tianchi_nl2sql

Why we included this project

This repo is the third-place solution from the first Chinese NL2SQL challenge, and it is one of the better teaching resources for text-to-SQL I have come across. Instead of a black-box model, the main branch is organized as Jupyter notebooks that walk through the whole pipeline, so you can follow how the team actually built it. The design splits the problem in two: one model picks the SELECT columns and their aggregation operations, another predicts the comparison values for WHERE conditions, with each column header tagged by special tokens in the input. The authors also kept notes on which training ideas worked and which did not, plus the final defense slides, which makes it a useful case study for anyone working on table-based question answering. Treat it as a learning reference and a starting point for a baseline, not as something you can deploy as-is.