DataDesigner/docs/code_reference/data_designer_config.md

# Data Designer Configuration

[DataDesignerConfig](#data_designer.config.data_designer_config.DataDesignerConfig) is the main configuration object for builder datasets with Data Designer. It is a declarative configuration for defining the dataset you want to generate column-by-column, including options for dataset post-processing, validation, and profiling.

Generally, you should use the [DataDesignerConfigBuilder](config_builder.md#data_designer.config.config_builder.DataDesignerConfigBuilder) to build your configuration, but you can also build it manually by instantiating the [DataDesignerConfig](#data_designer.config.data_designer_config.DataDesignerConfig) class directly.

::: data_designer.config.data_designer_config
docs: establish doc templating, building, and strategy (#31) * initial updates with jupyter tutorials and styling * filling out some docs * add blank index * update docs workflow * clean up style sheet 2025-11-12 22:04:50 +00:00			`# Data Designer Configuration`

			`[DataDesignerConfig](#data_designer.config.data_designer_config.DataDesignerConfig) is the main configuration object for builder datasets with Data Designer. It is a declarative configuration for defining the dataset you want to generate column-by-column, including options for dataset post-processing, validation, and profiling.`

			`Generally, you should use the [DataDesignerConfigBuilder](config_builder.md#data_designer.config.config_builder.DataDesignerConfigBuilder) to build your configuration, but you can also build it manually by instantiating the [DataDesignerConfig](#data_designer.config.data_designer_config.DataDesignerConfig) class directly.`

			`::: data_designer.config.data_designer_config`