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: h8347100396e49d0b
Venue: VLDB
Year: 2025
Pagerank: 9.664552e-05
Overall Rank: 1,777 | 88.06%
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 15 of 15 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
9,210	Natural Language to SQL: State of the Art and Open Problems	2025	VLDB	5.2061511e-05
9,217	Text-to-SQL Benchmarks are Broken: An In-Depth Analysis of Annotation Errors	2026	CIDR	5.2056825e-05
9,222	SQL-Factory: A Multi-Agent Framework for High-Quality and Large-Scale SQL Generation	2026	VLDB	5.2056825e-05
10,427	Comparison and Analysis of Value Linking in Text-to-SQL Systems [Experiments & Analysis]	2026	SIGMOD	4.9793485e-05
10,433	DeepEye-SQL: A Software-Engineering-Inspired Text-to-SQL Framework	2026	SIGMOD	4.9793485e-05
10,497	Reward-SQL: Boosting Text-to-SQL via Stepwise Execution-Aware Reasoning and Process-Supervised Rewards	2026	SIGMOD	4.9793485e-05
10,632	DIVER: A Robust Text-to-SQL System with Dynamic Interactive Value Linking and Evidence Reasoning	2026	SIGMOD	4.9793485e-05
10,670	PRISM: Navigating Cost–Accuracy Trade-offs for NL2SQL	2026	SIGMOD	4.9793485e-05
10,695	NL2SQLBench: A Modular Benchmarking Framework for LLM-Enabled NL2SQL Solutions	2026	VLDB	4.9793485e-05
10,714	SQL-Exchange: Transforming SQL Queries Across Domains	2026	VLDB	4.9793485e-05
10,738	OpenSQL: Data-Efficient Text-to-SQL for Open-Source LLMs via Synthesized Intermediate Supervision	2026	VLDB	4.9793485e-05
10,892	Dial: A Knowledge-Grounded Dialect-Specific NL2SQL System	2026	VLDB	4.9793485e-05
10,940	Bridging NL2SQL for CAN Signal Analytics at NIO: From Externalized Schemas to CTE Pipelines	2026	VLDB	4.9793485e-05
11,002	Demonstrating TOFFEE: A Learned System for Synthesizing Data Agent Trajectories at Scale	2026	VLDB	4.9793485e-05
11,071	Pervasive Annotation Errors Break Text-to-SQL Benchmarks and Leaderboards	2026	VLDB	4.9793485e-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
174	Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation	2024	VLDB	0.00026790979
533	CodeS: Towards Building Open-source Language Models for Text-to-SQL	2024	SIGMOD	0.00016826571
1,356	CatSQL: Towards Real World Natural Language to SQL Applications	2023	VLDB	0.00010925509
1,866	ScienceBenchmark: A Complex Real-World Benchmark for Evaluating Natural Language to SQL Systems	2024	VLDB	9.481643e-05
2,011	DBPal: A Fully Pluggable NL2SQL Training Pipeline	2020	SIGMOD	9.1896169e-05
2,467	Few-shot Text-to-SQL Translation using Structure and Content Prompt Learning	2023	SIGMOD	8.4211526e-05
2,521	GitTables: A Large-Scale Corpus of Relational Tables	2023	SIGMOD	8.3479333e-05
5,385	SchemaPile: A Large Collection of Relational Database Schemas	2024	SIGMOD	6.1523255e-05

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