ClarusC64/BE-buffer-exhaustion-probe-v1

--- language: en license: mit task_categories: - tabular-classification tags: - stability-intelligence - instability-geometry - buffer-exhaustion - clarus size_categories: - n<1K pretty_name: Geometry - Buffer Exhaustion Detection v1 --- # What this dataset tests This dataset tests whether a model can recognize instability caused by buffer exhaustion from a compact state-space snapshot. # Core instability geometry Buffer exhaustion occurs when system load rises while protective capacity is steadily depleted. Collapse occurs when remaining buffers are insufficient to absorb further strain. # Prediction target `label_buffer_exhaustion` 1 = instability due to buffer exhaustion 0 = system remains stable # Row structure Each row represents a system state. Columns scenario_id pressure buffer_capacity drift_gradient boundary_distance recovery_feasibility label_buffer_exhaustion (train only) # Signal definitions pressure Current system load or strain level. buffer_capacity Remaining capacity available to absorb strain. drift_gradient Direction and strength of movement toward instability. boundary_distance Distance from the instability boundary. recovery_feasibility Likelihood the system can return to stability. # Files data/train.csv 10 labeled training rows data/tester.csv 10 unlabeled evaluation rows scorer.py binary classification scorer README.md dataset card # Evaluation Prediction file format scenario_id,prediction Example be_test_001,1 be_test_002,0 Run scorer python scorer.py predictions.csv ground_truth.csv # Why this matters Many complex systems collapse because protective buffers are depleted. Recognizing this geometry is central to stability intelligence. # License MIT