{
 "name": "WorldMedQA-V",
 "release_date": "2024-10-15",
 "subsets": {
  "default": {
   "language": [
    "en"
   ],
   "modalities": [
    "single_image_start"
   ],
   "task_type": "multiple_choice_qa",
   "score_type": "llm_extract",
   "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"
     }
    }
   }
  }
 }
}