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Acoustic Scene Classification datasets

archive 2025-07-28

10 datasets carry the task tag "Acoustic Scene Classification" (the task itself: Acoustic Scene Classification), ordered by the archive's paper count. Page 1 of 1: 10 shown of 10. Facet routes are this site's own (the archive records the tag string, not a page).

The archive holds 12,214 dataset rows; 12,172 are listed. 6 are withheld from every listing and count here as vandalised before snapshot (6 with contact-centre spam in the title, 0 with a spam description on a row that has no homepage, no paper and no papers counted; none with more than 1 paper, 0 with a benchmark), listed in withheld.json; 1 listed row carries a vandalised description, withheld on its page. This gate never withholds a row with a homepage or a paper that resolves, and a clean description; the content rules below withhold a row whose name is spam whatever else it carries. The gate is a phrase list: these are the rows it caught, not a claim that the rest is clean. Before that gate, the site's content rules withhold 36 more rows (invite-code, gambling, travel-booking, contact-centre and similar spam in the name or on a row with nothing real behind it); they have no page and are listed in withheld.json.

Filter 51 task tags shown of 3,717, by dataset count; the full filter by modality, task and language is on /datasets

Acoustic Scene Classification datasets 1–10 of 10

The MTG-Jamendo dataset is an open dataset for music auto-tagging.
39 papers · 0 benchmarks
DCASE 2016 is a dataset for sound event detection.
31 papers · 0 benchmarks
TAU Urban Acoustic Scenes 2019 development dataset consists of 10-seconds audio segments from 10 acoustic scenes: airport, indoor shopping mall, metro station, pedestrian street, public square, street with medium level of traffic,…
14 papers · 2 benchmarks
The TUT Acoustic Scenes 2017 dataset is a collection of recordings from various acoustic scenes all from distinct locations.
13 papers · 1 benchmark
DCASE 2013 is a dataset for sound event detection.
11 papers · 0 benchmarks
CochlScene is a dataset for acoustic scene classification.
7 papers · 1 benchmark
DCASE 2019 Mobile (TAU Urban Acoustic Scenes 2019 Mobile)
TAU Urban Acoustic Scenes 2019 Mobile development dataset consists of 10-seconds audio segments from 10 acoustic scenes: Airport Indoor shopping mall Metro station Pedestrian street Public square Street with medium level of traffic…
5 papers · 1 benchmark
The LITIS-Rouen dataset is a dataset for audio scenes.
3 papers · 0 benchmarks
The dataset for this task is the TUT Urban Acoustic Scenes 2018 dataset, consisting of recordings from various acoustic scenes.
2 papers · 1 benchmark
The TUT Sounds Event 2018 dataset consists of real-life first order Ambisonic (FOA) format recordings with stationary point sources each associated with a spatial coordinate.
0 papers · 0 benchmarks

Paper counts and descriptions are the archive's, frozen 2025-07-28; no citation counts, no stars, no trending. Sorting by "most cited" or "newest" was a live-site feature the archive does not carry.