README.md

---
tags:
- kyrgyz
- llm-benchmark
- evaluation
- reading-comprehension
- boolq
- translated
- kyrgyzllm-bench
language:
- ky
---

# BoolQ (Kyrgyz)

This dataset is the Kyrgyz-translated version of the **BoolQ** benchmark, a reading comprehension task requiring a yes/no answer.

## 🏔️ Part of the KyrgyzLLM-Bench

This dataset is a 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 answer a question about a text passage with a simple "yes" or "no."

* **Original Dataset:** [BoolQ](https://huggingface.co/datasets/boolq)
* **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.

## 📜 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/boolq_kg}
}