old_contents: # coding=utf-8
  # Copyright 2019 The TensorFlow Datasets Authors.
  #
  # Licensed under the Apache License, Version 2.0 (the "License");
  # you may not use this file except in compliance with the License.
  # You may obtain a copy of the License at
  #
  #     http://www.apache.org/licenses/LICENSE-2.0
  #
  # Unless required by applicable law or agreed to in writing, software
  # distributed under the License is distributed on an "AS IS" BASIS,
  # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  # See the License for the specific language governing permissions and
  # limitations under the License.
  
  # pylint: disable=line-too-long
  """`tensorflow_datasets` (`tfds`) defines a collection of datasets ready-to-use with TensorFlow.
  
  Each dataset is defined as a `tfds.core.DatasetBuilder`, which encapsulates
  the logic to download the dataset and construct an input pipeline, as well as
  contains the dataset documentation (version, splits, number of examples, etc.).
  
  The main library entrypoints are:
  
  * `tfds.builder`: fetch a `tfds.core.DatasetBuilder` by name
  * `tfds.load`: convenience method to construct a builder, download the data, and
    create an input pipeline, returning a `tf.data.Dataset`.
  
  Documentation:
  
  * These API docs
  * [Available datasets](https://github.com/tensorflow/datasets/tree/master/docs/catalog/overview.md)
  * [Colab tutorial](https://colab.research.google.com/github/tensorflow/datasets/blob/master/docs/overview.ipynb)
  * [Add a dataset](https://github.com/tensorflow/datasets/tree/master/docs/add_dataset.md)
  """
  from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  
  # pylint: enable=line-too-long
  # pylint: disable=g-import-not-at-top,g-bad-import-order,wrong-import-position
  
  # Ensure TensorFlow is importable and its version is sufficiently recent. This
  # needs to happen before anything else, since the imports below will try to
  # import tensorflow, too.
  from tensorflow_datasets.core import tf_compat
  tf_compat.ensure_tf_install()
  
  # Imports for registration
  # pylint: disable=g-import-not-at-top
  from tensorflow_datasets import audio
  from tensorflow_datasets import image
  from tensorflow_datasets import structured
  from tensorflow_datasets import text
  from tensorflow_datasets import translate
  from tensorflow_datasets import video
  
  
  # Public API to create and generate a dataset
  from tensorflow_datasets.public_api import *  # pylint: disable=wildcard-import
  
  # __all__ for import * as well as documentation
  from tensorflow_datasets import public_api  # pylint: disable=g-bad-import-order
  __all__ = public_api.__all__
  
  
new_contents: # coding=utf-8
  # Copyright 2019 The TensorFlow Datasets Authors.
  #
  # Licensed under the Apache License, Version 2.0 (the "License");
  # you may not use this file except in compliance with the License.
  # You may obtain a copy of the License at
  #
  #     http://www.apache.org/licenses/LICENSE-2.0
  #
  # Unless required by applicable law or agreed to in writing, software
  # distributed under the License is distributed on an "AS IS" BASIS,
  # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  # See the License for the specific language governing permissions and
  # limitations under the License.
  
  # pylint: disable=line-too-long
  """`tensorflow_datasets` (`tfds`) defines a collection of datasets ready-to-use with TensorFlow.
  
  Each dataset is defined as a `tfds.core.DatasetBuilder`, which encapsulates
  the logic to download the dataset and construct an input pipeline, as well as
  contains the dataset documentation (version, splits, number of examples, etc.).
  
  The main library entrypoints are:
  
  * `tfds.builder`: fetch a `tfds.core.DatasetBuilder` by name
  * `tfds.load`: convenience method to construct a builder, download the data, and
    create an input pipeline, returning a `tf.data.Dataset`.
  
  Documentation:
  
  * These API docs
  * [Available datasets](https://www.tensorflow.org/datasets/catalog/overview)
  * [Colab tutorial](https://colab.research.google.com/github/tensorflow/datasets/blob/master/docs/overview.ipynb)
  * [Add a dataset](https://www.tensorflow.org/datasets/add_dataset)
  """
  from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  
  # pylint: enable=line-too-long
  # pylint: disable=g-import-not-at-top,g-bad-import-order,wrong-import-position
  
  # Ensure TensorFlow is importable and its version is sufficiently recent. This
  # needs to happen before anything else, since the imports below will try to
  # import tensorflow, too.
  from tensorflow_datasets.core import tf_compat
  tf_compat.ensure_tf_install()
  
  # Imports for registration
  # pylint: disable=g-import-not-at-top
  from tensorflow_datasets import audio
  from tensorflow_datasets import image
  from tensorflow_datasets import structured
  from tensorflow_datasets import text
  from tensorflow_datasets import translate
  from tensorflow_datasets import video
  
  
  # Public API to create and generate a dataset
  from tensorflow_datasets.public_api import *  # pylint: disable=wildcard-import
  
  # __all__ for import * as well as documentation
  from tensorflow_datasets import public_api  # pylint: disable=g-bad-import-order
  __all__ = public_api.__all__
  
  
subject: Update docstring links.