{"url":"/dataset/jocad","name":"JoCAD","full_name":null,"description_markdown":"**JoCAD** is a dataset for anomaly detection in citation networks.","description_withheld":null,"homepage":"https://drive.google.com/drive/folders/1Kd0BGtgMT75UYGcjcnnTNaOFwGmDlCPc","introduced_date":"2020-05-28","introduced_date_note":null,"introduced_by":{"paper":null,"title":"Unsupervised Anomaly Detection in Journal-Level Citation Networks","first_author":null,"url":null},"license":{"name":"Unknown","url":null},"modalities":[{"name":"Graphs","url":"/datasets/modality/graphs"}],"tasks":[],"languages":[],"variants":["JoCAD"],"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."}