class_docstr: Corrupted MNIST dataset.
docstr: Return the train, test split of MNIST-C.
  
  Args:
    dl_manager: download manager object.
  
  Returns:
    train split, test split.
docstr_tok: ["Return","the","train",",","test","split","of","MNIST-C.","Args",":","dl_manager",":","download","manager","object",".","Returns",":","train","split",",","test","split","."]
code: def _split_generators(self, dl_manager):
      """Return the train, test split of MNIST-C.
  
      Args:
        dl_manager: download manager object.
  
      Returns:
        train split, test split.
      """
      path = dl_manager.download_and_extract(_DOWNLOAD_URL)
      return [
          tfds.core.SplitGenerator(
              name=tfds.Split.TRAIN,
              gen_kwargs={
                  "data_dir": os.path.join(path, _DIRNAME),
                  "is_train": True,
              },
          ),
          tfds.core.SplitGenerator(
              name=tfds.Split.TEST,
              gen_kwargs={
                  "data_dir": os.path.join(path, _DIRNAME),
                  "is_train": False,
              },
          ),
      ]
  
file_path: datasets/tensorflow_datasets/image_classification/mnist_corrupted.py
imports: import os
  import numpy
  from tensorflow_datasets.core.utils.lazy_imports_utils import tensorflow
  from tensorflow_datasets.image_classification import mnist
  import tensorflow_datasets.public_api
label_desc: Use image node_id 2 for calling the MNISTCorrupted obj's underlying member method code with example usage: obj._split_generators(dl_manager) and returns: list