Squrve: A Unified and Modular Framework for Complex Real-World Text-to-SQL Tasks
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arXiv
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| Auteurs principaux: | , , , , |
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| Format: | Preprint |
| Publié: |
2025
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| _version_ | 1866909873702174720 |
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| author | Wang, Yihan Liu, Peiyu Chen, Runyu Pu, Jiaxing Xu, Wei |
| author_facet | Wang, Yihan Liu, Peiyu Chen, Runyu Pu, Jiaxing Xu, Wei |
| contents | Text-to-SQL technology has evolved rapidly, with diverse academic methods achieving impressive results. However, deploying these techniques in real-world systems remains challenging due to limited integration tools. Despite these advances, we introduce Squrve, a unified, modular, and extensive Text-to-SQL framework designed to bring together research advances and real-world applications. Squrve first establishes a universal execution paradigm that standardizes invocation interfaces, then proposes a multi-actor collaboration mechanism based on seven abstracted effective atomic actor components. Experiments on widely adopted benchmarks demonstrate that the collaborative workflows consistently outperform the original individual methods, thereby opening up a new effective avenue for tackling complex real-world queries. The codes are available at https://github.com/Satissss/Squrve. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2510_24102 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Squrve: A Unified and Modular Framework for Complex Real-World Text-to-SQL Tasks Wang, Yihan Liu, Peiyu Chen, Runyu Pu, Jiaxing Xu, Wei Computation and Language Text-to-SQL technology has evolved rapidly, with diverse academic methods achieving impressive results. However, deploying these techniques in real-world systems remains challenging due to limited integration tools. Despite these advances, we introduce Squrve, a unified, modular, and extensive Text-to-SQL framework designed to bring together research advances and real-world applications. Squrve first establishes a universal execution paradigm that standardizes invocation interfaces, then proposes a multi-actor collaboration mechanism based on seven abstracted effective atomic actor components. Experiments on widely adopted benchmarks demonstrate that the collaborative workflows consistently outperform the original individual methods, thereby opening up a new effective avenue for tackling complex real-world queries. The codes are available at https://github.com/Satissss/Squrve. |
| title | Squrve: A Unified and Modular Framework for Complex Real-World Text-to-SQL Tasks |
| topic | Computation and Language |
| url | https://arxiv.org/abs/2510.24102 |