Dataset
3D printer + sound anomaly detection dataset: capture → label → validate → benchmark → release.
Scope
Sound recordings paired with anomaly events and machine context, designed for realistic evaluation of anomaly detection methods in 3D printing workflows.
sound
metadata
controlled scenarios
Planned release
Dataset + documentation + baselines with clear evaluation scripts (AUROC / pAUC).