| # Arabic EXAMS | |
| ### Paper | |
| EXAMS: a resource specialized in multilingual high school exam questions. | |
| The original paper [EXAMS](https://aclanthology.org/2020.emnlp-main.438/) | |
| The Arabic EXAMS dataset includes five subjects | |
| - Islamic studies | |
| - Biology | |
| - Physics | |
| - Science | |
| - Social | |
| The original dataset [EXAMS-QA](https://github.com/mhardalov/exams-qa) | |
| EXAMS is a benchmark dataset for cross-lingual and multilingual question answering for high school examinations. | |
| With 24,000 high-quality high school exam questions in 16 languages, covering 8 language families and 24 school subjects from Natural Sciences and Social Sciences, among others. | |
| EXAMS offers unique fine-grained evaluation framework across multiple languages and subjects | |
| Homepage for Arabic EXAMS: [EXAMS Arabic Homepage](https://github.com/FreedomIntelligence/AceGPT/tree/main/eval/benchmark_eval/benchmarks/EXAMS_Arabic) | |
| ### Citation | |
| ### Groups and Tasks | |
| #### Groups | |
| - `EXAMS Arabic`: include IslamicStudies, Biology, Science, Physics, Social. | |
| #### Tasks | |
| The following tasks evaluate subjects in Arabic EXAMS dataset using loglikelihood-based multiple-choice scoring: | |
| - `aexams_IslamicStudies` | |
| - `aexams_Biology` | |
| - `aexams_Science` | |
| - `aexams_Physics` | |
| - `aexams_Social` | |
| ### 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? | |