| { | |
| "name": "MMT-Bench", | |
| "release_date": "2026-05-26", | |
| "subsets": { | |
| "main": { | |
| "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:81-85,249-318 (MMT-Bench served by ImageMCQDataset.evaluate -> mcq_vanilla_eval; report_acc_MMT at :317-318) + vlmeval/dataset/utils/multiple_choice.py:359-406,475-508 — rule prefetch via can_infer (option letter / unique option-text), GPT extraction fallback, exact letter compare. Official MMT-Bench (OpenGVLab) evaluates via VLMEvalKit.", | |
| "note": "Official headline aggregation is report_acc_MMT: accuracy grouped by category/l2_category (per-sample scorer yields overall accuracy only). mm-eval publishes the VAL split (3126 rows). lmms-eval mmt uses rule-only MMMU-style parsing (no GPT fallback) — VLMEvalKit protocol preferred as the authors' official harness." | |
| }, | |
| "prompt_template": "{% for _ in range(n_images) %}<image>{% endfor %}{{ question }}\nOptions:\n{% for k, v in options.items() %}{{ k }}. {{ v }}\n{% endfor %}Please select the correct answer from the options above. ", | |
| "mapping_from_source": { | |
| "media": { | |
| "from": "images", | |
| "type": "list", | |
| "min_items": 1, | |
| "max_items": 23 | |
| }, | |
| "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": { | |
| "source_id": { | |
| "from": "source_id" | |
| }, | |
| "category": { | |
| "from": "category" | |
| }, | |
| "l2_category": { | |
| "from": "l2_category" | |
| }, | |
| "n_images": { | |
| "from": "n_images" | |
| } | |
| }, | |
| "source": { | |
| "format": "json", | |
| "url": { | |
| "val": "https://huggingface.co/datasets/Kaining/MMT-Bench" | |
| } | |
| } | |
| }, | |
| "prompt_template_source": { | |
| "origin": "official", | |
| "reference": "https://github.com/EvolvingLMMs-Lab/lmms-eval/blob/main/lmms_eval/tasks/mmt/utils.py#L40-L55 (mmt_doc_to_text — multi-image MCQ with 'Question:/Options:/A./B./Please select the correct answer from the options above. ' format)", | |
| "notes": "Tier 4: lmms-eval MMT-Bench canonical evaluation prompt." | |
| } | |
| } | |
| } | |
| } |