datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
clinical-quad-site-training-protocol-complexity-error-rate-data-usability-v0.1Clinical Quad Site Training Protocol Complexity Error Rate Data Usability v0.1
Each row is a site week snapshot.
Core quad
Site training intensityProtocol complexityOperational error rateData usability
Target
label_data_collapse_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-inventory-burn-rate-resupply-lag-forecast-error-stockout-event-v0.1What this repo does
This dataset models site stockout cascade risk in clinical trial supply systems. It predicts when the interaction between on-hand inventory coverage, enrollment velocity, resupply lag, and forecasting error produces a stockout event that disrupts dosing continuity.
Core quad
site_inventory_days
enrollment_velocity_ppw
resupply_lag_days
forecast_error_index
Prediction target
label_stockout_event
Row structure
Each row represents a site-level inventory planning snapshot. The… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-inventory-burn-rate-resupply-lag-forecast-error-stockout-event-v0.1.