Dataset Open Access

The development dataset of the AI composition recognition competition, CSMT2020

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


MARC21 XML Export

<?xml version='1.0' encoding='UTF-8'?>
<record xmlns="http://www.loc.gov/MARC21/slim">
  <leader>00000nmm##2200000uu#4500</leader>
  <datafield tag="041" ind1=" " ind2=" ">
    <subfield code="a">eng</subfield>
  </datafield>
  <datafield tag="653" ind1=" " ind2=" ">
    <subfield code="a">MIDI</subfield>
  </datafield>
  <datafield tag="653" ind1=" " ind2=" ">
    <subfield code="a">CSMT data challenge</subfield>
  </datafield>
  <datafield tag="653" ind1=" " ind2=" ">
    <subfield code="a">AI music composition</subfield>
  </datafield>
  <controlfield tag="005">20200715005919.0</controlfield>
  <controlfield tag="001">3944685</controlfield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="u">Beijing University of Posts and Telecommunications</subfield>
    <subfield code="a">Li, Shengchen</subfield>
  </datafield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="u">Beijing Zhongwen Law Firm</subfield>
    <subfield code="a">Zhou, Wei</subfield>
  </datafield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="u">Beijing Acoustics Society</subfield>
    <subfield code="a">Zhu, Yidan</subfield>
  </datafield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="u">China Conservatory of Music</subfield>
    <subfield code="a">Li, Zijin</subfield>
  </datafield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="u">Queen Mary University of London</subfield>
    <subfield code="a">Fazekas, George</subfield>
  </datafield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="u">Beijing University of Posts and Telecommunications</subfield>
    <subfield code="a">Zhang, Ru</subfield>
  </datafield>
  <datafield tag="856" ind1="4" ind2=" ">
    <subfield code="s">2410228</subfield>
    <subfield code="z">md5:94aee8fac4975c82e1da44aaa8afe5aa</subfield>
    <subfield code="u">https://zenodo.org/record/3944685/files/development.zip</subfield>
  </datafield>
  <datafield tag="542" ind1=" " ind2=" ">
    <subfield code="l">open</subfield>
  </datafield>
  <datafield tag="260" ind1=" " ind2=" ">
    <subfield code="c">2020-07-15</subfield>
  </datafield>
  <datafield tag="909" ind1="C" ind2="O">
    <subfield code="p">openaire_data</subfield>
    <subfield code="o">oai:zenodo.org:3944685</subfield>
  </datafield>
  <datafield tag="100" ind1=" " ind2=" ">
    <subfield code="u">Beijing University of Posts and Telecommunications</subfield>
    <subfield code="a">Jing, Yinji</subfield>
  </datafield>
  <datafield tag="245" ind1=" " ind2=" ">
    <subfield code="a">The development dataset of  the AI composition recognition competition, CSMT2020</subfield>
  </datafield>
  <datafield tag="540" ind1=" " ind2=" ">
    <subfield code="u">https://creativecommons.org/licenses/by/4.0/legalcode</subfield>
    <subfield code="a">Creative Commons Attribution 4.0 International</subfield>
  </datafield>
  <datafield tag="650" ind1="1" ind2="7">
    <subfield code="a">cc-by</subfield>
    <subfield code="2">opendefinition.org</subfield>
  </datafield>
  <datafield tag="520" ind1=" " ind2=" ">
    <subfield code="a">&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;</subfield>
  </datafield>
  <datafield tag="773" ind1=" " ind2=" ">
    <subfield code="n">doi</subfield>
    <subfield code="i">isVersionOf</subfield>
    <subfield code="a">10.5281/zenodo.3944684</subfield>
  </datafield>
  <datafield tag="024" ind1=" " ind2=" ">
    <subfield code="a">10.5281/zenodo.3944685</subfield>
    <subfield code="2">doi</subfield>
  </datafield>
  <datafield tag="980" ind1=" " ind2=" ">
    <subfield code="a">dataset</subfield>
  </datafield>
</record>
358
268
views
downloads
All versions This version
Views 358358
Downloads 268268
Data volume 645.9 MB645.9 MB
Unique views 273273
Unique downloads 160160

Share

Cite as