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.
Supported Tasks and Leaderboards
Languages
en
Dataset Structure
Data Instances… See the full description on the dataset page: https://huggingface.co/datasets/deepmind/aqua_rat.
