Update TFDS to 4.5.0

This is the last version of TFDS supporting 3.6. Future version will use 3.7

* Better split API:
  * Splits can be selected using shards: `split='train[3shard]'`
  * Underscore supported in numbers for better readability: `split='train[:500_000]'`
  * Select the union of all splits with `split='all'`
  * [`tfds.even_splits`](https://www.tensorflow.org/datasets/splits#tfdseven_splits_multi-host_training) is more precise and flexible:
     * Return splits exactly of the same size when passed `tfds.even_splits('train', n=3, drop_remainder=True)`
     * Works on subsplits `tfds.even_splits('train[:75%]', n=3)` or even nested
     * Can be composed with other splits: `tfds.even_splits('train', n=3)[0] + 'test'`

* FeatureConnectors:
  * Faster dataset generation (using tfrecords)
  * Features now have `serialize_example` / `deserialize_example` methods to encode/decode example to proto: example_bytes = features.serialize_example(example_data)`
  * `Audio` now supports `encoding='zlib'` for better compression
  * Features specs exposed in proto for better compatibility with other languages

* Better testing:
  * Mock dataset now supports nested datasets
  * Customize the number of sub examples

* Documentation update:
  * Community datasets: https://www.tensorflow.org/datasets/community_catalog/overview
  * New [guide on TFDS and determinism](https://www.tensorflow.org/datasets/determinism)

* [RLDS](https://github.com/google-research/rlds):
  * Nested datasets features are supported
  * New datasets: Robomimic, D4RL Ant Maze, RLU Real World RL, and RLU Atari with ordered episodes

* Misc:
  * Create beam pipeline using TFDS as input with [tfds.beam.ReadFromTFDS](https://www.tensorflow.org/datasets/api_docs/python/tfds/beam/ReadFromTFDS)
  * Support setting the file formats in `tfds build --file_format=tfrecord`
  * Typing annotations exposed in `tfds.typing`
  * `tfds.ReadConfig` has a new `assert_cardinality=False` to disable cardinality
  * Add a tfds.display_progress_bar(True) for functional control
  * Support for huge number of shards (>99999)
  * DatasetInfo exposes `.release_notes`

And of course, new datasets, bug fixes,...

Thank you to all our contributors for improving TFDS!

PiperOrigin-RevId: 424105312

Author: TensorFlow Datasets Team