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Quality methodology

Inter-annotator agreement

Every dataset entry is labelled by ≥3 independent annotators. Fleiss’ κ and pairwise span F1 are published per release.

Low-agreement cases

No merged entries yetAwaiting first releaseOnce merged dataset entries ship, low-agreement samples appear here for inspection — each annotated with per-annotator votes and the final resolution.
Collaboration

Join BUDOVA

We are looking for researchers, construction professionals, and language specialists to participate in the project.

Supported by
Microsoft AI for Good Lab