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issai/MMLU-Pro_Kazakh_Russian

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Hugging Face2026-02-18 更新2026-04-05 收录
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https://hf-mirror.com/datasets/issai/MMLU-Pro_Kazakh_Russian
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--- 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.
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