ClarusC64/clinical-quad-trial-collapse-surface-v0.2

Clinical Quad Trial Collapse Surface v0.2

What this dataset does

It tests whether a model can classify when a trial moves onto a collapse surface.

You get four coupled signals.

• —enrollment_stability
• —protocol_stress
• —data_integrity
• —safety_signal

You return a label.

• —0 coherent
• —1 tradeoff
• —2 collapse

How to read the labels

0 coherent

• —stable enrollment
• —low to medium stress
• —clean data
• —no safety signal

1 tradeoff

• —strain exists
• —credibility still holds
• —risk is rising

2 collapse

• —questionable data with high stress or spiky enrollment
• —strong safety signal on a fragile data surface

Files

• —data/train.csv
• —data/test.csv
• —scorer.py

Run scoring

predictions.csv

• —id,label

Run

python scorer.py --predscsv predictions.csv --goldcsv data/test.csv