mcxiaoxiao/QDA-SQL

Efficiently creating diverse multi-turn Text-to-SQL training samples in just 3 steps! 🚀

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Emerging

This tool helps developers working with Text-to-SQL models to create diverse, high-quality training data. You provide example questions and database schemas, and it generates multi-turn dialogues with varied question types. The output is a refined dataset of conversational Text-to-SQL samples, ready for training your models.

Use this if you need to efficiently expand your dataset of conversational Text-to-SQL examples for training or fine-tuning large language models.

Not ideal if you are an end-user trying to query a database with natural language; this is a developer tool for creating training data.

text-to-sql LLM training data augmentation conversational AI natural language processing

No Package No Dependents

Maintenance 10 / 25

Adoption 5 / 25

Maturity 16 / 25

Community 6 / 25

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Language

Python

License

MIT

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