Synthetic Data Optimizer Cookbook
Advanced example notebook using synthetic datasets
This page is a high-level entry point for the synthetic data workflow. Use the notebook or SDK script to run the full example end-to-end.
Launch the example
The notebook is the fastest way to explore synthetic data optimization in your browser.
What this example covers
- Generating synthetic Q&A datasets from Opik traces
- Using TinyQA (via tinyqabenchmarkpp) and variants like TinyQA++
- Optimizing prompts with MetaPrompt on synthetic data
- Reviewing results in the Opik UI
Where the full implementation lives
SDK codebase: browse sdks/opik_optimizer/ for dataset utilities, metrics, and optimizer implementations.
Next steps
- Run the notebook and swap in your own traces or datasets.
- Explore Define datasets and Define metrics for deeper control.
