| { | |
| "name": "OK-VQA", | |
| "release_date": "2024-01-01", | |
| "subsets": { | |
| "main": { | |
| "language": [ | |
| "en" | |
| ], | |
| "modalities": [ | |
| "single_image_start" | |
| ], | |
| "task_type": "short_answer_qa", | |
| "score_type": "vqa_accuracy", | |
| "score_protocol": { | |
| "reference": "lmms-eval@lmms_eval/tasks/ok_vqa/utils.py:13-36 (ok_vqa_process_results) verified: EvalAIAnswerProcessor normalization then acc=min(1,#matches/3) averaged over the 10-answer list. Published answer maps from source `answers` (10-item list) — confirmed retained in rows.", | |
| "note": "Fractional per-sample VQA accuracy averaged over held-out-one of 10 reference answers; headline is mean over samples." | |
| }, | |
| "prompt_template": "<image>{{ question }}\nAnswer the question using a single word or phrase.", | |
| "mapping_from_source": { | |
| "media": { | |
| "from": "image", | |
| "type": "list", | |
| "min_items": 1, | |
| "max_items": 1 | |
| }, | |
| "id": { | |
| "from": "question_id" | |
| }, | |
| "question": { | |
| "from": "question" | |
| }, | |
| "answer": { | |
| "from": "answers", | |
| "optional": true | |
| }, | |
| "source": { | |
| "format": "huggingface", | |
| "url": { | |
| "val2014": "https://huggingface.co/datasets/lmms-lab/OK-VQA" | |
| } | |
| } | |
| }, | |
| "prompt_template_source": { | |
| "origin": "official", | |
| "reference": "https://github.com/EvolvingLMMs-Lab/lmms-eval/blob/main/lmms_eval/tasks/ok_vqa/utils.py (ok_vqa_doc_to_text — canonical short-answer)", | |
| "notes": "Tier 4: lmms-eval OK-VQA canonical evaluation prompt." | |
| } | |
| } | |
| } | |
| } | |