Shouninger/ScamBench

SCAMBENCH: A Multi-Perspective Benchmark for Online Scam Communication SCAMBENCH is a dataset for studying online scam communication, scam detection, and model robustness. It contains real-world scam messages curated from victim-reported incidents, along with non-scam counterparts and structured annotations. The dataset is introduced in our paper: SCAMBENCH: A Multi-Perspective Benchmark for Analyzing and Evaluating Online Scam Communication Dataset Overview… See the full description on the dataset page: https://huggingface.co/datasets/Shouninger/ScamBench.