Datasets:
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README.md
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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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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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# 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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}
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