Visual7W / 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": "Visual7W",
"release_date": "2026-05-27",
"subsets": {
"main": {
"language": [
"en"
],
"modalities": [
"single_image_start"
],
"task_type": "multiple_choice_qa",
"score_pipeline": [
"rule-match",
"llm-match"
],
"score_protocol": {
"reference": "Published copy (HF datasets-server, mm-eval/Visual7W test, 69817 rows): choices A-D embedded in question text with trailer 'Answer with the letter.', gold = letter. Original Visual7W protocol (Zhu et al., CVPR 2016) is log-likelihood candidate ranking accuracy — not executable for generative/API models; classified per the generic VLMEvalKit MCQ letter-extraction protocol (vlmeval/dataset/utils/multiple_choice.py:359-406: rule prefetch + GPT fallback, exact letter compare).",
"note": "No current framework implements Visual7W (metadata cites lmms_eval/tasks/visual7w which does not exist in present lmms-eval main or v0.2.4-v0.3.1 tags). Official 2016 metric is candidate-scoring accuracy; the published generative letter-answer format is graded as generic MCQ. Published options dict is empty (choices live in the question text)."
},
"prompt_template": "<image>{{ question }}",
"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
},
"extra": {
"source_id": {
"from": "source_id"
}
},
"source": {
"format": "huggingface",
"url": {
"test": "https://huggingface.co/datasets/nimapourjafar/mm_visual7w"
}
}
},
"prompt_template_source": {
"origin": "fallback",
"reference": "T2",
"notes": "Tier 5: no higher tier publishes a prompt. T1: yukezhu/visual7w-toolkit is classification-era (evaluate.py consumes prediction JSON; no model-input prompt); T2: no source prompt column (choices are embedded in the question text of nimapourjafar/mm_visual7w, which itself triggers the T2 bare-question rule); T3: no VLMEvalKit visual7w dataset (tree + code search, 2026-07-07); T4: no lmms-eval tasks/visual7w in current main or v0.2.4-v0.3.1 tags."
}
}
}
}