ClarusC64/aviation-propulsion-aerodynamics-failure-horizon-intervention-mapping-v0.1
What this dataset tests Whether a system can turn detected decoherence into an operational action plan. It must estimate horizon, choose intervention, and define the decision window. Required outputs failure_horizon_minutes recommended_derate_level diversion_priority stability_recovery_probability intervention_window action_rationale_channels Scoring conventions horizon is minutes to critical instability diversion priority is low, medium, high, or urgent intervention window is… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/aviation-propulsion-aerodynamics-failure-horizon-intervention-mapping-v0.1.
What this dataset tests
Whether a system can turn detected decoherence into an operational action plan.
It must estimate horizon, choose intervention, and define the decision window.
Required outputs
- failurehorizonminutes
- recommendedderatelevel
- diversion_priority
- stabilityrecoveryprobability
- intervention_window
- actionrationalechannels
Scoring conventions
- horizon is minutes to critical instability
- diversion priority is low, medium, high, or urgent
- intervention window is a measurable time bound
- rationale channels cite the decoupling relations, e.g. EGT->IAS lag
Use case
Layer three of Propulsion–Aerodynamics Coupling Decoherence Signatures.
Supports:
- early diversion decisions
- de-rate guidance to reduce stress
- separation of sensor fault vs true failure risk