ua-datasets


Nameua-datasets JSON
Version 0.1.2 PyPI version JSON
download
home_pagehttps://github.com/fido-ai/ua-datasets
SummaryA collection of ukrainian language datasets
upload_time2024-07-25 09:29:28
maintainerNone
docs_urlNone
authorFIdo AI
requires_python>=3.7.0
licenseMIT License Copyright (c) 2021 Bogdan Ivanyuk-Skulskiy, Anton Zaliznyi, Oleksand Reshetar, Oleksiy Protsyk, Bohdan Romanchuk, Vladyslav Shpihanovych Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
keywords ua-datasets
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            
<p align="center">
  <img src="https://github.com/fido-ai/ua-datasets/blob/main/imgs/NaUKMA.png" width="350" title="hover text" alt="NaUKMA FIdo Logo">
</p>

<h1 align="center">
    ua_datasets
</h1>

<p align="center">
    <a href="https://img.shields.io/badge/Version-0.0.2-orange.svg"><img src="https://img.shields.io/badge/Version-0.1.1-green.svg" alt="Version"/></a>
    <a href="https://img.shields.io/badge/License-Apache%202.0-blue.svg"><img src="https://img.shields.io/badge/License-MIT-blue.svg" alt="License"/></a>
</p>
<p align="center">
    <a href="https://www.repostatus.org/badges/0.1.0/active.svg"><img src="https://www.repostatus.org/badges/0.1.0/active.svg" alt="Repo Status"/></a>
</p>

[__UA-datasets__](https://fido-ai.github.io/ua-datasets/) is a collection of Ukrainian language datasets. Our aim is to build a benchmark for research related to 
natural language processing in Ukrainian.

This library is provided by FIdo.ai (machine learning research division of the non-profit student's organization
[FIdo](https://www.facebook.com/fido.naukma/), National University of Kyiv-Mohyla Academy) for research purposes.

## Installation
The library can be installed from PyPi in your virtual environment (e.g. venv, conda env)
```python
pip install ua_datasets
```

## Latest Updates

05.07.22 - Added HuggingFace API for Q&A (UA-SQuAD) and Text Classification (UA-News) datasets

## Available Datasets
- Question Answering (UA-SQuAD)
- Text Classification (UA-News)
- Token Classification (Mova Institute Part of Speech)


## Contribution
In case you are willing to contribute (update any part of the library, add your dataset) do not hesitate to connect through [GitHub Issue](https://github.com/fido-ai/ua-datasets/issues/new/choose). Thanks in advance for your contribution! 
Let's make the Ukrainian language even greater!

## Citation
```bibtex
@software{ua_datasets_2021,
  author = {Ivanyuk-Skulskiy, Bogdan and Zaliznyi, Anton and Reshetar, Oleksand and Protsyk, Oleksiy and Romanchuk, Bohdan and Shpihanovych, Vladyslav},
  month = oct,
  title = {ua_datasets: a collection of Ukrainian language datasets},
  url = {https://github.com/fido-ai/ua-datasets},
  version = {0.0.1},
  year = {2021}
}
```

            

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    "description": "\n<p align=\"center\">\n  <img src=\"https://github.com/fido-ai/ua-datasets/blob/main/imgs/NaUKMA.png\" width=\"350\" title=\"hover text\" alt=\"NaUKMA FIdo Logo\">\n</p>\n\n<h1 align=\"center\">\n    ua_datasets\n</h1>\n\n<p align=\"center\">\n    <a href=\"https://img.shields.io/badge/Version-0.0.2-orange.svg\"><img src=\"https://img.shields.io/badge/Version-0.1.1-green.svg\" alt=\"Version\"/></a>\n    <a href=\"https://img.shields.io/badge/License-Apache%202.0-blue.svg\"><img src=\"https://img.shields.io/badge/License-MIT-blue.svg\" alt=\"License\"/></a>\n</p>\n<p align=\"center\">\n    <a href=\"https://www.repostatus.org/badges/0.1.0/active.svg\"><img src=\"https://www.repostatus.org/badges/0.1.0/active.svg\" alt=\"Repo Status\"/></a>\n</p>\n\n[__UA-datasets__](https://fido-ai.github.io/ua-datasets/) is a collection of Ukrainian language datasets. Our aim is to build a benchmark for research related to \nnatural language processing in Ukrainian.\n\nThis library is provided by FIdo.ai (machine learning research division of the non-profit student's organization\n[FIdo](https://www.facebook.com/fido.naukma/), National University of Kyiv-Mohyla Academy) for research purposes.\n\n## Installation\nThe library can be installed from PyPi in your virtual environment (e.g. venv, conda env)\n```python\npip install ua_datasets\n```\n\n## Latest Updates\n\n05.07.22 - Added HuggingFace API for Q&A (UA-SQuAD) and Text Classification (UA-News) datasets\n\n## Available Datasets\n- Question Answering (UA-SQuAD)\n- Text Classification (UA-News)\n- Token Classification (Mova Institute Part of Speech)\n\n\n## Contribution\nIn case you are willing to contribute (update any part of the library, add your dataset) do not hesitate to connect through [GitHub Issue](https://github.com/fido-ai/ua-datasets/issues/new/choose). Thanks in advance for your contribution! \nLet's make the Ukrainian language even greater!\n\n## Citation\n```bibtex\n@software{ua_datasets_2021,\n  author = {Ivanyuk-Skulskiy, Bogdan and Zaliznyi, Anton and Reshetar, Oleksand and Protsyk, Oleksiy and Romanchuk, Bohdan and Shpihanovych, Vladyslav},\n  month = oct,\n  title = {ua_datasets: a collection of Ukrainian language datasets},\n  url = {https://github.com/fido-ai/ua-datasets},\n  version = {0.0.1},\n  year = {2021}\n}\n```\n",
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