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GitTables: A Large-Scale Corpus of Relational Tables

Summary: GitTables provides ~1M relational tables from GitHub, with a path to 10M+, enabling training on offline, non-HTML relational data. Unique: semantic-type annotations from Schema.org/DBpedia enable learned type detection, schema completion, and table-to-KG benchmarks for data management. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
ha12b51d851484a4e
Venue
SIGMOD
Year
2023
Pagerank
8.6058607e-05
Overall Rank
2,334 | 84.36%
DOI
10.1145/3588710
PDF
Download (CC BY 4.0)

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{hulsebos_sigmod23,
        title = {{GitTables: A Large-Scale Corpus of Relational Tables}},
        author = {Hulsebos, Madelon and Demiralp, Çağatay and Groth, Paul},
        series = {{SIGMOD} '23},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3588710},
        url = {https://dl.acm.org/doi/10.1145/3588710},
        year = {2023}
}

Incoming Citations (Sorted by Pagerank)

Showing 23 of 23 citing papers.

Rank Citing Paper Year Venue Pagerank
1,789 OmniSQL: Synthesizing High-quality Text-to-SQL Data at Scale 2025 VLDB 9.628035e-05
1,838 CHORUS: Foundation Models for Unified Data Discovery and Exploration 2024 VLDB 9.5195856e-05
4,335 ArcheType: A Novel Framework for Open-Source Column Type Annotation using Large Language Models 2024 VLDB 6.6432811e-05
5,234 ELEET: Efficient Learned Query Execution over Text and Tables 2024 VLDB 6.204849e-05
5,383 SchemaPile: A Large Collection of Relational Database Schemas 2024 SIGMOD 6.1379374e-05
7,322 Mind the Data Gap: Bridging LLMs to Enterprise Data Integration 2025 CIDR 5.5392633e-05
8,161 Watchog: A Light-weight Contrastive Learning based Framework for Column Annotation 2023 SIGMOD 5.37207e-05
9,054 Fainder: A Fast and Accurate Index for Distribution-Aware Dataset Search 2024 VLDB 5.2149206e-05
9,098 Unveiling Challenges for LLMs in Enterprise Data Engineering 2026 VLDB 5.208561e-05
9,201 Cents: A Flexible and Cost-Effective Framework for LLM-Based Table Understanding 2025 VLDB 5.1950133e-05
9,278 Making Table Understanding Work in Practice 2022 CIDR 5.1860131e-05
9,838 Retrieve-and-Verify: A Table Context Selection Framework for Accurate Column Annotations 2026 SIGMOD 5.1064323e-05
10,095 Table Overlap Estimation through Graph Embeddings 2025 SIGMOD 5.068372e-05
10,099 Determining the Largest Overlap between Tables 2024 SIGMOD 5.068372e-05
10,334 AdaNDV: Adaptive Number of Distinct Value Estimation via Learning to Select and Fuse Estimators 2025 VLDB 5.0225409e-05
10,380 Alignment-Guided Largest Table Overlap Size Estimation 2027 SIGMOD 4.9605343e-05
10,409 SemDistill: Bootstrapping a Low-Latency, Low-Cost Semantic Table Annotator from Noisy LLM 2027 SIGMOD 4.9605343e-05
10,576 Shape-Agnostic Table Overlap Discovery: A Maximum Common Subhypergraph Approach 2026 SIGMOD 4.9605343e-05
10,692 AutoDDG: Automated Dataset Description Generation using Large Language Models 2026 SIGMOD 4.9605343e-05
10,887 FedAugment: Table Augmentation Search over Decentralized Data Repositories 2026 VLDB 4.9605343e-05
10,961 Matryoshka: Uncovering Relevant Features in Data Lakes to Enhance Machine Learning Applications 2026 VLDB 4.9605343e-05
11,260 PLM4NDV: Minimizing Data Access for Number of Distinct Values Estimation with Pre-trained Language Models 2025 SIGMOD 4.9605343e-05
11,772 Steered Training Data Generation for Learned Semantic Type Detection 2023 SIGMOD 4.9605343e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 4 of 4 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
88 WebTables: Exploring the Power of Tables on the Web 2008 VLDB 0.00035500667
366 TURL: Table Understanding through Representation Learning 2021 VLDB 0.00019902067
3,247 Ten Years of WebTables 2018 VLDB 7.4774952e-05
4,384 Knowledge Graphs 2021: A Data Odyssey 2021 VLDB 6.6139064e-05
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