The code for the paper C3: Zero-shot Text-to-SQL with ChatGPT (https://arxiv.org/abs/2307.07306)

Download spider data and database (only spider original database right now) and then unzip them:

mkdir data 
unzip spider.zip 
mv spider/database . 
mv spider data

Run the command below, and the predicted sql will be save to the file named "predicted_sql.txt"

bash run_c3sql.sh 

Add your openai key in the generate_sqls_by_gpt3.5.py, column_recall.py, table_recall.py files.

openai.api_key = "your_api_key"

Clone evaluation scripts (test-suite-sql-eval:https://github.com/taoyds/test-suite-sql-eval):

mkdir third_party
cd third_party
git clone https://github.com/taoyds/test-suite-sql-eval
cd ..

Put the 'predicted_sql.txt' in the current directory.

Then you can run evaluation with following command, and you will see the results on dev data.
For testing, you just need to replace 'dev_gold.sql' with your test data, folder 'database' with your database and 'spider/tables.json' with your test tables.json.

python third_party/test-suite-sql-eval/evaluation.py --gold dev_gold.sql --pred predicted_sql.txt --db database --table data/spider/tables.json --etype all