| { | |
| "name": "VQAv2", | |
| "release_date": "2026-05-26", | |
| "subsets": { | |
| "main": { | |
| "language": [ | |
| "en" | |
| ], | |
| "modalities": [ | |
| "single_image_start" | |
| ], | |
| "task_type": "short_answer_qa", | |
| "score_pipeline": [ | |
| "vqa-accuracy" | |
| ], | |
| "score_protocol": { | |
| "reference": "lmms-eval lmms_eval/tasks/vqav2/utils.py:15-50 (vqav2_process_results) — official VQA accuracy: EvalAIAnswerProcessor punctuation/digit-article normalization on response and each reference, then per-annotator acc=min(1, #matches-among-other-9/3), averaged over the 10-answer list (lines 31-42).", | |
| "note": "Per-sample scores are fractional (multiples of 1/3 capped at 1, averaged over 10 leave-one-out folds). `answer` carries the full 10-reference list from the source `answers` column (annotator dicts {answer, answer_confidence, answer_id} reduced to their `answer` strings, order preserved; answer_confidence/answer_id dropped). The majority-vote `multiple_choice_answer` is preserved as the pass-through field `mc_answer`." | |
| }, | |
| "prompt_template": "<image>{{ question }}\nAnswer the question using a single word or phrase.", | |
| "prompt_template_source": { | |
| "origin": "official", | |
| "reference": "https://github.com/EvolvingLMMs-Lab/lmms-eval/blob/main/lmms_eval/tasks/vqav2/utils.py (vqav2_doc_to_text — canonical short-answer)", | |
| "notes": "Tier 4: lmms-eval VQAv2 canonical evaluation prompt." | |
| }, | |
| "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, | |
| "note": "Source `answers` is a list of 10 {answer, answer_confidence, answer_id} dicts; reduced to the list of 10 `answer` strings (order preserved) during pre-processing." | |
| }, | |
| "extra": { | |
| "mc_answer": { | |
| "from": "multiple_choice_answer" | |
| }, | |
| "image_id": { | |
| "from": "image_id" | |
| }, | |
| "question_type": { | |
| "from": "question_type" | |
| }, | |
| "answer_type": { | |
| "from": "answer_type" | |
| } | |
| }, | |
| "source": { | |
| "format": "huggingface", | |
| "url": { | |
| "validation": "https://huggingface.co/datasets/lmms-lab/VQAv2" | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } |