| { | |
| "name": "PMC-VQA", | |
| "release_date": "2026-05-26", | |
| "subsets": { | |
| "main": { | |
| "language": [ | |
| "en" | |
| ], | |
| "modalities": [ | |
| "single_image_start" | |
| ], | |
| "task_type": "multiple_choice_qa", | |
| "score_pipeline": [ | |
| "exact-match", | |
| "rule-match" | |
| ], | |
| "score_protocol": { | |
| "reference": "official@github.com/xiaoman-zhang/PMC-VQA src/MedVInT_TD/test.py — find_most_similar_index via difflib.SequenceMatcher maps prediction to nearest choice; ACC++ when index_pred==index_label; deterministic string-similarity, no LLM.", | |
| "note": "Official metric maps the free-text prediction to the closest of the 4 choices by difflib fuzzy similarity (not exact letter). mm-eval copy uses a VLMEvalKit-style letter prompt; the exact/template matcher on the emitted letter is a reasonable rule equivalent. VLMEvalKit does not ship PMC-VQA." | |
| }, | |
| "prompt_template": "<image>Question: {{ question }}\nOptions:\n{% for k, v in options.items() %}{{ k }}. {{ v }}\n{% endfor %}Please select the correct answer from the options above. ", | |
| "mapping_from_source": { | |
| "media": { | |
| "from": "image", | |
| "type": "list", | |
| "min_items": 1, | |
| "max_items": 1 | |
| }, | |
| "id": { | |
| "from": "id" | |
| }, | |
| "question": { | |
| "from": "question" | |
| }, | |
| "answer": { | |
| "from": "answer", | |
| "optional": true | |
| }, | |
| "options": { | |
| "from": "options", | |
| "optional": true, | |
| "note": "list source values are normalized to {A,B,...} dict" | |
| }, | |
| "extra": { | |
| "source_id": { | |
| "from": "source_id" | |
| } | |
| }, | |
| "source": { | |
| "format": "json", | |
| "url": { | |
| "test": "https://huggingface.co/datasets/xmcmic/PMC-VQA" | |
| } | |
| } | |
| }, | |
| "prompt_template_source": { | |
| "origin": "official", | |
| "reference": "https://github.com/open-compass/VLMEvalKit/blob/main/vlmeval/dataset/image_mcq.py (PMC-VQA uses ImageMCQDataset.build_prompt canonical MCQ template)", | |
| "notes": "Tier 3: VLMEvalKit ImageMCQDataset.build_prompt; PMC-VQA is evaluated via VLMEvalKit's standard MCQ flow." | |
| } | |
| } | |
| } | |
| } |