AraDiCE-Culture

# 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 show the cultural split of the data
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- **licenses_by-nc-sa_4.0_legalcode.txt** License information.
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## 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：大语言模型方言与文化能力评测基准集

## 概述
**AraDiCE** 数据集旨在评测大语言模型（Large Language Model，LLM）的方言与文化能力。本数据集由经后期编辑的多款基准数据集版本组成，专为在与阿拉伯语相关的文化与方言场景中开展验证工作而精选构建。本仓库中展示了该数据集的文化划分子集。
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待完成：
- **licenses_by-nc-sa_4.0_legalcode.txt** 许可证详情。
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## 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工作，相关内容即将发布，敬请期待！

## 许可证
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（CC BY-NC-SA 4.0）** 进行分发，完整许可证文本可在随附的`licenses_by-nc-sa_4.0_legalcode.txt`文件中查阅。

## 引用
论文详情请点击<a href="https://arxiv.org/pdf/2409.11404" target="_blank" style="margin-right: 15px; margin-left: 10px">此处</a>查阅。

@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},
}