AQuA-RAT

Dataset Card for AQUA-RAT Dataset Summary A large-scale dataset consisting of approximately 100,000 algebraic word problems. The solution to each question is explained step-by-step using natural language. This data is used to train a program generation model that learns to generate the explanation, while generating the

Papers using AQuA-RAT (3)

DeCoVec: Building Decoding Space based Task Vector for Large Language Models via In-Context Learning2026Prototype-Based Dynamic Steering for Large Language Models2025Learning to Insert [PAUSE] Tokens for Better Reasoning2025