ArabicMMLU

Paper

ArabicMMLU: Measuring massive multitask language understanding in Arabic This dataset has been translated from the original MMLU with the help of GPT-4.

The original data MMLU

The translation has been done with AceGPT researchers AceGPT

ArabicMMLU is a comprehensive evaluation benchmark specifically designed to evaluate the knowledge and reasoning abilities of LLMs within the context of Arabic language and culture. ArabicMMLU covers a wide range of subjects, comprising 57 topics that span from elementary to advanced professional levels.

Homepage: AceGPT Homepage

Citation

Groups and Tasks

Groups

ammlu: All 57 subjects of the ArabicMMLU dataset, evaluated following the methodology in MMLU's original implementation.

Tasks

The following tasks evaluate subjects in the ArabicMMLU dataset using loglikelihood-based multiple-choice scoring:

ammlu_{subject_english}

Checklist

Is the task an existing benchmark in the literature?
- Have you referenced the original paper that introduced the task?
- If yes, does the original paper provide a reference implementation?
  - Yes, original implementation contributed by author of the benchmark

If other tasks on this dataset are already supported:

Is the "Main" variant of this task clearly denoted?
Have you provided a short sentence in a README on what each new variant adds / evaluates?
Have you noted which, if any, published evaluation setups are matched by this variant?