Synthetic datasets are easier to evaluate when teams explain how they were generated and what they do not represent.
What makes the difference
Documentation should describe the source material, intended use, known gaps and checks for leakage or skew, so downstream users can judge fit for purpose.
Questions for the next step
For teams putting this idea into practice, the key is to define the intended outcome, the people responsible for it and the conditions that would change the plan. Small, observable steps make trade-offs easier to discuss and improve.
Technology works best when its dependencies are understood, its limits are visible and people have a practical way to recover when something goes wrong.
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