code: def _load_example(
      path: tf.Tensor,
      label: tf.Tensor,
  ) -> Dict[str, tf.Tensor]:
      img = tf.io.read_file(path)
      return {
          "image": img,
          "label": tf.cast(label, tf.int64),
          "image/filename": path,
      }
  
imports: from __future__ import annotations
  import collections
  import os
  import random
  from typing import Dict, List, NoReturn, Optional, Tuple
  from tensorflow_datasets.core import dataset_builder
  from tensorflow_datasets.core import dataset_info
  from tensorflow_datasets.core import decode
  from tensorflow_datasets.core import features
  from tensorflow_datasets.core import splits
  from tensorflow_datasets.core.utils import type_utils
  from tensorflow_datasets.core.utils import version
  from tensorflow_datasets.core.utils.lazy_imports_utils import tensorflow
label_desc: Use image node_id 1 for calling a global function with example usage: _load_example(path, label) and returns: dict