Fun-TSG: A Function-Driven Multivariate Time Series Generator with Variable-Level Anomaly Labeling

“Researchers introduce Fun-TSG, a synthetic data generator designed to overcome limitations in existing anomaly detection datasets through fine-grained labeling and explicit variable dependencies. This advancement enables more rigorous evaluation and comparison of anomaly detection models, addressing a significant bottleneck in developing reliable AI systems for time series analysis.”