| { | |
| "name": "MMVet", | |
| "release_date": "2026-05-15", | |
| "subsets": { | |
| "main": { | |
| "language": [ | |
| "en" | |
| ], | |
| "modalities": [ | |
| "single_image_start" | |
| ], | |
| "task_type": "short_answer_qa", | |
| "score_pipeline": [ | |
| "llm-judge" | |
| ], | |
| "score_params": { | |
| "rubric": "partial_credit", | |
| "scale": [ | |
| 0.0, | |
| 1.0 | |
| ], | |
| "official_judge_model": "gpt-4-0613", | |
| "reference_syntax": "and_or_composition" | |
| }, | |
| "score_protocol": { | |
| "reference": "VLMEvalKit@vlmeval/dataset/utils/mmvet.py:8-71 — GPT-4 few-shot prompt assigns per-sample correctness 0.0..1.0 (0.1 steps) against gold with <AND>/<OR> multi-component semantics; vlmeval/dataset/image_vqa.py:2037-2098 (MMVet.evaluate). Same prompt in lmms-eval@lmms_eval/tasks/mmvet/utils.py (MM_VET_PROMPT). Official: yuweihao/MM-Vet mm-vet_evaluator (gpt-4-0613).", | |
| "note": "Official headline = mean per-sample judge score x100 (Overall + per-capability rec/ocr/know/gen/spat/math breakdown via `capability` extra). Per-sample score is fractional partial credit, not binary; VLMEvalKit falls back to score 0.0 after 5 failed judge parses. lmms-eval currently defaults the judge to gpt-4o-2024-11-20 while the official evaluator used gpt-4-0613." | |
| }, | |
| "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, | |
| "note": "uses `<OR>` / `<AND>` separators for alternative gold answers" | |
| }, | |
| "extra": { | |
| "capability": { | |
| "from": "capability" | |
| } | |
| }, | |
| "source": { | |
| "format": "json", | |
| "url": { | |
| "test": "https://huggingface.co/datasets/whyu/mm-vet" | |
| } | |
| } | |
| }, | |
| "prompt_template_source": { | |
| "origin": "official", | |
| "reference": "https://github.com/open-compass/VLMEvalKit/blob/main/vlmeval/dataset/image_vqa.py (MMVet — judge-scored; bare question with no harness suffix)", | |
| "notes": "Tier 3: MMVet judge-scored eval: bare question (no harness suffix) per the official MMVet paper and VLMEvalKit handling." | |
| } | |
| } | |
| } | |
| } |