| { | |
| "name": "VSR", | |
| "release_date": "2023-05-04", | |
| "subsets": { | |
| "zeroshot": { | |
| "language": [ | |
| "en" | |
| ], | |
| "modalities": [ | |
| "single_image_start" | |
| ], | |
| "task_type": "yes_no_qa", | |
| "score_pipeline": [ | |
| "rule-match", | |
| "llm-match" | |
| ], | |
| "score_protocol": { | |
| "reference": "VLMEvalKit@vlmeval/dataset/image_yorn.py:19-21,41-103 — VSR-zeroshot graded via YOrN pipeline: rule extraction (utils/yorn.py:254-261 YOrN_Extraction) then GPT extraction fallback for 'Unknown' (yorn.py:264-272 YOrN_auxeval), exact compare to Yes/No; VSR_rating (yorn.py:190-210) reports acc plus precision/recall/F1.", | |
| "note": "Original VSR repo (cambridgeltl/visual-spatial-reasoning) evaluates finetuned classifiers by label probability — no official generative-VLM protocol exists, so VLMEvalKit's YORN pipeline is the de facto standard (tier 2). Aggregation extras (precision/recall/F1 over Yes-class) not reproduced per-sample; headline is accuracy. mm-eval gt stored as Yes/No strings with numeric label in extra (rows verified)." | |
| }, | |
| "prompt_template": "<image>{{ question }} Please answer yes or no. Please answer strictly Yes or No.", | |
| "prompt_template_source": { | |
| "origin": "official", | |
| "reference": "https://github.com/open-compass/VLMEvalKit/blob/main/vlmeval/dataset/image_yorn.py (VSR-zeroshot Y/N TSV; question = '<caption> Please answer yes or no. Please answer strictly Yes or No.')", | |
| "notes": "Tier 3: VLMEvalKit ImageYORNDataset's pre-rendered Y/N prompt format for VSR-zeroshot (canonical). Caption used directly as question; answer derived from VSR label (1=Yes, 0=No)." | |
| }, | |
| "mapping_from_source": { | |
| "media": { | |
| "from": "media", | |
| "type": "list", | |
| "min_items": 1, | |
| "max_items": 1 | |
| }, | |
| "id": { | |
| "from": "id" | |
| }, | |
| "question": { | |
| "from": "caption" | |
| }, | |
| "answer": { | |
| "from": "answer", | |
| "optional": true | |
| }, | |
| "extra": { | |
| "label": { | |
| "from": "label" | |
| }, | |
| "relation": { | |
| "from": "relation" | |
| }, | |
| "subj": { | |
| "from": "subj" | |
| }, | |
| "obj": { | |
| "from": "obj" | |
| }, | |
| "source_image": { | |
| "from": "source_image" | |
| }, | |
| "image_link": { | |
| "from": "image_link" | |
| } | |
| }, | |
| "source": { | |
| "format": "huggingface", | |
| "url": { | |
| "test": "https://huggingface.co/datasets/cambridgeltl/vsr_zeroshot" | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } |