Skip to main content
Pre-release

This release is a pre-release and may not be stable for production use.

tensorflow/datasets is a library of public datasets ready to use with TensorFlow. Each dataset definition contains the logic necessary to download and prepare the dataset, as well as to read it into a model using the tf.data.Dataset API.

Usage outside of TensorFlow is also supported.

See the README on GitHub for further documentation.

Metadata

Release files for tfds-nightly 4.5.2.dev202203060044

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for tfds-nightly 4.5.2.dev202203060044
File Size Uploaded Provenance Actions
tfds-nightly-4.5.2.dev202203060044.tar.gz 3.3 MB Without provenance Details for tfds-nightly-4.5.2.dev202203060044.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for tfds-nightly 4.5.2.dev202203060044
File Interpreter ABI Platform Actions
tfds_nightly-4.5.2.dev202203060044-py3-none-any.whl Python 3 none any Details for tfds_nightly-4.5.2.dev202203060044-py3-none-any.whl

Total release size: 7.5 MB

Release files / tfds-nightly-4.5.2.dev202203060044.tar.gz

Download URL tfds-nightly-4.5.2.dev202203060044.tar.gz
Size 3.3 MB
Tags Source
SHA-256 checksum
How to use checksums
76cc8345ee38f65d8536e2b331386912c420bc672fe26cd508df752e50028e5a
BLAKE2b-256 checksum
How to use checksums
861b0133c4d08c2f11f1c6ce79049f5e1d513b697f9b2db6c4fbc0e9c4cffc2b
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.8.0 pkginfo/1.8.2 readme-renderer/33.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.63.0 importlib-metadata/4.11.2 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.7.12

Release files / tfds_nightly-4.5.2.dev202203060044-py3-none-any.whl

Download URL tfds_nightly-4.5.2.dev202203060044-py3-none-any.whl
Size 4.2 MB
Tags Python 3
SHA-256 checksum
How to use checksums
49cb7839a7fff3e12b918d9af9f4509cd25d11612f58cba0221a0d2816d85b90
BLAKE2b-256 checksum
How to use checksums
dc55d836fb4dbb42e2f619486acb2a6128635b6559939282a0957b6fed175bf5
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.8.0 pkginfo/1.8.2 readme-renderer/33.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.63.0 importlib-metadata/4.11.2 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.7.12

Security for tfds-nightly 4.5.2.dev202203060044

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Release history Release notifications | RSS feed

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page