trajectory-divergence-instability-benchmark-v0.1

Trajectory Divergence Instability Benchmark v0.1 Overview This benchmark evaluates whether machine learning systems can detect future collapse by interpreting directional system dynamics rather than static system state. Many real-world systems appear stable when viewed at a single point in time. However, subtle directional signals may indicate that the system is already moving toward instability. This phenomenon occurs in many domains: financial markets approaching… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/trajectory-divergence-instability-benchmark-v0.1.