---
dataset_info:
- config_name: kazakh
  features:
  - name: question_id
    dtype: string
  - name: question
    dtype: string
  - name: options
    list: string
  - name: answer_index
    dtype: int32
  - name: category
    dtype: string
  - name: src
    dtype: string
  splits:
  - name: test
    num_bytes: 13729535
    num_examples: 12032
  download_size: 5474637
  dataset_size: 13729535
- config_name: russian
  features:
  - name: question_id
    dtype: int64
  - name: question
    dtype: string
  - name: options
    list: string
  - name: answer_index
    dtype: int64
  - name: category
    dtype: string
  - name: src
    dtype: string
  splits:
  - name: test
    num_bytes: 14552889
    num_examples: 12032
  download_size: 5912337
  dataset_size: 14552889
configs:
- config_name: kazakh
  data_files:
  - split: test
    path: kazakh/test-*
- config_name: russian
  data_files:
  - split: test
    path: russian/test-*
task_categories:
- question-answering
language:
- kk
size_categories:
- 10K<n<100K
license: mit
---

## Dataset Summary

These are the machine-translated Kazakh and Russian versions of the [MMLU-Pro (Massive Multitask Language Understanding Pro)](https://huggingface.co/datasets/TIGER-Lab/MMLU-Pro) dataset (test set). 

These datasets are used to test the world knowledge and problem-solving capabilities of large language models across a vast range of subjects in the Kazakh and Russian languages. As an enhanced version of the original MMLU, it serves as a more rigorous benchmark for evaluating how well models understand complex academic and professional topics when prompted in Kazakh, featuring more options per question and more challenging reasoning tasks.

## Funding
This dataset was developed as part of the project funded by the Ministry of Science and Higher Education of the Republic of Kazakhstan under Grant No. BR24993001, “Creation of a Large Language Model (LLM) to Support the Kazakh Language and Advance Technological Development.”