Sign inGet started
Dataset · Hugging Face

alexwengg/shop-sql-flint-distill

Shop SQL: text-to-SQL pairs distilled from Flint This dataset has 1,244 English questions paired with SQLite queries for one demo database, an online shop. Every pair was written and checked by Recursive Flint (40B-A2.5B) running locally on a Mac. It was used to train alexwengg/shop-sql-0.6b-mlx-4bit, a 331 MB model that answers in about 0.2 s. The repo also has everything needed to reproduce or extend it: the database, the data generator, the training config, the evaluation… See the full description on the dataset page: https://huggingface.co/datasets/alexwengg/shop-sql-flint-distill.

Author / organizationalexwengg
License (as declared)apache-2.0
Downloads0 (as reported by Hugging Face)
Likes0
Created23 October 2026
Last updated at source23 October 2026
text-to-sqlsqlsqlitesyntheticdistillation
Embed this entry
<iframe src="https://silytics.si/embed/item/4190e32f-288f-4178-bbdf-99336d3ea621" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Connected in the knowledge graph

Explore this entry in the graph

More from alexwengg

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 23 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.