How it was checked
Automated gates on every submission (integrity, clipping, SNR, silence, duplicates, schema), then human QA for speaker separation, topic compliance and consent linkage. Transcripts: machine first pass, corrected by a trained transcriber, with an independent second review of a 15% sample per transcriber.
Release criterion
A sample of the release must load into Python (librosa / pandas) without manual editing. Any failed check blocks release — pass/warning/fail conditions ship in validation_rules.json.