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paperswithcode_id: mathematics
pretty_name: Mathematics Dataset
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path: numbers__gcd/test-*
- config_name: numbers__gcd_composed
data_files:
- split: train
path: numbers__gcd_composed/train-*
- split: test
path: numbers__gcd_composed/test-*
- config_name: numbers__is_factor
data_files:
- split: train
path: numbers__is_factor/train-*
- split: test
path: numbers__is_factor/test-*
- config_name: numbers__is_factor_composed
data_files:
- split: train
path: numbers__is_factor_composed/train-*
- split: test
path: numbers__is_factor_composed/test-*
- config_name: numbers__is_prime
data_files:
- split: train
path: numbers__is_prime/train-*
- split: test
path: numbers__is_prime/test-*
- config_name: numbers__is_prime_composed
data_files:
- split: train
path: numbers__is_prime_composed/train-*
- split: test
path: numbers__is_prime_composed/test-*
- config_name: numbers__lcm
data_files:
- split: train
path: numbers__lcm/train-*
- split: test
path: numbers__lcm/test-*
- config_name: numbers__lcm_composed
data_files:
- split: train
path: numbers__lcm_composed/train-*
- split: test
path: numbers__lcm_composed/test-*
- config_name: numbers__list_prime_factors
data_files:
- split: train
path: numbers__list_prime_factors/train-*
- split: test
path: numbers__list_prime_factors/test-*
- config_name: numbers__list_prime_factors_composed
data_files:
- split: train
path: numbers__list_prime_factors_composed/train-*
- split: test
path: numbers__list_prime_factors_composed/test-*
- config_name: numbers__place_value
data_files:
- split: train
path: numbers__place_value/train-*
- split: test
path: numbers__place_value/test-*
- config_name: numbers__place_value_composed
data_files:
- split: train
path: numbers__place_value_composed/train-*
- split: test
path: numbers__place_value_composed/test-*
- config_name: numbers__round_number
data_files:
- split: train
path: numbers__round_number/train-*
- split: test
path: numbers__round_number/test-*
- config_name: numbers__round_number_composed
data_files:
- split: train
path: numbers__round_number_composed/train-*
- split: test
path: numbers__round_number_composed/test-*
- config_name: polynomials__add
data_files:
- split: train
path: polynomials__add/train-*
- split: test
path: polynomials__add/test-*
Dataset Card for "math_dataset"
Table of Contents
- Dataset Description
- Dataset Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
Dataset Description
- Homepage: https://github.com/deepmind/mathematics_dataset
- Repository: More Information Needed
- Paper: More Information Needed
- Point of Contact: More Information Needed
- Size of downloaded dataset files: 130.65 GB
- Size of the generated dataset: 9.08 GB
- Total amount of disk used: 139.73 GB
Dataset Summary
Mathematics database.
This dataset code generates mathematical question and answer pairs, from a range of question types at roughly school-level difficulty. This is designed to test the mathematical learning and algebraic reasoning skills of learning models.
Original paper: Analysing Mathematical Reasoning Abilities of Neural Models (Saxton, Grefenstette, Hill, Kohli).
Example usage: train_examples, val_examples = datasets.load_dataset( 'math_dataset/arithmetic__mul', split=['train', 'test'], as_supervised=True)
Supported Tasks and Leaderboards
Languages
Dataset Structure
Data Instances
algebra__linear_1d
- Size of downloaded dataset files: 2.33 GB
- Size of the generated dataset: 92.60 MB
- Total amount of disk used: 2.43 GB
An example of 'train' looks as follows.
algebra__linear_1d_composed
- Size of downloaded dataset files: 2.33 GB
- Size of the generated dataset: 200.58 MB
- Total amount of disk used: 2.53 GB
An example of 'train' looks as follows.
algebra__linear_2d
- Size of downloaded dataset files: 2.33 GB
- Size of the generated dataset: 127.41 MB
- Total amount of disk used: 2.46 GB
An example of 'train' looks as follows.
algebra__linear_2d_composed
- Size of downloaded dataset files: 2.33 GB
- Size of the generated dataset: 235.59 MB
- Total amount of disk used: 2.57 GB
An example of 'train' looks as follows.
algebra__polynomial_roots
- Size of downloaded dataset files: 2.33 GB
- Size of the generated dataset: 164.01 MB
- Total amount of disk used: 2.50 GB
An example of 'train' looks as follows.
Data Fields
The data fields are the same among all splits.
algebra__linear_1d
question
: astring
feature.answer
: astring
feature.
algebra__linear_1d_composed
question
: astring
feature.answer
: astring
feature.
algebra__linear_2d
question
: astring
feature.answer
: astring
feature.
algebra__linear_2d_composed
question
: astring
feature.answer
: astring
feature.
algebra__polynomial_roots
question
: astring
feature.answer
: astring
feature.
Data Splits
name | train | test |
---|---|---|
algebra__linear_1d | 1999998 | 10000 |
algebra__linear_1d_composed | 1999998 | 10000 |
algebra__linear_2d | 1999998 | 10000 |
algebra__linear_2d_composed | 1999998 | 10000 |
algebra__polynomial_roots | 1999998 | 10000 |
Dataset Creation
Curation Rationale
Source Data
Initial Data Collection and Normalization
Who are the source language producers?
Annotations
Annotation process
Who are the annotators?
Personal and Sensitive Information
Considerations for Using the Data
Social Impact of Dataset
Discussion of Biases
Other Known Limitations
Additional Information
Dataset Curators
Licensing Information
Citation Information
@article{2019arXiv,
author = {Saxton, Grefenstette, Hill, Kohli},
title = {Analysing Mathematical Reasoning Abilities of Neural Models},
year = {2019},
journal = {arXiv:1904.01557}
}
Contributions
Thanks to @patrickvonplaten, @lewtun, @thomwolf for adding this dataset.