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--- |
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tags: |
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- kyrgyz |
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- llm-benchmark |
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- evaluation |
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- reading-comprehension |
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- boolq |
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- translated |
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- kyrgyzllm-bench |
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language: |
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- ky |
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--- |
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# BoolQ (Kyrgyz) |
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This dataset is the Kyrgyz-translated version of the **BoolQ** benchmark, a reading comprehension task requiring a yes/no answer. |
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## 🏔️ Part of the KyrgyzLLM-Bench |
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This dataset is a component of the **KyrgyzLLM-Bench**, a comprehensive suite for evaluating LLMs in Kyrgyz. |
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* **Main Paper:** [Bridging the Gap in Less-Resourced Languages: Building a Benchmark for Kyrgyz Language Models](https://ieeexplore.ieee.org/document/11206960) |
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* **Hugging Face Hub:** [https://huggingface.co/TTimur](https://huggingface.co/TTimur) |
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* **GitHub Project:** [https://github.com/golden-ratio/kyrgyzLLM_bench](https://github.com/golden-ratio/kyrgyzLLM_bench) |
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## 📋 Dataset Description |
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This benchmark evaluates a model's ability to answer a question about a text passage with a simple "yes" or "no." |
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* **Original Dataset:** [BoolQ](https://huggingface.co/datasets/boolq) |
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* **Translation:** The dataset was translated using a dual-model machine translation pipeline, followed by expert manual post-editing and quality assurance checks to ensure cultural and linguistic accuracy. |
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## 📜 Citation |
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If you find this dataset useful in your research, please cite the main project paper: |
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```bibtex |
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@article{KyrgyzLLM-Bench, |
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title={Bridging the Gap in Less-Resourced Languages: Building a Benchmark for Kyrgyz Language Models}, |
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author={Timur Turatali, Aida Turdubaeva, Islam Zhenishbekov, Zhoomart Suranbaev, Anton Alekseev, Rustem Izmailov}, |
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year={2025}, |
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url={https://huggingface.co/datasets/TTimur/boolq_kg} |
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} |
