AQUA-RAT (Algebra Question Answering with Rationales)
Introduced by Ling et al. in Program Induction by Rationale Generation : Learning to Solve and Explain Algebraic Word Problems
Algebra Question Answering with Rationales (AQUA-RAT) is a dataset that contains algebraic word problems with rationales. The dataset consists of about 100,000 algebraic word problems with natural language rationales. Each problem is a json object consisting of four parts: * question - A natural language definition of the problem to solve * options - 5 possible options (A, B, C, D and E), among which one is correct * rationale - A natural language description of the solution to the problem * correct - The correct option
Source: https://github.com/deepmind/AQuAPapers
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