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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Release files for mathematics-dataset 1.0.1
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| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| mathematics_dataset-1.0.1-py3-none-any.whl | Python 3 | none | any | Details for mathematics_dataset-1.0.1-py3-none-any.whl |
| mathematics_dataset-1.0.1-py2-none-any.whl | Python 2 | none | any | Details for mathematics_dataset-1.0.1-py2-none-any.whl |
Total release size: 187.8 kB
Release files / mathematics_dataset-1.0.1-py3-none-any.whl
| Download URL | mathematics_dataset-1.0.1-py3-none-any.whl |
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| Size | 93.9 kB |
| Tags | Python 3 |
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Release files / mathematics_dataset-1.0.1-py2-none-any.whl
| Download URL | mathematics_dataset-1.0.1-py2-none-any.whl |
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| Size | 93.9 kB |
| Tags | Python 2 |
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