korean safety benchmarks
1.0.0
該倉庫提供了以下兩篇論文的程式碼和資料集：
我們的SQuARe資料集可以在data/SQuARe/中找到。有關資料集的詳細信息，請參閱SQuARe論文。
我們也在data/SQuARe/with_raw_annotations中發布了帶有原始註釋的資料集。由於我們資料集中的問題和回答本質上是主觀的，我們相信原始註釋將有助於進一步研究註釋者之間的分歧。
注意：雖然我們的資料集包含英文翻譯，但直接使用它時需要小心，因為我們使用的敏感主題反映了韓國社會的特質。我們建議研究人員建立自己的資料集。
資料集產生的管道可以在pipeline/square中找到。
我們的KoSBi資料集可以在data/KosBi/中找到。有關數據集的詳細信息，請參閱KoSBi論文。
更新：我們透過運行額外的迭代收集了更多數據。您可以在名為data/KoSBi/kosbi_v2_{train,valid,test}.json的檔案中找到它們，其中包含原始 KoSBi 資料集。 （上下文，句子）對的總數已增加到近 68k，其中 34.2k 安全句子和 33.8k 不安全句子。
與SQuARe類似，資料集產生的管道可以在pipeline/kosbi中找到。
Korean-Safety-Benchmarks
MIT License
Copyright 2023-present NAVER Cloud Corp.
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.
@inproceedings{lee2023square,
title={SQuARe: A Large-Scale Dataset of Sensitive Questions and Acceptable Responses Created Through Human-Machine Collaboration},
author={Hwaran Lee and Seokhee Hong and Joonsuk Park and Takyoung Kim and Meeyoung Cha and Yejin Choi and Byoung Pil Kim and Gunhee Kim and Eun-Ju Lee and Yong Lim and Alice Oh and Sangchul Park and Jung-Woo Ha},
booktitle={Proceedings of the 61th Annual Meeting of the Association for Computational Linguistics},
year={2023}
}
@inproceedings{lee2023kosbi,
title={KoSBi: A Dataset for Mitigating Social Bias Risks Towards Safer Large Language Model Application},
author={Hwaran Lee and Seokhee Hong and Joonsuk Park and Takyoung Kim and Gunhee Kim and Jung-Woo Ha},
booktitle={Proceedings of the 61th Annual Meeting of the Association for Computational Linguistics: Industry Track},
year={2023}
}
如果您對我們的資料集或程式碼有任何疑問，請隨時詢問我們：Seokhee Hong ([email protected]) 或 Hwaran Lee ([email protected])
