遇见数据集

Making Sense Of Sounds: Data for the machine learning challenge 2018

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DataCite Commons2020-08-28 更新2025-04-17 收录
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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 will be released at the close of the challenge. Attribution information is being withheld until then to prevent the gathering of any classification data based on the original file names. <br>See the challenge home page for full details about the dataset, and rules for taking part: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:
2018-10-01
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