{
  "name": "Q-Bench-Plus",
  "release_date": "2024-04-15",
  "subsets": {
    "default": {
      "language": [
        "en"
      ],
      "modalities": [
        "multi_image_start"
      ],
      "task_type": "multiple_choice_qa",
      "score_pipeline": [
        "rule-match",
        "llm-match"
      ],
      "score_protocol": {
        "reference": "official paper@arXiv:2402.07116 (Q-Bench+) — GPT-assisted evaluation matches the model's MCQ answer to the choices, with 5-round voting (raises match accuracy 93.2%->98.4%). Cross-check: lmms-eval@lmms_eval/tasks/qbench/qbench2_dev.yaml + utils.py:42-100,103-119 — rule-only MMMU-style parse then exact compare; VLMEvalKit hosts the sibling Q-Bench1/A-Bench as ImageMCQDataset (image_mcq.py:89-94) = rule prefetch + GPT extraction.",
        "note": "Official uses 5-round GPT voting for answer matching; our llm_extract chain does rule prefetch + single-pass LLM extraction. lmms-eval variant is rule-only and falls back to a RANDOM choice when unparseable (not reproduced). Published copy = dev split (public-labeled), options stored as extra fields option0-option3 with 'N/A' padding possible."
      },
      "prompt_template": "{% for _ in range(n_images) %}<image>{% endfor %}{{ question }}\nA. {{ options.option0 }}\nB. {{ options.option1 }}\nC. {{ options.option2 }}\nD. {{ options.option3 }}\nAnswer with the option's letter from the given choices directly.",
      "prompt_template_source": {
        "origin": "official",
        "reference": "https://huggingface.co/datasets/q-future/Q-Bench2-HF",
        "notes": "Tier 1: Q-Bench2 (Q-Bench+) paired-image quality MCQ; dev split is the public-labeled split."
      },
      "mapping_from_source": {
        "media": {
          "from": "images",
          "type": "list",
          "min_items": 2,
          "max_items": 2
        },
        "id": {
          "from": "id"
        },
        "question": {
          "from": "question"
        },
        "answer": {
          "from": "answer",
          "optional": true
        },
        "extra": {
          "n_images": {
            "from": "n_images"
          },
          "option0": {
            "from": "option0"
          },
          "option1": {
            "from": "option1"
          },
          "option2": {
            "from": "option2"
          },
          "option3": {
            "from": "option3"
          },
          "question_type": {
            "from": "question_type"
          },
          "question_concern": {
            "from": "question_concern"
          }
        },
        "source": {
          "format": "json",
          "url": {
            "dev": "https://huggingface.co/datasets/q-future/Q-Bench2-HF"
          }
        }
      }
    }
  }
}