{"url":"/dataset/hyperbard","name":"Hyperbard","full_name":null,"description_markdown":"Hyperbard is a dataset of diverse relational data representations derived from Shakespeare's plays. Our representations range from simple graphs capturing character co-occurrence in single scenes to hypergraphs encoding complex communication settings and character contributions as hyperedges with edge-specific node weights. By making multiple intuitive representations readily available for experimentation, we facilitate rigorous representation robustness checks in graph learning, graph mining, and network analysis, highlighting the advantages and drawbacks of specific representations.","description_withheld":null,"homepage":"https://doi.org/10.5281/zenodo.6627158","introduced_date":"2022-06-16","introduced_date_note":null,"introduced_by":{"paper":"/paper/all-the-world-s-a-hyper-graph-a-data-drama","title":"All the World's a (Hyper)Graph: A Data Drama","first_author":"Corinna Coupette","url":null},"license":{"name":"Creative Commons Non-Commercial (Any)","url":"https://creativecommons.org/licenses/by-nc/2.0/"},"modalities":[],"tasks":[],"languages":[],"variants":["Hyperbard"],"data_loaders":[],"num_papers_in_archive":1,"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."}