| { | |
| "name": "Q-Bench-Plus", | |
| "release_date": "2024-04-15", | |
| "subsets": { | |
| "default": { | |
| "language": [ | |
| "en" | |
| ], | |
| "modalities": [ | |
| "multi_image_start" | |
| ], | |
| "task_type": "multiple_choice_qa", | |
| "score_pipeline": [ | |
| "rule-match", | |
| "llm-match" | |
| ], | |
| "score_protocol": { | |
| "reference": "official paper@arXiv:2402.07116 (Q-Bench+) — GPT-assisted evaluation matches the model's MCQ answer to the choices, with 5-round voting (raises match accuracy 93.2%->98.4%). Cross-check: lmms-eval@lmms_eval/tasks/qbench/qbench2_dev.yaml + utils.py:42-100,103-119 — rule-only MMMU-style parse then exact compare; VLMEvalKit hosts the sibling Q-Bench1/A-Bench as ImageMCQDataset (image_mcq.py:89-94) = rule prefetch + GPT extraction.", | |
| "note": "Official uses 5-round GPT voting for answer matching; our llm_extract chain does rule prefetch + single-pass LLM extraction. lmms-eval variant is rule-only and falls back to a RANDOM choice when unparseable (not reproduced). Published copy = dev split (public-labeled), options stored as extra fields option0-option3 with 'N/A' padding possible." | |
| }, | |
| "prompt_template": "{% for _ in range(n_images) %}<image>{% endfor %}{{ question }}\nA. {{ options.option0 }}\nB. {{ options.option1 }}\nC. {{ options.option2 }}\nD. {{ options.option3 }}\nAnswer with the option's letter from the given choices directly.", | |
| "prompt_template_source": { | |
| "origin": "official", | |
| "reference": "https://huggingface.co/datasets/q-future/Q-Bench2-HF", | |
| "notes": "Tier 1: Q-Bench2 (Q-Bench+) paired-image quality MCQ; dev split is the public-labeled split." | |
| }, | |
| "mapping_from_source": { | |
| "media": { | |
| "from": "images", | |
| "type": "list", | |
| "min_items": 2, | |
| "max_items": 2 | |
| }, | |
| "id": { | |
| "from": "id" | |
| }, | |
| "question": { | |
| "from": "question" | |
| }, | |
| "answer": { | |
| "from": "answer", | |
| "optional": true | |
| }, | |
| "extra": { | |
| "n_images": { | |
| "from": "n_images" | |
| }, | |
| "option0": { | |
| "from": "option0" | |
| }, | |
| "option1": { | |
| "from": "option1" | |
| }, | |
| "option2": { | |
| "from": "option2" | |
| }, | |
| "option3": { | |
| "from": "option3" | |
| }, | |
| "question_type": { | |
| "from": "question_type" | |
| }, | |
| "question_concern": { | |
| "from": "question_concern" | |
| } | |
| }, | |
| "source": { | |
| "format": "json", | |
| "url": { | |
| "dev": "https://huggingface.co/datasets/q-future/Q-Bench2-HF" | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } |