> For clean Markdown of any page, append .md to the page URL.
> For a complete documentation index, see https://docs.nvidia.com/nemo/datadesigner/llms.txt.
> For full documentation content, see https://docs.nvidia.com/nemo/datadesigner/llms-full.txt.
> For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://docs.nvidia.com/nemo/datadesigner/_mcp/server.

# data\_designer.config.dataset\_metadata

## Module Contents

### Classes

| Name                                                                     | Description                         |
| ------------------------------------------------------------------------ | ----------------------------------- |
| [`DatasetMetadata`](#data_designerconfigdataset_metadatadatasetmetadata) | Metadata about a generated dataset. |

### API

```python
class data_designer.config.dataset_metadata.DatasetMetadata(
    /,
    **data: typing.Any
)
```

**Bases**: `pydantic.BaseModel`

Metadata about a generated dataset.

This object is created by the engine and passed to results objects for use
in visualization and other client-side utilities. It is designed to be
serializable so it can be sent over the wire in a client-server architecture.

**Parameters:**

Names of columns from the seed dataset. Empty list if no seed dataset.

**Attributes:**

Names of columns from the seed dataset. Empty list if no seed dataset.

**Initialization:**

Create a new model by parsing and validating input data from keyword arguments.

Raises \[`ValidationError`]\[pydantic\_core.ValidationError] if the input data cannot be
validated to form a valid model.

`self` is explicitly positional-only to allow `self` as a field name.

```python
seed_column_names: list[str] = []
```