KyrgyzMMLU

KyrgyzMMLU is a native, multiple-choice benchmark for evaluating Large Language Models in the Kyrgyz language. It contains 7,977 questions written by Kyrgyz curriculum experts, covering 9 subjects relevant to the national curriculum and public knowledge.

🏔️ Part of the KyrgyzLLM-Bench

This dataset is a core component of the KyrgyzLLM-Bench, a comprehensive suite for evaluating LLMs in Kyrgyz.

• Main Paper: Bridging the Gap in Less-Resourced Languages: Building a Benchmark for Kyrgyz Language Models
• Hugging Face Hub: https://huggingface.co/TTimur
• GitHub Project: [https://github.com/golden-ratio/kyrgyzLLM_bench]

📋 Dataset Description

This benchmark is designed to evaluate deep knowledge across a wide range of domains.

Subjects Covered:

• Math: 1,169
• Physics: 1,228
• Geography: 640
• Biology: 1,550
• Kyrgyz Language: 360
• Kyrgyz Literature: 1,169
• Kyrgyz History: 440
• Medicine: 216
• Chemistry: 1,205

📜 Citation

If you find this dataset useful in your research, please cite the main project paper:

@article{KyrgyzLLM-Bench,
  title={Bridging the Gap in Less-Resourced Languages: Building a Benchmark for Kyrgyz Language Models},
  author={Timur Turatali, Aida Turdubaeva, Islam Zhenishbekov, Zhoomart Suranbaev, Anton Alekseev, Rustem Izmailov},
  year={2025},
  url={[https://huggingface.co/datasets/TTimur/kyrgyzMMLU]}
}