Dataset Open Access
Pasquale Lisena;
Albert Meroño-Peñuela;
Raphaël Troncy
<?xml version='1.0' encoding='utf-8'?> <resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd"> <identifier identifierType="DOI">10.5281/zenodo.5082300</identifier> <creators> <creator> <creatorName>Pasquale Lisena</creatorName> <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0003-3094-5585</nameIdentifier> <affiliation>EURECOM</affiliation> </creator> <creator> <creatorName>Albert Meroño-Peñuela</creatorName> <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0003-4646-5842</nameIdentifier> <affiliation>King's College London</affiliation> </creator> <creator> <creatorName>Raphaël Troncy</creatorName> <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0003-0457-1436</nameIdentifier> <affiliation>EURECOM</affiliation> </creator> </creators> <titles> <title>Material for the paper "MIDI2vec: Learning MIDI Embeddings for Reliable Prediction of Symbolic Music Metadata"</title> </titles> <publisher>Zenodo</publisher> <publicationYear>2021</publicationYear> <dates> <date dateType="Issued">2021-07-08</date> </dates> <resourceType resourceTypeGeneral="Dataset"/> <alternateIdentifiers> <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/5082300</alternateIdentifier> </alternateIdentifiers> <relatedIdentifiers> <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.5082299</relatedIdentifier> </relatedIdentifiers> <version>1.0</version> <rightsList> <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights> <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights> </rightsList> <descriptions> <description descriptionType="Abstract"><p>Edgelists and trained embeddings used in the paper</p></description> </descriptions> </resource>
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