ritanibar/BRAVO

BRAVO Bench This study introduces BRAVO (Building Regulation Answering & Visual Observation) Bench, the first benchmark designed to evaluate the capability of Multimodal Large Language Models (MLLMs) to perform compliance checking based on BIM-derived scenes. BRAVO Bench integrates 26 BIM-scenes, 59 textual normative provisions, and 5 regulatory illustrations, producing 1505 question–answer pairs across four diagnostic layers: scene perception, scene understanding, rule… See the full description on the dataset page: https://huggingface.co/datasets/ritanibar/BRAVO.