# Jupyter Notebooks

This page includes demo Jupyter Notebooks for researchers and practitioners who want to try out or better understand the Digital Twin Simulation framework.

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## Full Pipeline Demo

This notebook walks through the full pipeline of running a Digital Twin Simulation. It's the most comprehensive example and covers:
- Downloading the dataset
- Processing personas and questions
- Running LLM simulations
- Converting results to CSV format
- Running accuracy evaluations
- Performing pricing analysis

**Link:** [**demo_full_pipeline.ipynb** on GitHub](https://github.com/tianyipeng-lab/Digital-Twin-Simulation/blob/main/notebooks/demo_full_pipeline.ipynb)

> **Prerequisites:**
> - Remember to update the `PROJECT_ROOT_PATH` in the notebook to match your local repository.
> - You must first clone the repository to your local workspace.

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## Simple Simulation Demo

This notebook shows how to run a basic simulation using a small set of custom questions. It’s a quick and easy guide for adding your own questions to the simulation pipeline with minimal setup.

**Link:** [**demo_simple_simulation.ipynb** on GitHub](https://github.com/tianyipeng-lab/Digital-Twin-Simulation/blob/main/notebooks/demo_simple_simulation.ipynb)

> **Prerequisites:**
> - Remember to set up your own LLM API key.