{"listing":{"id":"0979cc3d-7c33-4ac3-91ff-d5625bc411e8","name":"Operavue split-audit toolkit","slug":"operavue-split-audit-toolkit","website_url":"https://operavue.com/resources","tagline":"Free local Python checker for identifier overlap across surgical-video dataset splits.","description":"A free, local Python checker and synthetic CSV exercise for teams evaluating surgical-video datasets. It checks supplied case, recording, and patient-group identifiers for overlap across training, validation, and test sets. The guide explains the limitations: a clean result is not proof of independence, privacy, or clinical validity. Published by Operavue, a commercial surgical-data company. No account, patient-data upload, or third-party Python packages are required.","categories":["developer-tools","education"],"features":["Checks supplied case, recording and patient-group identifiers across dataset splits","Runs locally with Python and no third-party packages","Includes a synthetic exercise and a guide to interpreting results"],"pricing_model":"free","pricing_summary":"Free checker, guide and synthetic CSV example","cta_label":"View the toolkit","screenshot_url":"https://screenshots.azn8.com/screenshots/0979cc3d-7c33-4ac3-91ff-d5625bc411e8/4141dcd364487a45.webp","screenshot_status":"ready","screenshot_updated_at":"2026-10-23T15:08:03.686Z","status":"live","source":"api","url":"https://azn8.com/listing/operavue-split-audit-toolkit","created_at":"2026-10-23T15:07:55.008Z","updated_at":"2026-10-23T15:07:55.008Z","published_at":"2026-10-23T15:07:55.008Z","featured":false}}