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.

Release files for tfds-nightly 4.5.2.dev202203110044

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 4.5.2.dev202203110044
File Size Uploaded
tfds-nightly-4.5.2.dev202203110044.tar.gz 3.3 MB Details

Built distribution (wheel)

Table of built distributions (wheels) for tfds-nightly 4.5.2.dev202203110044
File Interpreter ABI Platform
tfds_nightly-4.5.2.dev202203110044-py3-none-any.whl Python 3 none any Details

Total release size: 7.6 MB

Release files / tfds-nightly-4.5.2.dev202203110044.tar.gz

Download URL tfds-nightly-4.5.2.dev202203110044.tar.gz
Size 3.3 MB
Tags Source
SHA-256 checksum
How to use checksums
f8bbe8f6001b6b8acd177f8a3a71ee0e36f7db866dddc58520f23426c0233723
BLAKE2b-256 checksum
How to use checksums
de867b4593addd5920db448dd19535eddade0779006e113dad0befe5da4750cb
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.8.0 pkginfo/1.8.2 readme-renderer/33.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.63.0 importlib-metadata/4.11.2 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.7.12

Release files / tfds_nightly-4.5.2.dev202203110044-py3-none-any.whl

Download URL tfds_nightly-4.5.2.dev202203110044-py3-none-any.whl
Size 4.2 MB
Tags Python 3
SHA-256 checksum
How to use checksums
2ad663c2b853dbe41eebb6c05be88c579fa6e91bf20a2ae406b1d8a9d3b50201
BLAKE2b-256 checksum
How to use checksums
d0d7e2d99fe5d9a1023b26bdf9ebe78273c365dad85ce7933d2db4ecab9a278a
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.8.0 pkginfo/1.8.2 readme-renderer/33.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.63.0 importlib-metadata/4.11.2 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.7.12

Release history Release notifications | RSS feed

This release
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