def METHOD_NAME(dataset: tf.data.Dataset) -> tf.data.Dataset:
  def _parse_example_bytes(serialized_proto_tensor):
    field_dict = {'snippets': tf.io.FixedLenFeature(shape=(), dtype=tf.string)}
    parsed_fields = tf.io.parse_example(serialized_proto_tensor, field_dict)
    return collections.OrderedDict(snippets=parsed_fields['snippets'])
  return dataset.map(_parse_example_bytes, num_parallel_calls=tf.data.AUTOTUNE)