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 4.9.5.dev202406010044
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-4.9.5.dev202406010044.tar.gz | 3.7 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| tfds_nightly-4.9.5.dev202406010044-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 8.9 MB
Release files / tfds-nightly-4.9.5.dev202406010044.tar.gz
| Download URL | tfds-nightly-4.9.5.dev202406010044.tar.gz |
|---|---|
| Size | 3.7 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
1aaa40231cde1092a252330bd7223be0cf387624dbea45d1dcf27242136fe99d
|
|
BLAKE2b-256 checksum How to use checksums |
ad49d09fa19c20bf4f3d3307a772c0fdca7f5a01e60158a17f78e40c9288254b
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.0 CPython/3.10.14
|
Release files / tfds_nightly-4.9.5.dev202406010044-py3-none-any.whl
| Download URL | tfds_nightly-4.9.5.dev202406010044-py3-none-any.whl |
|---|---|
| Size | 5.1 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
515cd6b0dcdb417b9c914d20c0ddc0bc2dc9b91370a241b78dc0fabdb5b9aac5
|
|
BLAKE2b-256 checksum How to use checksums |
575260d3ce1119408198666d49efc094f47e4d75b7dcc16c3dfd96992db1ca8e
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.0 CPython/3.10.14
|
