For each possible input data source, we will need to define the SQL schema and make available for the authors. For example, study data, define xml (dataset, variable, and VLM metadata), library ...

Abstract: This paper introduces G-SQL, a schema-aware and rule-guided framework for translating Natural Language Queries (NLQ) into SQL, designed to support users with limited technical expertise.

Microsoft is making it easier to migrate to Azure SQL by taking the grunt work out of schema setup. A new update to Azure Database Migration Service (DMS) introduces a built-in schema migration tool ...

You have three flexible options for defining your ticker universe: Run the script to auto-fetch the S&P 500: python _2_get_sp500_tickers.py Manually replace the default ticker list in output/Static ...

Schema markup is a powerful tool for boosting your website’s SEO, yet many site owners overlook its potential. This comprehensive guide offers practical, real-world examples of how to effectively ...

Abstract: Existing multi-turn Text-to-SQL approaches, mainly use data in a randomized order when training the model, ignoring the rich structural information contained in the dialog and schema. In ...