Sign inGet started
Dataset ยท Hugging Face

li-lab/MMLU-ProX-Lite

MMLU-ProX-Lite MMLU-ProX is a multilingual benchmark that builds upon MMLU-Pro, extending to 29 typologically diverse languages, designed to evaluate large language models' reasoning capabilities across linguistic and cultural boundaries. Github | Paper News [2025/08] ๐ŸŽ‰ MMLU-ProX was accepted by EMNLP 2025 Main Conference! [2025/05] MMLU-ProX now contains 29 languages, all available on Huggingface. [2025/03] MMLU-ProX is now available on Huggingface. [2025/03]โ€ฆ See the full description on the dataset page: https://huggingface.co/datasets/li-lab/MMLU-ProX-Lite.

Author / organizationli-lab
Downloads3.1K (as reported by Hugging Face)
Likes4
Created18 May 2025
Last updated at source26 August 2025
Embed this entry
<iframe src="https://silytics.si/embed/item/0006086f-8411-44fd-9f59-3535c6d8741a" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Popularity, last 2 days

3,061 now (-290 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.

Recent changes

  • 17 Oct 2026 Description: MMLU-ProX-Lite MMLU-ProX is a multilingual benchmark that builds upon MMLU-Pro, extending to 29 typologically diverse languages, designed to evaluate large language models' reasoning capabilities across linguistic and cultural boundaries. G โ†’ MMLU-ProX-Lite MMLU-ProX is a multilingual benchmark that builds upon MMLU-Pro, extending to 29 typologically diverse languages, designed to evaluate large language models' reasoning capabilities across linguistic and cultural boundaries. G

Changes detected by Silytics between refreshes of the source.

More from li-lab

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.