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 4.6.0.dev202209140045

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 4.6.0.dev202209140045
File Size Uploaded Provenance Actions
tfds-nightly-4.6.0.dev202209140045.tar.gz 3.7 MB Without provenance Details for tfds-nightly-4.6.0.dev202209140045.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for tfds-nightly 4.6.0.dev202209140045
File Interpreter ABI Platform Actions
tfds_nightly-4.6.0.dev202209140045-py3-none-any.whl Python 3 none any Details for tfds_nightly-4.6.0.dev202209140045-py3-none-any.whl

Total release size: 8.4 MB

Release files / tfds-nightly-4.6.0.dev202209140045.tar.gz

Download URL tfds-nightly-4.6.0.dev202209140045.tar.gz
Size 3.7 MB
Tags Source
SHA-256 checksum
How to use checksums
72138addee16d859942dbcf98fba1f70782868ccfd95a48abd4a765643c353d3
BLAKE2b-256 checksum
How to use checksums
be18d38b7f5eaceefbb12636d9e60efdc53699ea2ebf551f7de14a2744425a9c
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.7.13

Release files / tfds_nightly-4.6.0.dev202209140045-py3-none-any.whl

Download URL tfds_nightly-4.6.0.dev202209140045-py3-none-any.whl
Size 4.7 MB
Tags Python 3
SHA-256 checksum
How to use checksums
1b2c6fc20ca095f256e4c080e809a0acf9348db714fa9b84b9458494b09b70fe
BLAKE2b-256 checksum
How to use checksums
d877a1f2d406fc72888a662164f741ba956130a5fbc36201cda8a1cd284f9738
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.7.13

Security for tfds-nightly 4.6.0.dev202209140045

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