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 4.9.8.dev202505100044
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-4.9.8.dev202505100044.tar.gz | 3.9 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| tfds_nightly-4.9.8.dev202505100044-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 9.3 MB
Release files / tfds_nightly-4.9.8.dev202505100044.tar.gz
| Download URL | tfds_nightly-4.9.8.dev202505100044.tar.gz |
|---|---|
| Size | 3.9 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
7d7aea11048c6b5eec2e501556cf0de848c73019b0fcc03adae53f0a0494d854
|
|
BLAKE2b-256 checksum How to use checksums |
3b9dba50171da4d44780c26bc2c4b47436075ae83d2e89349341fb80acd459d8
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.11.12
|
Release files / tfds_nightly-4.9.8.dev202505100044-py3-none-any.whl
| Download URL | tfds_nightly-4.9.8.dev202505100044-py3-none-any.whl |
|---|---|
| Size | 5.3 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
6111cbcbc705d6c459d041022519b21198d1f2f72558565e3b82743c87bca21e
|
|
BLAKE2b-256 checksum How to use checksums |
36e35936db63b2f82688568023ec89f8c2de278eef6e6323589acecbc3b3c188
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.11.12
|
