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.
8 maintainers
Release files for tfds-nightly 4.6.0.dev202209090045
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| tfds-nightly-4.6.0.dev202209090045.tar.gz | 3.7 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| tfds_nightly-4.6.0.dev202209090045-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 8.4 MB
Release files / tfds-nightly-4.6.0.dev202209090045.tar.gz
| Download URL | tfds-nightly-4.6.0.dev202209090045.tar.gz |
|---|---|
| Size | 3.7 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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twine/4.0.1 CPython/3.7.13
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Release files / tfds_nightly-4.6.0.dev202209090045-py3-none-any.whl
| Download URL | tfds_nightly-4.6.0.dev202209090045-py3-none-any.whl |
|---|---|
| Size | 4.7 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/4.0.1 CPython/3.7.13
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