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 4.7.0.dev202212110044

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 4.7.0.dev202212110044
File Size Uploaded Provenance Actions
tfds-nightly-4.7.0.dev202212110044.tar.gz 1.0 MB Without provenance Details for tfds-nightly-4.7.0.dev202212110044.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for tfds-nightly 4.7.0.dev202212110044
File Interpreter ABI Platform Actions
tfds_nightly-4.7.0.dev202212110044-py3-none-any.whl Python 3 none any Details for tfds_nightly-4.7.0.dev202212110044-py3-none-any.whl

Total release size: 6.1 MB

Release files / tfds-nightly-4.7.0.dev202212110044.tar.gz

Download URL tfds-nightly-4.7.0.dev202212110044.tar.gz
Size 1.0 MB
Tags Source
SHA-256 checksum
How to use checksums
531bc38645de13357f78facd3cba133c45aa32c74ac5b4f85d686d592d6a988c
BLAKE2b-256 checksum
How to use checksums
37ed575a0c6e4f6ec73a83c000ad70df5b3944d0900877954dc5d976e0f652ea
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.7.15

Release files / tfds_nightly-4.7.0.dev202212110044-py3-none-any.whl

Download URL tfds_nightly-4.7.0.dev202212110044-py3-none-any.whl
Size 5.1 MB
Tags Python 3
SHA-256 checksum
How to use checksums
42c2a084e0136a8b77709d8151458917233efcd7c87af6c175fa44b45508940d
BLAKE2b-256 checksum
How to use checksums
50c0c3bd3f2e83912d52825816a884c4b544f9d527e75b6b5e6a654876cf2e60
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.7.15

Security for tfds-nightly 4.7.0.dev202212110044

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