eosphoros-ai/Awesome-Text2SQL
A curated collection of tutorials, papers, datasets, and benchmarks for Large Language Models focused on Text2SQL and related text-to-structured-data tasks.
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This repository aggregates resources for applying LLMs to natural language to SQL generation (Text2SQL), including benchmarks like WikiSQL, Spider, and BIRD. It covers fine-tuning approaches, evaluation metrics, and related tasks such as Text2DSL, Text2API, and Text2Vis. The project maintains a leaderboard tracking model performance on Text2SQL benchmarks.
Frequently asked
- What is eosphoros-ai/Awesome-Text2SQL?
- A curated collection of tutorials, papers, datasets, and benchmarks for Large Language Models focused on Text2SQL and related text-to-structured-data tasks.
- Is Awesome-Text2SQL open source?
- Yes — eosphoros-ai/Awesome-Text2SQL is open source, released under the MIT license.
- How popular is Awesome-Text2SQL?
- eosphoros-ai/Awesome-Text2SQL has 3.7k stars on GitHub.
- Where can I find Awesome-Text2SQL?
- eosphoros-ai/Awesome-Text2SQL is on GitHub at https://github.com/eosphoros-ai/Awesome-Text2SQL.