| { |
| "name": "VisIT-Bench", |
| "release_date": "2023-11-09", |
| "subsets": { |
| "default": { |
| "language": [ |
| "en" |
| ], |
| "modalities": [ |
| "single_image_start" |
| ], |
| "task_type": "open_ended_qa", |
| "score_pipeline": [ |
| "llm-judge" |
| ], |
| "score_params": { |
| "rubric": "binary", |
| "official_judge_model": "gpt-4", |
| "judge_inputs": [ |
| "instruction_conditioned_caption" |
| ] |
| }, |
| "score_protocol": { |
| "reference": "Official repo https://github.com/mlfoundations/VisIT-Bench — GPT-4 (reference-free) pairwise judge run in both orderings; leaderboard = Elo ratings + headline win rate vs the GPT-4 reference response (gpt4_prediction). README re-verified 2026-07-07: 'reference-free GPT-4 as an evaluator', 'elo ratings and the win-rate-against reference', two judgements per battle aggregated. Not implemented in VLMEvalKit or lmms-eval.", |
| "note": "Official headline = win rate vs the GPT-4 reference (plus Elo over multi-model battles), aggregated from both-ordering pairwise judgments — no per-sample absolute rubric exists officially. The mm-eval copy stores the GPT-4 reference as both `answer` and extra.reference_response, enabling per-instance judge-vs-reference grading (rubric=binary: model response wins/ties vs reference), which is an approximation of the win-rate headline; Elo is not reproducible per-sample." |
| }, |
| "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" |
| } |
| } |
| } |
| } |
| } |
| } |
