Dataset Open Access
Humphrey, Eric J.; Durand, Simon; McFee, Brian
<?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.1432913</identifier> <creators> <creator> <creatorName>Humphrey, Eric J.</creatorName> <givenName>Eric J.</givenName> <familyName>Humphrey</familyName> <affiliation>Spotify</affiliation> </creator> <creator> <creatorName>Durand, Simon</creatorName> <givenName>Simon</givenName> <familyName>Durand</familyName> <affiliation>Spotify</affiliation> </creator> <creator> <creatorName>McFee, Brian</creatorName> <givenName>Brian</givenName> <familyName>McFee</familyName> <affiliation>NYU</affiliation> </creator> </creators> <titles> <title>OpenMIC-2018</title> </titles> <publisher>Zenodo</publisher> <publicationYear>2018</publicationYear> <dates> <date dateType="Issued">2018-09-23</date> </dates> <resourceType resourceTypeGeneral="Dataset"/> <alternateIdentifiers> <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/1432913</alternateIdentifier> </alternateIdentifiers> <relatedIdentifiers> <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.1432912</relatedIdentifier> <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/ismir</relatedIdentifier> </relatedIdentifiers> <version>v1.0.0</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>The OpenMIC-2018 dataset is made available through&nbsp;a collaboration between <a href="https://spotify.com/">Spotify</a>&nbsp;and <a href="https://steinhardt.nyu.edu/marl/">MARL@NYU</a>. Additionally, the cost of annotation was sponsored by Spotify, whose contributions to open-source research can be found online at the <a href="http://developer.spotify.com/">developer site</a>, <a href="https://labs.spotify.com/">engineering blog</a>, and <a href="https://spotify.github.io/">public GitHub</a>.</p> <p>If you use this dataset, please cite the following work:</p> <blockquote> <p>Humphrey, Eric J., Durand, Simon, and McFee, Brian. &quot;OpenMIC-2018: An Open Dataset for Multiple Instrument Recognition.&quot; in Proceedings of the 19th International Society for Music Information Retrieval Conference (ISMIR), 2018. [<a href="https://bmcfee.github.io/papers/ismir2018_openmic.pdf">pdf</a>]</p> </blockquote> <p>The dataset is made available by Spotify AB&nbsp;under a <a href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution 4.0 International (CC BY 4.0)</a>&nbsp;license. The full terms of this license are included alongside this dataset.</p> <p>This dataset contains the following:</p> <ul> <li>10 second snippets of audio, in a directory format like &#39;audio/{0:3}/{0}.ogg&#39;.format(sample_key)</li> <li>VGGish features as JSON objects,&nbsp;in a directory format like &#39;vggish/{0:3}/{0}.json&#39;.format(sample_key)</li> <li>MD5 checksums for each OGG and JSON file</li> <li>Anonymized individual responses, in &#39;openmic-2018-individual-responses.csv&#39;</li> <li>Aggregated labels, in &#39;openmic-2018-aggregated-labels.csv&#39;</li> <li>Track metadata, with licenses for each audio recording, in &#39;openmic-2018-metadata.csv&#39;</li> <li>A Python-friendly NPZ file of features and labels, &#39;openmic-2018.npz&#39;</li> <li>Sample partitions for train and test, in &#39;partitions/*.txt&#39;</li> </ul></description> <description descriptionType="Other">{"references": ["Humphrey, Eric J., Durand, Simon, and McFee, Brian. \"OpenMIC-2018: An Open Dataset for Multiple Instrument Recognition.\" in Proceedings of the 19th International Society for Music Information Retrieval Conference (ISMIR), 2018."]}</description> </descriptions> </resource>
All versions | This version | |
---|---|---|
Views | 6,141 | 6,145 |
Downloads | 5,092 | 5,092 |
Data volume | 13.4 TB | 13.4 TB |
Unique views | 5,289 | 5,293 |
Unique downloads | 2,426 | 2,426 |