{
  "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"
          }
        }
      }
    }
  }
}