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Dataset: math_dataset π·

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#### Description

#### Citation

#### Models trained or fine-tuned on math_dataset

How to load this dataset directly with the
`π€/nlp`

library:

from nlp import load_dataset dataset = load_dataset("math_dataset")

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 = nlp.load_dataset( 'math_dataset/arithmetic__mul', split=['train', 'test'], as_supervised=True)

@article{2019arXiv, author = {Saxton, Grefenstette, Hill, Kohli}, title = {Analysing Mathematical Reasoning Abilities of Neural Models}, year = {2019}, journal = {arXiv:1904.01557} }

None yet. Start fine-tuning now =)