| { | |
| "name": "NExT-QA", | |
| "release_date": "2021-05-01", | |
| "subsets": { | |
| "mc": { | |
| "language": [ | |
| "en" | |
| ], | |
| "modalities": [ | |
| "single_video_start" | |
| ], | |
| "task_type": "multiple_choice_vqa", | |
| "prompt_template": "<video>{{ question }}\n{% for k, v in options.items() %}{{ k }}. {{ v }}\n{% endfor %}Answer with the option's letter from the given choices directly.", | |
| "video_storage": { | |
| "format": "files", | |
| "media_root": "videos", | |
| "notes": "1,000 videos from VidOR dataset (out of 1,570 total in source). MC test split: 8,564 QA pairs across causal, temporal, and descriptive types." | |
| }, | |
| "mapping_from_source": { | |
| "source": { | |
| "format": "huggingface", | |
| "url": { | |
| "train": "https://huggingface.co/datasets/lmms-lab/NExTQA" | |
| } | |
| }, | |
| "id": { | |
| "from": "video+qid", | |
| "note": "Composite key MC_{video_id}_{qid}" | |
| }, | |
| "question": { | |
| "from": "question" | |
| }, | |
| "options": { | |
| "from": "a0-a4", | |
| "note": "5 choices normalized to {A,...,E} dict" | |
| }, | |
| "answer": { | |
| "from": "answer", | |
| "note": "Integer index converted to letter" | |
| }, | |
| "media": { | |
| "from": "video", | |
| "type": "list", | |
| "min_items": 1, | |
| "max_items": 1 | |
| }, | |
| "extra": { | |
| "video_id": { | |
| "from": "video" | |
| }, | |
| "question_type": { | |
| "from": "type" | |
| } | |
| } | |
| }, | |
| "prompt_template_source": { | |
| "origin": "official", | |
| "reference": "https://github.com/EvolvingLMMs-Lab/lmms-eval/blob/main/lmms_eval/tasks/nextqa/utils.py (nextqa_mc_doc_to_text — A./B./C./D./E. options + 'Answer with the option's letter from the given choices directly.')", | |
| "notes": "Tier 4: lmms-eval NExT-QA MC canonical evaluation prompt." | |
| } | |
| } | |
| } | |
| } |