How licensed data becomes training tasks

Follow the record beyond delivery

A dataset can become an input to another product. A company record may support a task with an expected answer, an evaluation that checks a model's work, or an environment in which an agent performs a job. Describe each proposed use in the agreement instead of relying on the phrase AI training.

Turing's published program discusses tasks, evaluations and environments built on company records, with compensation tied to those uses. That is a program-specific statement. It does not show that every intermediary pays separately for derived work.

Ask for a use map

Keep credentials out of any example. If code or a runnable environment is involved, use the source-code preparation page to separate your files from third-party components.

Connect each use to a payment clause

Ask whether payment covers the original license only or also later task creation and resale. If a share applies, request the event that produces revenue and the records you can inspect. A percentage without its revenue base cannot support a useful comparison.

The payment guide explains what to record. Leave unconfirmed uses and rates as questions; do not estimate them from a headline payout range or another company's agreement.

Set the boundaries of access

Record which organizations may receive raw data, samples and derived material. Ask whether each downstream use requires approval and whether any restrictions survive the end of the relationship. A promise not to resell raw records does not answer every question about products made from them.

Bring the use map to the first-call worksheet and review sublicensing terms before treating a broad use clause as settled. Your adviser can assess the actual wording against the rights you hold.