| { | |
| "name": "A-OKVQA", | |
| "release_date": "2022-08-03", | |
| "subsets": { | |
| "main": { | |
| "language": [ | |
| "en" | |
| ], | |
| "modalities": [ | |
| "single_image_start" | |
| ], | |
| "task_type": "multiple_choice_qa", | |
| "score_type": "rule", | |
| "score_protocol": { | |
| "reference": "official@github.com/allenai/aokvqa evaluation/eval_predictions.py — MC metric: acc = float(pred == choices[correct_choice_idx]); exact-match of the chosen option string, no LLM/fuzzy.", | |
| "note": "A-OKVQA officially has TWO settings — direct-answer (VQA-accuracy, 10 refs) and multiple-choice. The mm-eval copy ships the MULTIPLE-CHOICE setting (choices A-D, single gold letter), so this classifies the MC exact-match protocol, not the DA vqa_accuracy protocol." | |
| }, | |
| "prompt_template": "<image>{% if hint %}Hint: {{ hint }}\n{% endif %}Question: {{ 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": "image", | |
| "type": "list", | |
| "min_items": 1, | |
| "max_items": 1 | |
| }, | |
| "id": { | |
| "from": "id" | |
| }, | |
| "question": { | |
| "from": "question" | |
| }, | |
| "answer": { | |
| "from": "answer", | |
| "optional": true | |
| }, | |
| "options": { | |
| "from": "choices", | |
| "optional": true, | |
| "note": "list source values are normalized to {A,B,...} dict" | |
| }, | |
| "extra": { | |
| "rationales": { | |
| "from": "rationales" | |
| } | |
| }, | |
| "source": { | |
| "format": "huggingface", | |
| "url": { | |
| "validation": "https://huggingface.co/datasets/HuggingFaceM4/A-OKVQA" | |
| } | |
| } | |
| }, | |
| "prompt_template_source": { | |
| "origin": "official", | |
| "reference": "https://github.com/open-compass/VLMEvalKit/blob/main/vlmeval/dataset/image_mcq.py#L212-L247 (ImageMCQDataset.build_prompt; dataset key 'A-OKVQA' registered at image_mcq.py#L113)", | |
| "notes": "Tier 3: dataset authors publish no VLM model-input prompt (allenai/aokvqa ships only a text-only GPT-3 few-shot prompt, gpt3/query_gpt3.py#L72-L76, and classifier-based transfer experiments); VLMEvalKit registers A-OKVQA under the generic MCQ handler whose Hint:/Question:/Options:/'Please select the correct answer from the options above. ' output the published template reproduces byte-for-byte." | |
| } | |
| } | |
| } | |
| } | |