The article introduces ACL-SQL, a method to help computers understand and convert ordinary language into complex SQL database queries. It aims to make writing these queries easier for dealing with big, complicated databases. Previous methods struggled with queries involving multiple database tables. The new method handles such queries better. The researchers created a dataset called ACL-SQL containing tough queries that rely on up to five different database tables. Their study found that their method worked well and accurately converted natural language to SQL queries, making it useful for real-world applications. The dataset and tools they used for the study can be accessed online at a specific web address.