Test Suite Accuracy (TS Acc) is an important evaluation metric for natural language to SQL tasks in natural language processing. Test Suite Accuracy verifies SQL semantic equivalence across multiple sets of discriminator databases and is more robust than execution accuracy. It is typically reported as a percentage or a score between 0 and 1. This metric is widely used in related benchmarks and papers and can effectively reflect model performance on this dimension. Higher values are better. It helps researchers and engineers quantify differences in actual model performance in natural language to SQL scenarios, facilitating side-by-side comparisons across different methods or model versions.