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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]}
} |