{"url":"/dataset/mathematics","name":"Mathematics Dataset","full_name":null,"description_markdown":"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.\r\n\r\nSource: [DeepMind](https://github.com/deepmind/mathematics_dataset)","description_withheld":null,"homepage":"https://github.com/deepmind/mathematics_dataset","introduced_date":"2019-04-02","introduced_date_note":null,"introduced_by":{"paper":"/paper/analysing-mathematical-reasoning-abilities-of-1","title":"Analysing Mathematical Reasoning Abilities of Neural Models","first_author":"David Saxton","url":null},"license":{"name":"Apache License 2.0","url":"https://github.com/deepmind/mathematics_dataset/blob/master/LICENSE"},"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Question Answering","url":"/task/question-answering","datasets_with_task":"/datasets/task/question-answering"},{"name":"Mathematical Question Answering","url":"/task/mathematical-question-answering","datasets_with_task":"/datasets/task/mathematical-question-answering"},{"name":"Systematic Generalization","url":"/task/systematic-generalization","datasets_with_task":"/datasets/task/systematic-generalization"}],"languages":[],"variants":["Mathematics Dataset"],"data_loaders":[{"repo":"https://github.com/huggingface/datasets","url":"https://huggingface.co/datasets/deepcode-ai/math_dataset","frameworks":["tf","pytorch","jax"]},{"repo":"https://github.com/huggingface/datasets","url":"https://huggingface.co/datasets/deepmind/math_dataset","frameworks":["tf","pytorch","jax"]},{"repo":"https://github.com/huggingface/datasets","url":"https://huggingface.co/datasets/math_dataset","frameworks":["tf","pytorch","jax"]},{"repo":"https://github.com/tensorflow/datasets","url":"https://www.tensorflow.org/datasets/catalog/math_dataset","frameworks":["tf","jax"]},{"repo":"https://github.com/deepmind/mathematics_dataset","url":"https://github.com/deepmind/mathematics_dataset","frameworks":[]}],"num_papers_in_archive":19,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/question-answering-on-mathematics-dataset","task":"Question Answering","dataset_variant":"Mathematics Dataset","rows":3,"metrics":["Accuracy"],"first_row_in_archive_order":{"model":"TP-Transformer","paper":"/paper/enhancing-the-transformer-with-explicit-1","metrics":{"Accuracy":"0.8192"},"code_links":[{"title":"ischlag/TP-Transformer","url":"https://github.com/ischlag/TP-Transformer"},{"title":"jlrussin/interpret-math-transformer","url":"https://github.com/jlrussin/interpret-math-transformer"},{"title":"andrear632/ProjectDeepLearning","url":"https://github.com/andrear632/ProjectDeepLearning"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/enhancing-the-transformer-with-explicit-1","title":"Enhancing the Transformer with Explicit Relational Encoding for Math Problem Solving","date":"2019-10-15","rows_on_this_dataset":1,"code_links":3,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":11,"samples_ran":1,"samples_unverified":10,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/analysing-mathematical-reasoning-abilities-of-1","title":"Analysing Mathematical Reasoning Abilities of Neural Models","date":"2019-04-02","rows_on_this_dataset":2,"code_links":7,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":1,"samples_ran":0,"samples_unverified":1,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":2,"samples_harvested":12,"samples_ran":1,"samples_unverified":11,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":1,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}