MMLU
Harbor adapterMMLU evaluates English language models on knowledge and reasoning across 57 diverse subjects using a multiple-choice format with over 14k samples.
- Samples
- 14,042
- Released
- 2020
- Scores
- 209
MMLU Multilingual
MMLU Multilingual This repository contains the multilingual MMLU benchmark release from Recovered in Translation: Efficient Pipeline for Automated Translation of Benchmarks and Datasets (project page, arXiv:2602.
How to run
ltb · mmlu-multilingual
$ npm i -g lettokenburn-cli$ ltb bench pull mmlu-multilingual --n 50$ ltb bench run ./mmlu-multilingual -a claude-code -m anthropic/claude-opus-4-8$ ltb bench push
License is link-only: ltb bench pull fetches rows from the original host for local evaluation only and does not write a solution/ directory. Do not redistribute the generated tasks.
Runs happen on your machine with your own subscription; only the score summary is pushed. CLI docs
Scores
0 sourced entriesNo sourced scores recorded yet.
Every number links to where it was published. Low-confidence rows are muted and need per-cell verification.
Reproduced by the community
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About
MMLU Multilingual
This repository contains the multilingual MMLU benchmark release from Recovered in Translation: Efficient Pipeline for Automated Translation of Benchmarks and Datasets (project page, arXiv:2602.22207). It reorganizes the per-language datasets from the INSAIT-Institute/multilingual-benchmarks collection into one Hugging Face dataset repository, with one config/subset per language. MMLU is a multiple-choice benchmark spanning 57 academic and professional subjects…