caro-holt/MultiQ
收藏资源简介：
--- license: cc-by-4.0 language: - tl - sm - mk - gu - fi - mn - bm - ta - ur - hy - nl - tk - en - bg - gd - pt - ko - ga - eu - sv - bs - co - fr - gn - ro - it - dv - ku - ak - eo - zu - id - te - sl - lv - pa - ru - si - ee - yi - ny - az - sw - hi - mt - sr - hr - ka - ug - tt - lg - kn - fy - kk - ca - lb - jv - et - la - tr - ps - km - zh - uk - as - he - yo - sq - da - gl - vi - ay - is - ln - mr - st - xh - cs - ky - ml - ht - mi - so - uz - el - ti - be - cy - am - ig - or - fa - ms - su - de - lo - ha - ts - om - ar - my - es - qu - 'no' - th - sa - mg - pl - sd - sk - bn - rw - af - ne - lt - tg - ja - sn - hu size_categories: - 10K<n<100K task_categories: - question-answering --- # Dataset Card for MultiQ This is the dataset corresponding to the paper "Evaluating the Elementary Multilingual Capabilities of Large Language Models with MultiQ". It is a silver standard benchmark that can be used to evaluate the basic multilingual capabilities of LLMs. It contains 200 open ended questions automatically translated into 137 typologically diverse languages. - **Curated by:** Carolin Holtermann, Paul Röttger, Timm Dill, Anne Lauscher - **Language(s) (NLP):** 137 diverse languages described in detail in our paper - **License:** CC-BY-4.0 License ### Dataset Sources - **Repository:** [Github](https://github.com/paul-rottger/multiq) - **Paper:** TBD
数据集概述
基本信息
- 数据集名称： MultiQ
- 相关论文： "Evaluating the Elementary Multilingual Capabilities of Large Language Models with MultiQ"
- 数据集用途： 用于评估大型语言模型的基本多语言能力
数据集内容
- 问题数量： 200个开放式问题
- 语言种类： 137种不同类型的语言
数据集详情
- 语言列表： 137种语言，详细描述见论文
- 许可证： CC-BY-4.0
数据集来源
- 代码仓库： Github
- 相关论文： 待定
