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Quick Start

Get started with Data Designer using the default model providers and configurations. Data Designer ships with built-in model providers and configurations that make it easy to start generating synthetic data immediately.

Prerequisites

Before you begin, you'll need an API key from one of the default providers:

Set your API key as an environment variable:

export NVIDIA_API_KEY="your-api-key-here"
# Or for OpenAI
export OPENAI_API_KEY="your-openai-api-key-here"

Example

Below we'll construct a simple Data Designer workflow that generates multilingual greetings.

import os

from data_designer.essentials import (
    CategorySamplerParams,
    DataDesigner,
    DataDesignerConfigBuilder,
    InfoType,
    LLMTextColumnConfig,
    SamplerColumnConfig,
    SamplerType,
)

# Set your API key from build.nvidia.com
# Skip this step if you've already exported your key to the environemnt variable
os.environ["NVIDIA_API_KEY"] = "your-api-key-here"

# Create a DataDesigner instance
# This automatically configures the default model providers
data_designer = DataDesigner()

# Print out all the model providers available
data_designer.info.display(InfoType.MODEL_PROVIDERS)

# Create a config builder
# This automatically loads the default model configurations
config_builder = DataDesignerConfigBuilder()

# Print out all the model configurations available
config_builder.info.display(InfoType.MODEL_CONFIGS)

# Add a sampler column to randomly select a language
config_builder.add_column(
    SamplerColumnConfig(
        name="language",
        sampler_type=SamplerType.CATEGORY,
        params=CategorySamplerParams(
            values=["English", "Spanish", "French", "German", "Italian"],
        ),
    )
)

# Add an LLM text generation column
# We'll use the built-in 'nvidia-text' model alias
config_builder.add_column(
    LLMTextColumnConfig(
        name="greetings",
        model_alias="nvidia-text",
        prompt="""Write a casual and formal greeting in '{{language}}' language.""",
    )
)

# Run a preview to generate sample records
preview_results = data_designer.preview(config_builder=config_builder)

# Display a sample record
preview_results.display_sample_record()

🎉 Congratulations, you successfully ran one iteration designing your synthetic data. Follow along to learn more.

To learn more about the default providers and model configurations available, see the Default Model Settings guide.