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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 and Leaderboards

More Information Needed

Languages

More Information Needed

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: 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

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

More Information Needed

Source Data

Initial Data Collection and Normalization

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Who are the source language producers?

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Annotations

Annotation process

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Who are the annotators?

More Information Needed

Personal and Sensitive Information

More Information Needed

Considerations for Using the Data

Social Impact of Dataset

More Information Needed

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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