{"url":"/dataset/dcase-2018-task-1a","name":"TUT Urban Acoustic Scenes 2018","full_name":null,"description_markdown":"The dataset for this task is the TUT Urban Acoustic Scenes 2018 dataset, consisting of recordings from various acoustic scenes. The dataset was recorded in six large european cities, in different locations for each scene class. For each recording location there are 5-6 minutes of audio. The original recordings were split into segments with a length of 10 seconds that are provided in individual files. Available information about the recordings include the following: acoustic scene class, city, and recording location.","description_withheld":null,"homepage":"","introduced_date":null,"introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[],"tasks":[{"name":"Acoustic Scene Classification","url":"/task/acoustic-scene-classification","datasets_with_task":"/datasets/task/acoustic-scene-classification"}],"languages":[],"variants":["TUT Urban Acoustic Scenes 2018"],"data_loaders":[],"num_papers_in_archive":2,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/acoustic-scene-classification-on-tut-urban","task":"Acoustic Scene Classification","dataset_variant":"TUT Urban Acoustic Scenes 2018","rows":1,"metrics":["Acc"],"first_row_in_archive_order":{"model":"ERGL: event relational graph representation learning","paper":"/paper/multi-dimensional-edge-based-audio-event","metrics":{"Acc":"78.1"},"code_links":[{"title":"yuanbo2020/ergl","url":"https://github.com/yuanbo2020/ergl"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/multi-dimensional-edge-based-audio-event","title":"Multi-dimensional Edge-based Audio Event Relational Graph Representation Learning for Acoustic Scene Classification","date":"2022-10-27","rows_on_this_dataset":1,"code_links":1,"syntology":null}],"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."}