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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- Download URL: mathematics_dataset-1.0.1-py2-none-any.whl
- Upload date:
- Size: 93.9 kB
- Tags: Python 2
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.11.0 pkginfo/1.4.2 requests/2.20.0 setuptools/40.8.0 requests-toolbelt/0.8.0 tqdm/4.19.5 CPython/3.6.5
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