# PsiZ Datasets
---
**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.
Raw data
{
"_id": null,
"home_page": "https://github.com/psiz-org/psiz-datasets",
"name": "psiz-datasets",
"maintainer": "",
"docs_url": null,
"requires_python": "<3.11,>=3.9",
"maintainer_email": "",
"keywords": "psychology,cognitive science,datasets",
"author": "Brett D. Roads",
"author_email": "brett.roads@gmail.com",
"download_url": "https://files.pythonhosted.org/packages/a8/a2/684d423f444d0071725624a8bede659d529e575251add55968bbd2a1db9f/psiz_datasets-0.1.2.tar.gz",
"platform": null,
"description": "\n\n# PsiZ Datasets\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",
"bugtrack_url": null,
"license": "Apache Licence 2.0",
"summary": "Tools for managing and using PsiZ datasets.",
"version": "0.1.2",
"split_keywords": [
"psychology",
"cognitive science",
"datasets"
],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "2651775cb465b799cc972c3447b0ed9b67f8d25444703ac820b06a7ef2fd88aa",
"md5": "139b87cdf13512eca831a6338c9abb66",
"sha256": "7907b92efeaba9ba5280de8341e9c1c9560c8acb8a1cd6bffec15ade37f6616d"
},
"downloads": -1,
"filename": "psiz_datasets-0.1.2-py3-none-any.whl",
"has_sig": false,
"md5_digest": "139b87cdf13512eca831a6338c9abb66",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": "<3.11,>=3.9",
"size": 68904,
"upload_time": "2023-01-29T23:20:56",
"upload_time_iso_8601": "2023-01-29T23:20:56.077828Z",
"url": "https://files.pythonhosted.org/packages/26/51/775cb465b799cc972c3447b0ed9b67f8d25444703ac820b06a7ef2fd88aa/psiz_datasets-0.1.2-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "a8a2684d423f444d0071725624a8bede659d529e575251add55968bbd2a1db9f",
"md5": "66897377836b19e93a792488535316fb",
"sha256": "690d9a948829c21f21f9c475030c3d552b943d1d14b74ebfe38f4be2344683e4"
},
"downloads": -1,
"filename": "psiz_datasets-0.1.2.tar.gz",
"has_sig": false,
"md5_digest": "66897377836b19e93a792488535316fb",
"packagetype": "sdist",
"python_version": "source",
"requires_python": "<3.11,>=3.9",
"size": 65756,
"upload_time": "2023-01-29T23:20:57",
"upload_time_iso_8601": "2023-01-29T23:20:57.572089Z",
"url": "https://files.pythonhosted.org/packages/a8/a2/684d423f444d0071725624a8bede659d529e575251add55968bbd2a1db9f/psiz_datasets-0.1.2.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2023-01-29 23:20:57",
"github": true,
"gitlab": false,
"bitbucket": false,
"github_user": "psiz-org",
"github_project": "psiz-datasets",
"travis_ci": false,
"coveralls": false,
"github_actions": true,
"lcname": "psiz-datasets"
}
JSON
