AraDiCE-OpenBookQA
收藏魔搭社区2025-11-27 更新2025-06-21 收录
下载链接:
https://modelscope.cn/datasets/QCRI/AraDiCE-OpenBookQA
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资源简介:
# AraDiCE: Benchmarks for Dialectal and Cultural Capabilities in LLMs
## Overview
The **AraDiCE** dataset is designed to evaluate dialectal and cultural capabilities in large language models (LLMs). The dataset consists of post-edited versions of various benchmark datasets, curated for validation in cultural and dialectal contexts relevant to Arabic. In this repository, we present the OpenBookQA split of the data.
<!-- ## File/Directory
TO DO:
- **licenses_by-nc-sa_4.0_legalcode.txt** License information.
- **README.md** This file. -->
## Evaluation
We have used [lm-harness](https://github.com/EleutherAI/lm-evaluation-harness) eval framework to for the benchmarking. We will soon release them. Stay tuned!!
## License
The dataset is distributed under the **Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0)**. The full license text can be found in the accompanying `licenses_by-nc-sa_4.0_legalcode.txt` file.
## Citation
Please find the paper <a href="https://arxiv.org/pdf/2409.11404" target="_blank" style="margin-right: 15px; margin-left: 10px">here.</a>
```
@article{mousi2024aradicebenchmarksdialectalcultural,
title={{AraDiCE}: Benchmarks for Dialectal and Cultural Capabilities in LLMs},
author={Basel Mousi and Nadir Durrani and Fatema Ahmad and Md. Arid Hasan and Maram Hasanain and Tameem Kabbani and Fahim Dalvi and Shammur Absar Chowdhury and Firoj Alam},
year={2024},
publisher={arXiv:2409.11404},
url={https://arxiv.org/abs/2409.11404},
}
```
# AraDiCE:面向大语言模型方言与文化能力的基准测试集
## 概述
**AraDiCE** 数据集旨在评估大语言模型(Large Language Model,LLM)的方言与文化理解能力。该数据集由多种基准测试数据集的后编辑版本构成,专为阿拉伯语相关的文化与方言场景验证任务精心整理。本仓库中我们将展示该数据集的OpenBookQA拆分子集。
<!-- ## 文件/目录
待办事项:
- **licenses_by-nc-sa_4.0_legalcode.txt** 许可证信息。
- **README.md** 本说明文件。 -->
## 评测
我们已采用[lm-harness](https://github.com/EleutherAI/lm-evaluation-harness)评测框架开展基准测试相关工作。相关完整内容即将发布,敬请期待!
## 许可协议
本数据集采用**知识共享署名-非商业性使用-相同方式共享4.0国际许可协议(Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License,CC BY-NC-SA 4.0)**进行分发。完整许可文本可在随附的`licenses_by-nc-sa_4.0_legalcode.txt`文件中查阅。
## 引用
相关论文可<a href="https://arxiv.org/pdf/2409.11404" target="_blank" style="margin-right: 15px; margin-left: 10px">在此处查阅</a>。
@article{mousi2024aradicebenchmarksdialectalcultural,
title={{AraDiCE}: Benchmarks for Dialectal and Cultural Capabilities in LLMs},
author={Basel Mousi and Nadir Durrani and Fatema Ahmad and Md. Arid Hasan and Maram Hasanain and Tameem Kabbani and Fahim Dalvi and Shammur Absar Chowdhury and Firoj Alam},
year={2024},
publisher={arXiv:2409.11404},
url={https://arxiv.org/abs/2409.11404},
}
提供机构:
maas
创建时间:
2025-06-17



