Regenerate Dataset

Use this guide when you need to re-run a dataset generator — either on demand or as part of updating your evaluation configuration.

There are two ways to trigger regeneration:

• Force-regenerate with lf regenerate dataset — re-runs the generator unconditionally, even if nothing in the config has changed.
• Auto-regenerate via lf add / lf run — regeneration happens automatically when AI GO! detects that the generator configuration has changed or that the dataset was never generated in its current form.

Force-Regenerate with lf regenerate dataset

Use this when you want to refresh a dataset without changing any config — for example, when the generated data is unsatisfactory or you want a fresh random sample.

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The dataset must already exist in the AI app. lf regenerate dataset does not create new datasets.

From a Run Config

Run this when your dataset is defined inside a run.yaml alongside other entities:

lf regenerate dataset --file run.yaml --key mydataset

The --key flag is required to tell AI GO! which dataset to regenerate.

From a Standalone Dataset YAML

Run this when your dataset has its own dedicated spec file:

lf regenerate dataset --file dataset.yaml