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
Metadata
8 maintainers
Release files for tfds-nightly 4.5.2.dev202204150045
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| tfds-nightly-4.5.2.dev202204150045.tar.gz | 3.3 MB | Without provenance | Details for tfds-nightly-4.5.2.dev202204150045.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| tfds_nightly-4.5.2.dev202204150045-py3-none-any.whl | Python 3 | none | any | Details for tfds_nightly-4.5.2.dev202204150045-py3-none-any.whl |
Total release size: 7.6 MB
Release files / tfds-nightly-4.5.2.dev202204150045.tar.gz
| Download URL | tfds-nightly-4.5.2.dev202204150045.tar.gz |
|---|---|
| Size | 3.3 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
e29bf7aa7e917a9823c7dfd7250475f8c161b35d099292214ba2fe7fe49591be
|
|
BLAKE2b-256 checksum How to use checksums |
c199a5c1262816c6ec8143182209787f8a87f5f28c7113e59df04a5d06f49f35
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.0 CPython/3.7.12
|
Release files / tfds_nightly-4.5.2.dev202204150045-py3-none-any.whl
| Download URL | tfds_nightly-4.5.2.dev202204150045-py3-none-any.whl |
|---|---|
| Size | 4.3 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
e8c7ad79b46c611cc9a832767bd8767d0cc4d250d2527e1786dcdf17252f842e
|
|
BLAKE2b-256 checksum How to use checksums |
e5961e8fae571e4cb3353bfd9d25a35454ebbc103a9d66a23112d4301ceb2717
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.0 CPython/3.7.12
|
Security for tfds-nightly 4.5.2.dev202204150045
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.
