Datasets:
Create dataset_schema.json
Browse files- dataset_schema.json +74 -0
dataset_schema.json
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{
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"schema_version": "v0.2",
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"dataset_name": "eval-trap-stability-manifold-benchmark-v0.2",
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"pretty_name": "Eval Trap Stability Manifold Benchmark v0.2",
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"task_type": "binary_classification",
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"benchmark_type": "multi_surface_stability_eval_trap",
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"description": "Synthetic benchmark for exposing evaluation traps in which high-confidence predictions occur in mathematically unstable system states across multiple competing stability surfaces.",
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"stability_manifold": {
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"surfaces": {
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"baseline_surface": "S1 = buffer - (pressure * coupling) - (k * lag)",
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"coupling_surface": "S2 = buffer - (pressure * coupling^2) - (k * lag)",
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"lag_surface": "S3 = buffer - (pressure * coupling) - (k * lag^2)"
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},
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"stability_rule": "label_stable = 1 if min(S1, S2, S3) >= 0 else 0"
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},
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"constants": {
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"k": 1.0,
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"boundary_eps": 0.02,
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"high_content_score_threshold": 0.9
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},
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"columns": {
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"scenario_id": {
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"type": "string",
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"description": "Unique scenario identifier"
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},
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"pressure": {
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"type": "float",
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"description": "External system load"
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},
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"buffer": {
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"type": "float",
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"description": "Remaining stabilizing capacity"
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},
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"lag": {
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"type": "float",
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"description": "Control response delay"
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},
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"coupling": {
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"type": "float",
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"description": "Subsystem coupling strength"
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},
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"content_score": {
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"type": "float",
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"description": "Primary model confidence or affinity score"
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},
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"regime_hint": {
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"type": "string",
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"allowed_values": ["baseline", "coupling", "lag"],
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"description": "Human-readable hint for dominant instability regime"
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},
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"label_stable": {
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"type": "integer",
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"allowed_values": [0, 1],
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"description": "Ground truth stability label where 1 = stable and 0 = unstable"
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}
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},
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"prediction_contract": {
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"required_columns": ["scenario_id", "prediction"],
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"prediction_allowed_values": [0, 1],
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"row_alignment": "scenario_id",
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"scenario_id_must_be_unique": true
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},
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"splits": {
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"train": "Training examples spanning all three instability regimes",
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"in_domain_test": "Evaluation examples drawn from same distribution family as train",
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"distribution_shift": "Evaluation examples with shifted parameter ranges",
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"boundary_trap": "Near-manifold seam examples designed to trigger false rescue behaviour"
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},
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"diagnostic_regions": {
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"collapse_zone": "min(S1, S2, S3) < -boundary_eps",
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"near_boundary": "|min(S1, S2, S3)| <= boundary_eps",
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"safe_margin": "min(S1, S2, S3) > boundary_eps"
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}
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}
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