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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.

Author / organizationpranked03
License (as declared)cc-by-4.0
Downloads357 (as reported by Hugging Face)
Likes4
Created24 October 2024
Last updated at source25 October 2024
danger-assessmentdanger-classificationrisk-assessmenthazard-assessmentindustryhealthcaredanger-metric
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