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Pollock: A Data Loading Benchmark

Summary: Pollock benchmarks CSV loading under real-world dialect variation and structural inconsistencies. It derives grammar-guided pollution from thousands of files and evaluates 16 parsers, databases, spreadsheets, and visualization tools. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
13231
Venue
VLDB
Year
2023
Pagerank
5.5418222e-05
Overall Rank
7,803 | 46.47%
DOI
10.14778/3594512.3594518

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{vitagliano_vldb23,
        title = {{Pollock: A Data Loading Benchmark}},
        author = {Vitagliano, Gerardo and Hameed, Mazhar and Jiang, Lan and Reisener, Lucas and Wu, Eugene and Naumann, Felix},
        journal = {PVLDB},
        series = {{VLDB} '23},
        volume = {16},
        number = {8},
        pages = {1870--1882},
        doi = {10.14778/3594512.3594518},
        url = {https://doi.org/10.14778/3594512.3594518},
        year = {2023}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

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2,099 Table-GPT: Table Fine-tuned GPT for Diverse Table Tasks 2024 SIGMOD 9.1682353e-05
5,466 SchemaPile: A Large Collection of Relational Database Schemas 2024 SIGMOD 6.2075052e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 7 of 7 cited papers.

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

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