{
  "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."
      }
    }
  }
}