[Improvement] Advanced SQL Generation (RESDSQL)

[alex-sun-kuo]

https://github.com/RUCKBReasoning/RESDSQL

^ This repo has an implementation of this paper: https://arxiv.org/pdf/2302.05965.pdf It details an advanced strategy for generating accurate SQL to answer a natural language query. As far as I understand there's a muli-step sequential process:

• table selection
• column selection
• generation of a SQL skeleton (think madlib for SQL queries lol)
• filling in that SQL skeleton

It would be dope to implement this in our project. It would help us scale up to larger datasets.

Currently, we just do:

• table selection
• generate SQL given these tables and their columns

[asaprahul]

wow interesting stuff. this is optimizing on the encoder / decoder level for optimal SQL generation.

Ranking-enhanced Encoding and Skeleton-aware Decoding

I'm gonna try to understand this. Also tried looking for this model on HuggingFace but couldn't find it, otherwise that would be pretty awesome