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 / organization | OpenLLM-Ro |
|---|---|
| License (as declared) | cc-by-nc-4.0 |
| Downloads | 273 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 28 June 2024 |
| Last updated at source | 4 June 2026 |
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