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.dev202502090044

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.dev202502090044
File Size Uploaded Provenance Actions
tfds_nightly-4.9.7.dev202502090044.tar.gz 3.9 MB Without provenance Details for tfds_nightly-4.9.7.dev202502090044.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for tfds-nightly 4.9.7.dev202502090044
File Interpreter ABI Platform Actions
tfds_nightly-4.9.7.dev202502090044-py3-none-any.whl Python 3 none any Details for tfds_nightly-4.9.7.dev202502090044-py3-none-any.whl

Total release size: 9.3 MB

Release files / tfds_nightly-4.9.7.dev202502090044.tar.gz

Download URL tfds_nightly-4.9.7.dev202502090044.tar.gz
Size 3.9 MB
Tags Source
SHA-256 checksum
How to use checksums
023acea97ba53f46ae4a1351fa829b83143db674d344b1a4d47ae9295163f942
BLAKE2b-256 checksum
How to use checksums
acc5fa2d51d467cd729e1aa37cb7f51e9ddd39c7e443793b61aad228bc6b98d3
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.11.11

Release files / tfds_nightly-4.9.7.dev202502090044-py3-none-any.whl

Download URL tfds_nightly-4.9.7.dev202502090044-py3-none-any.whl
Size 5.3 MB
Tags Python 3
SHA-256 checksum
How to use checksums
0a12fa78bbd31e7666599c9129e3b0612b7bd1841f1502893b153c3ff7abbd41
BLAKE2b-256 checksum
How to use checksums
e55ffecf2223f666f21b61be4b8d46d0ac5209cc8880fed29307d1bb4e0a3226
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.11.11

Security for tfds-nightly 4.9.7.dev202502090044

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