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  - medical
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  size_categories:
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  - 10K<n<100K
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  - medical
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  size_categories:
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  - 10K<n<100K
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+ ---
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+
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+ # KorMedMCQA : Multi-Choice Question Answering Benchmark for Korean Healthcare Professional Licensing Examinations
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+
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+ 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.
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+ This dataset consists of a selection of questions from the license examinations for doctors, nurses, and pharmacists, featuring a diverse array of subjects.
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+ 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.
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+ 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.
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+
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+ Paper : https://arxiv.org/abs/2403.01469
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+
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+ ## Dataset Details
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+
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+ ### Languages
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+
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+ Korean
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+
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+ ### Subtask
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+
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+ ```
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+ from datasets import load_dataset
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+ doctor = load_dataset(path = "sean0042/KorMedMCQA",name = "doctor")
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+ nurse = load_dataset(path = "sean0042/KorMedMCQA",name = "nurse")
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+ pharmacist = load_dataset(path = "sean0042/KorMedMCQA",name = "pharm")
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+ ```
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+
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+ ### Statistics
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+
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+ | Category | # Questions (Train/Dev/Test) |
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+ |------------------------------|------------------------------|
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+ | Doctor | 2,339 (1,890/164/285) |
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+ | Nurse | 1,460 (582/291/587) |
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+ | Pharmacist | 1,546 (632/300/614) |
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+
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+ ### Data Fields
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+
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+
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+ - `subject`: doctor, nurse, or pharm
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+ - `year`: year of the examination
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+ - `period`: period of the examination
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+ - `q_number`: question number of the examination
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+ - `question`: question
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+ - `A`: First answer choice
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+ - `B`: Second answer choice
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+ - `C`: Third answer choice
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+ - `D`: Fourth answer choice
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+ - `E`: Fifth answer choice
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+ - `answer` : Answer (1 to 5). 1 denotes answer A, and 5 denotes answer E
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+
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+
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+ ## Contact
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+
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+ ```
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+ ```