{"url":"/dataset/long-term-crowd-flow","name":"Long-Term Crowd Flow","full_name":null,"description_markdown":"A synthetic dataset of procedurally generated environments, dynamically simulated crowd flows, and statically derived “proxy” crowd flows (which have more error but are more efficient to compute), for model training and evaluation.\r\n\r\nSource: [Laying the Foundations of Deep Long-Term Crowd Flow Prediction](/paper/laying-the-foundations-of-deep-long-term)","description_withheld":null,"homepage":"https://github.com/SSSohn/ltcf","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/laying-the-foundations-of-deep-long-term","title":"Laying the Foundations of Deep Long-Term Crowd Flow Prediction","first_author":"Samuel S. Sohn","url":null},"license":null,"modalities":[],"tasks":[],"languages":[],"variants":["Long-Term Crowd Flow"],"data_loaders":[{"repo":"https://github.com/SSSohn/LTCF","url":"https://github.com/SSSohn/ltcf","frameworks":[]}],"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."}