Datasets:
metadata
dataset_info:
- config_name: azerbaijani
features:
- name: question
dtype: string
- name: answer
dtype: string
- name: subject
dtype: string
- name: choices
sequence: string
- name: CoT
dtype: string
splits:
- name: dev
num_bytes: 27087
num_examples: 35
- name: test
num_bytes: 108825
num_examples: 700
download_size: 81693
dataset_size: 135912
- config_name: crimean-tatar
features:
- name: question
dtype: string
- name: choices
sequence: string
- name: subject
dtype: string
- name: answer
dtype: string
- name: CoT
dtype: string
splits:
- name: dev
num_bytes: 8620
num_examples: 35
- name: test
num_bytes: 89353
num_examples: 345
download_size: 64191
dataset_size: 97973
- config_name: karakalpak
features:
- name: question
dtype: string
- name: choices
sequence: string
- name: answer
dtype: string
- name: subject
dtype: string
- name: CoT
dtype: string
splits:
- name: dev
num_bytes: 6427
num_examples: 25
- name: test
num_bytes: 58334
num_examples: 215
download_size: 46804
dataset_size: 64761
- config_name: kazakh
features:
- name: question
dtype: string
- name: choices
sequence: string
- name: answer
dtype: string
- name: subject
dtype: string
- name: CoT
dtype: string
splits:
- name: dev
num_bytes: 45540.444444444445
num_examples: 40
- name: test
num_bytes: 202232
num_examples: 799
download_size: 130554
dataset_size: 247772.44444444444
- config_name: tatar
features:
- name: question
dtype: string
- name: answer
dtype: string
- name: subject
dtype: string
- name: choices
sequence: string
- name: CoT
dtype: string
splits:
- name: dev
num_bytes: 58721
num_examples: 44
- name: test
num_bytes: 273310
num_examples: 795
download_size: 156167
dataset_size: 332031
- config_name: turkish
features:
- name: subject
dtype: string
- name: question
dtype: string
- name: choices
sequence: string
- name: answer
dtype: string
- name: CoT
dtype: string
splits:
- name: dev
num_bytes: 56582
num_examples: 45
- name: test
num_bytes: 419356
num_examples: 900
download_size: 262328
dataset_size: 475938
- config_name: uyghur
features:
- name: subject
dtype: string
- name: question
dtype: string
- name: choices
sequence: string
- name: answer
dtype: string
- name: CoT
dtype: string
splits:
- name: dev
num_bytes: 11912
num_examples: 25
- name: test
num_bytes: 256878
num_examples: 494
download_size: 116861
dataset_size: 268790
- config_name: uzbek
features:
- name: question
dtype: string
- name: choices
sequence: string
- name: answer
dtype: string
- name: subject
dtype: string
- name: CoT
dtype: string
splits:
- name: dev
num_bytes: 25340
num_examples: 35
- name: test
num_bytes: 199912
num_examples: 700
download_size: 136517
dataset_size: 225252
configs:
- config_name: azerbaijani
data_files:
- split: dev
path: azerbaijani/dev-*
- split: test
path: azerbaijani/test-*
- config_name: crimean-tatar
data_files:
- split: dev
path: crimean-tatar/dev-*
- split: test
path: crimean-tatar/test-*
- config_name: karakalpak
data_files:
- split: dev
path: karakalpak/dev-*
- split: test
path: karakalpak/test-*
- config_name: kazakh
data_files:
- split: dev
path: kazakh/dev-*
- split: test
path: kazakh/test-*
- config_name: tatar
data_files:
- split: dev
path: tatar/dev-*
- split: test
path: tatar/test-*
- config_name: turkish
data_files:
- split: dev
path: turkish/dev-*
- split: test
path: turkish/test-*
- config_name: uyghur
data_files:
- split: dev
path: uyghur/dev-*
- split: test
path: uyghur/test-*
- config_name: uzbek
data_files:
- split: dev
path: uzbek/dev-*
- split: test
path: uzbek/test-*
license: cc-by-4.0
task_categories:
- multiple-choice
language:
- az
- tr
- tt
- uz
- ug
- kk
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},
}