code: def builder(
      name: str, config: Optional[str] = None, **builder_kwargs
  ) -> HuggingfaceDatasetBuilder:
      hf_repo_id = _from_tfds_to_hf(name)
      return HuggingfaceDatasetBuilder(
          hf_repo_id=hf_repo_id, hf_config=config, **builder_kwargs
      )
  
imports: from __future__ import annotations
  import datetime
  import functools
  import io
  import itertools
  import multiprocessing
  import os
  from typing import Any, Dict, Mapping, Optional, Tuple, Type, Union
  from absl import logging
  from etils import epath
  import numpy
  from tensorflow_datasets.core import dataset_builder
  from tensorflow_datasets.core import dataset_info
  from tensorflow_datasets.core import download
  from tensorflow_datasets.core import features
  from tensorflow_datasets.core import file_adapters
  from tensorflow_datasets.core import lazy_imports_lib
  from tensorflow_datasets.core import registered
  from tensorflow_datasets.core import split_builder
  from tensorflow_datasets.core import splits
  from tensorflow_datasets.core import utils
  from tensorflow_datasets.core.utils import dtype_utils
  from tensorflow_datasets.core.utils import py_utils
  from tensorflow_datasets.core.utils.lazy_imports_utils import tensorflow
label_desc: Use image node_id 11 for calling a global function with example usage: builder(name, config) and returns: HuggingfaceDatasetBuilder