Metadata-Version: 2.1
Name: mathematics-dataset
Version: 1.0
Summary: A synthetic dataset of school-level mathematics questions
Home-page: https://github.com/deepmind/mathematics_dataset
Author: DeepMind
Author-email: saxton@google.com
License: Apache License, Version 2.0
Keywords: mathematics dataset
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Environment :: Console
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: POSIX :: Linux
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Requires-Dist: absl-py (>=0.1.0)
Requires-Dist: numpy (>=1.10)
Requires-Dist: six
Requires-Dist: sympy (>=1.2)

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).


