OmniSQL: Synthesizing High-quality Text-to-SQL Data at Scale
Summary: Scalable synthesis framework producing SynSQL‑2.5M: 2.5M text-to-SQL samples across ~16k synthetic databases, each with DB, SQL, NL question, and chain-of-thought, addressing data scarcity and reliance on closed-source prompting. Trains OmniSQL (7B/14B/32B), open-source, matching or surpassing larger closed/open LLMs (e.g., GPT‑4o, DeepSeek‑V3). (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Haoyang Li (Renmin University of China)
- 2. Shang Wu (Renmin University of China)
- 3. Xiaokang Zhang (Renmin University of China)
- 4. Xinmei Huang (Renmin University of China)
- 5. Jing Zhang (Renmin University of China)
- 6. Fuxin Jiang (ByteDance)
- 7. Shuai Wang (ByteDance)
- 8. Tieying Zhang (ByteDance)
- 9. Jianjun Chen (ByteDance)
- 10. Rui Shi (ByteDance)
- 11. Hong Chen (Renmin University of China)
- 12. Cuiping Li (Renmin University of China)
BibTeX Citation
@article{li_vldb25,
title = {{OmniSQL: Synthesizing High-quality Text-to-SQL Data at Scale}},
author = {Li, Haoyang and Wu, Shang and Zhang, Xiaokang and Huang, Xinmei and Zhang, Jing and Jiang, Fuxin and Wang, Shuai and Zhang, Tieying and Chen, Jianjun and Shi, Rui and Chen, Hong and Li, Cuiping},
journal = {PVLDB},
series = {{VLDB} '25},
volume = {18},
number = {11},
pages = {4695--4709},
doi = {10.14778/3749646.3749723},
url = {https://doi.org/10.14778/3749646.3749723},
year = {2025}
}Incoming Citations (Sorted by Pagerank)
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Outgoing Citations (Sorted by Pagerank)
Showing 8 of 8 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 174 | Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation | 2024 | VLDB | 0.00026787121 |
| 533 | CodeS: Towards Building Open-source Language Models for Text-to-SQL | 2024 | SIGMOD | 0.00016818605 |
| 1,356 | CatSQL: Towards Real World Natural Language to SQL Applications | 2023 | VLDB | 0.00010920878 |
| 1,867 | ScienceBenchmark: A Complex Real-World Benchmark for Evaluating Natural Language to SQL Systems | 2024 | VLDB | 9.4771545e-05 |
| 2,014 | DBPal: A Fully Pluggable NL2SQL Training Pipeline | 2020 | SIGMOD | 9.185301e-05 |
| 2,467 | Few-shot Text-to-SQL Translation using Structure and Content Prompt Learning | 2023 | SIGMOD | 8.4171827e-05 |
| 2,520 | GitTables: A Large-Scale Corpus of Relational Tables | 2023 | SIGMOD | 8.3489561e-05 |
| 5,393 | SchemaPile: A Large Collection of Relational Database Schemas | 2024 | SIGMOD | 6.1494131e-05 |
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