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---
title: GraphGen Demo
emoji: 📊
colorFrom: blue
colorTo: green
sdk: gradio
sdk_version: "5.44.0"
python_version: "3.10"
app_file: app.py
suggested_hardware: cpu-basic
pinned: false
short_description: "Knowledge-driven synthetic data generation demo"
tags:
- synthetic-data
- knowledge-graph
- gradio-demo
---
# GraphGen Space 🤖📊
This is the **official Hugging Face Space** for [GraphGen](https://github.com/open-sciencelab/GraphGen) – a framework that leverages knowledge graphs to generate high-quality synthetic question–answer pairs for supervised fine-tuning of LLMs.
🔗 Paper: [arXiv 2505.20416](https://arxiv.org/abs/2505.20416)
🐙 GitHub: [open-sciencelab/GraphGen](https://github.com/open-sciencelab/GraphGen)
---
## How to use (🖱️ 3 clicks)
1. Open the **Gradio app** above.
2. Upload or paste your source text → click **Generate KG**.
3. Download the generated QA pairs directly.
---
## Local quick start (optional)
```bash
git clone https://github.com/open-sciencelab/GraphGen
cd GraphGen
uv venv --python 3.10 && uv pip install -r requirements.txt
uv run webui/app.py # http://localhost:7860
```
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