Paper: Towards Generalizable Context-aware Anomaly Detection: A Large-scale Benchmark in Cloud Environments
Project Page:
https://jayzou3773.github.io/cloudanobench-agent/
CloudAnoBench is a large-scale benchmark for context-aware anomaly detection in cloud environments, jointly incorporating both metrics and logs to more faithfully reflect real-world conditions. It consists of 1,252 labeled cases spanning 28 anomalous scenarios and 16 deceptive normal scenarios… See the full description on the dataset page:
https://huggingface.co/datasets/66aaa/CloudAnoBench.