Sign inGet started
Dataset · Hugging Face

OpenLLM-Ro/ro_mmlu

Dataset Description Measuring Massive Multitask Language Understanding (MMLU) is a benchmark that measures a text model’s multitask accuracy. The test covers 57 tasks including elementary mathematics, US history, computer science, law, and more. Here we provide the Romanian translation of the MMLU from the paper "Okapi: Instruction-tuned Large Language Models in Multiple Languages with Reinforcement Learning from Human Feedback" (Lai et al., 2023). This dataset is used as a… See the full description on the dataset page: https://huggingface.co/datasets/OpenLLM-Ro/ro_mmlu.

Author / organizationOpenLLM-Ro
License (as declared)cc-by-nc-4.0
Downloads273 (as reported by Hugging Face)
Likes0
Created28 June 2024
Last updated at source4 June 2026
Embed this entry
<iframe src="https://silytics.si/embed/item/8250fd89-c4db-470c-b306-bfac7433e350" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

More from OpenLLM-Ro

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 16 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.