pranked03/ViDAS

ViDAS Dataset Abstract We present a novel dataset aimed at advancing danger analysis and assessment by addressing the challenge of quantifying danger in video content and identifying how human-like a Large Language Model (LLM) evaluator is for the same. This is achieved by compiling a collection of 100 YouTube videos featuring various events. Each video is annotated by human participants who provided danger ratings on a scale from 0 (no danger to humans) to 10… See the full description on the dataset page: https://huggingface.co/datasets/pranked03/ViDAS.