HKUSTDial/NL2SQL_Handbook resource
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. observed · 2026-08-28
Health v2 · maintenance only
66/100
- Activity 94
- Release rhythm 35
- Longevity 59
Flags: no_releases no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 834
- days_rel: n/a
- days_push: 36
- n_releases_24m: 0
Adoption not part of the score
1575 stars · 97 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A continuously updated handbook and survey repository tracking the latest Text-to-SQL (NL2SQL) techniques, accompanying TKDE'25 and VLDB'24 survey papers. It curates research papers, benchmarks, evaluation methods, and practical guidance for translating natural language into SQL using LLMs.
Use cases
- track the latest text-to-sql research papers
- find benchmarks for evaluating nl2sql systems
- learn how llms translate natural language to sql
- choose a text-to-sql approach for my application
- survey of text-to-sql in the era of llms
- find datasets for training text-to-sql models
- understand error analysis in nl2sql systems
When to choose
- you need a curated, continuously updated overview of Text-to-SQL research and benchmarks
- you are a researcher surveying LLM-based NL2SQL techniques
- you are a practitioner deciding which Text-to-SQL solution fits your scenario
When to avoid
- you need a runnable Text-to-SQL tool or library rather than a reading list
- you need production NL2SQL code - use the companion NL2SQL360 repo or a framework instead
Facets
learning-resource · maturity active
nlp database documentation benchmarking databases large-language-models tutorials awesome-lists python text-to-sql nl2sql survey handbook llm awesome-list research-papers benchmarks natural-language-processing
6 sources
- readme: https://github.com/HKUSTDial/NL2SQL_Handbook · fetched 2026-08-28 · dd24310a0733
- homepage: https://arxiv.org/abs/2408.05109 · fetched 2026-08-29 · faa70b90ca3c
- site_page: https://info.arxiv.org/about/donate.html · fetched 2026-08-29 · cca9c3a11c56
- site_page: https://info.arxiv.org/about/ourmembers.html · fetched 2026-08-29 · 47cbc55ff1de
- site_page: https://info.arxiv.org/about · fetched 2026-08-29 · a1f16f915a9a
- site_page: https://info.arxiv.org/labs/index.html · fetched 2026-08-29 · b14a8d05a0ec
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| HKUSTDial/NL2SQL_Handbook | main | 66 |
For agents
markdown · JSON · MCP: product_card(name="HKUSTDial/NL2SQL_Handbook")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem