You need to agree to share your contact information to access this dataset

This repository is publicly accessible, but you have to accept the conditions to access its files and content.

Log in or Sign Up to review the conditions and access this dataset content.

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}, 
}
Downloads last month
16