LakeBench: A Benchmark for Discovering Joinable and Unionable Tables in Data Lakes
Summary: LakeBench benchmarks joinable/unionable table discovery in messy data lakes with 16M real tables, >10K labeled queries, and diverse ground truth. It is 1,600× larger and 100× larger in storage than prior datasets, enabling effectiveness, efficiency, and scalability evaluation. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Yuhao Deng (Beijing Institute of Technology)
- 2. Chengliang Chai (Beijing Institute of Technology)
- 3. Lei Cao (Massachusetts Institute of Technology; University of Arizona)
- 4. Qin Yuan (Beijing Institute of Technology)
- 5. Siyuan Chen (Beijing Institute of Technology)
- 6. Yanrui Yu (Beijing Institute of Technology)
- 7. Zhaoze Sun (Beijing Institute of Technology)
- 8. Junyi Wang (Beijing Institute of Technology)
- 9. Jiajun Li (Beijing Institute of Technology)
- 10. Ziqi Cao (Beijing Institute of Technology)
- 11. Kaisen Jin (Beijing Institute of Technology)
- 12. Chi Zhang (Beijing Institute of Technology)
- 13. Yuqing Jiang (Beijing Institute of Technology)
- 14. Yuanfang Zhang (Beijing Institute of Technology)
- 15. Yuping Wang (Beijing Institute of Technology)
- 16. Ye Yuan (Beijing Institute of Technology)
- 17. Guoren Wang (Beijing Institute of Technology)
- 18. Nan Tang (Hong Kong University of Science and Technology)
BibTeX Citation
@article{deng_vldb24,
title = {{LakeBench: A Benchmark for Discovering Joinable and Unionable Tables in Data Lakes}},
author = {Deng, Yuhao and Chai, Chengliang and Cao, Lei and Yuan, Qin and Chen, Siyuan and Yu, Yanrui and Sun, Zhaoze and Wang, Junyi and Li, Jiajun and Cao, Ziqi and Jin, Kaisen and Zhang, Chi and Jiang, Yuqing and Zhang, Yuanfang and Wang, Yuping and Yuan, Ye and Wang, Guoren and Tang, Nan},
journal = {PVLDB},
series = {{VLDB} '24},
volume = {17},
number = {8},
pages = {1925--1938},
doi = {10.14778/3659437.3659448},
url = {https://doi.org/10.14778/3659437.3659448},
year = {2024}
}
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