# PsiZ Datasets
[](https://badge.fury.io/py/psiz-datasets)
[](https://badge.fury.io/py/psiz-datasets)
[](https://codecov.io/github/psiz-org/psiz-datasets)
[](https://github.com/psf/black)
---
**WARNING:** This package is pre-release and the API is not stable. All APIs are subject to change and all releases are alpha.
---
## Purpose
Provide pre-formatted TensorFlow Datasets for hassle-free model ingestion.
## Resources
* Official Psiz Documentation: [psiz.readthedocs.io/en/latest](https://psiz.readthedocs.io/en/latest/)
* Raw JSON-formatted data files used to create TensorFlow Datasets: [osf.io psiz-datasets](https://osf.io/cn2s3/)
## Installation
There are two different ways to install: PyPI or git.
### Using PyPI
```
$ pip install psiz-datasets
```
### Using git
```
# Clone the repository from GitHub to your local machine.
$ git clone https://github.com/psiz-org/psiz-datasets.git
# Use `pip` to install the cloned repository.
$ pip install /local/path/to/psiz-datasets
```
## Contribution Guidelines
If you would like to contribute please see the [contributing guidelines](CONTRIBUTING.md).
This project uses a [Code of Conduct](CODE.md) adapted from the [Contributor Covenant](https://www.contributor-covenant.org/)
version 2.0, available at <https://www.contributor-covenant.org/version/2/0/code_of_conduct.html>.
## Licence
This project is licensed under the Apache Licence 2.0 - see LICENSE file for details.
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"description": "\n\n# PsiZ Datasets\n[](https://badge.fury.io/py/psiz-datasets)\n[](https://badge.fury.io/py/psiz-datasets)\n[](https://codecov.io/github/psiz-org/psiz-datasets)\n[](https://github.com/psf/black)\n\n---\n**WARNING:** This package is pre-release and the API is not stable. All APIs are subject to change and all releases are alpha.\n\n---\n\n## Purpose\nProvide pre-formatted TensorFlow Datasets for hassle-free model ingestion.\n\n## Resources\n* Official Psiz Documentation: [psiz.readthedocs.io/en/latest](https://psiz.readthedocs.io/en/latest/)\n* Raw JSON-formatted data files used to create TensorFlow Datasets: [osf.io psiz-datasets](https://osf.io/cn2s3/)\n\n## Installation\nThere are two different ways to install: PyPI or git.\n\n### Using PyPI\n```\n$ pip install psiz-datasets\n```\n\n### Using git\n```\n# Clone the repository from GitHub to your local machine.\n$ git clone https://github.com/psiz-org/psiz-datasets.git\n# Use `pip` to install the cloned repository.\n$ pip install /local/path/to/psiz-datasets\n```\n\n## Contribution Guidelines\nIf you would like to contribute please see the [contributing guidelines](CONTRIBUTING.md).\n\nThis project uses a [Code of Conduct](CODE.md) adapted from the [Contributor Covenant](https://www.contributor-covenant.org/)\nversion 2.0, available at <https://www.contributor-covenant.org/version/2/0/code_of_conduct.html>.\n\n## Licence\nThis project is licensed under the Apache Licence 2.0 - see LICENSE file for details.\n",
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