{"url":"/dataset/frustrated-legislators-replication-data-and","name":"Frustrated Legislators: Replication data and code","full_name":null,"description_markdown":"Description: Replication data and code for\r\nAref, S., and Neal, Z.P., \"Identifying hidden coalitions in the US House of Representatives by optimally partitioning signed networks based on generalized balance\" (2021) Scientific Reports. http://dx.doi.org/10.1038/s41598-021-98139-w","description_withheld":null,"homepage":"https://osf.io/3qtfb/","introduced_date":null,"introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[],"tasks":[],"languages":[],"variants":["Frustrated Legislators: Replication data and code"],"data_loaders":[],"num_papers_in_archive":0,"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."}