{
  "name": "PuzzleVQA",
  "release_date": "2024-03-21",
  "subsets": {
    "default": {
      "language": [
        "en"
      ],
      "modalities": [
        "single_image_start"
      ],
      "task_type": "multiple_choice_qa",
      "score_pipeline": [
        "exact-match",
        "rule-match"
      ],
      "score_protocol": {
        "reference": "official@github.com/declare-lab/LLM-PuzzleTest PuzzleVQA/main.py — prompter.get_answer parses option from raw output, ExactScorer returns 1.0 iff pred == answer; the only model call in the loop is a second-stage re-prompt of the EVALUATED model itself (inference-side self-extraction), no external judge/extractor LLM. Cross-check: VLMEvalKit@vlmeval/dataset/utils/puzzlevqa.py:85-152 PuzzleVQA_acc — pure regex extraction ('answer: X', boxed, answer-flag phrases), unparseable -> 'Z', per-category accuracy.",
        "note": "Official prompting is two-stage (CoT, then the same model restates the answer); mm-eval prompt asks for the letter directly, so single-stage rule extraction is faithful at scoring time. VLMEvalKit aggregates per-puzzle-category accuracy (20 categories) alongside overall."
      },
      "prompt_template": "<image>{{ question }}\n{% for k, v in options.items() %}{{ k }}. {{ v }}\n{% endfor %}Answer with the option's letter from the given choices directly.",
      "prompt_template_source": {
        "origin": "official",
        "reference": "https://huggingface.co/datasets/declare-lab/PuzzleVQA",
        "notes": "Tier 1: PuzzleVQA is single-image MCQ with options list; answer is the option text. We map answer to the letter for letter-eval convention."
      },
      "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
        },
        "options": {
          "from": "options",
          "optional": true,
          "note": "list source values are normalized to {A,B,...} dict"
        },
        "extra": {
          "n_images": {
            "from": "n_images"
          },
          "category": {
            "from": "category"
          },
          "answer_text": {
            "from": "answer_text"
          }
        },
        "source": {
          "format": "json",
          "url": {
            "train": "https://huggingface.co/datasets/declare-lab/PuzzleVQA"
          }
        }
      }
    }
  }
}