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

DCAT Export

<?xml version='1.0' encoding='utf-8'?>
<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:adms="http://www.w3.org/ns/adms#" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dct="http://purl.org/dc/terms/" xmlns:dctype="http://purl.org/dc/dcmitype/" xmlns:dcat="http://www.w3.org/ns/dcat#" xmlns:duv="http://www.w3.org/ns/duv#" xmlns:foaf="http://xmlns.com/foaf/0.1/" xmlns:frapo="http://purl.org/cerif/frapo/" xmlns:geo="http://www.w3.org/2003/01/geo/wgs84_pos#" xmlns:gsp="http://www.opengis.net/ont/geosparql#" xmlns:locn="http://www.w3.org/ns/locn#" xmlns:org="http://www.w3.org/ns/org#" xmlns:owl="http://www.w3.org/2002/07/owl#" xmlns:prov="http://www.w3.org/ns/prov#" xmlns:rdfs="http://www.w3.org/2000/01/rdf-schema#" xmlns:schema="http://schema.org/" xmlns:skos="http://www.w3.org/2004/02/skos/core#" xmlns:vcard="http://www.w3.org/2006/vcard/ns#" xmlns:wdrs="http://www.w3.org/2007/05/powder-s#">
  <rdf:Description rdf:about="https://doi.org/10.5281/zenodo.3944685">
    <rdf:type rdf:resource="http://www.w3.org/ns/dcat#Dataset"/>
    <dct:type rdf:resource="http://purl.org/dc/dcmitype/Dataset"/>
    <dct:identifier rdf:datatype="http://www.w3.org/2001/XMLSchema#anyURI">https://doi.org/10.5281/zenodo.3944685</dct:identifier>
    <foaf:page rdf:resource="https://doi.org/10.5281/zenodo.3944685"/>
    <dct:creator>
      <rdf:Description>
        <rdf:type rdf:resource="http://xmlns.com/foaf/0.1/Agent"/>
        <foaf:name>Jing, Yinji</foaf:name>
        <foaf:givenName>Yinji</foaf:givenName>
        <foaf:familyName>Jing</foaf:familyName>
        <org:memberOf>
          <foaf:Organization>
            <foaf:name>Beijing University of Posts and Telecommunications</foaf:name>
          </foaf:Organization>
        </org:memberOf>
      </rdf:Description>
    </dct:creator>
    <dct:creator>
      <rdf:Description>
        <rdf:type rdf:resource="http://xmlns.com/foaf/0.1/Agent"/>
        <foaf:name>Li, Shengchen</foaf:name>
        <foaf:givenName>Shengchen</foaf:givenName>
        <foaf:familyName>Li</foaf:familyName>
        <org:memberOf>
          <foaf:Organization>
            <foaf:name>Beijing University of Posts and Telecommunications</foaf:name>
          </foaf:Organization>
        </org:memberOf>
      </rdf:Description>
    </dct:creator>
    <dct:creator>
      <rdf:Description>
        <rdf:type rdf:resource="http://xmlns.com/foaf/0.1/Agent"/>
        <foaf:name>Zhou, Wei</foaf:name>
        <foaf:givenName>Wei</foaf:givenName>
        <foaf:familyName>Zhou</foaf:familyName>
        <org:memberOf>
          <foaf:Organization>
            <foaf:name>Beijing Zhongwen Law Firm</foaf:name>
          </foaf:Organization>
        </org:memberOf>
      </rdf:Description>
    </dct:creator>
    <dct:creator>
      <rdf:Description>
        <rdf:type rdf:resource="http://xmlns.com/foaf/0.1/Agent"/>
        <foaf:name>Zhu, Yidan</foaf:name>
        <foaf:givenName>Yidan</foaf:givenName>
        <foaf:familyName>Zhu</foaf:familyName>
        <org:memberOf>
          <foaf:Organization>
            <foaf:name>Beijing Acoustics Society</foaf:name>
          </foaf:Organization>
        </org:memberOf>
      </rdf:Description>
    </dct:creator>
    <dct:creator>
      <rdf:Description>
        <rdf:type rdf:resource="http://xmlns.com/foaf/0.1/Agent"/>
        <foaf:name>Li, Zijin</foaf:name>
        <foaf:givenName>Zijin</foaf:givenName>
        <foaf:familyName>Li</foaf:familyName>
        <org:memberOf>
          <foaf:Organization>
            <foaf:name>China Conservatory of Music</foaf:name>
          </foaf:Organization>
        </org:memberOf>
      </rdf:Description>
    </dct:creator>
    <dct:creator>
      <rdf:Description>
        <rdf:type rdf:resource="http://xmlns.com/foaf/0.1/Agent"/>
        <foaf:name>Fazekas, George</foaf:name>
        <foaf:givenName>George</foaf:givenName>
        <foaf:familyName>Fazekas</foaf:familyName>
        <org:memberOf>
          <foaf:Organization>
            <foaf:name>Queen Mary University of London</foaf:name>
          </foaf:Organization>
        </org:memberOf>
      </rdf:Description>
    </dct:creator>
    <dct:creator>
      <rdf:Description>
        <rdf:type rdf:resource="http://xmlns.com/foaf/0.1/Agent"/>
        <foaf:name>Zhang, Ru</foaf:name>
        <foaf:givenName>Ru</foaf:givenName>
        <foaf:familyName>Zhang</foaf:familyName>
        <org:memberOf>
          <foaf:Organization>
            <foaf:name>Beijing University of Posts and Telecommunications</foaf:name>
          </foaf:Organization>
        </org:memberOf>
      </rdf:Description>
    </dct:creator>
    <dct:title>The development dataset of the AI composition recognition competition, CSMT2020</dct:title>
    <dct:publisher>
      <foaf:Agent>
        <foaf:name>Zenodo</foaf:name>
      </foaf:Agent>
    </dct:publisher>
    <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#gYear">2020</dct:issued>
    <dcat:keyword>MIDI</dcat:keyword>
    <dcat:keyword>CSMT data challenge</dcat:keyword>
    <dcat:keyword>AI music composition</dcat:keyword>
    <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#date">2020-07-15</dct:issued>
    <dct:language rdf:resource="http://publications.europa.eu/resource/authority/language/ENG"/>
    <owl:sameAs rdf:resource="https://zenodo.org/record/3944685"/>
    <adms:identifier>
      <adms:Identifier>
        <skos:notation rdf:datatype="http://www.w3.org/2001/XMLSchema#anyURI">https://zenodo.org/record/3944685</skos:notation>
        <adms:schemeAgency>url</adms:schemeAgency>
      </adms:Identifier>
    </adms:identifier>
    <dct:isVersionOf rdf:resource="https://doi.org/10.5281/zenodo.3944684"/>
    <owl:versionInfo>1.0</owl:versionInfo>
    <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>
    <dct:accessRights rdf:resource="http://publications.europa.eu/resource/authority/access-right/PUBLIC"/>
    <dct:accessRights>
      <dct:RightsStatement rdf:about="info:eu-repo/semantics/openAccess">
        <rdfs:label>Open Access</rdfs:label>
      </dct:RightsStatement>
    </dct:accessRights>
    <dcat:distribution>
      <dcat:Distribution>
        <dct:license rdf:resource="https://creativecommons.org/licenses/by/4.0/legalcode"/>
        <dcat:accessURL rdf:resource="https://doi.org/10.5281/zenodo.3944685"/>
      </dcat:Distribution>
    </dcat:distribution>
    <dcat:distribution>
      <dcat:Distribution>
        <dcat:accessURL>https://doi.org/10.5281/zenodo.3944685</dcat:accessURL>
        <dcat:byteSize>2410228</dcat:byteSize>
        <dcat:downloadURL rdf:resource="https://zenodo.org/record/3944685/files/development.zip">https://zenodo.org/record/3944685/files/development.zip</dcat:downloadURL>
        <dcat:mediaType>application/zip</dcat:mediaType>
      </dcat:Distribution>
    </dcat:distribution>
  </rdf:Description>
</rdf:RDF>
363
270
views
downloads
All versions This version
Views 363363
Downloads 270270
Data volume 650.8 MB650.8 MB
Unique views 278278
Unique downloads 162162
More info on how stats are collected.
Indexed in
Publication date:
July 15, 2020
DOI:
10.5281/zenodo.3944685

Zenodo DOI Badge

DOI 

10.5281/zenodo.3944685

Markdown 

[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.3944685.svg)](https://doi.org/10.5281/zenodo.3944685)

reStructedText 

.. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.3944685.svg
   :target: https://doi.org/10.5281/zenodo.3944685

HTML 

<a href="https://doi.org/10.5281/zenodo.3944685"><img src="https://zenodo.org/badge/DOI/10.5281/zenodo.3944685.svg" alt="DOI"></a>

Image URL 

https://zenodo.org/badge/DOI/10.5281/zenodo.3944685.svg

Target URL 

https://doi.org/10.5281/zenodo.3944685

Keyword(s):
MIDI CSMT data challenge AI music composition
License (for files):
Creative Commons Attribution 4.0 International

Versions

Version 1.0 10.5281/zenodo.3944685 Jul 15, 2020
Cite all versions? You can cite all versions by using the DOI 10.5281/zenodo.3944684. This DOI represents all versions, and will always resolve to the latest one. Read more.

Share

Cite as

Export