Datasets
Synthetic dataset
Ferroalloy Furnace Dataset
Submerged-arc furnace charge and operating conditions paired with tapped alloy composition and energy use.
FerroalloysFerroalloy Quality IntelligenceChemistry predictionCC-BY-4.0
19.5k
rows
26
features
2.1k
downloads
This dataset is intended for research, education, and benchmarking. Industrial deployment requires validation with plant-specific data.
Schema
| Field | Type | Description |
|---|---|---|
| charge_mix | float[] | Ore + reductant charge |
| furnace_power | float · MW | Furnace power |
| alloy_comp | float[] · wt% | Composition (label) |
| energy_t | float · kWh/t | Energy (label) |
Sample preview
| tap_id | charge_ore | furnace_power | alloy_Mn | energy_t |
|---|---|---|---|---|
| f-7701 | 0.62 | 28 | 76.4 | 3120 |
| f-7702 | 0.58 | 30 | 74.1 | 3260 |
| f-7703 | 0.66 | 27 | 77.8 | 3040 |
| f-7704 | 0.55 | 31 | 72.9 | 3380 |
Data dictionary
- furnace_powerFurnace power draw (MW)
- energy_tEnergy per tonne of alloy (label, kWh/t)
Discussion
- r.Question
r.okafor
Digital product lead · 4d
Is the synthetic generator's noise model documented anywhere? Want to make sure augmentation is comparable to what we add on our side.
9 - maComment
matereal
Maintainer · 4d
Generator notes are in the linked research summary. Happy to expand the data dictionary if any fields are unclear.
6
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