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)

Mathematics Dataset

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 questions

Question: Solve -42*r + 27*c = -1167 and 130*r + 4*c = 372 for r. Answer: 4… See the full description on the dataset page: https://huggingface.co/datasets/rayvex/Maths.

Mathematics Dataset

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 questions

Question: Solve -42*r + 27*c = -1167 and 130*r + 4*c = 372 for r. Answer: 4… See the full description on the dataset page: https://huggingface.co/datasets/cloghost/Maths.