AraDiCE-BoolQ

# 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 BoolQ split of the data.

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- **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（Large Language Model）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的方言与文化适配能力。该数据集由各类基准测试集的后编辑版本构成，专为适配阿拉伯语相关的文化与方言验证场景精心整理。本仓库中我们发布了该数据集的布尔问答（BoolQ）拆分子集。

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to do:
- **licenses_by-nc-sa_4.0_legalcode.txt** 许可证信息文件。
- **README.md** 本说明文件。 -->

## 评估
我们采用了[lm-harness](https://github.com/EleutherAI/lm-evaluation-harness)评估框架开展基准测试工作。相关内容即将发布，敬请期待！

## 许可
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
相关论文请点击<a href="https://arxiv.org/pdf/2409.11404" target="_blank" style="margin-right: 15px; margin-left: 10px">此处</a>查看。

@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},
}