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The evaluation dataset of the AI composition recognition competition, CSMT2020

Jing, Yinji; Li, Shengchen; Zhou, Wei; Zhu, Yidan; Li, Zijin; Fazekas, George; Zhang, Ru


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    <dct:title>The evaluation dataset of the AI composition recognition competition, CSMT2020</dct:title>
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    <dcat:keyword>MIDI</dcat:keyword>
    <dcat:keyword>CSMT data challenge</dcat:keyword>
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    <dct:description>&lt;p&gt;The evaluation dataset contains 4000 MIDI files with exact configurations of development dataset with two exceptions: 1) A number of melodies composed by human composers are added, some of which are published, and some of which are composed for this competition. The music style of the human composed melodies are the same as the styles of music in the training set. This was confirmed by musicologists. 2) There are a number of melodies generated by algorithms with minor algorithmic or parameter changes compared to the algorithms in the development dataset.&lt;/p&gt; &lt;p&gt;The development dataset:&lt;/p&gt; &lt;p&gt;&lt;a href="https://zenodo.org/record/3944685#.Xza9DegzY2x"&gt;https://zenodo.org/record/3944685#.Xza9DegzY2x&lt;/a&gt;&lt;/p&gt; &lt;p&gt;The website of the challenge:&lt;/p&gt; &lt;p&gt;&lt;a href="http://www.csmcw-csmt.cn/data/2020/ai-composition-recognition2020/"&gt;http://www.csmcw-csmt.cn/data/2020/ai-composition-recognition2020&lt;/a&gt;&amp;nbsp;(Chinese instruction)&lt;/p&gt; &lt;p&gt;&lt;a href="https://ai-composition-recognition2020.github.io/english.html"&gt;https://ai-composition-recognition2020.github.io/english.html&lt;/a&gt;&amp;nbsp;(English instruction)&lt;/p&gt;</dct:description>
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