This dataset evaluates whether machine learning models can detect shock cascade boundary transitions using both system state and system trajectory.
Earlier Clarus datasets in the v0.1 series tested whether models could classify system state alone.
Clarus v0.2 datasets add a trajectory signal so models must determine not only where the system is, but where it is moving inside state space.
This benchmark therefore tests whether models can read trajectory inside… See the full description on the dataset page:
https://huggingface.co/datasets/ClarusC64/clinical-five-node-shock-cascade-boundary-v0.2.
