TabQueryBench2026/TabQueryBench

TabQueryBench TabQueryBench evaluates tabular synthetic data by running workload-grounded SQL queries against real and synthetic tables and scoring how well the synthetic answers match the real ones. The repository is organized into three parts: synthetic data generation, query templates, and scoring — each part keeps its own code and data inside its folder. Docker images Prebuilt Docker environments for the synthetic-data generators are hosted in the gated… See the full description on the dataset page: https://huggingface.co/datasets/TabQueryBench2026/TabQueryBench.

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