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.dev202502050044

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.dev202502050044
File Size Uploaded Provenance Actions
tfds_nightly-4.9.7.dev202502050044.tar.gz 3.9 MB Without provenance Details for tfds_nightly-4.9.7.dev202502050044.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for tfds-nightly 4.9.7.dev202502050044
File Interpreter ABI Platform Actions
tfds_nightly-4.9.7.dev202502050044-py3-none-any.whl Python 3 none any Details for tfds_nightly-4.9.7.dev202502050044-py3-none-any.whl

Total release size: 9.3 MB

Release files / tfds_nightly-4.9.7.dev202502050044.tar.gz

Download URL tfds_nightly-4.9.7.dev202502050044.tar.gz
Size 3.9 MB
Tags Source
SHA-256 checksum
How to use checksums
3b71d954c0591063a57bbde910316d7f69881402b623af7cb9c83f41545cd383
BLAKE2b-256 checksum
How to use checksums
3d416f9e2933d5014a95789fd239244ee9584064e0ae82bbcc7159f032e6e469
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.dev202502050044-py3-none-any.whl

Download URL tfds_nightly-4.9.7.dev202502050044-py3-none-any.whl
Size 5.3 MB
Tags Python 3
SHA-256 checksum
How to use checksums
a9c36ac259db159feeb3180f378c5e5a726fd6c6cc392f3824b2d3b6030d2e86
BLAKE2b-256 checksum
How to use checksums
6f45999eb5bccaff0839948b2567f39ad55913c411cdf7467b4758bcb5cc857b
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.dev202502050044

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