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Table · dataset · 2022

Algebra Question Answering with Rationales

Listed in Hugging Face Datasets

Dataset Card for AQUA-RAT Dataset

Description

Summary

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.

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

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Where it is published

Documentation and papers

Catalogue records · 1

Topics

Stated by source
question answering · text
Inferred from text
Artificial intelligence 70%
Provenance · 1 source records, 11 field assertions
SourceKeyLast seenRaw
Hugging Face Datasetsdeepmind/aqua_rat14 d agoJSON v1
FieldAssertionExtractorEvidence
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