Making Sense Of Sounds: Data for the machine learning challenge 2018
收藏DataCite Commons2025-03-12 更新2025-04-17 收录
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https://salford.figshare.com/articles/dataset/Making_Sense_Of_Sounds_Data_for_the_machine_learning_challenge_2018/6901475/3
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资源简介:
These are the datasets for the Making Sense Of Sounds challenge 2018. The Development download contains the following:<br>* Folder 'Development' with 1500 audio files, divided equally into five category subfolders: Music, Human, Nature, Effects, and Urban.<br>* File 'Logsheet_Development.csv, a listing of every file, plus their category, and event type. <br><br><br>The Evaluation download contains the following:<br>* Folder 'Evaluation' with 500 audio files, not further allocated to any subfolders.<br>* File 'Logsheet_Evaluation.csv', a listing of all files in the Evaluation dataset.<br>It should be assumed that all files in this challenge are
provided under the licence CC-BY-NC 4.0 (Creative Commons, Attribution
Noncommercial<sup>1</sup>).
This is the most restrictive licence of any file in the dataset, though some
were also provided under CC0<sup>2</sup> and CC-BY<sup>3</sup>.
A complete listing of the exact licences and author attributions is contained in 'MSoS_challenge_2018_File_credits_Usage_info_v1-00.zip', <br>See the challenge home page for full details about the dataset and challenge results:http://cvssp.org/projects/making_sense_of_sounds/site/challenge<br><br><br>References:1) https://creativecommons.org/licenses/by-nc/4.0/2) https://creativecommons.org/publicdomain/zero/1.0/ 3) https://creativecommons.org/licenses/by/4.0/<br>
提供机构:
University of Salford
创建时间:
2018-11-26



