{"url":"/dataset/symbolicdata","name":"SymbolicData","full_name":"A Tree-based Symbolic Dataset For Symbolic Regression","description_markdown":"This dataset is a collection of input-label pairs where each input is in the form of a numerical dataset, itself a set of input and output pairs {(x, y)}, and the corresponding label is a string encoding the symbolic expression governing the relationship between variables in the numerical dataset.\r\n\r\nSource: [SymbolicGPT: A Generative Transformer Model for Symbolic Regression](https://arxiv.org/pdf/2106.14131v1.pdf)","description_withheld":null,"homepage":"https://drive.google.com/drive/folders/19HsGO_dMgx2xHQBJmgU8-ngy47cU-lNk?usp=sharing","introduced_date":"2021-06-27","introduced_date_note":null,"introduced_by":{"paper":"/paper/symbolicgpt-a-generative-transformer-model","title":"SymbolicGPT: A Generative Transformer Model for Symbolic Regression","first_author":"Mojtaba Valipour","url":null},"license":{"name":"CC BY","url":null},"modalities":[],"tasks":[],"languages":[],"variants":["SymbolicData"],"data_loaders":[],"num_papers_in_archive":2,"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."}