Datasets › AQUA-RAT

AQUA-RAT (Algebra Question Answering with Rationales)

Introduced by Wang Ling et al. in Program Induction by Rationale Generation : Learning to Solve and Explain Algebraic Word Problems archive 2025-07-28

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

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 64 papers for it but never published that list.

Dataset loaders archive 2025-07-28

4 loaders as listed in the archive; links are outbound and not re-checked here.

Tasks archive 2025-07-28

License archive 2025-07-28

Apache 2.0

Modalities archive 2025-07-28

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • AQUA-RAT

1 variant name, as the archive lists them.

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