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"schema_version": 1,
"task_family": "deployment_prediction_set_audit",
"n_calibration": 4939,
"n_deployment": 5911,
"n_labels": 9,
"n_features": 10,
"record_id_column": "record_id",
"label_columns": [
"label_00",
"label_01",
"label_02",
"label_03",
"label_04",
"label_05",
"label_06",
"label_07",
"label_08"
],
"feature_columns": [
"v000",
"v001",
"v002",
"v003",
"v004",
"v005",
"v006",
"v007",
"v008",
"v009"
],
"score_columns_are_probabilities": true,
"public_files": [
"data/metadata.json",
"data/risk_spec.json",
"data/calibration_scores.csv",
"data/calibration_labels.csv",
"data/calibration_features.csv",
"data/deployment_scores.csv",
"data/deployment_features.csv"
],
"output_files": [
"analysis.py",
"results/prediction_sets.csv",
"results/policy_parameters.csv",
"results/audit_summary.csv",
"results/set_size_summary.csv",
"results/partition_diagnostics.csv",
"results/distribution_diagnostics.csv",
"results/calibration_diagnostics.csv",
"results/constraint_audit.csv",
"results/set_size_tradeoff.png",
"results/partition_audit.png",
"results/score_diagnostics.png"
],
"output_schemas": {
"results/prediction_sets.csv": [
"record_id",
"prediction_set"
],
"results/policy_parameters.csv": [
"proxy_stratum",
"label",
"n_calibration",
"n_calibration_label",
"threshold",
"group_empirical_weighted_miss_risk",
"group_upper_confidence_risk",
"group_expected_set_size",
"calibration_target_risk",
"target_risk"
],
"results/audit_summary.csv": [
"scope",
"stratum_id",
"n_records",
"empirical_risk",
"mean_set_size",
"p90_set_size",
"target_risk",
"risk_violation"
],
"results/set_size_summary.csv": [
"record_id",
"set_size",
"proxy_stratum"
],
"results/partition_diagnostics.csv": [
"scope",
"stratum_id",
"n_records",
"empirical_risk",
"mean_set_size",
"p90_set_size",
"target_risk",
"risk_margin"
],
"results/distribution_diagnostics.csv": [
"proxy_stratum",
"calibration_fraction",
"deployment_fraction",
"density_ratio_estimate",
"absolute_fraction_shift"
],
"results/calibration_diagnostics.csv": [
"proxy_stratum",
"bin_id",
"score_left",
"score_right",
"n_records",
"mean_true_label_score"
],
"results/constraint_audit.csv": [
"scope",
"stratum_id",
"empirical_risk",
"target_risk",
"risk_violation",
"violates"
]
},
"output_semantics": {
"results/policy_parameters.csv": {
"threshold": "Numeric probability cutoff in [0, 1]. Include multiple rows when the policy uses recovered groups or label-specific thresholds.",
"proxy_stratum": "Identifier for the public or recovered group used by the policy. Use a consistent value across policy and diagnostic files."
},
"results/audit_summary.csv": {
"scope": "Include one deployment-wide row with scope='overall'. Include public or recovered subgroup rows with a scope value containing 'stratum' or 'group', such as 'proxy_stratum' or 'recovered_group'. Do not use hidden deployment labels or reference-only strata.",
"stratum_id": "Use 'all' for the overall row and a stable public/recovered group identifier for subgroup rows.",
"empirical_risk": "Numeric estimated weighted miss risk for the corresponding scope."
},
"results/set_size_summary.csv": {
"record_id": "Deployment record id.",
"set_size": "Number of valid labels listed in the submitted prediction_set for that record.",
"proxy_stratum": "Public or recovered group id used by the policy, if applicable."
},
"results/partition_diagnostics.csv": {
"scope": "Use public or recovered grouping scopes containing 'stratum' or 'group', such as 'proxy_stratum' or 'recovered_group'.",
"risk_margin": "Numeric target_risk minus estimated empirical_risk for the row."
},
"results/distribution_diagnostics.csv": {
"proxy_stratum": "Public or recovered group id.",
"calibration_fraction": "Fraction of calibration records assigned to this group; fractions should sum to approximately 1 across rows.",
"deployment_fraction": "Fraction of deployment records assigned to this group; fractions should sum to approximately 1 across rows.",
"density_ratio_estimate": "Deployment fraction divided by calibration fraction, with a stable convention for small calibration fractions."
},
"results/calibration_diagnostics.csv": {
"bin_id": "Stable bin identifier within each public or recovered group.",
"n_records": "Number of calibration records in the bin.",
"mean_true_label_score": "Numeric mean classifier score assigned to the true calibration label in the bin."
},
"results/constraint_audit.csv": {
"scope": "Use the same scope convention as audit_summary.csv: include 'overall' and public/recovered subgroup scopes containing 'stratum' or 'group'.",
"violates": "Boolean-like indicator for whether empirical_risk exceeds target_risk."
}
},
"notes": [
"Deployment labels are intentionally hidden.",
"The anonymous features and score tables may contain information useful for choosing a nontrivial policy.",
"The scoring target is risk control with small prediction sets, not exact matching to a single reference file."
]
} |