Datasets:
scenario_id string | pressure float64 | drift_gradient float64 | feedback_gain float64 | correction_amplitude float64 | boundary_distance float64 | label_oscillatory_instability int64 |
|---|---|---|---|---|---|---|
OE01 | 0.82 | 0.45 | 0.91 | 0.88 | 0.22 | 1 |
OE02 | 0.77 | 0.41 | 0.86 | 0.83 | 0.26 | 1 |
OE03 | 0.74 | 0.38 | 0.84 | 0.79 | 0.29 | 1 |
OE04 | 0.69 | 0.32 | 0.81 | 0.76 | 0.34 | 1 |
OE05 | 0.64 | 0.28 | 0.75 | 0.71 | 0.39 | 1 |
OE06 | 0.51 | -0.12 | 0.41 | 0.36 | 0.71 | 0 |
OE07 | 0.47 | -0.18 | 0.38 | 0.34 | 0.74 | 0 |
OE08 | 0.42 | -0.22 | 0.35 | 0.31 | 0.79 | 0 |
OE09 | 0.38 | -0.27 | 0.29 | 0.27 | 0.83 | 0 |
OE10 | 0.34 | -0.31 | 0.24 | 0.22 | 0.87 | 0 |
OE — Oscillatory Instability Probe
This dataset is a periodic-table probe designed to detect oscillatory instability in complex systems.
Oscillatory instability occurs when corrective feedback overshoots system equilibrium, producing unstable cycles that amplify disturbances rather than dampening them.
The probe tests whether models can recognize the structural conditions that produce this behavior.
Geometry Symbol
OE
Oscillatory Instability
Family: Control Oscillation Failures
Mechanism
Oscillatory instability emerges when corrective actions interact with system pressure and feedback gain in a way that produces unstable oscillations.
Common features include:
- strong feedback gain
- large correction amplitude
- positive drift toward instability
- decreasing boundary distance
Signals
pressure
overall system stress
drift_gradient
direction of system trajectory
feedback_gain
strength of corrective response
correction_amplitude
magnitude of intervention adjustments
boundary_distance
distance to instability threshold
Prediction Target
label_oscillatory_instability
1 = unstable oscillatory regime forming
0 = stable or damped system behavior
Row Structure
Each row represents a system snapshot.
Signals are normalized between 0 and 1.
Higher values generally indicate stronger instability forces.
Files
data/train.csv
data/tester.csv
scorer.py
Evaluation
Predictions must contain:
scenario_id
prediction
Metrics reported:
accuracy
precision
recall
f1
Instability Geometry Probes
This dataset is part of a broader library of instability geometry probes:
CC — Cascade Collapse
BE — Buffer Exhaustion
DF — Delayed Feedback
OE — Oscillatory Instability
These probes collectively map fundamental instability patterns across complex systems.
License
MIT
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