| # 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](https://arxiv.org/pdf/2009.03300v3.pdf) | |
| The translation has been done with AceGPT researchers [AceGPT](https://arxiv.org/abs/2309.12053) | |
| 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](https://github.com/FreedomIntelligence/AceGPT/tree/main/eval/benchmark_eval/benchmarks/MMLUArabic) | |
| ### 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 | |
| * [x] Is the task an existing benchmark in the literature? | |
| * [x] Have you referenced the original paper that introduced the task? | |
| * [x] If yes, does the original paper provide a reference implementation? | |
| * [x] Yes, original implementation contributed by author of the benchmark | |
| If other tasks on this dataset are already supported: | |
| * [x] Is the "Main" variant of this task clearly denoted? | |
| * [x] Have you provided a short sentence in a README on what each new variant adds / evaluates? | |
| * [x] Have you noted which, if any, published evaluation setups are matched by this variant? | |