AQuA-RAT (Algebra Question Answering with Rationales)

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 program that solves the question.

View paperView source on GitHub

OpenSource

11 May 2017