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).
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| Filename, size mathematics_dataset-1.0.1-py2-none-any.whl (93.9 kB) | File type Wheel | Python version py2 | Upload date | Hashes View |
| Filename, size mathematics_dataset-1.0.1-py3-none-any.whl (93.9 kB) | File type Wheel | Python version py3 | Upload date | Hashes View |
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