Use Case Recipes
Recipes are a collection of code examples that demonstrate how to leverage Data Designer in specific use cases. Each recipe is a self-contained example that can be run independently.
New to Data Designer?
Recipes provide working code for specific use cases without detailed explanations. If you're learning Data Designer for the first time, we recommend starting with our tutorial notebooks, which offer step-by-step guidance and explain core concepts. Once you're familiar with the basics, return here for practical, ready-to-use implementations.
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Text to Python
Generate a dataset of natural language instructions paired with Python code implementations, with varying complexity levels and industry focuses.
Demonstrates:
- Python code generation
- Python code validation
- LLM-as-judge
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Text to SQL
Generate a dataset of natural language instructions paired with SQL code implementations, with varying complexity levels and industry focuses.
Demonstrates:
- SQL code generation
- SQL code validation
- LLM-as-judge
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Product Info QA
Generate a dataset that contains information about products and associated question/answer pairs.
Demonstrates:
- Structured outputs
- Expression columns
- LLM-as-judge
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Multi-Turn Chat
Generate a dataset of multi-turn chat conversations between a user and an AI assistant.
Demonstrates:
- Structured outputs
- Expression columns
- LLM-as-judge