{
  "name": "MuirBench",
  "release_date": "2024-06-06",
  "subsets": {
    "main": {
      "language": [
        "en"
      ],
      "modalities": [
        "multi_image_interleave"
      ],
      "task_type": "multiple_choice_qa",
      "score_pipeline": [
        "exact-match",
        "rule-match"
      ],
      "score_protocol": {
        "reference": "official@github.com/muirbench/MuirBench eval/utils/postprocess.py:13 (parse_multi_choice_response) — deterministic string matching: '(A)' form, then isolated ' A ', then option-content substring for long responses; random option as last resort (L42-43, random.seed(42)); no LLM. lmms-eval@lmms_eval/tasks/muirbench/muirbench.yaml:23-37 + utils.py (MultiChoiceRegexFilter + lowercase exact match, muir_aggregation) agrees.",
        "note": "Official falls back to a RANDOM choice when nothing matches — a per-sample scorer should instead mark unparseable responses incorrect (deterministic, slightly stricter). VLMEvalKit's MUIRDataset (image_mcq.py:667) inherits the generic MCQ pipeline with optional GPT extraction, but the authors' own code is LLM-free. Official reporting is overall accuracy plus per-task accuracy (lmms-eval utils.py muir_aggregation)."
      },
      "prompt_template": "{{ question }}",
      "mapping_from_source": {
        "media": {
          "from": "images",
          "type": "list",
          "min_items": 2,
          "max_items": 9
        },
        "id": {
          "from": "id"
        },
        "question": {
          "from": "question"
        },
        "answer": {
          "from": "answer",
          "optional": true
        },
        "extra": {
          "task": {
            "from": "task"
          }
        },
        "source": {
          "format": "json",
          "url": {
            "test": "https://huggingface.co/datasets/MUIRBENCH/MUIRBENCH"
          }
        }
      },
      "prompt_template_source": {
        "origin": "official",
        "reference": "https://github.com/open-compass/VLMEvalKit/blob/main/vlmeval/dataset/image_mcq.py (MUIRDataset.build_prompt — question column already bakes 'Answer with the option letter only.' trailer; bare-question template avoids duplication)",
        "notes": "Tier 3: VLMEvalKit MUIRDataset.build_prompt: MuirBench's question column already contains its answer-format trailer baked in, so the official handling is bare {{ question }}."
      }
    }
  }
}