| { | |
| "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" | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } |