Datasets
Synthetic dataset
Batch Duration & Recipe Context Dataset
Batch durations with recipe, grade, and process-condition context, labelled for unexplained long runs.
Battery MaterialsProcess VariationBatch duration anomaly detectionCC-BY-4.0
27k
rows
16
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 |
|---|---|---|
| batch_id | string | Batch identifier |
| recipe | string | Recipe family |
| duration_h | float · h | Batch duration |
| expected_h | float · h | Expected duration for context |
| anomaly | bool | Unexplained long batch (label) |
Sample preview
| batch_id | recipe | duration_h | expected_h | anomaly |
|---|---|---|---|---|
| bd-51 | R-A | 6.2 | 6 | 0 |
| bd-52 | R-A | 7.4 | 6 | 1 |
| bd-53 | R-B | 8.1 | 8 | 0 |
| bd-54 | R-B | 9.6 | 8 | 1 |
Data dictionary
- expected_hExpected duration for the recipe/grade context
- anomaly1 if unexplained long duration (label)
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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