SchemaPile: A Large Collection of Relational Database Schemas
Summary: SchemaPile: massive GitHub-mined corpus of 221K relational database schemas, 1.7M tables, 10M columns, 700K FKs, and rich integrity metadata/content — far beyond single-table corpora. Positions schema-level training/evaluation data for LLMs and data management tasks like FK detection, header detection, and SQL parsing. (summarized by gpt-5.4-mini on May 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Till Döhmen (University of Amsterdam)
- 2. Radu Geacu (University of Amsterdam)
- 3. Madelon Hulsebos (University of California Berkeley)
- 4. Sebastian Schelter (University of Amsterdam)
BibTeX Citation
@inproceedings{dohmen_sigmod24,
title = {{SchemaPile: A Large Collection of Relational Database Schemas}},
author = {Döhmen, Till and Geacu, Radu and Hulsebos, Madelon and Schelter, Sebastian},
series = {{SIGMOD} '24},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3654975},
url = {https://dl.acm.org/doi/10.1145/3654975},
year = {2024}
}Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,395 | OmniSQL: Synthesizing High-quality Text-to-SQL Data at Scale | 2025 | VLDB | 8.6355093e-05 |
| 5,323 | SNAILS: Schema Naming Assessments for Improved LLM-Based SQL Inference | 2025 | SIGMOD | 6.2655413e-05 |
| 10,220 | Dialect-Agnostic SQL Parsing via LLM-Based Segmentation | 2026 | SIGMOD | 5.093636e-05 |
| 10,486 | Qualitative Join Discovery in Data Lakes using Examples | 2026 | SIGMOD | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 15 of 15 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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