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  ---
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- configs:
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- - config_name: default
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- data_files:
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- - split: train
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- path: data/train-*
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- - split: val
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- path: data/val-*
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- dataset_info:
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- features:
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- - name: question
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- dtype: string
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- - name: answer
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- dtype: string
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- - name: passage
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- dtype: string
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- - name: question_kg
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- dtype: string
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- - name: answer_kg
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- dtype: string
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- - name: passage_kg
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- dtype: string
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- splits:
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- - name: train
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- num_bytes: 17251334
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- num_examples: 9427
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- - name: val
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- num_bytes: 5922218
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- num_examples: 3270
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- download_size: 12460499
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- dataset_size: 23173552
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  ---
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- # Dataset Card for "boolq_kg"
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- [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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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+
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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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+
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+ ## 🏔️ Part of the KyrgyzLLM-Bench
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+
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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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+
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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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+
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+ ## 📋 Dataset Description
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+
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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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+
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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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+
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+ ## 📜 Citation
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+
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+ If you find this dataset useful in your research, please cite the main project paper:
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+
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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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+ }