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AI evaluation data

What is AI evaluation data?

Quick answer

AI evaluation data is a dataset used to test how well a model performs, kept separate from the data it was trained on. Good evaluation sets are realistic, representative and have verified correct answers, often from domain experts. Because results are only trustworthy if the data has never been seen in training, evaluation data is often licensed under stricter, sometimes exclusive, terms.

  1. 01Your work records
  2. 02Personal details removed
  3. 03You approve the release
  4. 04Licensed to AI developers
How it works with SourceX: Your work records → Personal details removed → You approve the release → Licensed to AI developers.Illustrative

Why it matters#

Public benchmarks can become contaminated when they leak into training data. Developers therefore seek fresh, private evaluation sets that reflect real tasks.

Examples#

  • Real support questions with approved answers
  • Contracts with expert clause annotations
  • Coding tasks with verified solutions and tests
  • Medical coding cases with audited codes

Value drivers#

  • Expert-verified ground truth
  • Realism and coverage of edge cases
  • Guaranteed separation from training
  • Exclusivity

Licensing#

Licences typically limit use to testing, prohibit training on the data and require confidentiality.

Related resources

Datasets you can request

Specs from the SourceX catalog. Each is sourced to your scope from qualified businesses; supply is not guaranteed.

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Evaluating this data for procurement?

Diligence packets are prepared per dataset. Rights, privacy processing and quality differ between datasets.

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