datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
clinical-quad-endpoint-adjudication-drift-blinding-breach-pressure-governance-submission-v0.1Clarus Clinical Quad Coupling Endpoint Adjudication Integrity v0.1
PurposeDetect adjudication drift driven by four interacting nodes.
Quad nodes
Endpoint cluster shift
Blinding gap or reviewer dominance
Operational or vendor process change
Governance submission or review pressure
InputOne vignette.
OutputStrict JSON only.
Required keys
adjudication_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-endpoint-adjudication-drift-blinding-breach-pressure-governance-submission-v0.1.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-quad-recruitment-selection-bias-protocol-pressure-operational-drift-v0.1Clarus Clinical Quad Coupling Recruitment Selection Bias Protocol Pressure Operational Drift v0.1
What this dataset isThis dataset tests whether a model can detect recruitment and selection bias caused by four interacting nodes.
Quad coupling nodes
Recruitment speed or site pressure
Eligibility or baseline data gaps
Operational or staffing drift
Governance or milestone pressure
Input
One vignette
OutputReturn strict JSON only.
Required output JSON keys
recruitment_bias_risk… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-recruitment-selection-bias-protocol-pressure-operational-drift-v0.1.clinical-quad-data-integrity-query-backlog-missingness-governance-threshold-v0.1Clarus Clinical Quad Coupling Data Integrity Query Backlog Missingness Governance Threshold v0.1
What this dataset isThis dataset tests whether a model can detect clinical trial data integrity events driven by four interacting nodes.
Quad coupling nodes
Query backlog or data flow delay
Missingness in critical fields or attachments
Conmed or exposure timeline gaps
Governance thresholds such as audits, CAPA, freeze deadlines, or reporting cadence
Input
One vignette in prompt… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-data-integrity-query-backlog-missingness-governance-threshold-v0.1.clinical-quad-enrollment-criteria-drift-site-selection-bias-screening-pressure-v0.1Clarus Clinical Quad Coupling Enrollment Criteria Drift Site Selection Bias Screening Pressure v0.1
PurposeDetect enrollment population drift driven by four interacting nodes.
Quad nodes
Criteria relaxation or documentation gap
Site selection or recruitment bias
Screening workflow pressure
Governance or interim timing pressure
InputOne vignette.
OutputStrict JSON only.
Required keys
enrollment_drift_risk
risk_type
driver_nodes
recommended_action
action_detail
rationale… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-enrollment-criteria-drift-site-selection-bias-screening-pressure-v0.1.clinical-quad-dose-selection-suite-v0.1Clarus Clinical Quad Coupling Dose Selection Suite v0.1
What this dataset isThis dataset tests dose selection under four-node coupling pressure.
Quad coupling nodes
Patient biology and organ reserve
Exposure and metabolism constraints
Concomitant drugs and interaction risk
Governance constraints that limit changes or force holds
Input
One clinical vignette in prompt
OutputReturn strict JSON only.
Required output JSON keys
recommended_dose_mg
dose_schedule
hold_or_adjust… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-dose-selection-suite-v0.1.clinical-quad-safety-signal-latency-reporting-lag-conmed-confound-v0.1Clarus Clinical Quad Coupling Safety Signal Latency Reporting Lag Conmed Confound v0.1
What this dataset isThis dataset tests whether a model can detect latent safety signals when four interacting nodes create uncertainty.
Quad coupling nodes
Emerging safety event pattern
Reporting or entry latency
Concomitant medication or behavior confound
Governance decision timing such as DSMB, batch release, or safety review
Input
One vignette
OutputReturn strict JSON only.
Required output… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-safety-signal-latency-reporting-lag-conmed-confound-v0.1.clinical-quad-site-performance-signal-drift-oversight-lag-v0.1Clarus Clinical Quad Coupling Site Performance Signal Drift Oversight Lag v0.1
What this dataset isThis dataset tests whether a model can detect site-level performance drift driven by four interacting nodes.
Quad coupling nodes
Enrollment or reporting signal shift
Data capture or documentation gaps
Operational staffing or monitoring lag
Governance pressure such as reviews, incentives, or interim analyses
Input
One site vignette
OutputReturn strict JSON only.
Required output JSON… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-site-performance-signal-drift-oversight-lag-v0.1.clinical-quad-adjudication-drift-endpoint-reclassification-timing-pressure-v0.1Clarus Clinical Quad Coupling Adjudication Drift Endpoint Reclassification Timing Pressure v0.1
What this dataset isThis dataset tests whether a model can detect endpoint adjudication drift driven by four interacting nodes.
Quad coupling nodes
Clustered endpoint reclassification
Source data delay or missing uploads
Exposure or dose documentation gaps
Governance or interim analysis pressure
Input
One vignette
OutputReturn strict JSON only.
Required output JSON keys… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-adjudication-drift-endpoint-reclassification-timing-pressure-v0.1.clinical-quad-pk-sampling-window-deviation-bioanalytical-variance-dose-adjustment-interim-v0.1Clarus Clinical Quad Coupling PK Integrity v0.1
PurposeDetect PK integrity distortion driven by four interacting nodes.
Quad nodes
Sampling window deviation
Bioanalytical or stability variance
Dose adjustment decisions
Governance interim or submission timing
InputOne vignette.
OutputStrict JSON only.
Required keys
pk_integrity_risk
risk_type
driver_nodes
recommended_action
action_detail
rationale
confidence
Filesdata/train.csvdata/test.csvscorer.py
Run scoringCreate… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-pk-sampling-window-deviation-bioanalytical-variance-dose-adjustment-interim-v0.1.clinical-quad-early-safety-signal-detection-suite-v0.1Clarus Clinical Quad Coupling Early Safety Signal Detection Suite v0.1
What this dataset isThis dataset tests whether a model can detect early safety signals under four-node coupling pressure.
Quad coupling nodes
Observed biological signal pattern
Concomitant medication confounding
Operational measurement and reporting conditions
Governance constraints that force holds, pauses, or timing rules
Input
One vignette in prompt
OutputReturn strict JSON only.
Required output JSON keys… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-early-safety-signal-detection-suite-v0.1.clinical-quad-protocol-deviation-staffing-drift-adjudication-variance-missingness-bias-v0.1Clarus Clinical Quad Coupling Protocol Deviation Staffing Drift Adjudication Variance Missingness Bias v0.1
What this dataset isThis dataset tests whether a model can detect protocol deviation events driven by quad coupling.
Quad coupling nodes
Operational staffing drift or site capacity constraint
Protocol compliance breakdown
Endpoint adjudication variance or bias risk
Data missingness that distorts safety or efficacy interpretation under governance rules
Input
One vignette in… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-protocol-deviation-staffing-drift-adjudication-variance-missingness-bias-v0.1.clinical-quad-endpoint-adjudication-timing-missingness-conmed-bias-v0.1Clarus Clinical Quad Coupling Endpoint Adjudication Timing Missingness Conmed Bias v0.1
What this dataset isThis dataset tests whether a model can detect endpoint adjudication risk driven by four interacting nodes.
Quad coupling nodes
Measurement or assessment timing drift
Concomitant medication or treatment timing
Data missingness affecting classification
Governance constraints such as committee deadlines or interim reviews
Input
One vignette in prompt
OutputReturn strict JSON… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-endpoint-adjudication-timing-missingness-conmed-bias-v0.1.clinical-quad-safety-underreporting-conmed-misattributio-lag-governance-interim-v0.1Clarus Clinical Quad Coupling Safety Signal Integrity v0.1
PurposeDetect safety signal distortion driven by four interacting nodes.
Quad nodes
Apparent AE decline or mismatch
Conmed masking or missing timing
Data entry or monitoring lag
Governance or interim timing pressure
InputOne vignette.
OutputStrict JSON only.
Required keys
safety_signal_risk
risk_type
driver_nodes
recommended_action
action_detail
rationale
confidence
Filesdata/train.csvdata/test.csvscorer.py… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-safety-underreporting-conmed-misattributio-lag-governance-interim-v0.1.clinical-quad-recruitment-coherence-mapping-suite-v0.1Clarus Clinical Quad Coupling Recruitment Coherence Mapping Suite v0.1
What this dataset isThis dataset tests whether a model can detect recruitment incoherence under four-node coupling pressure.
Quad coupling nodes
Biological eligibility definition
Concomitant medication or background therapy filters
Operational measurement and site process variance
Governance constraints limiting protocol flexibility
Input
One recruitment vignette
OutputReturn strict JSON only.
Required output… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-recruitment-coherence-mapping-suite-v0.1.clinical-quad-endpoint-adjudication-bias-missingness-timing-pressure-v0.1Clarus Clinical Quad Coupling Endpoint Adjudication Bias Missingness Timing Pressure v0.1
What this dataset isThis dataset tests whether a model can detect endpoint adjudication bias created by four interacting forces.
Quad coupling nodes
Endpoint rate or classification shift
Data latency or packet incompleteness
Concomitant exposure or contextual missingness
Governance pressure such as interim look, submission, earnings, or regulator briefing
Input
One vignette
OutputReturn… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-endpoint-adjudication-bias-missingness-timing-pressure-v0.1.clinical-quad-protocol-deviation-cluster-staffing-load-training-gap-governance-pressure-v0.1Clarus Clinical Quad Coupling Protocol Deviation Cluster Staffing Load Training Gap Governance Pressure v0.1
What this dataset isThis dataset tests whether a model can detect clustered protocol deviations caused by four interacting nodes.
Quad coupling nodes
Deviation rate or severity cluster
Staffing or workload pressure
Training gap or outdated materials
Governance or compliance review pressure
Input
One vignette
OutputReturn strict JSON only.
Required output JSON keys… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-protocol-deviation-cluster-staffing-load-training-gap-governance-pressure-v0.1.clinical-quad-safety-underreporting-conmed-misattribution-monitoring-lag-governance-interim-v0.1Clarus Clinical Quad Coupling Safety Signal Integrity v0.1
PurposeDetect safety signal distortion driven by four interacting nodes.
Quad nodes
Apparent AE decline or mismatch
Conmed masking or missing timing
Data entry or monitoring lag
Governance or interim timing pressure
InputOne vignette.
OutputStrict JSON only.
Required keys
safety_signal_risk
risk_type
driver_nodes
recommended_action
action_detail
rationale
confidence
Filesdata/train.csvdata/test.csvscorer.py… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-safety-underreporting-conmed-misattribution-monitoring-lag-governance-interim-v0.1.clinical-quad-monitoring-frequency-deviation-latency-risk-v0.1Clarus Clinical Quad Coupling Monitoring Frequency Deviation Latency Risk v0.1
What this dataset isThis dataset tests whether a model can detect monitoring and oversight risk driven by four interacting nodes.
Quad coupling nodes
Monitoring frequency or delay
Deviation or anomaly increase
Data latency or missing updates
Governance review or inspection pressure
Input
One vignette
OutputReturn strict JSON only.
Required output JSON keys
monitoring_risk
risk_type
driver_nodes… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-monitoring-frequency-deviation-latency-risk-v0.1.clinical-quad-data-lock-readiness-query-backlog-source-verification-missingness-governance-v0.1Clarus Clinical Quad Coupling Data Lock Readiness v0.1
PurposeDetect lock-readiness risk driven by four interacting nodes.
Quad nodes
Query backlog or unresolved discrepancies
Source verification or vendor delay
Missingness in critical fields
Governance lock or submission deadline
InputOne vignette.
OutputStrict JSON only.
Required keys
lock_readiness_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-data-lock-readiness-query-backlog-source-verification-missingness-governance-v0.1.clinical-quad-epro-compliance-device-update-notification-bias-site-coaching-governance-v0.1Clarus Clinical Quad Coupling ePRO Integrity v0.1
What this dataset isThis dataset tests whether a model can detect ePRO integrity risk driven by four interacting nodes.
Quad coupling nodes
Compliance drop or patterned missingness
Device or app update and reminder configuration
Site influence or coaching and backfill behavior
Governance pressure from interim reads or submission reliance
Input
One vignette
OutputReturn strict JSON only.
Required output JSON keys… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-epro-compliance-device-update-notification-bias-site-coaching-governance-v0.1.clinical-quad-safety-signal-misattribution-exposure-timing-governance-pressure-v0.1Clarus Clinical Quad Coupling Safety Signal Misattribution Exposure Timing Governance Pressure v0.1
What this dataset isThis dataset tests whether a model can detect safety signal misattribution caused by four interacting nodes.
Quad coupling nodes
Safety event cluster or signal change
Exposure or concomitant medication gaps
Data latency or missing timing
Governance or review pressure
Input
One vignette
OutputReturn strict JSON only.
Required output JSON keys… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-safety-signal-misattribution-exposure-timing-governance-pressure-v0.1.clinical-quad-data-lock-missingness-query-backlog-governance-deadline-v0.1Clarus Clinical Quad Coupling Data Lock Missingness Query Backlog Governance Deadline v0.1
What this dataset isThis dataset tests whether a model can detect data-lock risk caused by four interacting nodes.
Quad coupling nodes
Imminent data lock deadline
Missing or incomplete critical fields
Query backlog or unresolved flags
Governance or analysis pressure tied to lock
Input
One vignette
OutputReturn strict JSON only.
Required output JSON keys
data_lock_risk
risk_type… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-data-lock-missingness-query-backlog-governance-deadline-v0.1.