--- configs: - config_name: kyrgyz_rc_all data_files: - split: validation path: kyrgyz_rc_all/validation-00000-of-00001.parquet - split: test path: kyrgyz_rc_all/test-00000-of-00001.parquet - config_name: kyrgyz_rc_literature data_files: - split: validation path: kyrgyz_rc_literature/validation-00000-of-00001.parquet - split: test path: kyrgyz_rc_literature/test-00000-of-00001.parquet - config_name: kyrgyz_rc_math data_files: - split: validation path: kyrgyz_rc_math/validation-00000-of-00001.parquet - split: test path: kyrgyz_rc_math/test-00000-of-00001.parquet - config_name: kyrgyz_rc_news data_files: - split: validation path: kyrgyz_rc_news/validation-00000-of-00001.parquet - split: test path: kyrgyz_rc_news/test-00000-of-00001.parquet - config_name: kyrgyz_rc_wiki data_files: - split: validation path: kyrgyz_rc_wiki/validation-00000-of-00001.parquet - split: test path: kyrgyz_rc_wiki/test-00000-of-00001.parquet tags: - kyrgyz - llm-benchmark - evaluation - reading-comprehension - kyrgyzllm-bench language: - ky --- # KyrgyzRC (Kyrgyz Reading Comprehension) **KyrgyzRC** is a native, multiple-choice reading comprehension benchmark for the Kyrgyz language. It contains **400 questions** designed to test factual understanding, inference, and reasoning. ## 🏔️ 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](https://ieeexplore.ieee.org/document/11206960) * **Hugging Face Hub:** [https://huggingface.co/TTimur](https://huggingface.co/TTimur) * **GitHub Project:** [https://github.com/golden-ratio/kyrgyzLLM_bench](https://github.com/golden-ratio/kyrgyzLLM_bench) ## 📋 Dataset Description This benchmark evaluates a model's ability to understand and reason about text passages. Each question has 4 options, with 1 correct answer. * **Sources:** Passages are sourced from Kyrgyz Wikipedia, national news articles, literature, and school-style math word problems. * **Skills Evaluated:** Factual understanding, inference, vocabulary-in-context, and multi-sentence reasoning. ## 📜 Citation If you find this dataset useful in your research, please cite the main project paper: ```bibtex @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/kyrgyzRC]} }