TabQueryBench: A Query-Centric Benchmark for Synthetic Tabular Data

arXiv:2607.03926 · cs.DB, cs.AI · Submitted 2026-07-04 · Read on arXiv

cs.DB, cs.AI

Submitted: 2026-07-04

Updated: 2026-10-11

Code: https://github.com/TabQueryBench/TabQueryBench

Project page: https://archive.ics.uci.edu/dataset/327/phishing+websites

Terminology

• Fidelity — 8× in this paper · explained in 2 episodes
• Generative Model — 6× in this paper · explained in 2 episodes
• Generative Models — 6× in this paper · explained in 3 episodes
• Benchmark — 2× in this paper · explained in 2 episodes

Sources

• SING-SQL: A Synthetic Data Generation Framework for In-Domain Text-to-SQL Translation
• TraceCodec: A Compiler-Backed Neural Codec for Network Traffic Traces
• Generative Active Adaptation for Drifting and Imbalanced Network Intrusion Detection
• Benchmarking the Fidelity and Utility of Synthetic Relational Data
• High-Fidelity And Complex Test Data Generation For Google SQL Code Generation Services
• Benchmarking Synthetic Tabular Data: A Multi-Dimensional Evaluation Framework
• REaLTabFormer: Generating Realistic Relational and Tabular Data using Transformers
• Benchmarking Differentially Private Synthetic Data Generation Algorithms
• Quantifying the Privacy Implications of High-Fidelity Synthetic Network Traffic

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