{
  "name": "LEGO-Puzzles",
  "release_date": "2025-03-25",
  "subsets": {
    "default": {
      "language": [
        "en"
      ],
      "modalities": [
        "multi_image_start"
      ],
      "task_type": "multiple_choice_qa",
      "score_pipeline": [
        "rule-match",
        "llm-match"
      ],
      "score_protocol": {
        "reference": "VLMEvalKit@vlmeval/dataset/image_mcq.py:1614-1695 (class LEGO(ImageMCQDataset), official harness of the authors) + vlmeval/dataset/utils/multiple_choice.py:359-406 (extract_answer_from_item uses can_infer_lego rule prefetch, GPT fallback via build_prompt_LEGO:321-344) + vlmeval/utils/matching_util.py:130-136 (can_infer_lego: question_type 'sort' -> permutation-sequence inference, else option-letter inference).",
        "note": "Mixed row types: ~10/11 tasks are single-letter MCQ (question_type 'multiple-choice'), the Ordering task rows are question_type 'sort' with a 4-letter permutation answer (e.g. 'BDAC') compared as a full sequence. Published prompt_template appends \"Answer with the option's letter from the given choices directly.\" to ALL rows, whereas VLMEvalKit uses a sort-specific instruction (\"respond with only the sequence of letters (e.g., 'BDAC')\") for sort rows — published sort prompts diverge from official. Published per-row question_type values ('multiple-choice'/'sort') are outside the scorer vocabulary."
      },
      "prompt_template": "{% for _ in range(n_images) %}<image>{% endfor %}{{ question }}\nA. {{ options.A }}\nB. {{ options.B }}\nC. {{ options.C }}{% if options.D %}\nD. {{ options.D }}{% endif %}{% if options.E %}\nE. {{ options.E }}{% endif %}\nAnswer with the option's letter from the given choices directly.",
      "prompt_template_source": {
        "origin": "official",
        "reference": "https://huggingface.co/datasets/KexianTang/LEGO-Puzzles",
        "notes": "Tier 1: LEGO-Puzzles MCQ A-E (D/E often empty). Image column has mixed encoding: single rows store bare base64, multi rows store stringified list; preprocessor handles both."
      },
      "mapping_from_source": {
        "media": {
          "from": "images",
          "type": "list",
          "min_items": 1,
          "max_items": 8
        },
        "id": {
          "from": "id"
        },
        "question": {
          "from": "question"
        },
        "answer": {
          "from": "answer",
          "optional": true
        },
        "extra": {
          "n_images": {
            "from": "n_images"
          },
          "category": {
            "from": "category"
          },
          "question_type": {
            "from": "question_type"
          },
          "A": {
            "from": "A"
          },
          "B": {
            "from": "B"
          },
          "C": {
            "from": "C"
          },
          "D": {
            "from": "D"
          },
          "E": {
            "from": "E"
          }
        },
        "source": {
          "format": "json",
          "url": {
            "train": "https://huggingface.co/datasets/KexianTang/LEGO-Puzzles"
          }
        }
      }
    }
  }
}