code: def _extract_wit_features(example):
      return [
          _get_integer_list_feature(example, "knowledge"),
          _get_integer_list_feature(example, "caption"),
          _get_bytes_feature(example, "image"),
      ]
  
imports: import functools
  from big_vision.datasets.imagenet import class_names
  import numpy
  from scenic.dataset_lib import dataset_utils
  from scenic.dataset_lib.big_transfer import registry
  from scenic.dataset_lib.big_transfer.preprocessing import utils
  from scenic.projects.t5 import tokenizer
  import tensorflow
label_desc: Use image node_id 13 for calling a global function with example usage: _extract_wit_features(example) and returns: list