| { | |
| "name": "POPE", | |
| "release_date": "2026-05-15", | |
| "subsets": { | |
| "main": { | |
| "language": [ | |
| "en" | |
| ], | |
| "modalities": [ | |
| "single_image_start" | |
| ], | |
| "task_type": "yes_no_qa", | |
| "score_pipeline": [ | |
| "exact-match", | |
| "rule-match" | |
| ], | |
| "score_protocol": { | |
| "reference": "lmms-eval@lmms_eval/tasks/pope/utils.py:17-29 — pred.lower().strip() exact-compared to gt yes/no, no LLM; aggregations utils.py:32-90 compute accuracy, precision, recall, F1, yes-ratio.", | |
| "note": "Official headline is accuracy+precision+recall+F1 reported per category (adversarial/popular/random, carried in extra.category); per-sample accuracy reproduces only accuracy — F1/precision/recall must be recomputed at aggregation (VLMEvalKit yorn.py:148-187 POPE_rating explodes per category). VLMEvalKit variant adds GPT yes/no extraction fallback (yorn.py:254-272 YOrN_Extraction + YOrN_auxeval); lmms-eval/official use pure rules — rule chosen per official protocol." | |
| }, | |
| "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": { | |
| "category": { | |
| "from": "category" | |
| } | |
| }, | |
| "source": { | |
| "format": "json", | |
| "url": { | |
| "test": "https://huggingface.co/datasets/lmms-lab/POPE" | |
| } | |
| } | |
| }, | |
| "prompt_template_source": { | |
| "origin": "official", | |
| "reference": "https://github.com/open-compass/VLMEvalKit/blob/main/vlmeval/dataset/image_yorn.py (ImageYORNDataset.build_prompt — bare yes/no question)", | |
| "notes": "Tier 3: VLMEvalKit POPE ImageYORNDataset.build_prompt: bare yes/no question." | |
| } | |
| } | |
| } | |
| } |