SOTAVerified

C3: Zero-shot Text-to-SQL with ChatGPT

2023-07-14Code Available1· sign in to hype

XueMei Dong, Chao Zhang, Yuhang Ge, YUREN MAO, Yunjun Gao, Lu Chen, Jinshu Lin, Dongfang Lou

Code Available — Be the first to reproduce this paper.

Reproduce

Code

Abstract

This paper proposes a ChatGPT-based zero-shot Text-to-SQL method, dubbed C3, which achieves 82.3\% in terms of execution accuracy on the holdout test set of Spider and becomes the state-of-the-art zero-shot Text-to-SQL method on the Spider Challenge. C3 consists of three key components: Clear Prompting (CP), Calibration with Hints (CH), and Consistent Output (CO), which are corresponding to the model input, model bias and model output respectively. It provides a systematic treatment for zero-shot Text-to-SQL. Extensive experiments have been conducted to verify the effectiveness and efficiency of our proposed method.

Tasks

Benchmark Results

DatasetModelMetricClaimedVerifiedStatus
spiderC3 + ChatGPT + Zero-ShotExecution Accuracy (Test)82.3Unverified

Reproductions