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Table · dataset · 2025

SQaLe: A large text-to-SQL corpus grounded in real schemas

Listed in Hugging Face Datasets

🧮 SQALE: A Large-Scale Semi-Synthetic Dataset SQALE is a large-scale, semi-synthetic Text-to-SQL dataset grounded in real-world database schemas.

Description

It was designed to push the boundaries of natural language to SQL generation, combining realistic schema diversity, complex query structures, and linguistically varied natural language questions. The dataset was introduced in the paper SQaLe: A Large Text-to-SQL Corpus Grounded in Real Schemas.

The code for the generation pipeline of this… See the full description on the dataset page: huggingface.co/datasets/trl-lab/SQaLe-text-to-SQL-dataset.

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Where it is published

Documentation and papers

Catalogue records · 1

Topics

Stated by source
tabular · text · text generation
Inferred from text
Artificial intelligence 71%
Provenance · 1 source records, 12 field assertions
SourceKeyLast seenRaw
Hugging Face Datasetstrl-lab/SQaLe-text-to-SQL-dataset15 d agoJSON v1
FieldAssertionExtractorEvidence
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concepts[modality].hf_modality:textsource · Hugging Faceconnector:huggingface@1.0.0
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