datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
protocols-with-stepsAll protocols from https://github.com/protocolsio/protocols in text form with steps as json list
ProtocolEC
ProtocolEC
A protocol-derived benchmark for complete clinical-trial eligibility-criteria (EC) generation.
ProtocolEC pairs each of 4,302 completed Phase III trials (22 therapeutic areas) with (i) its
ClinicalTrials.gov registry metadata and registry EC, and (ii) a more complete EC set extracted
from the trial's protocol PDF. Protocol EC contain roughly twice the criteria and words of the
registry EC. Splits are 80/10/10, stratified by therapeutic area.
Split
Trials… See the full description on the dataset page: https://huggingface.co/datasets/Konghao/ProtocolEC.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-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-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.protocols_and_reports