| # ArabicMMLU |
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| ### Paper |
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| ArabicMMLU: Measuring massive multitask language understanding in Arabic |
| This dataset has been translated from the original MMLU with the help of GPT-4. |
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| The original data [MMLU](https://arxiv.org/pdf/2009.03300v3.pdf) |
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| The translation has been done with AceGPT researchers [AceGPT](https://arxiv.org/abs/2309.12053) |
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| 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. |
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| Homepage: [AceGPT Homepage](https://github.com/FreedomIntelligence/AceGPT/tree/main/eval/benchmark_eval/benchmarks/MMLUArabic) |
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| ### Citation |
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| ### Groups and Tasks |
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| #### Groups |
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| - `ammlu`: All 57 subjects of the ArabicMMLU dataset, evaluated following the methodology in MMLU's original implementation. |
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| #### Tasks |
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| The following tasks evaluate subjects in the ArabicMMLU dataset using loglikelihood-based multiple-choice scoring: |
| - `ammlu_{subject_english}` |
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| ### Checklist |
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| * [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 |
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| 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? |
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