
# 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.
Raw data
{
"_id": null,
"home_page": "https://github.com/psiz-org/psiz-datasets",
"name": "psiz-datasets",
"maintainer": null,
"docs_url": null,
"requires_python": "<3.12,>=3.9",
"maintainer_email": null,
"keywords": "psychology, cognitive science, datasets",
"author": "Brett D. Roads",
"author_email": "brett.roads@gmail.com",
"download_url": "https://files.pythonhosted.org/packages/46/1e/46769583ba4289fd488e7b458834893d3a0a8a2f630ae9e565db8204522f/psiz_datasets-0.2.1.tar.gz",
"platform": null,
"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",
"bugtrack_url": null,
"license": "Apache Licence 2.0",
"summary": "Tools for managing and using PsiZ Datasets.",
"version": "0.2.1",
"project_urls": {
"Documentation": "https://psiz.readthedocs.io/en/latest/",
"Homepage": "https://github.com/psiz-org/psiz-datasets",
"Source": "https://github.com/psiz-org/psiz-datasets",
"Tracker": "https://github.com/psiz-org/psiz-datasets/issues"
},
"split_keywords": [
"psychology",
" cognitive science",
" datasets"
],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "25e461585d005959c0dac0e6cc521314299bf2380a9b6af72fbb43be48ffcec9",
"md5": "6670fd63459c4d90db573b8e696120f9",
"sha256": "1549272be720bf33fc584019b766e945bc8de2ab7ea02a4365b6023c50ca7ced"
},
"downloads": -1,
"filename": "psiz_datasets-0.2.1-py3-none-any.whl",
"has_sig": false,
"md5_digest": "6670fd63459c4d90db573b8e696120f9",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": "<3.12,>=3.9",
"size": 69088,
"upload_time": "2024-10-30T18:10:26",
"upload_time_iso_8601": "2024-10-30T18:10:26.911905Z",
"url": "https://files.pythonhosted.org/packages/25/e4/61585d005959c0dac0e6cc521314299bf2380a9b6af72fbb43be48ffcec9/psiz_datasets-0.2.1-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "461e46769583ba4289fd488e7b458834893d3a0a8a2f630ae9e565db8204522f",
"md5": "2f8688e65769735d1de9903a7bb6ef42",
"sha256": "8e1e18c6f305b615f920c1a9affa5fca93339e7da1806796b5e0e9036a17d8b4"
},
"downloads": -1,
"filename": "psiz_datasets-0.2.1.tar.gz",
"has_sig": false,
"md5_digest": "2f8688e65769735d1de9903a7bb6ef42",
"packagetype": "sdist",
"python_version": "source",
"requires_python": "<3.12,>=3.9",
"size": 66316,
"upload_time": "2024-10-30T18:10:28",
"upload_time_iso_8601": "2024-10-30T18:10:28.581076Z",
"url": "https://files.pythonhosted.org/packages/46/1e/46769583ba4289fd488e7b458834893d3a0a8a2f630ae9e565db8204522f/psiz_datasets-0.2.1.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2024-10-30 18:10:28",
"github": true,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"github_user": "psiz-org",
"github_project": "psiz-datasets",
"travis_ci": false,
"coveralls": false,
"github_actions": true,
"lcname": "psiz-datasets"
}