class_docstr: Natural adversarial examples with ImageNet labels.
docstr: Returns a SplitGenerator for the test set.
docstr_tok: ["Returns","a","SplitGenerator","for","the","test","set","."]
code: def _split_generators(self, dl_manager):
      """Returns a SplitGenerator for the test set."""
      imagenet_a_root = os.path.join(
          dl_manager.download_and_extract(_IMAGENET_A_URL), "imagenet-a"
      )
      return [
          tfds.core.SplitGenerator(
              # The dataset provides only a test split.
              name=tfds.Split.TEST,
              # These kwargs will be passed to _generate_examples
              gen_kwargs={"imagenet_a_root": imagenet_a_root},
          ),
      ]
  
file_path: datasets/tensorflow_datasets/datasets/imagenet_a/imagenet_a_dataset_builder.py
imports: import os
  from tensorflow_datasets.core.utils.lazy_imports_utils import tensorflow
  from tensorflow_datasets.datasets.imagenet2012 import imagenet_common
  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