datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
clinical-quad-consent-version-drift-reconsent-gap-enrollment-pressure-governance-audit-v0.1Clarus Clinical Quad Coupling Informed Consent Integrity v0.1
PurposeDetect consent integrity failures driven by four interacting nodes.
Quad nodes
Consent version drift or addendum mismatch
Re-consent gap after material risk change
Enrollment pressure or incentives
Governance audit or regulator timing
InputOne vignette.
OutputStrict JSON only.
Required keys
consent_integrity_risk
risk_type
driver_nodes
recommended_action
action_detail
rationale
confidence… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-consent-version-drift-reconsent-gap-enrollment-pressure-governance-audit-v0.1.clinical_consent_boundary_detection_v0.1Clinical Consent Boundary Detection
PurposeDetect when a clinical action or data use crosses consent boundaries.
You receive:
patient_state
capacity_status
proposed_action
urgency_level
consent_present
context
You decide:
is there a consent violation
why
what the correct action should be
Required outputReturn one JSON object
consent_violationyes or no
reasonmust match the allowed list
correct_actionone sentence
Allowed reason values
emergency_exception… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical_consent_boundary_detection_v0.1.