{"url":"/dataset/litis-rouen","name":"LITIS Rouen","full_name":"LITIS Rouen","description_markdown":"The LITIS-Rouen dataset  is a dataset for audio scenes. It consists of 3026 examples of 19 scene categories. Each class is specific to a location such as a train station or an open market. The audio recordings have a duration of 30 seconds and a sampling rate of 22050 Hz. The dataset has a total duration of 1500 minutes.\n\nSource: [Spatio-Temporal Attention Pooling for Audio Scene Classification](https://arxiv.org/abs/1904.03543)\nImage Source: [https://www.researchgate.net/figure/Summary-of-Litis-Rouen-audio-scene-dataset_tbl1_329608235](https://www.researchgate.net/figure/Summary-of-Litis-Rouen-audio-scene-dataset_tbl1_329608235)","description_withheld":null,"homepage":"https://homepages.tuni.fi/toni.heittola/datasets","introduced_date":"2015-01-01","introduced_date_note":null,"introduced_by":{"paper":null,"title":"Histogram of Gradients of Time-Frequency Representations for Audio Scene Classification","first_author":null,"url":"https://doi.org/10.1109/TASLP.2014.2375575"},"license":null,"modalities":[{"name":"Audio","url":"/datasets/modality/audio"}],"tasks":[{"name":"Acoustic Scene Classification","url":"/task/acoustic-scene-classification","datasets_with_task":"/datasets/task/acoustic-scene-classification"},{"name":"Data Augmentation","url":"/task/data-augmentation","datasets_with_task":"/datasets/task/data-augmentation"},{"name":"Scene Classification","url":"/task/scene-classification","datasets_with_task":"/datasets/task/scene-classification"}],"languages":[],"variants":["LITIS Rouen"],"data_loaders":[],"num_papers_in_archive":3,"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."}