WorldMedQA-V / metadata.json
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metadata: migrate score_type -> score_pipeline (atomic stage contract; see mm-eval scorer docs/en/SCORING.md)
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{
"name": "WorldMedQA-V",
"release_date": "2024-10-15",
"subsets": {
"default": {
"language": [
"en"
],
"modalities": [
"single_image_start"
],
"task_type": "multiple_choice_qa",
"score_pipeline": [
"rule-match",
"llm-match"
],
"score_protocol": {
"reference": "official@github.com/WorldMedQA/V (README: 'All code for handling and evaluating the dataset is available in the VLMEvalKit repository') -> vlmevalkit@vlmeval/dataset/image_mcq.py:114 WorldMedQA-V is registered in ImageMCQDataset.DATASET_URL, so evaluate() uses the base ImageMCQDataset.evaluate -> mcq_vanilla_eval (rule can_infer first, GPT judge extraction fallback). Confirmed in clone (no WorldMedQA-V subclass; base MCQ path).",
"note": "Multilingual medical MCQ (A-D, options in extra fields A/B/C/D; multiple language rows per image). Authors delegate evaluation to VLMEvalKit's standard MCQ flow (LLM choice extractor). Headline is overall accuracy across languages/local-vs-English."
},
"prompt_template": "<image>{{ question }}\nA. {{ options.A }}\nB. {{ options.B }}\nC. {{ options.C }}\nD. {{ options.D }}\nAnswer with the option's letter from the given choices directly.",
"prompt_template_source": {
"origin": "official",
"reference": "https://huggingface.co/datasets/WorldMedQA/V",
"notes": "Tier 1: WorldMedQA-V multilingual medical MCQ with A-D options and correct_option letter; standard medical-VQA prompt."
},
"mapping_from_source": {
"media": {
"from": "image",
"type": "list",
"min_items": 1,
"max_items": 1
},
"id": {
"from": "index"
},
"question": {
"from": "question"
},
"answer": {
"from": "correct_option",
"optional": true
},
"extra": {
"A": {
"from": "A"
},
"B": {
"from": "B"
},
"C": {
"from": "C"
},
"D": {
"from": "D"
},
"split_col": {
"from": "split"
}
},
"source": {
"format": "huggingface",
"url": {
"train": "https://huggingface.co/datasets/WorldMedQA/V"
}
}
}
}
}
}