{
 "name": "AlgoPuzzleVQA",
 "release_date": "2024-03-21",
 "subsets": {
  "default": {
   "language": [
    "en"
   ],
   "modalities": [
    "single_image_start"
   ],
   "task_type": "multiple_choice_qa",
   "score_type": "rule",
   "score_protocol": {
    "reference": "official@github.com/declare-lab/LLM-PuzzleTest (AlgoPuzzleVQA shares the PuzzleVQA harness: main.py rule parse + ExactScorer exact match; no external LLM extractor/judge). Published rows confirm letter answers with options dict (e.g. answer 'B', options {A: Yes, B: No}).",
    "note": "Official prompting is two-stage self-extraction by the evaluated model; scoring itself is rule-based exact match."
   },
   "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/AlgoPuzzleVQA",
    "notes": "Tier 1: AlgoPuzzleVQA single-image algorithmic-puzzle MCQ; options list, answer is option text mapped to letter."
   },
   "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"
     },
     "answer_text": {
      "from": "answer_text"
     }
    },
    "source": {
     "format": "json",
     "url": {
      "data": "https://huggingface.co/datasets/declare-lab/AlgoPuzzleVQA"
     }
    }
   }
  }
 }
}