3W dataset

How does event detection change when complete wells or production episodes 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.

License evidence recorded. Review the scope and upstream conditions before reuse.

Still unresolved

• 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.