
The dataset is consructed by taking firsst 1000 rows of the train split of [pg-wikiSQL](https://huggingface.co/datasets/kaxap/pg-wikiSQL) dataset and asking GPT-4 to transform the query and the question to be more complex using various aggregate functions.

Resulting SQL statements were adapted for Postgres syntax and conventions.

Each SQL statement, including `CREATE TABLE` statements were syntax checked with [pgsanity](https://github.com/markdrago/pgsanity).

The `total_tokens` column indicates the OpenAI API usage for the datapoint generation.
license:cc-by-nc-4.0 region:us
{"license": "cc-by-nc-4.0"}
TAGS
#license-cc-by-nc-4.0 #region-us 


The dataset is consructed by taking firsst 1000 rows of the train split of pg-wikiSQL dataset and asking GPT-4 to transform the query and the question to be more complex using various aggregate functions.

Resulting SQL statements were adapted for Postgres syntax and conventions.

Each SQL statement, including 'CREATE TABLE' statements were syntax checked with pgsanity.

The 'total_tokens' column indicates the OpenAI API usage for the datapoint generation.
TAGS
#license-cc-by-nc-4.0 #region-us 
