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A tool for generating and polishing legal question-answering data using large language models.We provide 50K legal question-answering data for training, including 25K standard version (./data/Standard-25K.json) and 25K enhanced version with reasoning paths (./data/Reasoning-25K.json).

pip install -r requirements.txt

The project consists of three main components:

• ./src/generate.py: Generates initial legal QA data by utilizing seed questions fromseed.json and legal knowledge from thereference directory
• ./src/polish.py: Enhances the generated data by validating legal references and optimizing reasoning paths
• ./src/verify.py: Performs quality assurance by checking the accuracy and logical consistency of answers, reasoning paths, and legal references

You should prepare your knowledge base in thereference directory. Here, we provide a sample knowledge base with two legal documents. And the seed problem set shoud be provided inseed.json. Finally, you can sequentially run the three components to generate the final data.

Note that the API key for DeepSeek is required to be set in three code respectively.