| # KorMedMCQA | |
| ### Paper | |
| Title: `KorMedMCQA: Multi-Choice Question Answering Benchmark for Korean Healthcare Professional Licensing Examinations` | |
| Abstract: `We introduce KorMedMCQA, the first Korean multiple-choice question answering (MCQA) benchmark derived from Korean healthcare professional licensing examinations, covering from the year 2012 to year 2023. This dataset consists of a selection of questions from the license examinations for doctors, nurses, and pharmacists, featuring a diverse array of subjects. We conduct baseline experiments on various large language models, including proprietary/open-source, multilingual/Korean-additional pretrained, and clinical context pretrained models, highlighting the potential for further enhancements. We make our data publicly available on HuggingFace and provide a evaluation script via LM-Harness, inviting further exploration and advancement in Korean healthcare environments.` | |
| Paper : https://arxiv.org/abs/2403.01469 | |
| Homepage: https://huggingface.co/datasets/sean0042/KorMedMCQA | |
| ### Citation | |
| ``` | |
| @article{kweon2024kormedmcqa, | |
| title={KorMedMCQA: Multi-Choice Question Answering Benchmark for Korean Healthcare Professional Licensing Examinations}, | |
| author={Sunjun Kweon and Byungjin Choi and Minkyu Kim and Rae Woong Park and Edward Choi}, | |
| journal={arXiv preprint arXiv:2403.01469}, | |
| year={2024} | |
| } | |
| ``` | |
| ### Groups and Tasks | |
| * `kormedmcqa`: Runs `kormedmcqa_doctor`, `kormedmcqa_nurse`, and `kormedmcqa_pharm`. | |
| #### Tasks | |
| * `kormedmcqa_doctor`: `Official Korean Doctor Examination` | |
| * `kormedmcqa_nurse`: `Official Korean Nurse Examination` | |
| * `kormedmcqa_pharm`: `Official Korean Pharmacist Examination` | |
| ### Checklist | |
| For adding novel benchmarks/datasets to the library: | |
| * [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? If so, have you checked against the reference implementation and documented how to run such a test? | |
| 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? | |