Qolda_language_benchmarks
Collection
These are the language benchmarks used to evaluate Qolda model • 9 items • Updated
Datasets:
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Dataset Summary
These are the machine-translated Kazakh and Russian versions of the MMLU-Pro (Massive Multitask Language Understanding 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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