ClinAuthBench Schema
This document summarizes the public v1 schema for the Hugging Face release package.
Top-Level Record
{
"id": string,
"title": string,
"metadata": object,
"content": string
}
Top-Level Fields
id: stable synthetic case identifier, such asclin_auth_bench_v1_0001.title: short case title.content: model-facing synthetic chart packet containing repeated 72-hour inpatient documentation forms.metadata: structured benchmark metadata, generation metadata, quality checks, and gold labels.
Metadata Fields
benchmark: benchmark name.version: dataset version.synthetic: boolean synthetic-data marker.privacy_design: short privacy-design description.level_of_care: v1 level-of-care scope.documentation_window_hours: documentation window size.diagnosis_category: synthetic diagnosis family.trajectory: synthetic trajectory descriptor.documentation_challenge: primary documentation challenge.documentation_challenge_tags: more specific challenge tags.mdp_model:rule_based_v1orprobabilistic_v1.mdp_trajectory: synthetic transition trajectory metadata.gold: structured labels for evaluation.quality_checks: deterministic generation quality checks.content_gold_checks: deterministic content/gold consistency checks.
Gold Fields
current_suicide_risk: text label for current risk reasoning.historical_suicide_risk: text label for historical risk reasoning.primary_diagnosis: synthetic primary diagnosis.psychosis_present: boolean.substance_use: list of synthetic substance-use categories.safe_for_lloc: boolean lower-level-of-care readiness label.expected_los_recommendation: expected length-of-stay recommendation label.lower_level_of_care_barriers: list of unresolved barriers.documentation_challenge: primary challenge category.documentation_challenge_tags: challenge tags.key_evidence_forms: forms expected to contain important evidence.evidence_anchors: structured hints linking gold fields to supporting forms.do_not_claim: explicit unsupported claims the model should avoid.form_count: number of rendered forms in the chart packet.
Documentation Challenge Values
current_vs_historical_riskcontradictionlower_level_of_care_barrier_reasoningmissing_invalid_or_stale_evidence
MDP Trajectory
Cases 1-120 use rule_based_v1. Cases 121-180 use probabilistic_v1.
Rule-based trajectory entries include the day, action, and resulting synthetic patient state.
Probabilistic trajectory entries include transition metadata such as transition options, conditioned probability mass, sample roll, selected outcome, selected probability, and resulting synthetic state.
The MDP trajectory is synthetic generation metadata. It is not an observed clinical trajectory and should not be treated as real patient-course data.