| { | |
| "name": "MMEvalPro", | |
| "release_date": "2026-07-07", | |
| "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/chenllliang/MMEvalPro auto_score.py — no extraction/LLM: direct equality answer == model_output per question; Genuine Accuracy groups rows by triplet_id and counts a triplet correct only if all three (Origin/Perception/Knowledge) are correct; also Average Accuracy and per-eval_type accuracies, macro/micro over source datasets.", | |
| "note": "Official HEADLINE metric is Genuine Accuracy over question triplets: group rows by 'triplet_id' (each triplet has exactly 3 rows, one per eval_type Origin/Perception/Knowledge) and count a triplet correct only if all 3 of its rows are answered correctly; Genuine Accuracy = correct_triplets / total_triplets (2138 triplets). The per-sample scorer computes only the official Average Accuracy (per-row equality answer==prediction); reconstruct Genuine Accuracy downstream by grouping result rows on the carried 'triplet_id' field. Source: github.com/chenllliang/MMEvalPro auto_score.py (triplet_id + eval_type grouping)." | |
| }, | |
| "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. ", | |
| "prompt_template_source": { | |
| "origin": "official", | |
| "reference": "VLMEvalKit vlmeval/dataset/image_mcq.py (ImageMCQDataset.build_prompt — deployed rendering)", | |
| "notes": "Tier 3 deployed. The authors' own prompt exists (arXiv:2407.00468 App. B.1: 'Analyse the image and choose the best answer...Just output the letter of the correct answer.') but its {options} byte-format is under-specified in the paper — flagged as an open question rather than deploying an invented rendering. The fabricated '{% if hint %}' branch was removed 2026-07-07 (source schema has no hint field; rendering unchanged since hint was always empty)." | |
| }, | |
| "mapping_from_source": { | |
| "media": { | |
| "from": "image", | |
| "type": "list", | |
| "min_items": 1, | |
| "max_items": 1 | |
| }, | |
| "id": { | |
| "from": "index" | |
| }, | |
| "question": { | |
| "from": "question" | |
| }, | |
| "answer": { | |
| "from": "answer", | |
| "optional": true | |
| }, | |
| "options": { | |
| "from": "choices", | |
| "optional": true, | |
| "note": "list source values are normalized to {A,B,...} dict" | |
| }, | |
| "extra": { | |
| "source": { | |
| "from": "source" | |
| }, | |
| "question_category": { | |
| "from": "question_category" | |
| }, | |
| "eval_type": { | |
| "from": "eval_type" | |
| }, | |
| "triplet_id": { | |
| "from": "triplet_id" | |
| } | |
| }, | |
| "source": { | |
| "format": "huggingface", | |
| "url": { | |
| "test": "https://huggingface.co/datasets/MM-Diagnose/MMEvalPro" | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } |