Seed configs declare existing data used as input during generation. A SeedConfig combines a seed source with optional row sampling and selection settings. Seed source objects declare where seed data comes from; the engine reads them through seed readers.
Use these objects with DataDesignerConfigBuilder.with_seed_dataset(). Related pages: Seed Datasets and seed readers.
Built-in seed sources include local files, Hugging Face paths, in-memory DataFrames, directories, file contents, and agent rollout traces. Plugin seed sources can extend the same discriminated union through the plugin system.
::: data_designer.config.seed
::: data_designer.config.seed_source
::: data_designer.config.seed_source_dataframe