# Synthetic Data Optimizer Cookbook

:::callout{intent="info"}
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

:::callout{intent="note"}
The notebook is the fastest way to explore synthetic data optimization in your browser.
:::

| Platform                     | Launch Link                                                                                                                                                                                                                 |
| ---------------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| **Google Colab (Preferred)** | [<img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open in Colab">](https://colab.research.google.com/github/comet-ml/opik/blob/main/sdks/opik_optimizer/notebooks/OpikSyntheticDataOptimizer.ipynb) |
| **GitHub**                   | [View the notebook on GitHub](https://github.com/comet-ml/opik/blob/main/sdks/opik_optimizer/notebooks/OpikSyntheticDataOptimizer.ipynb)                                                                                    |

## What this example covers

- Generating synthetic Q\&A datasets from Opik traces
- Using TinyQA (via [tinyqabenchmarkpp](https://pypi.org/project/tinyqabenchmarkpp/)) and variants like TinyQA++
- Optimizing prompts with MetaPrompt on synthetic data
- Reviewing results in the Opik UI

## Where the full implementation lives

:::callout{intent="note"}
Notebook: [`sdks/opik_optimizer/notebooks/OpikSyntheticDataOptimizer.ipynb`](https://github.com/comet-ml/opik/blob/main/sdks/opik_optimizer/notebooks/OpikSyntheticDataOptimizer.ipynb)
:::

:::callout{intent="note"}
SDK codebase: browse `sdks/opik_optimizer/` for dataset utilities, metrics, and optimizer implementations.
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## Next steps

- Run the notebook and swap in your own traces or datasets.
- Explore [Define datasets](https://www.comet.com/development/optimization-runs/optimization/define_datasets) and [Define metrics](https://www.comet.com/development/optimization-runs/optimization/define_metrics) for deeper control.

## Related pages

- [ARC-AGI Optimization Tutorial](./development-optimization-runs-cookbooks-arc-agi-optimizer-cookbook.md)
- [Multimodal Agent Optimization Tutorial](./development-optimization-runs-cookbooks-multimodal-agent-optimizer-cookbook.md)

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