{
  "name": "VSR",
  "release_date": "2023-05-04",
  "subsets": {
    "zeroshot": {
      "language": [
        "en"
      ],
      "modalities": [
        "single_image_start"
      ],
      "task_type": "yes_no_qa",
      "score_pipeline": [
        "rule-match",
        "llm-match"
      ],
      "score_protocol": {
        "reference": "VLMEvalKit@vlmeval/dataset/image_yorn.py:19-21,41-103 — VSR-zeroshot graded via YOrN pipeline: rule extraction (utils/yorn.py:254-261 YOrN_Extraction) then GPT extraction fallback for 'Unknown' (yorn.py:264-272 YOrN_auxeval), exact compare to Yes/No; VSR_rating (yorn.py:190-210) reports acc plus precision/recall/F1.",
        "note": "Original VSR repo (cambridgeltl/visual-spatial-reasoning) evaluates finetuned classifiers by label probability — no official generative-VLM protocol exists, so VLMEvalKit's YORN pipeline is the de facto standard (tier 2). Aggregation extras (precision/recall/F1 over Yes-class) not reproduced per-sample; headline is accuracy. mm-eval gt stored as Yes/No strings with numeric label in extra (rows verified)."
      },
      "prompt_template": "<image>{{ question }} Please answer yes or no. Please answer strictly Yes or No.",
      "prompt_template_source": {
        "origin": "official",
        "reference": "https://github.com/open-compass/VLMEvalKit/blob/main/vlmeval/dataset/image_yorn.py (VSR-zeroshot Y/N TSV; question = '<caption> Please answer yes or no. Please answer strictly Yes or No.')",
        "notes": "Tier 3: VLMEvalKit ImageYORNDataset's pre-rendered Y/N prompt format for VSR-zeroshot (canonical). Caption used directly as question; answer derived from VSR label (1=Yes, 0=No)."
      },
      "mapping_from_source": {
        "media": {
          "from": "media",
          "type": "list",
          "min_items": 1,
          "max_items": 1
        },
        "id": {
          "from": "id"
        },
        "question": {
          "from": "caption"
        },
        "answer": {
          "from": "answer",
          "optional": true
        },
        "extra": {
          "label": {
            "from": "label"
          },
          "relation": {
            "from": "relation"
          },
          "subj": {
            "from": "subj"
          },
          "obj": {
            "from": "obj"
          },
          "source_image": {
            "from": "source_image"
          },
          "image_link": {
            "from": "image_link"
          }
        },
        "source": {
          "format": "huggingface",
          "url": {
            "test": "https://huggingface.co/datasets/cambridgeltl/vsr_zeroshot"
          }
        }
      }
    }
  }
}