Data Designer
Data Designer on NeMo Platform enables high-quality synthetic data generation through the NeMo Data Designer plugin. You can execute workloads locally from the CLI, submit them to a running NeMo Services cluster, or call the Data Designer API from the SDK.
Overview
Data Designer is a framework for orchestrating complex synthetic data generation workflows. It coordinates LLM calls, manages dependencies between data fields, handles batching and parallelization, and validates generated data against specifications.
The plugin is built on the open-source NVIDIA NeMo Data Designer library (GitHub). The library provides the configuration and generation engine; the plugin provides CLI, SDK, Data Designer API, Jobs, Files API, Secrets API, and Inference Gateway API integration.
How It Works
Data Designer separates configuration from execution.
The code snippets below are for conceptual demonstration purposes only. For runnable examples, see the tutorials.
1. Build Configurations
Use data_designer.config to define the dataset you want to generate:
Configuration code describes the dataset schema, columns, dependencies, constraints, seed data, processors, profilers, and inference settings.
Learn more: See the library documentation for comprehensive guides on column types, samplers, constraints, and advanced features.
2. Choose Where to Execute
The same configuration can run through different plugin surfaces:
run versus submit primarily controls where the plugin workload execution happens. A local run can be fully local, but it is not an offline-only mode: it can still use the Files API, Secrets API, and Inference Gateway API from a running NeMo Services cluster when the configuration references the corresponding resources.
See Execution Modes for the full model.
NeMo Services Integration
When you use CLI submit, SDK execution, or NeMo resources from a local run, the plugin integrates with these NeMo Services APIs:
These integrations are required for submit and SDK execution. They are optional for CLI run execution, depending on the resources your configuration references.
Next Steps
Understand local execution, NeMo Services execution, and NeMo resources.
Run previews and create datasets with nemo data-designer.
Learn through examples: basics, seeding, and more.
Move configurations between local CLI and NeMo Services execution.
Comprehensive guides on column types, constraints, and advanced features.