# yechens/NL2SQL

Text2SQL 语义解析数据集、解决方案、paper资源整合项目

Repository: https://github.com/yechens/NL2SQL
Canonical: https://ross.abutalabs.com/products/nl2sql
License Family: other
Last push: 2023-03-01T08:45:35+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2429, "days_push": 1281, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1556, forks 169 (observed 2026-08-28T04:05:03.222768+00:00)

## What it is
A curated collection of Text2SQL (natural language to SQL) resources, including datasets, papers, and solution approaches for semantic parsing. It catalogs benchmarks like WikiSQL, Spider, CSpider, DuSQL, SParC, and CoSQL with descriptions and links.

## Use cases
- find text-to-sql datasets for training a semantic parsing model
- compare NL2SQL benchmarks like Spider and WikiSQL
- find Chinese text-to-sql datasets
- research papers on natural language to SQL translation
- get started with semantic parsing tasks
- find multi-turn conversational text-to-sql datasets

## When to choose
- you need an overview of available Text2SQL datasets and papers
- you are researching or benchmarking semantic parsing models
- you want Chinese-language NL2SQL resources

## When to avoid
- you need a working text-to-sql model or library to run
- you want production-ready NL2SQL tooling rather than references

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: nlp, database, machine-learning, documentation
- domain: databases, machine-learning, awesome-lists, tutorials
- platform: cross-platform
- tags: text2sql, semantic-parsing, nl2sql, curated-list, datasets, papers, chinese, natural-language-processing

## Member repositories
- yechens/NL2SQL (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:03.222768+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T04:30:00.217220+00:00, confidence not recorded.
  - readme: https://github.com/yechens/NL2SQL (fetched 2026-08-28T04:05:03.222768+00:00, sha e6479f3dba6c)
- Data as of 2026-08-30T08:39:29.467469+00:00.