### Performance on the BIRD Development Set
We further evaluate **DatA-SQL-3B** on the **BIRD** development set using different self-consistency voting sizes.
Under **Vote@8**, our model attains an **execution accuracy (EX) of 61.05 %**.
When the voting size increases to **Vote@32**, the EX further improves to **62.58 %**.
Overall, **DatA-SQL** achieves competitive or superior accuracy compared with GPT-based pipelines at only a fraction of their computational expense.
