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chore(deps): bump tensorflow-datasets from 4.5.2 to 4.6.0 #76

Closed dependabot[bot] closed 2 years ago

dependabot[bot] commented 2 years ago

Bumps tensorflow-datasets from 4.5.2 to 4.6.0.

Release notes

Sourced from tensorflow-datasets's releases.

v4.6.0

Added

  • Support for community datasets on GCS.
  • [API] tfds.builder_from_directory and tfds.builder_from_directories, see https://www.tensorflow.org/datasets/external_tfrecord#directly_from_folder.
  • [API] Dash ("-") support in split names.
  • [API] file_format argument to download_and_prepare method, allowing user to specify an alternative file format to store prepared data (e.g. "riegeli").
  • [API] file_format to DatasetInfo string representation.
  • [API] Expose the return value of Beam pipelines. This allows for users to read the Beam metrics.
  • [API] Expose Feature tf_example_spec to public.
  • [API] doc kwarg on Features, to describe a feature.
  • [Documentation] Features description is shown on TFDS Catalog.
  • [Documentation] More metadata about HuggingFace datasets in TFDS catalog.
  • [Performance] Parallel load of metadata files.
  • [Testing] TFDS tests are now run using GitHub actions - misc improvements such as caching and sharding.
  • [Testing] Improvements to MockFs.
  • New datasets.

Changed

  • [API] num_shards is now optional in the shard name.

Removed

Fixed

  • Various datasets.
  • Dataset builders that are defined adhoc (e.g. in Colab).
  • Better DatasetNotFoundError messages.
  • Don't set deterministic on a global level but locally in interleave, so it only apply to interleave and not all transformations.
  • Google drive downloader.

As always, thank you to all contributors!

Changelog

Sourced from tensorflow-datasets's changelog.

[4.6.0] - 2022-06-01

Added

  • Support for community datasets on GCS.
  • [API] tfds.builder_from_directory and tfds.builder_from_directories, see https://www.tensorflow.org/datasets/external_tfrecord#directly_from_folder.
  • [API] Dash ("-") support in split names.
  • [API] file_format argument to download_and_prepare method, allowing user to specify an alternative file format to store prepared data (e.g. "riegeli").
  • [API] file_format to DatasetInfo string representation.
  • [API] Expose the return value of Beam pipelines. This allows for users to read the Beam metrics.
  • [API] Expose Feature tf_example_spec to public.
  • [API] doc kwarg on Features, to describe a feature.
  • [Documentation] Features description is shown on TFDS Catalog.
  • [Documentation] More metadata about HuggingFace datasets in TFDS catalog.
  • [Performance] Parallel load of metadata files.
  • [Testing] TFDS tests are now run using GitHub actions - misc improvements such as caching and sharding.
  • [Testing] Improvements to MockFs.
  • New datasets.

Changed

  • [API] num_shards is now optional in the shard name.

Removed

Fixed

  • Various datasets.
  • Dataset builders that are defined adhoc (e.g. in Colab).
  • Better DatasetNotFoundError messages.
  • Don't set deterministic on a global level but locally in interleave, so it only apply to interleave and not all transformations.
  • Google drive downloader.
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dependabot[bot] commented 2 years ago

Superseded by #118.