nemo-data-designer-plugin
CommunityDesign synthetic data with NeMo Data Designer.
Data & Analytics#synthetic-data#dataset-generation#inference-gateway#data-designer#nemo-platform#persona-sampling#model-configs
Authorsayalinvidia
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Data teams need a safe, repeatable way to generate synthetic datasets and build data generation pipelines for testing, model evaluation, and prototyping without touching production data.
Core Features & Use Cases
- Programmatic configuration of data workflows via a Python interface that returns a DataDesignerConfigBuilder, enabling portable local and cluster workflows.
- Supports model_configs, persona sampling, seed sources, validation, preview, and generation steps within the NeMo Platform plugin.
- Typical use cases include generating synthetic customer records, QA datasets for model testing, and end-to-end data pipelines for experimentation.
Quick Start
Create a Python script containing load_config_builder() that returns a DataDesignerConfigBuilder to configure and generate your dataset.
Dependency Matrix
Required Modules
pyarrowdata_designer
Components
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: nemo-data-designer-plugin Download link: https://github.com/sayalinvidia/sayali-skills-test/archive/main.zip#nemo-data-designer-plugin Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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