Arko007/walnut-rancidity-predictor
Walnut Storage Timeseries Dataset (Indian Conditions) Synthetic time-series dataset for training walnut rancidity prediction models. Generated using Arrhenius-based lipid oxidation kinetics simulating real Indian storage scenarios. Dataset Details Property Value Total rows 5,392,174 Total sequences 90,000 Sequence length 30–90 days Storage duration 0–180 days Generation method Arrhenius kinetics + noise Storage Scenarios… See the full description on the dataset page: https://huggingface.co/datasets/Arko007/walnut-rancidity-predictor.
Walnut Storage Timeseries Dataset (Indian Conditions)
Synthetic time-series dataset for training walnut rancidity prediction models. Generated using Arrhenius-based lipid oxidation kinetics simulating real Indian storage scenarios.
Dataset Details
Storage Scenarios
Chemistry Model
Oxidation simulated via Arrhenius kinetics:
k = A · exp(-Ea / (R · T)) A=1.5e12, Ea=80000 J/mol, R=8.314
PV(t) = PV₀ · exp(k · t)Rancidity threshold: PV > 5 meq/kg
Columns
Associated Model
Trained model: Arko007/walnut-rancidity-predictor
License
MIT
