The prediction results of ChatGPT on various datasets of Text-to-SQL.

For the specific evaluation methods and results, please refer to this paper "A comprehensive evaluation of ChatGPT's zero-shot Text-to-SQL capability" (https://arxiv.org/pdf/2303.13547.pdf).

You can find the datasets in the following links:

• Spider dataset: https://drive.google.com/uc?export=download&id=1TqleXec_OykOYFREKKtschzY29dUcVAQ
• Spider-SYN dataset: https://github.com/ygan/Spider-Syn
• Spider-DK dataset: https://github.com/ygan/Spider-DK
• Spider-Realistic dataset: https://zenodo.org/record/5205322
• ADVETA: https://github.com/microsoft/ContextualSP
• Spider-CG: https://github.com/ygan/SpiderSS-SpiderCG
• Sparc: https://yale-lily.github.io/sparc
• CoSQL: https://yale-lily.github.io/cosql
• CSPIDER: https://taolusi.github.io/CSpider-explorer/
• DuSQL: https://github.com/luge-ai/luge-ai/tree/master/semantic-parsing

python generate_txt.py

python evaluation.py --gold gold_example.txt --pred pred_example.txt --etype exec --db spider/database --table spider/tables.json

The result should be following: