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)
Incoming Non-self Citations Over Time
Authors
- 1. Gerardo Vitagliano (Hasso Plattner Institute; University of Potsdam)
- 2. Mazhar Hameed (Hasso Plattner Institute; University of Potsdam)
- 3. Lan Jiang (Hasso Plattner Institute; University of Potsdam)
- 4. Lucas Reisener (Hasso Plattner Institute; University of Potsdam)
- 5. Eugene Wu (Columbia University)
- 6. Felix Naumann (Hasso Plattner Institute; University of Potsdam)
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.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 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 |
Previous
Page 1 / 1
Next
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.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,074 | Speculative Distributed CSV Data Parsing for Big Data Analytics | 2019 | SIGMOD | 7.7844208e-05 |
| 4,168 | Pytheas: Pattern-based Table Discovery in CSV Files | 2020 | VLDB | 6.8570481e-05 |
| 4,877 | TPC-DI: The First Industry Benchmark for Data Integration | 2014 | VLDB | 6.468584e-05 |
| 5,051 | Towards Benchmarking Feature Type Inference for AutoML Platforms | 2021 | SIGMOD | 6.385354e-05 |
| 7,015 | A framework for annotating CSV-like data | 2016 | VLDB | 5.7257102e-05 |
| 8,373 | Automation of Data Prep, ML, and Data Science: New Cure or Snake Oil? | 2021 | SIGMOD | 5.4399999e-05 |
| 11,618 | Detecting Layout Templates in Complex Multiregion Files | 2022 | VLDB | 5.093636e-05 |
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 279 | Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation | 2024 | VLDB |
| 2 | 10,211 | Comparison and Analysis of Value Linking in Text-to-SQL Systems [Experiments & Analysis] | 2026 | SIGMOD |
| 3 | 2,039 | ScienceBenchmark: A Complex Real-World Benchmark for Evaluating Natural Language to SQL Systems | 2024 | VLDB |
| 4 | 1,903 | Instant Loading for Main Memory Databases | 2013 | VLDB |
| 5 | 10,220 | Dialect-Agnostic SQL Parsing via LLM-Based Segmentation | 2026 | SIGMOD |
| 6 | 1,070 | NoDB: Efficient Query Execution on Raw Data Files | 2012 | SIGMOD |
| 7 | 7,894 | A Grammar-based Entity Representation Framework for Data Cleaning | 2009 | SIGMOD |
| 8 | 5,174 | An In-Depth Benchmarking of Text-to-SQL Systems | 2021 | SIGMOD |
| 9 | 3,074 | Speculative Distributed CSV Data Parsing for Big Data Analytics | 2019 | SIGMOD |
| 10 | 7,015 | A framework for annotating CSV-like data | 2016 | VLDB |