{"url":"/dataset/deep-learning-for-symbolic-mathematics","name":"Deep Learning for Symbolic Mathematics","full_name":null,"description_markdown":"Integrals and Differential Equations Dataset using the generators from the paper","description_withheld":null,"homepage":"","introduced_date":"2020-01-01","introduced_date_note":null,"introduced_by":{"paper":"/paper/deep-learning-for-symbolic-mathematics-1","title":"Deep Learning for Symbolic Mathematics","first_author":"Guillaume Lample","url":null},"license":null,"modalities":[],"tasks":[],"languages":[],"variants":["Deep Learning for Symbolic Mathematics"],"data_loaders":[],"num_papers_in_archive":6,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"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."}