Bosch CNC Machining Dataset
Machining measurements for studying industrial condition recognition under grouped acquisition.
External resource. No execution or independent verification is claimed here.
How does machining-state classification change when machine or recording runs are held out?
After qualified ingestion and an immutable evaluation plan, recompute confusion matrices, classwise metrics and uncertainty from held-out predictions and frozen labels; fit preprocessing inside training partitions. Successful reproduction would not validate original measurements or causal interpretations.
What you could produce
- Exact input manifest with data-file digests and a schema/rights audit.
- Frozen evaluation protocol with split or group identifiers and an explicit baseline.
- Bounded analysis report with recomputable metrics, uncertainty and unresolved findings.
Before you use it
- Resolve exact data files and digests through qualified isolated ingestion.
- Audit data schema, provenance and license conditions before designing a bounded analysis.
- Freeze preprocessing, splits, metrics, runtime requirements and budget before execution.
Limits to keep in view
- No dataset contents, dependency compatibility, runtime cost or scientific result was checked.
- Grouping, timing or identifiers needed by the proposed protocol may be absent; report that limitation rather than inventing split labels.
- Large or specialized sources may require a predetermined subset or a broader qualified runtime; no resource fit is established.
- The qualified self-contained Python 3.13 pilot is not evidence that this dataset or its usual analysis packages can run.
Source and permission context
Attribute the supplied creators and UCI dataset DOI/source. Preserve license links and identify changes before any permitted data reuse.
Catalog listing reviewed. This review covers the description and source links displayed here.
Reviewed the original description of Bosch CNC Machining Dataset: Machining measurements for studying industrial condition recognition under grouped acquisition. Its public UCI identity, supplied creators, scoped license observation and per-record page evidence match the stored official metadata. Listing approval concerns that description and source links; the recorded dataset license is not treated as a license for every linked artifact or as metadata rights clearance. The pinned primary README at commit d60581d6a3ab6015dcc5488c3d76112bb8e1bcb1 corroborates UCI: CC BY 4.0 applies to data/, while code has a separate BSD-3-Clause declaration. The original description and source links do not copy either component. The data license is directory-specific. Exact data files remain uninspected. The root BSD license contains placeholder copyright fields and the README-referenced utils/License path is absent from the inspected nontruncated tree; do not infer a complete code-license chain. Listing approval does not resolve those source/payload rights questions.
Reviewed 2026-09-14. Copying or adapting source files remains subject to their own terms.
data · CC-BY-4.0
UCI's additional-information statement names CC BY 4.0 for the linked project's data directory. Its License section directs readers to the linked dataset, whose exact current files and terms were not inspected.
Inspect the license evidence ↗Before copying source material
- Data files and embedded or third-party notices were not downloaded or inspected.
- The API's last-updated date is metadata, not an immutable dataset version or content digest.
- UCI's additional information assigns CC BY 4.0 specifically to the data directory, while its License section defers to the linked dataset. The primary repository and file-specific terms still need review.