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.dev202411180045

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.dev202411180045
File Size Uploaded Provenance Actions
tfds-nightly-4.9.7.dev202411180045.tar.gz 3.9 MB Without provenance Details for tfds-nightly-4.9.7.dev202411180045.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for tfds-nightly 4.9.7.dev202411180045
File Interpreter ABI Platform Actions
tfds_nightly-4.9.7.dev202411180045-py3-none-any.whl Python 3 none any Details for tfds_nightly-4.9.7.dev202411180045-py3-none-any.whl

Total release size: 9.2 MB

Release files / tfds-nightly-4.9.7.dev202411180045.tar.gz

Download URL tfds-nightly-4.9.7.dev202411180045.tar.gz
Size 3.9 MB
Tags Source
SHA-256 checksum
How to use checksums
e416e59b11a586def6fdd5af879ede1504c0931cbec2e4539f0494dc1da21382
BLAKE2b-256 checksum
How to use checksums
c302e1c762ab1e0cfc157ac86cc798a77344c0951e337073351fc4b8d939a31e
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-4.9.7.dev202411180045-py3-none-any.whl

Download URL tfds_nightly-4.9.7.dev202411180045-py3-none-any.whl
Size 5.3 MB
Tags Python 3
SHA-256 checksum
How to use checksums
3cd102dafd4bc8ae4eb5f73c1479534e5331f375b438a78e3fff5e36635916ba
BLAKE2b-256 checksum
How to use checksums
fd72c7844e906c586d158284c35629eddb55cdda8acae790985a36553a492370
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 4.9.7.dev202411180045

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