{
  "name": "MME",
  "release_date": "2023-06-23",
  "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/mme/utils.py:48-90 — parse_pred_ans rule (yes/no/y/n/prefix match, else 'other') taken from the official MME calculation script; utils.py:93-123 official score = acc + acc+ (acc+ requires both questions of an image correct), summed over categories.",
        "note": "Official aggregation not reproduced per-sample: per-category score = acc + acc+ where acc+ needs pairwise grouping of the 2 questions per image (pair key = extra.source_id, ids <img>_q1/<img>_q2); perception total (max 2000) and cognition total (max 800) are sums over categories. Per-sample scoring yields plain accuracy only. VLMEvalKit variant adds GPT yes/no extraction fallback (image_yorn.py:52-85 + yorn.py:264-272 YOrN_auxeval) before MME_rating (yorn.py:50-93); official/lmms-eval protocol is pure rule — rule chosen per official."
      },
      "prompt_template": "<image>{{ question }}",
      "mapping_from_source": {
        "media": {
          "from": "image",
          "type": "list",
          "min_items": 1,
          "max_items": 1
        },
        "id": {
          "from": "question_id"
        },
        "question": {
          "from": "question"
        },
        "answer": {
          "from": "answer",
          "optional": true
        },
        "extra": {
          "category": {
            "from": "category"
          }
        },
        "source": {
          "format": "huggingface",
          "url": {
            "test": "https://huggingface.co/datasets/lmms-lab/MME"
          }
        }
      },
      "prompt_template_source": {
        "origin": "official",
        "reference": "https://github.com/EvolvingLMMs-Lab/lmms-eval/blob/main/lmms_eval/tasks/mme/utils.py (mme_doc_to_text — bare question; answer is yes/no)",
        "notes": "Tier 4: lmms-eval MME canonical evaluation prompt (perception/cognition yes/no eval)."
      }
    }
  }
}