Omkar2118/datasets huggingface dataset:
AQUA-RAT
Full name: Algebra Question Answering with Rationales

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/AQuA](https://github.com/deepmind/AQuA)

Introducing paper: Program Induction by Rationale Generation : Learning to Solve and Explain Algebraic Word Problems