ClarusC64/personal-quad-carb-load-meal-timing-sleep-activity-glucose-spike-event-v0.1
What this repo does This dataset models glucose destabilization in personal health. It predicts when the interaction between carbohydrate load, meal timing, sleep, and activity level produces a glucose spike event rather than stable metabolic response. Core quad carb_load_g meal_timing_hour sleep_hours activity_level_index Prediction target label_glucose_spike_event Row structure Each row represents a meal-state snapshot. The model predicts whether the coupled conditions trigger a glucose… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/personal-quad-carb-load-meal-timing-sleep-activity-glucose-spike-event-v0.1.
What this repo does
This dataset models glucose destabilization in personal health. It predicts when the interaction between carbohydrate load, meal timing, sleep, and activity level produces a glucose spike event rather than stable metabolic response.
Core quad
carbloadg mealtiminghour sleephours activitylevel_index
Prediction target
labelglucosespike_event
Row structure
Each row represents a meal-state snapshot. The model predicts whether the coupled conditions trigger a glucose spike within the next postprandial window.
Files
data/train.csv data/tester.csv scorer.py
Evaluation
Run predictions on tester.csv Add column prediction Score with scorer.py
License
MIT
Structural Note
This dataset identifies a measurable coupling pattern associated with systemic instability. The sample demonstrates the geometry. Production-scale data determines operational exposure.
What Production Deployment Enables
• 50K–1M row datasets calibrated to real operational patterns • Pair, triadic, and quad coupling analysis • Real-time coherence monitoring • Early warning before cascade events • Collapse surface and recovery window modeling • Integration and implementation support
Small samples reveal structure. Scale reveals consequence.
Enterprise & Research Collaboration
Clarus develops production-scale coherence monitoring infrastructure for critical systems across healthcare, finance, infrastructure, and regulatory domains.
For dataset expansion, custom coherence scorers, or deployment architecture: team@clarusinvariant.com
Instability is detectable. Governance determines whether it propagates.