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> For a complete documentation index, see https://www.comet.com/docs/opik/development/optimization-runs/cookbooks/synthetic_data_optimizer_cookbook/llms.txt.
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# Synthetic Data Optimizer Cookbook

> Learn how to generate synthetic Q&A data from Opik traces and optimize prompts using the MetaPromptOptimizer through an interactive notebook.

> **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

> **Note**
>
> The notebook is the fastest way to explore synthetic data optimization in your browser.

| Platform                     | Launch Link                                                                                                                                                                                                   |
| ---------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| **Google Colab (Preferred)** | [![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg)](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

> **Note**
>
> Notebook: [`sdks/opik_optimizer/notebooks/OpikSyntheticDataOptimizer.ipynb`](https://github.com/comet-ml/opik/blob/main/sdks/opik_optimizer/notebooks/OpikSyntheticDataOptimizer.ipynb)

> **Note**
>
> 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](/development/optimization-runs/optimization/define_datasets) and [Define metrics](/development/optimization-runs/optimization/define_metrics) for deeper control.

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