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The development 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 development 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 development dataset contains 6000 MIDI files with monophonic melodies generated by artificial intelligence algorithms. The tempo is between the 68bpm and&amp;nbsp;118bpm (beat per minute).&amp;nbsp;The length of each melody is 8 bars,&amp;nbsp;and the melody does not necessarily include complete phrase structures. There are two datasets with different music styles used as the training dataset of a certain number of algorithms, where the melodies in the development dataset are generated.&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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Publication date:
July 15, 2020
DOI:
10.5281/zenodo.3944685

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Keyword(s):
MIDI CSMT data challenge AI music composition
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