TTimur/kyrgyzMMLU
KyrgyzMMLU KyrgyzMMLU is a native, multiple-choice benchmark for evaluating Large Language Models in the Kyrgyz language. It contains 7,977 questions written by Kyrgyz curriculum experts, covering 9 subjects relevant to the national curriculum and public knowledge. ๐๏ธ 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:โฆ See the full description on the dataset page: https://huggingface.co/datasets/TTimur/kyrgyzMMLU.
| Author / organization | TTimur |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 153 (as reported by Hugging Face) |
| Likes | 1 |
| Created | 23 July 2025 |
| Last updated at source | 9 May 2026 |
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153 now (-1 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 16 Oct 2026 Description: KyrgyzMMLU KyrgyzMMLU is a native, multiple-choice benchmark for evaluating Large Language Models in the Kyrgyz language. It contains 7,977 questions written by Kyrgyz curriculum experts, covering 9 subjects relevant to the national curricu โ KyrgyzMMLU KyrgyzMMLU is a native, multiple-choice benchmark for evaluating Large Language Models in the Kyrgyz language. It contains 7,977 questions written by Kyrgyz curriculum experts, covering 9 subjects relevant to the national curricu
Changes detected by Silytics between refreshes of the source.
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Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.