msaneme/text2sql-evaluation-artifacts: Text-to-SQL Evaluation Artifacts (v1.0.1)

This release provides the experimental artifacts supporting the evaluation of large language models for Text-to-SQL translation, as reported in the associated IEEE Access manuscript.

The release includes:

• Complete prompt instances for each evaluated natural language query (NLQ).
• Expert-defined reference SQL queries used for execution-based evaluation.
• The full relational database schema employed in the experiments.
• Shared LLM generation parameters ensuring consistent and reproducible evaluation.
• Security-oriented prompt templates used in the preliminary validation of the proposed security framework.

These materials are made publicly available to support transparency and reproducibility of the experimental setup.