| license: cc-by-4.0 | |
| pretty_name: MSQA | |
| task_categories: | |
| - question-answering | |
| language: | |
| - en | |
| - zh | |
| - pt | |
| - th | |
| - ru | |
| - ko | |
| - fr | |
| - ja | |
| - ms | |
| - id | |
| - es | |
| size_categories: | |
| - 1K<n<10K | |
| # MSQA — Coming Soon 🚧 | |
| **MSQA (Multilingual and Multicultural SimpleQA)** is a benchmark of 1,064 | |
| natively sourced questions spanning 11 language groups and 5 cultural dimensions. | |
| **The dataset is not yet publicly available — it will be released here soon.** | |
| - 📄 Paper: <https://arxiv.org/abs/2607.00724> | |
| - 💻 Code: <https://github.com/huayuankou333/MSQA> | |
| ## Citation | |
| ```bibtex | |
| @misc{chen2026msqanativelysourcedmultilingual, | |
| title={MSQA: A Natively Sourced Multilingual and Multicultural SimpleQA Benchmark}, | |
| author={Xianru Chen and Yukai Huang and Mingxiang Chen and Xinping Lei and Fangbing Deng and Jin Chen and Ge Zhang and Wenhao Huang and Jiaheng Liu}, | |
| year={2026}, | |
| eprint={2607.00724}, | |
| archivePrefix={arXiv}, | |
| primaryClass={cs.CL}, | |
| url={https://arxiv.org/abs/2607.00724}, | |
| } | |
| ``` | |