ceil2/ArenaBench

ArenaBench Dataset Description ArenaBench is a large-scale benchmark designed for comprehensive evaluation of deepfake detection methods. It contains approximately 45K testing samples and evaluates detectors across five levels, including in-domain, cross-model, cross-manipulation, commercial models, and real-world scenarios. Overview Overview of the ArenaBench benchmark. Benchmark Design ArenaBench evaluates deepfake… See the full description on the dataset page: https://huggingface.co/datasets/ceil2/ArenaBench.