Data Designer's Config Builder | NVIDIA NeMo Data Designer

The config_builder module provides a high-level interface for constructing Data Designer configurations through the DataDesignerConfigBuilder class, enabling programmatic creation of DataDesignerConfig objects by incrementally adding column configurations, constraints, processors, and profilers.

You can use the builder to create Data Designer configurations from scratch or from existing configurations stored in YAML/JSON files via from_config(). The builder includes validation capabilities to catch configuration errors early and can work with seed datasets from local sources or external datastores. Once configured, use build() to generate the final configuration object or write_config() to serialize it to disk.

Model configs are required DataDesignerConfigBuilder requires a list of model configurations at initialization. This tells the builder which model aliases can be referenced by LLM-generated columns (such as LLMTextColumnConfig, LLMCodeColumnConfig, LLMStructuredColumnConfig, and LLMJudgeColumnConfig). Each model configuration specifies the model alias, model provider, model ID, and inference parameters that will be used during data generation.