| { | |
| "name": "VisIT-Bench", | |
| "release_date": "2023-11-09", | |
| "subsets": { | |
| "default": { | |
| "language": [ | |
| "en" | |
| ], | |
| "modalities": [ | |
| "single_image_start" | |
| ], | |
| "task_type": "judge_scored", | |
| "prompt_template": "<image>{{ question }}", | |
| "prompt_template_source": { | |
| "origin": "official", | |
| "reference": "https://huggingface.co/datasets/mlfoundations/VisIT-Bench", | |
| "notes": "Tier 1: VisIT-Bench is judge-scored open-ended instruction-following over real images. Per paper, evaluator is an LLM judge that compares model output to reference_response (gpt4_prediction column); we store the reference as both `answer` (for exact-match-style storage compatibility) and `reference_response` (canonical judge field)." | |
| }, | |
| "mapping_from_source": { | |
| "media": { | |
| "from": "images", | |
| "type": "list", | |
| "min_items": 1, | |
| "max_items": 1 | |
| }, | |
| "id": { | |
| "from": "id" | |
| }, | |
| "question": { | |
| "from": "question" | |
| }, | |
| "answer": { | |
| "from": "answer", | |
| "optional": true | |
| }, | |
| "extra": { | |
| "n_images": { | |
| "from": "n_images" | |
| }, | |
| "reference_response": { | |
| "from": "reference_response" | |
| }, | |
| "instruction_conditioned_caption": { | |
| "from": "instruction_conditioned_caption" | |
| }, | |
| "instruction_category": { | |
| "from": "instruction_category" | |
| }, | |
| "judge_type": { | |
| "from": "judge_type" | |
| } | |
| }, | |
| "source": { | |
| "format": "json", | |
| "url": { | |
| "test": "https://huggingface.co/datasets/mlfoundations/VisIT-Bench" | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } |