{
  "name": "3DSRBench",
  "release_date": "2024-12-01",
  "subsets": {
    "main": {
      "language": [
        "en"
      ],
      "modalities": [
        "single_image_start"
      ],
      "task_type": "multiple_choice_qa",
      "score_pipeline": [
        "rule-match",
        "llm-match"
      ],
      "score_protocol": {
        "reference": "VLMEvalKit@vlmeval/dataset/image_mcq.py:2662-2740 — _3DSRBench.evaluate uses mcq_vanilla_eval (exact/heuristic option inference first, GPT extraction fallback when a judge model is configured), then flip and circular aggregations; the authors distribute the VLMEvalKit-format circular TSV as the official eval path (huggingface.co/datasets/ccvl/3DSRBench).",
        "note": "Official headline is FlipEval accuracy: hit for a question is the product over the original and '-flip' rows (image_mcq.py:2707-2716), plus circular-consistency accuracy (2717-2726); a per-sample mean reproduces only the 'vanilla' number. The mm-eval copy ships the flip rows (ids '<id>-flip'), so pair aggregation remains possible downstream. lmms-eval 3dsrbench (tasks/3dsrbench/utils.py) grades with pure regex extraction, no LLM."
      },
      "prompt_template": "<image>{% if hint %}Hint: {{ hint }}\n{% endif %}Question: {{ question }}\nOptions:\n{% for k, v in options.items() %}{{ k }}. {{ v }}\n{% endfor %}Please select the correct answer from the options above. ",
      "mapping_from_source": {
        "media": {
          "from": "image",
          "type": "list",
          "min_items": 1,
          "max_items": 1
        },
        "id": {
          "from": "id"
        },
        "question": {
          "from": "question"
        },
        "answer": {
          "from": "answer",
          "optional": true
        },
        "options": {
          "from": "options",
          "optional": true,
          "note": "list source values are normalized to {A,B,...} dict"
        },
        "extra": {
          "category": {
            "from": "category"
          }
        },
        "source": {
          "format": "json",
          "url": {
            "test": "https://huggingface.co/datasets/ccvl/3DSRBench"
          }
        }
      },
      "prompt_template_source": {
        "origin": "official",
        "reference": "https://github.com/EvolvingLMMs-Lab/lmms-eval/blob/main/lmms_eval/tasks/3dsrbench/utils.py (3dsrbench_doc_to_text — canonical MCQ Hint:/Question:/Options:/Please select... trailer)",
        "notes": "Tier 4: lmms-eval 3DSRBench canonical evaluation prompt."
      }
    }
  }
}