trl-lab/SQaLe-2-text-to-SQL-Queries
SQaLe: questions and SQL Project page · Schemas and databases · Trained models · Python library · Citation SQaLe is a large semi-synthetic text-to-SQL dataset grounded in real-world database schemas, introduced in the paper SQaLe: a large realistic dataset to empower small specialised text-to-SQL models. It pairs 1,408,056 natural-language questions with 176,761 distinct SQL queries over 9,259 populated SQLite databases. The schemas come from SchemaPile, a collection of database… See the full description on the dataset page: https://huggingface.co/datasets/trl-lab/SQaLe-2-text-to-SQL-Queries.
| Author / organization | trl-lab |
|---|---|
| License (as declared) | mit |
| Downloads | 321 (as reported by Hugging Face) |
| Likes | 1 |
| Created | 24 September 2026 |
| Last updated at source | 2 October 2026 |
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Connected in the knowledge graph
- mradermacher/qwen3.5-2b-grpo-sqale-GGUFModel · used to train
- trl-lab/qwen3.5-2b-grpo-sqaleModel · used to train
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