cwolff/data_work_in_progress

SQaLe 2 - Work in Progress Using the SQaLe Library The SQaLe library turns this dataset into ready-to-query SQLite databases — one .db file per unique schema, pre-populated with the synthetic row data. Install: pip install SQaLe CLI — download and materialize schemas directly from HuggingFace: # All unique schemas sqale-extract --output ./dbs # First 100 unique schemas only sqale-extract --output ./dbs --limit 100 Python API: from sqale import deserialize_sqale… See the full description on the dataset page: https://huggingface.co/datasets/cwolff/data_work_in_progress.

<iframe src="https://silytics.si/embed/item/e3c92944-fac0-48c8-add4-42885d96f312" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 16 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.