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 4.9.7.dev202501170044

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 4.9.7.dev202501170044
File Size Uploaded Provenance Actions
tfds_nightly-4.9.7.dev202501170044.tar.gz 3.9 MB Without provenance Details for tfds_nightly-4.9.7.dev202501170044.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for tfds-nightly 4.9.7.dev202501170044
File Interpreter ABI Platform Actions
tfds_nightly-4.9.7.dev202501170044-py3-none-any.whl Python 3 none any Details for tfds_nightly-4.9.7.dev202501170044-py3-none-any.whl

Total release size: 9.3 MB

Release files / tfds_nightly-4.9.7.dev202501170044.tar.gz

Download URL tfds_nightly-4.9.7.dev202501170044.tar.gz
Size 3.9 MB
Tags Source
SHA-256 checksum
How to use checksums
1be048c280f9ffe60e0f171565cc834c6392639259c327ea5f6de6fafaaf2858
BLAKE2b-256 checksum
How to use checksums
c9f8212123124bd6ccaaa1612966cdf858e1748b6db6aec90be23c686fa9e8de
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.0.1 CPython/3.11.11

Release files / tfds_nightly-4.9.7.dev202501170044-py3-none-any.whl

Download URL tfds_nightly-4.9.7.dev202501170044-py3-none-any.whl
Size 5.3 MB
Tags Python 3
SHA-256 checksum
How to use checksums
ddefcb1d33023e4b72a740033273214a87e3b9e09394ef4e9877bf34b6ff6423
BLAKE2b-256 checksum
How to use checksums
f10b1aab545cd76f652a7d7c4beddec6e33e640aba06d81b92045988e44b217a
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.0.1 CPython/3.11.11

Security for tfds-nightly 4.9.7.dev202501170044

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