{
  "name": "VisIT-Bench",
  "release_date": "2023-11-09",
  "subsets": {
    "default": {
      "language": [
        "en"
      ],
      "modalities": [
        "single_image_start"
      ],
      "task_type": "open_ended_qa",
      "score_pipeline": [
        "llm-judge"
      ],
      "score_params": {
        "rubric": "binary",
        "official_judge_model": "gpt-4",
        "judge_inputs": [
          "instruction_conditioned_caption"
        ]
      },
      "score_protocol": {
        "reference": "Official repo https://github.com/mlfoundations/VisIT-Bench — GPT-4 (reference-free) pairwise judge run in both orderings; leaderboard = Elo ratings + headline win rate vs the GPT-4 reference response (gpt4_prediction). README re-verified 2026-07-07: 'reference-free GPT-4 as an evaluator', 'elo ratings and the win-rate-against reference', two judgements per battle aggregated. Not implemented in VLMEvalKit or lmms-eval.",
        "note": "Official headline = win rate vs the GPT-4 reference (plus Elo over multi-model battles), aggregated from both-ordering pairwise judgments — no per-sample absolute rubric exists officially. The mm-eval copy stores the GPT-4 reference as both `answer` and extra.reference_response, enabling per-instance judge-vs-reference grading (rubric=binary: model response wins/ties vs reference), which is an approximation of the win-rate headline; Elo is not reproducible per-sample."
      },
      "prompt_template": "<image>{{ question }}",
      "prompt_template_source": {
        "origin": "official",
        "reference": "https://huggingface.co/datasets/mlfoundations/VisIT-Bench",
        "notes": "Tier 1: VisIT-Bench is judge-scored open-ended instruction-following over real images. Per paper, evaluator is an LLM judge that compares model output to reference_response (gpt4_prediction column); we store the reference as both `answer` (for exact-match-style storage compatibility) and `reference_response` (canonical judge field)."
      },
      "mapping_from_source": {
        "media": {
          "from": "images",
          "type": "list",
          "min_items": 1,
          "max_items": 1
        },
        "id": {
          "from": "id"
        },
        "question": {
          "from": "question"
        },
        "answer": {
          "from": "answer",
          "optional": true
        },
        "extra": {
          "n_images": {
            "from": "n_images"
          },
          "reference_response": {
            "from": "reference_response"
          },
          "instruction_conditioned_caption": {
            "from": "instruction_conditioned_caption"
          },
          "instruction_category": {
            "from": "instruction_category"
          },
          "judge_type": {
            "from": "judge_type"
          }
        },
        "source": {
          "format": "json",
          "url": {
            "test": "https://huggingface.co/datasets/mlfoundations/VisIT-Bench"
          }
        }
      }
    }
  }
}