This is a dataset for training machine learning models to convert natural
English language text into SQLite dialect SQL queries.
This dataset comprises 200,000 DPO pairs curated to support the rapid
development of text-to-SQL generation models. The uniqueness of this dataset
lies in its optimization process. The "chosen" field within each data pair
contains SQL queries that have been canonicalized, optimized, and which are
chosen from the candidate set which… See the full description on the dataset page:
https://huggingface.co/datasets/zerolink/zsql-sqlite-dpo.