| { | |
| "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." | |
| } | |
| } | |
| } | |
| } |