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 4.9.6.dev202410050044

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 4.9.6.dev202410050044
File Size Uploaded Provenance Actions
tfds-nightly-4.9.6.dev202410050044.tar.gz 3.9 MB Without provenance Details for tfds-nightly-4.9.6.dev202410050044.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for tfds-nightly 4.9.6.dev202410050044
File Interpreter ABI Platform Actions
tfds_nightly-4.9.6.dev202410050044-py3-none-any.whl Python 3 none any Details for tfds_nightly-4.9.6.dev202410050044-py3-none-any.whl

Total release size: 9.2 MB

Release files / tfds-nightly-4.9.6.dev202410050044.tar.gz

Download URL tfds-nightly-4.9.6.dev202410050044.tar.gz
Size 3.9 MB
Tags Source
SHA-256 checksum
How to use checksums
f791f44fa210266ca12bb0ba51f02c42fe13d505ce21ca1c41b9ccf13a2d7c59
BLAKE2b-256 checksum
How to use checksums
dd6b9404cfbdc168c06c4086ba32d7db7c4064618a94e7a74c6eea9024a367de
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/5.1.1 CPython/3.10.15

Release files / tfds_nightly-4.9.6.dev202410050044-py3-none-any.whl

Download URL tfds_nightly-4.9.6.dev202410050044-py3-none-any.whl
Size 5.3 MB
Tags Python 3
SHA-256 checksum
How to use checksums
52d19cbb9aac5bed4d3f31d7b6784e6c379ecf4f926db0922df1db4e0770b3e6
BLAKE2b-256 checksum
How to use checksums
d8347676be9c2cf79e627f390c56d8e6989c65d015f16e6427b824b44bbc06ff
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/5.1.1 CPython/3.10.15

Security for tfds-nightly 4.9.6.dev202410050044

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