This repository contains the curated supervised fine-tuning (SFT),
reinforcement learning (RL), and empirical-pool data released with
ACE-SQL: Adaptive Co-Optimization via Empirical Credit Assignment for
Text-to-SQL.
ACE-SQL trains a shared language-model policy in two roles: a schema retriever
that selects the minimum required database columns, and a SQL generator that
operates on the resulting pruned schema. The SFT data provides a cold start for
both… See the full description on the dataset page:
https://huggingface.co/datasets/xiaobing11/ACE-SQL.