For AI agents: a documentation index is available at the root level at /llms.txt and /llms-full.txt. Append /llms.txt to any URL for a page-level index, or .md for the markdown version of any page.
  • Getting Started
    • Welcome
    • Contributing
  • Concepts
    • Columns
    • Seed Datasets
    • Agent Rollout Ingestion
    • Custom Columns
    • Validators
    • Processors
    • Person Sampling
    • Traces
    • Architecture & Performance
    • Deployment Options
    • Security
  • Tutorials
    • Overview
    • The Basics
    • Structured Outputs, Jinja Expressions, and Conditional Generation
    • Seeding with an External Dataset
    • Providing Images as Context
    • Generating Images
    • Image-to-Image Editing
  • Recipes
    • Recipe Cards
  • Plugins
    • Overview
    • Example Plugin
    • FileSystemSeedReader Plugins
    • Discover
  • Code Reference
    • Overview
      • Overview
      • models
      • mcp
      • column_configs
      • config_builder
      • data_designer_config
      • run_config
      • sampler_params
      • validator_params
      • seeds
      • processors
      • analysis
      • Config API
  • Dev Notes
    • Overview
    • Have It Your Way
    • VLM Long Document Understanding
    • Push Datasets to Hugging Face Hub
    • Text-to-SQL for Nemotron Super
    • Async All the Way Down
    • Owning the Model Stack
NVIDIANVIDIA
Developer-friendly docs for your API
Privacy Policy | Your Privacy Choices | Terms of Service | Accessibility | Corporate Policies | Product Security | Contact

Copyright © 2026, NVIDIA Corporation.

LogoLogoNeMo Data Designer
Code ReferenceConfig

Sampler Parameters

||View as Markdown|

The sampler_params module defines parameter configuration objects for all Data Designer sampler types. Sampler parameters are used within the SamplerColumnConfig to specify how values should be generated for sampled columns.

Displaying available samplers and their parameters The config builder has an info attribute that can be used to display the available sampler types and their parameters:

1config_builder.info.display("samplers")
Previous

Run Config

Next

Validator Parameters