What licensing questions and limits should I raise before starting?
Raise permitted uses, publication rights, held-out handling and the limits of generated data in writing at the start, since terms are agreed per engagement.
**What licensing questions should I raise?** Raise them at the start. Terms are agreed for the engagement, so ask in writing what uses are covered.
**Which uses should I name?** Name the ones you plan: training, fine-tuning, evaluation only, internal benchmarking, publishing results, and sharing with partners or customers. Ask whether a model trained on the data can be released, and whether the evaluation tasks themselves can be published.
**Are there limits on what the data is?** Yes. It is generated, not a copy of any business's records. It is informed by direct observation of how businesses work, but it is not a source of real transactions or real parties.
**Does generated data remove privacy or compliance duties?** No. Do not treat it as evidence of anonymity, privacy compliance or regulatory approval. Inspect the sample for grounding and disclosure risk, and apply your own review before using it in a regulated setting.
**Can I hold back a test set?** A buyer can ask for separate training and held-out sets, split by decision so related records do not cross. Discuss whether the held-out set is kept out of any wider release, so it stays useful for testing.
**Who sets scale, price and timing?** Those are agreed in the engagement. This page does not set them, so ask for them in writing before you commit.
Name your intended uses up front, and remember that generated data does not replace your own privacy or compliance review.
- Audience:
- Evaluation teams
- Content type:
- FAQ
- Buyer question:
- Scope and getting started
Content release: r-a220eb6e099b243b
Related questions
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