{"url":"/dataset/random-signals-for-recurrent-autoencoder","name":"Random Signals for Recurrent Autoencoder","full_name":null,"description_markdown":"The dataset contains generated random signals for autoencoding purposes.\r\nIt was used as a benchmark for autoencoder performance comparison.\r\nAll dataset files are \"pickled\" and placed in the folder `datasets` in https://github.com/rsusik/raesc","description_withheld":null,"homepage":"https://github.com/rsusik/raesc/tree/master/datasets","introduced_date":"2020-09-15","introduced_date_note":null,"introduced_by":{"paper":"/paper/recurrent-autoencoder-with-sequence-aware","title":"Recurrent autoencoder with sequence-aware encoding","first_author":"Robert Susik","url":null},"license":{"name":"MIT","url":"https://github.com/rsusik/raesc/blob/master/LICENSE"},"modalities":[],"tasks":[],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["Random Signals for Recurrent Autoencoder"],"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."}