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

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Languages

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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

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Source Data

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Annotations

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Personal and Sensitive Information

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Considerations for Using the Data

Social Impact of Dataset

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Discussion of Biases

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Other Known Limitations

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Additional Information

Dataset Curators

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Licensing Information

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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.

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