README
GraphGen Space 🤖📊
This is the official Hugging Face Space for 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
🐙 GitHub: open-sciencelab/GraphGen
How to use (🖱️ 3 clicks)
- Open the Gradio app above.
- Upload or paste your source text → click Generate KG.
- Download the generated QA pairs directly.
Local quick start (optional)
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
gradio
gradio-demo
knowledge-graph
synthetic-data
Contributors
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README
GraphGen Space 🤖📊
This is the official Hugging Face Space for 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
🐙 GitHub: open-sciencelab/GraphGen
How to use (🖱️ 3 clicks)
- Open the Gradio app above.
- Upload or paste your source text → click Generate KG.
- Download the generated QA pairs directly.
Local quick start (optional)
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
gradio
gradio-demo
knowledge-graph
synthetic-data