Returns SplitGenerators.

def _split_generators(self, dl_manager):
    """Returns SplitGenerators."""
    cifar_path = dl_manager.download_and_extract(self._cifar_info.url)
    cifar_info = self._cifar_info

    cifar_path = os.path.join(cifar_path, cifar_info.prefix)

    # Load the label names
    for label_key, label_file in zip(cifar_info.label_keys,
                                     cifar_info.label_files):
      labels_path = os.path.join(cifar_path, label_file)
      with tf.io.gfile.GFile(labels_path) as label_f:
        label_names = [name for name in label_f.read().split("\n") if name]
      self.info.features[label_key].names = label_names

    # Define the splits
    def gen_filenames(filenames):
      for f in filenames:
        yield os.path.join(cifar_path, f)

    return [
        tfds.core.SplitGenerator(
            name=tfds.Split.TRAIN,
            num_shards=10,
            gen_kwargs={"filepaths": gen_filenames(cifar_info.train_files)}),
        tfds.core.SplitGenerator(
            name=tfds.Split.TEST,
            num_shards=1,
            gen_kwargs={"filepaths": gen_filenames(cifar_info.test_files)}),
    ]