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Data operations

Ground truth, annotation quality, and the people work that keeps a dataset honest.

  • Data operations

    Per-annotator quality beats per-batch QA

    Sampling a batch tells you a dataset has errors. Measuring the people who made it tells you which errors will keep arriving, and lets a correction actually stick.

    June 23, 2026