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)

Paper ID: 14266
Venue: VLDB
Year: 2025
Pagerank: 8.6355093e-05
Overall Rank: 2,395 | 83.57%
DOI: 10.14778/3749646.3749723

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)

Showing 12 of 12 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
9,047	SQL-Factory: A Multi-Agent Framework for High-Quality and Large-Scale SQL Generation	2026	VLDB	5.3251649e-05
9,870	Natural Language to SQL: State of the Art and Open Problems	2025	VLDB	5.2043672e-05
10,141	Text-to-SQL Benchmarks are Broken: An In-Depth Analysis of Annotation Errors	2026	CIDR	5.093636e-05
10,211	Comparison and Analysis of Value Linking in Text-to-SQL Systems [Experiments & Analysis]	2026	SIGMOD	5.093636e-05
10,217	DeepEye-SQL: A Software-Engineering-Inspired Text-to-SQL Framework	2026	SIGMOD	5.093636e-05
10,285	Reward-SQL: Boosting Text-to-SQL via Stepwise Execution-Aware Reasoning and Process-Supervised Rewards	2026	SIGMOD	5.093636e-05
10,444	DIVER: A Robust Text-to-SQL System with Dynamic Interactive Value Linking and Evidence Reasoning	2026	SIGMOD	5.093636e-05
10,483	PRISM: Navigating Cost–Accuracy Trade-offs for NL2SQL	2026	SIGMOD	5.093636e-05
10,510	NL2SQLBench: A Modular Benchmarking Framework for LLM-Enabled NL2SQL Solutions	2026	VLDB	5.093636e-05
10,530	SQL-Exchange: Transforming SQL Queries Across Domains	2026	VLDB	5.093636e-05
10,556	OpenSQL: Data-Efficient Text-to-SQL for Open-Source LLMs via Synthesized Intermediate Supervision	2026	VLDB	5.093636e-05
10,625	Pervasive Annotation Errors Break Text-to-SQL Benchmarks and Leaderboards	2026	VLDB	5.093636e-05

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
279	Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation	2024	VLDB	0.00022468369
756	CodeS: Towards Building Open-source Language Models for Text-to-SQL	2024	SIGMOD	0.0001431656
1,444	CatSQL: Towards Real World Natural Language to SQL Applications	2023	VLDB	0.00010769944
2,039	ScienceBenchmark: A Complex Real-World Benchmark for Evaluating Natural Language to SQL Systems	2024	VLDB	9.2721259e-05
2,079	DBPal: A Fully Pluggable NL2SQL Training Pipeline	2020	SIGMOD	9.2060425e-05
2,748	Few-shot Text-to-SQL Translation using Structure and Content Prompt Learning	2023	SIGMOD	8.1707811e-05
2,790	GitTables: A Large-Scale Corpus of Relational Tables	2023	SIGMOD	8.1200509e-05
5,466	SchemaPile: A Large Collection of Relational Database Schemas	2024	SIGMOD	6.2075052e-05

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