DataDesigner

Generate high-quality synthetic data, supporting both zero-start and seed-based approaches.

MCPDataOpen source合成数据数据生成NVIDIA

Type: MCP
Open source: Yes
GitHub Stars: ★ 2.0k
Source: mcp-github
Repository: github.com/NVIDIA-NeMo/DataDesigner

Overview

DataDesigner is a tool for generating high-quality synthetic data. It helps users create datasets with diverse statistical distributions, meaningful relationships between fields, and validated high-quality outputs. By leveraging statistical samplers, large language models, or existing seed data, DataDesigner provides a flexible framework for building production-grade synthetic data. Ideal for developers and researchers who need large volumes of training or testing data.

Capabilities

▪Generate diverse data
▪Control relationships between fields
▪Built-in validators to verify data quality
▪Use large language models to score outputs
▪Fast iteration with preview mode

Use cases

Generate training dataGenerate test dataData augmentationSimulate real-world data

Setup

Requires: API KeyPython 环境

pip install data-designer or install from source: git clone https://github.com/NVIDIA-NeMo/DataDesigner.git && cd DataDesigner && make install

This information was compiled by AI from public sources and may contain inaccuracies — please refer to the source.

FAQ

How do I set the API Key?

Set environment variables such as export NVIDIA_API_KEY="your-api-key-here"

Which model providers are supported?

Supports NVIDIA Build API, OpenAI, and OpenRouter

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