HKUSTDial/NL2SQL_Handbook

This is a continuously updated handbook for readers to easily track the latest Text-to-SQL techniques in the literature and provide practical guidance for researchers and practitioners.

47
/ 100
Emerging

Organizes Text-to-SQL research across a modular pipeline covering pre-processing, translation methods, and post-processing stages, with emphasis on LLM-based approaches. Provides a five-level challenge taxonomy and tracks evolution across four language model eras, from traditional NLP to modern large language models. Curates benchmarks, error analysis frameworks, and data synthesis techniques alongside peer-reviewed survey papers from TKDE, VLDB, and other top venues.

1,361 stars. Actively maintained with 2 commits in the last 30 days.

No License No Package No Dependents
Maintenance 13 / 25
Adoption 10 / 25
Maturity 8 / 25
Community 16 / 25

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1,361

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Language

Python

License

Last pushed

Mar 03, 2026

Commits (30d)

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