{
  "name": "R-Bench-V",
  "release_date": "2026-05-25",
  "subsets": {
    "main": {
      "language": [
        "en"
      ],
      "modalities": [
        "single_image_start"
      ],
      "task_type": "short_answer_qa",
      "score_pipeline": [
        "llm-judge"
      ],
      "score_params": {
        "rubric": "binary",
        "official_judge_model": "gpt-4o"
      },
      "score_protocol": {
        "reference": "official paper arXiv:2505.16770 §4.2 — 'we adopt a unified LLM-as-a-Judge framework, with the judge model being GPT-4o. We report Top-1 accuracy (%) as our default evaluation metric.' for all 803 questions (both MCQ and open-ended); official eval code released as a VLMEvalKit fork (github.com/CHEN-Xinsheng/VLMEvalKit_RBench-V). [Quote re-verified verbatim against arxiv.org/html/2505.16770 §4.2, 2026-07-07.]",
        "note": "Every sample is officially judge-graded binary; ground truths are often multi-part/unit-laden strings (e.g. '（1）60W（2）80%', '11cm'), so rule pre-resolution is unreliable and was not part of the official protocol. Not present in upstream VLMEvalKit or lmms-eval. NOTE: the math/physics/game/counting splits are category re-slices of the full split (176+157+275+195=803) — pooling any category split with 'full' double-counts; official headline = accuracy over the 803 'full' rows."
      },
      "prompt_template": "{% if has_image %}<image>{% endif %}{{ question }}",
      "mapping_from_source": {
        "media": {
          "from": "image",
          "type": "list",
          "min_items": 0,
          "max_items": 1
        },
        "id": {
          "from": "id"
        },
        "question": {
          "from": "question"
        },
        "answer": {
          "from": "answer",
          "optional": true
        },
        "extra": {
          "catagory": {
            "from": "catagory"
          },
          "has_image": {
            "from": "has_image"
          }
        },
        "source": {
          "format": "huggingface",
          "url": {
            "full": "https://huggingface.co/datasets/R-Bench/R-Bench-V",
            "math": "https://huggingface.co/datasets/R-Bench/R-Bench-V",
            "physics": "https://huggingface.co/datasets/R-Bench/R-Bench-V",
            "game": "https://huggingface.co/datasets/R-Bench/R-Bench-V",
            "counting": "https://huggingface.co/datasets/R-Bench/R-Bench-V"
          }
        }
      },
      "prompt_template_source": {
        "origin": "official",
        "reference": "https://github.com/SCUT-DLVCLab/R-Bench (R-Bench-V official: bare image+question with has_image conditional)",
        "notes": "Tier 1: R-Bench-V official evaluation prompt as published by the dataset authors."
      }
    }
  }
}