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A synthetic dataset of school-level mathematics questions

Project description

A synthetic dataset of school-level mathematics questions.

This dataset code generates mathematical question and answer pairs, from a range of question types (such as in arithmetic, algebra, probability, etc), at roughly school-level difficulty. This is designed to test the mathematical learning and reasoning skills of learning models.

Original paper: Analysing Mathematical Reasoning Abilities of Neural Models (Saxton, Grefenstette, Hill, Kohli) (https://openreview.net/pdf?id=H1gR5iR5FX).

Project details


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Files for mathematics-dataset, version 1.0.1
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