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AraDiCE-OpenBookQA

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魔搭社区2025-11-27 更新2025-06-21 收录
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https://modelscope.cn/datasets/QCRI/AraDiCE-OpenBookQA
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# 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}, }
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maas
创建时间:
2025-06-17
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