datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
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_recruitment_coherence_mapping_v0.1Clinical Recruitment Coherence Mapping v0.1
Purpose
Detect when population and feasibility assumptions will break recruitment.
Model task
Return one JSON object
risk_levellow, medium, high
failure_modeone allowed label
correct_actionone short paragraph
Scoring
0 to 100
risk accuracy 30
failure mode accuracy 35
action similarity 25
format pass 10
Run
python scorer.py --predictions predictions.jsonl --test_csv data/test.csv
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.