Datasets:
TUMLU: A Unified and Native Language Understanding Benchmark for Turkic Languages
This repo contains the TUMLU-mini dataset from TUMLU paper. Code repository is hosted on GitHub.
Dataset
TurkicMMLU spans 8 Turkic languages, with plans to add more.
- Azerbaijani
- Crimean Tatar
- Karakalpak
- Kazakh
- Tatar
- Turkish
- Uyghur
- Uzbek
- Kyrgyz
All questions are at middle- and high-school level. All questions are native, i.e., not translated or synthetically generated. There can be some difference in difficuly levels across languages.
Results
5-shot results
Model | Mean | aze | crh | kaa | kaz | tat | tur | uig | uzb |
---|---|---|---|---|---|---|---|---|---|
Claude 3.5 Sonnet | 79.3 | 84.4 | 81.2 | 75.3 | 83.0 | 84.0 | 85.7 | 71.3 | 69.1 |
GPT-4o | 75.1 | 82.4 | 70.5 | 70.8 | 81.0 | 80.5 | 83.7 | 66.5 | 65.4 |
Gemini 1.5 Pro | 74.0 | 78.6 | 70.3 | 68.2 | 78.4 | 80.5 | 80.0 | 71.0 | 65.1 |
Gemini 1.5 Flash | 65.6 | 72.4 | 68.0 | 61.2 | 68.6 | 68.3 | 76.6 | 57.8 | 52.1 |
Claude 3.5 Haiku | 63.9 | 70.6 | 62.9 | 55.2 | 69.9 | 67.5 | 78.0 | 56.6 | 50.3 |
Llama- 3.1 405B | 62.9 | 65.9 | 69.5 | 60.0 | 69.0 | 70.4 | 59.7 | 58.2 | 50.4 |
Qwen2.5 72B | 61.5 | 70.1 | 61.8 | 54.6 | 62.6 | 62.5 | 73.9 | 56.0 | 50.4 |
Llama 3.3 70B | 58.4 | 66.0 | 58.7 | 49.2 | 60.0 | 69.5 | 68.4 | 51.6 | 44.1 |
Llama 3.1 70B | 57.6 | 68.1 | 57.3 | 49.9 | 56.4 | 66.2 | 64.9 | 52.4 | 45.3 |
Gemma 2 27b | 51.6 | 58.1 | 49.8 | 47.6 | 58.4 | 54.9 | 64.3 | 42.2 | 37.6 |
Gemma 2 9b | 46.8 | 53.7 | 46.8 | 40.8 | 49.1 | 51.8 | 60.4 | 35.8 | 36.1 |
Qwen2.5 7B | 42.1 | 48.0 | 42.6 | 37.2 | 45.0 | 40.5 | 55.6 | 33.4 | 34.6 |
Llama 3.1 8B | 40.1 | 48.4 | 35.7 | 33.4 | 46.4 | 44.1 | 47.7 | 35.0 | 29.9 |
5-shot chain-of-thought results
Model | Mean | aze | kaz | tur | uzb |
---|---|---|---|---|---|
Claude 3.5 Sonnet | 83.0 | 87.1 (+2.7) | 84.1 (+1.1) | 87.9 (+2.1) | 72.9 (+3.7) |
GPT-4o | 78.5 | 82.9 (+0.4) | 80.7 (-0.3) | 84.0 (+0.3) | 66.3 (+0.9) |
Gemini 1.5 Pro | 75.8 | 80.0 (+1.4) | 75.1 (-3.3) | 81.0 (+1.0) | 67.0 (+1.9) |
Llama 3.1 405B | 69.8 | 73.4 (+7.6) | 68.7 (-0.3) | 80.7 (+21.0) | 56.4 (+6.0) |
Claude 3.5 Haiku | 69.4 | 77.0 (+6.4) | 74.0 (+4.1) | 77.6 (-0.4) | 49.0 (-1.3) |
Gemini 1.5 Flash | 67.6 | 73.9 (+1.4) | 69.0 (+0.4) | 73.6 (-3.0) | 54.1 (+2.0) |
Qwen2.5 72B | 67.0 | 72.1 (+2.0) | 63.9 (+1.3) | 78.4 (+4.6) | 53.6 (+3.1) |
Llama 3.3 70B | 66.9 | 70.6 (+4.6) | 69.3 (+9.3) | 77.4 (+9.0) | 50.4 (+6.3) |
Gemma 2 27B | 59.0 | 63.0 (+4.9) | 61.6 (+3.1) | 66.4 (+2.1) | 44.9 (+7.3) |
Llama 3.1 70B | 55.6 | 59.4 (-8.7) | 61.7 (+5.3) | 73.3 (+8.4) | 27.9 (-17.4) |
Gemma 2 9B | 52.4 | 57.3 (+3.6) | 52.7 (+3.6) | 62.3 (+1.9) | 37.4 (+1.3) |
Qwen2.5 7B | 47.2 | 48.1 (+0.1) | 46.4 (+1.4) | 56.3 (+0.7) | 38.0 (+3.4) |
Llama 3.1 8B | 37.8 | 40.7 (-7.7) | 38.9 (-7.6) | 45.1 (-2.6) | 26.6 (-3.3) |
Contributions
All issues and PRs are welcome! We are particularly grateful for any feedback on data quality, even if it is a simple typo that we have missed.
Our team consists of the following people, in alphabetical order:
- Abdullatif Köksal
- Amina Alisheva
- Anar Rzayev
- Ariana Kenbayeva
- Arofat Akhundjanova
- Aizirek Turdubaeva
- Dmitry Gaynullin
- Duygu Ataman
- Ilshat Saetov
- Jafar Isbarov
- Kavsar Huseynova
- Mammad Hajili
- Osman Tursun
- Rinat Kharisov
- Samir Rustamov
- Saule Belginova
Citation
If you use this dataset in your work, please, cite us:
@misc{isbarov2025tumluunifiednativelanguage,
title={{TUMLU: A Unified and Native Language Understanding Benchmark for Turkic Languages}},
author={Jafar Isbarov and Arofat Akhundjanova and Mammad Hajili and Kavsar Huseynova and Dmitry Gaynullin and Anar Rzayev and Osman Tursun and Ilshat Saetov and Rinat Kharisov and Saule Belginova and Ariana Kenbayeva and Amina Alisheva and Aizirek Turdubaeva and Abdullatif Köksal and Samir Rustamov and Duygu Ataman},
year={2025},
eprint={2502.11020},
archivePrefix={arXiv},
primaryClass={cs.CL},
url={https://arxiv.org/abs/2502.11020},
}
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