{
  "name": "PathVQA",
  "release_date": "2003-03-30",
  "subsets": {
    "main": {
      "language": [
        "en"
      ],
      "modalities": [
        "single_image_start"
      ],
      "task_type": "yes_no_qa",
      "score_pipeline": [
        "exact-match",
        "rule-match",
        "llm-judge"
      ],
      "score_protocol": {
        "reference": "VLMEvalKit@vlmeval/dataset/image_shortqa.py:144-160 (PathVQA_VAL/PathVQA_TEST -> ImageShortQADataset.evaluate, lines 87-142) verified: grades short answers with an LLM judge (build_judge default gpt-4o-mini via Comprehensive_auxeval / ShortQA_auxeval line 15), with exact_matching fallback when model=='exact_matching' or the API is down. Returns binary correctness (report_acc).",
        "note": "Official/standard med-VQA reports closed-ended (yes/no) accuracy plus open-ended token-recall/F1; VLMEvalKit ships an LLM-judge correctness grader. Modeled here as rule_llm_judge: deterministic exact match resolves closed yes/no rows, LLM judge grades open answers. Token-F1 open metric is not reproduced per-sample."
      },
      "prompt_template": "<image>{{ question }}\nPlease directly provide a short answer to the question. ",
      "mapping_from_source": {
        "media": {
          "from": "image",
          "type": "list",
          "min_items": 1,
          "max_items": 1
        },
        "id": {
          "from": "-"
        },
        "question": {
          "from": "question"
        },
        "answer": {
          "from": "answer",
          "optional": true
        },
        "source": {
          "format": "huggingface",
          "url": {
            "train": "https://huggingface.co/datasets/flaviagiammarino/path-vqa",
            "validation": "https://huggingface.co/datasets/flaviagiammarino/path-vqa",
            "test": "https://huggingface.co/datasets/flaviagiammarino/path-vqa"
          }
        }
      },
      "prompt_template_source": {
        "origin": "official",
        "reference": "VLMEvalKit vlmeval/dataset/image_shortqa.py#L80-L84 (ImageShortQADataset.build_prompt, byte-verified in clone; PathVQA registered as ShortQA)",
        "notes": "Tier 3: VLMEvalKit ShortQA trailer (with its official trailing space). Fixed 2026-07-07 (previous LLaVA-1.5-style trailer matched no source; LLaVA-Med feeds the raw question but is a model harness, not a benchmark prompt spec)."
      }
    }
  }
}