`tfds.load('huggingface:conll2003')` failed with `AttributeError: module 'datasets' has no attribute 'logging'`

Short description
tfds.load('huggingface:conll2003') will fails with:

/usr/local/lib/python3.7/dist-packages/tensorflow_datasets/core/load.py in load(name, split, data_dir, batch_size, shuffle_files, download, as_supervised, decoders, read_config, with_info, builder_kwargs, download_and_prepare_kwargs, as_dataset_kwargs, try_gcs)
    320     builder_kwargs = {}
    321 
--> 322   dbuilder = builder(name, data_dir=data_dir, try_gcs=try_gcs, **builder_kwargs)
    323   if download:
    324     download_and_prepare_kwargs = download_and_prepare_kwargs or {}

/usr/local/lib/python3.7/dist-packages/tensorflow_datasets/core/load.py in builder(name, try_gcs, **builder_kwargs)
    149   # First check whether code exists or not
    150   try:
--> 151     cls = builder_cls(str(name))
    152   except registered.DatasetNotFoundError as e:
    153     cls = None  # Class not found

/usr/local/lib/python3.7/dist-packages/tensorflow_datasets/core/load.py in builder_cls(name)
     90       # `namespace:dataset` are loaded from the community register
     91       if visibility.DatasetType.COMMUNITY_PUBLIC.is_available():
---> 92         return community.community_register.builder_cls(ds_name)
     93       else:
     94         raise ValueError(

/usr/local/lib/python3.7/dist-packages/tensorflow_datasets/core/community/register_package.py in builder_cls(self, name)
    245 
    246     # Load the dataset from the module
--> 247     return load.builder_cls_from_module(installed_dataset.module_name)
    248 
    249   def builder(

/usr/local/lib/python3.7/dist-packages/tensorflow_datasets/core/community/load.py in builder_cls_from_module(module_name)
     44     with registered.skip_registration(),\
     45          huggingface_wrapper.mock_huggingface_import():
---> 46       importlib.import_module(module_name)
     47       # TODO(tfds): For community-installed modules, we should raise cleaner
     48       # error if there is additional missing dependency. E.g. Parsing all

/usr/lib/python3.7/importlib/__init__.py in import_module(name, package)
    125                 break
    126             level += 1
--> 127     return _bootstrap._gcd_import(name[level:], package, level)
    128 
    129 

/usr/lib/python3.7/importlib/_bootstrap.py in _gcd_import(name, package, level)

/usr/lib/python3.7/importlib/_bootstrap.py in _find_and_load(name, import_)

/usr/lib/python3.7/importlib/_bootstrap.py in _find_and_load_unlocked(name, import_)

/usr/lib/python3.7/importlib/_bootstrap.py in _load_unlocked(spec)

/usr/lib/python3.7/importlib/_bootstrap_external.py in exec_module(self, module)

/usr/lib/python3.7/importlib/_bootstrap.py in _call_with_frames_removed(f, *args, **kwds)

/root/.cache/tensorflow_datasets/modules/tfds_community/huggingface/conll2003/e29e078fa45753a86b4e437516e29eefc9d895074159c67c80f7c927f162b478/conll2003.py in <module>()
     22 
     23 
---> 24 logger = datasets.logging.get_logger(__name__)
     25 
     26 

AttributeError: module 'datasets' has no attribute 'logging'

Environment information

• Operating System: Ubuntu 18.04.5 LTS

• Python version: 3.7.12

• tensorflow-datasets/tfds-nightly version: 4.5.0

• tensorflow/tf-nightly version: 2.7.0

• Does the issue still exists with the last tfds-nightly package (pip install --upgrade tfds-nightly) ? Yes

Reproduction instructions

See this Colab: https://colab.research.google.com/drive/1ocgFGN3xRkwbt7afmjyhjRuHCZcJO5-L?usp=sharing

Start with the linked Colab reproduction and inspect tensorflow_datasets/core/community/load.py, tensorflow_datasets/core/community/register_package.py, and the conll2003.py stack-trace entry. Trace the Hugging Face datasets dependency and verify that tfds.load('huggingface:conll2003') completes without the AttributeError.