|
Download README.md from Arko007/walnut-rancidity-predictor: direct link, hf CLI and curl.
- Browser
- Download file 2.94 kB
-
https://huggingface.co/datasets/Arko007/walnut-rancidity-predictor/resolve/main/README.md
- Command line
-
hf download hf://datasets/Arko007/walnut-rancidity-predictor/README.md
-
curl -L -o README.md https://huggingface.co/datasets/Arko007/walnut-rancidity-predictor/resolve/main/README.md
2.94 kB
metadata
license: mit
language:
- en
pretty_name: Walnut Storage Timeseries (Indian Conditions)
size_categories:
- 1M<n<10M
task_categories:
- time-series-forecasting
tags:
- food-science
- walnut
- rancidity
- oxidation
- arrhenius
- storage
- india
- synthetic
- shelf-life
dataset_info:
features:
- name: sequence_id
dtype: int32
- name: day
dtype: int16
- name: temperature
dtype: float32
- name: humidity
dtype: float32
- name: moisture
dtype: float32
- name: oxygen
dtype: float32
- name: peroxide_value
dtype: float32
- name: free_fatty_acids
dtype: float32
- name: hexanal_level
dtype: float32
- name: oxidation_index
dtype: float32
- name: rancidity_probability
dtype: float32
- name: shelf_life_remaining_days
dtype: float32
- name: decay_curve_value
dtype: float32
splits:
- name: train
num_examples: 5392174
num_rows: 5392174
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
| Scenario | Temperature | Humidity | Weight |
|---|---|---|---|
| Cold storage warehouse | 2–8 °C | 40–60 % | 20 % |
| Hill region (Kashmir / Himachal Pradesh) | 5–20 °C | 35–65 % | 25 % |
| Ambient warehouse | 18–32 °C | 50–75 % | 30 % |
| Hot transport (Indian summer) | 28–40 °C | 55–85 % | 25 % |
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
| Column | Unit | Description |
|---|---|---|
sequence_id |
— | Unique storage sequence identifier |
day |
days | Storage day index |
temperature |
°C | Daily ambient temperature |
humidity |
% RH | Relative humidity |
moisture |
% | Walnut moisture content |
oxygen |
fraction | Oxygen level (0.18–0.23) |
peroxide_value |
meq/kg | Primary oxidation marker |
free_fatty_acids |
% | FFA content |
hexanal_level |
ppm | Volatile oxidation byproduct |
oxidation_index |
— | Composite oxidation score |
rancidity_probability |
[0,1] | sigmoid(PV − 5) |
shelf_life_remaining_days |
days | Days until PV exceeds 5 meq/kg |
decay_curve_value |
[0,1] | Normalised PV (PV/10, capped at 1) |
Associated Model
Trained model: Arko007/walnut-rancidity-predictor
License
MIT