Data library
Quality assurance data for AI.
Quality assurance data records how work is evaluated: inspections, defect logs, QA scorecards and corrective actions. It provides labeled judgments useful for training and evaluating models.
What's included
- Inspection records
- Defect logs
- QA scorecards
- Corrective action reports
Where it typically lives
QMS softwareContact-center QA toolsSpreadsheets
How AI developers use it
- Quality-control models
- Evaluation sets
- QA automation
Preparation and privacy
- Remove inspector and customer identifiers
- Protect process trade secrets
How SourceX approaches it
Preparation requirements are agreed with you before any work begins, and the approved dataset is delivered only after an executed agreement and your explicit authorization of buyer access.
Industries with this data
Related resources
- QuestionTraining data vs evaluation data: what's the difference?
- SolutionWhat is AI evaluation data?
- SolutionHow AI developers source data
- IndustryConstruction data
- QuestionHow do AI companies value datasets?
- InsightHow much is my company data worth to AI companies?
- IndustryManufacturing data
- GlossaryDataset
- GlossaryModel evaluation
- ResearchReal-World Data Report
- InsightIs it safe to license company data for AI training?
- InsightHow does AI training data licensing work?
Explore a data partnership
Tell us what data your company holds. No data is shared during the initial assessment.