filepath": validation_path},
          ),
      ]
  
file_path: datasets/tensorflow_datasets/text/multi_nli_mismatch.py
imports: import os
  from tensorflow_datasets.core.utils.lazy_imports_utils import tensorflow
  import tensorflow_datasets.public_api
label_desc: Use image node_id 2 for calling the MultiNLIMismatch obj's underlying member method code with example usage: obj._split_generators(dl_manager) and returns: list