# Dataset:

# Dataset Card for "math_dataset"

### 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

### Languages

## Dataset Structure

We show detailed information for up to 5 configurations of the dataset.

### Data Instances

#### algebra__linear_1d

**Size of downloaded dataset files:**2225.00 MB**Size of the generated dataset:**88.31 MB**Total amount of disk used:**2313.31 MB

An example of 'train' looks as follows.

#### algebra__linear_1d_composed

**Size of downloaded dataset files:**2225.00 MB**Size of the generated dataset:**191.29 MB**Total amount of disk used:**2416.29 MB

An example of 'train' looks as follows.

#### algebra__linear_2d

**Size of downloaded dataset files:**2225.00 MB**Size of the generated dataset:**121.51 MB**Total amount of disk used:**2346.51 MB

An example of 'train' looks as follows.

#### algebra__linear_2d_composed

**Size of downloaded dataset files:**2225.00 MB**Size of the generated dataset:**224.68 MB**Total amount of disk used:**2449.68 MB

An example of 'train' looks as follows.

#### algebra__polynomial_roots

**Size of downloaded dataset files:**2225.00 MB**Size of the generated dataset:**156.41 MB**Total amount of disk used:**2381.41 MB

An example of 'train' looks as follows.

### Data Fields

The data fields are the same among all splits.

#### algebra__linear_1d

`question`

: a`string`

feature.`answer`

: a`string`

feature.

#### algebra__linear_1d_composed

`question`

: a`string`

feature.`answer`

: a`string`

feature.

#### algebra__linear_2d

`question`

: a`string`

feature.`answer`

: a`string`

feature.

#### algebra__linear_2d_composed

`question`

: a`string`

feature.`answer`

: a`string`

feature.

#### algebra__polynomial_roots

`question`

: a`string`

feature.`answer`

: a`string`

feature.

### Data Splits Sample Size

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

### Annotations

### 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.