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An Adaptive Benchmark for Modeling User Exploration of Large Datasets

Summary: Proposes SIMBA, an adaptive benchmark that simulates data exploration by generating SQL-based interaction sequences to encode goals. It measures progress by equating user queries with goals, enabling goal-driven benchmarking and exposing IDEBench misses. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
7069
Venue
SIGMOD
Year
2025
Pagerank
5.1915905e-05
Overall Rank
9,941 | 31.80%
DOI
10.1145/3709658

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{purich_sigmod25,
        title = {{An Adaptive Benchmark for Modeling User Exploration of Large Datasets}},
        author = {Purich, Joanna and Wise, Anthony and Battle, Leilani},
        series = {{SIGMOD} '25},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3709658},
        url = {https://dl.acm.org/doi/10.1145/3709658},
        year = {2025}
}

Incoming Citations (Sorted by Pagerank)

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10,199 Automated Discovery of Test Oracles for Database Management Systems Using LLMs 2026 SIGMOD 5.093636e-05
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