{ "name": "EndoBench", "release_date": "2026-07-07", "subsets": { "main": { "language": [ "en" ], "modalities": [ "single_image_start" ], "task_type": "multiple_choice_qa", "score_pipeline": [ "rule-match", "llm-match" ], "score_protocol": { "reference": "official@arXiv:2505.23601 / github.com/CUHK-AIM-Group/EndoBench (evaluated via VLMEvalKit) — MCQ evaluation extracts the selected option by string matching first, and if that fails an LLM (GPT) is prompted to extract the chosen option (VLMEvalKit rule-first, LLM-extract fallback).", "note": "MCQ over up to 6 options (A-F, variable per row; A/B always present). Gold answer is the option letter. Re-converted 2026-07-07 to restore the options block (source columns A-F) and an MCQ prompt that were missing in the first published copy." }, "prompt_template": "Question: {{ question }}\nOptions:\n{% for k, v in options.items() %}{{ k }}. {{ v }}\n{% endfor %}Please select the correct answer from the options above. \n", "prompt_template_source": { "origin": "official", "reference": "https://github.com/open-compass/VLMEvalKit/blob/main/vlmeval/dataset/image_mcq.py (ImageMCQDataset.build_prompt: Question + 'Options:' block + 'Please select the correct answer from the options above.')", "notes": "Tier 3: EndoBench's official repo (github.com/CUHK-AIM-Group/EndoBench) evaluates via VLMEvalKit (run.py --data EndoBench); VLMEvalKit ImageMCQDataset.build_prompt is the canonical MCQ prompt. Dataset authors publish no standalone model-input prompt string." }, "mapping_from_source": { "source": { "format": "huggingface", "url": { "test": "https://huggingface.co/datasets/Saint-lsy/EndoBench" } }, "id": { "from": "index" }, "question": { "from": "question" }, "choices": [ { "key": "A", "from": "A" }, { "key": "B", "from": "B" }, { "key": "C", "from": "C", "optional": true }, { "key": "D", "from": "D", "optional": true }, { "key": "E", "from": "E", "optional": true }, { "key": "F", "from": "F", "optional": true } ], "answer": { "from": "answer", "optional": true, "note": "Option letter (A-F)." }, "media": { "from": "image", "type": "list", "min_items": 1, "max_items": 1 }, "extra": { "category": { "from": "category" }, "task": { "from": "task" } } } } } }