Awesome-Text2SQL and Awesome-Text2GQL
These are ecosystem siblings, as both projects curate resources and tutorials for generating queries from natural language, with one focusing on SQL and the other on Graph Query Languages, indicating a shared domain with differing target query languages.
About Awesome-Text2SQL
eosphoros-ai/Awesome-Text2SQL
Curated tutorials and resources for Large Language Models, Text2SQL, Text2DSL、Text2API、Text2Vis and more.
Maintains comprehensive leaderboards tracking performance across major benchmarks (WikiSQL, Spider, BIRD) with exact match and execution accuracy metrics, alongside organized resources covering classic models, fine-tuning techniques, datasets, and evaluation methodologies. Serves as a reference hub for both neural Text2SQL architectures and broader natural language-to-code generation patterns including DSLs, APIs, and visualizations, with curated links to libraries, datasets, and practice implementations.
About Awesome-Text2GQL
TuGraph-family/Awesome-Text2GQL
Fine-Tuning Dataset Auto-Generation for Graph Query Languages.
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