datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Campus_Recruitment_CSV
Dataset Description
This data set consists of Placement data of students in a XYZ campus. Based on the student's performance data we are classifying his Placement Status.
The students report includes the following information:
CGPA - The grade of the student in his university
Internships - The no of internship done by the student before final placement
Projects - The no of projects done by the student
Workshops/Certifications - The no of workshops attended and the certifications… See the full description on the dataset page: https://huggingface.co/datasets/Krooz/Campus_Recruitment_CSV.clinical-trial-basin-enrichment-and-recruitment-v0.1What this dataset tests
Whether a system can design basin selective recruitment.
It must:
pick the eligible basin
write inclusion and exclusion rules
estimate signal gain and dilution risk
Required outputs
eligible_basin_definition
recruitment_filter_rules
signal_amplification_index
heterogeneity_dilution_risk
expected_trial_coherence_gain
exclusion_rationale
Use case
Trial rescue.
Smaller trials with stronger signals.
Reduced washout from basin mixing.
clinical-quad-recruitment-protocol-adherence-outcome-drift-v0.1Clinical Quad Recruitment Protocol Adherence Outcome Drift v0.1
Each row is a site week snapshot.
Core quad
Recruitment qualityProtocol deviationVisit adherenceOutcome drift
Target
label_trial_fail_risk_next_30d
Files
data/train.csvdata/tester.csvscorer.py
Evaluation
Run model on data/tester.csvReturn predictions row alignedScore with scorer.py
Columns… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-recruitment-protocol-adherence-outcome-drift-v0.1.clinical-quad-recruitment-inclusion-severity-endpoint-dilution-v0.1Clinical Quad Recruitment Inclusion Severity Endpoint Dilution v0.1
Each row is a site week snapshot.
Core quad
Recruitment speedInclusion criteria tightnessPopulation severityEndpoint dilution
Target
label_primary_miss_next_60d
Files
data/train.csvdata/tester.csvscorer.py
Evaluation
Run model on data/tester.csvReturn predictions row alignedScore with scorer.py
License
MIT
clinical-quad-budget-burn-recruitment-pace-timeline-slip-sponsor-stop-decision-v0.1Clinical Quad Budget Burn Recruitment Pace Timeline Slip Sponsor Stop Decision v0.1
Each row is a monthly financial and operational snapshot.
Core quad
Budget burnRecruitment paceTimeline slipSponsor decision pressure
Target
label_sponsor_stop_next_60d
Files
data/train.csvdata/tester.csvscorer.py
Evaluation
Run model on data/tester.csvReturn predictions row alignedScore with scorer.py
License
MIT
clinical-quad-recruitment-endpoint-coherence-collapse-v0.1
Clinical Quad Recruitment–Endpoint Coherence Collapse v0.1
Overview
This dataset models trial failure as a quad-coupled collapse surface across:
Recruitment trajectory
Site mix balance
Endpoint outcome state
Protocol change intensity
Collapse emerges when recruitment failure forces site skew and protocol moves that destabilize endpoint integrity.
Task
Input: quad state in CSVOutput: stability label
Labels
0 — Stable1 — Drift2 — Collapse
Why this… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-recruitment-endpoint-coherence-collapse-v0.1.Campus_Recruitment_CSV
Dataset Description
This data set consists of Placement data of students in a XYZ campus. Based on the student's performance data we are classifying his Placement Status.
The students report includes the following information:
CGPA - The grade of the student in his university
Internships - The no of internship done by the student before final placement
Projects - The no of projects done by the student
Workshops/Certifications - The no of workshops attended and the certifications… See the full description on the dataset page: https://huggingface.co/datasets/surya5678/Campus_Recruitment_CSV.clinical-quad-recruitment-endpoint-coherence-collapse-v0.2Clinical Quad Recruitment Endpoint Coherence Collapse v0.2
What this dataset does
It tests whether a model can detect when recruitment pressure drives endpoint instability.
The quad nodes
recruitment
site_mix
endpoint
protocol_change
Labels
0 coherent
recruitment on target
sites balanced
primary endpoint met
no major protocol change
1 tradeoff
some drift or tension
endpoint credibility pressured but not fully broken
2 collapse
recruitment failure drives major… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-recruitment-endpoint-coherence-collapse-v0.2.