September 23, 2018 Dataset Open Access

Humphrey, Eric J.; Durand, Simon; McFee, Brian

MARC21 XML Export

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    <subfield code="x">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.</subfield>
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    <subfield code="a">&lt;p&gt;The OpenMIC-2018 dataset is made available through&amp;nbsp;a collaboration between &lt;a href="https://spotify.com/"&gt;Spotify&lt;/a&gt;&amp;nbsp;and &lt;a href="https://steinhardt.nyu.edu/marl/"&gt;MARL@NYU&lt;/a&gt;. Additionally, the cost of annotation was sponsored by Spotify, whose contributions to open-source research can be found online at the &lt;a href="http://developer.spotify.com/"&gt;developer site&lt;/a&gt;, &lt;a href="https://labs.spotify.com/"&gt;engineering blog&lt;/a&gt;, and &lt;a href="https://spotify.github.io/"&gt;public GitHub&lt;/a&gt;.&lt;/p&gt;

&lt;p&gt;If you use this dataset, please cite the following work:&lt;/p&gt;

&lt;blockquote&gt;
&lt;p&gt;Humphrey, Eric J., Durand, Simon, and McFee, Brian. &amp;quot;OpenMIC-2018: An Open Dataset for Multiple Instrument Recognition.&amp;quot; in Proceedings of the 19th International Society for Music Information Retrieval Conference (ISMIR), 2018. [&lt;a href="https://bmcfee.github.io/papers/ismir2018_openmic.pdf"&gt;pdf&lt;/a&gt;]&lt;/p&gt;
&lt;/blockquote&gt;

&lt;p&gt;The dataset is made available by Spotify AB&amp;nbsp;under a &lt;a href="https://creativecommons.org/licenses/by/4.0/"&gt;Creative Commons Attribution 4.0 International (CC BY 4.0)&lt;/a&gt;&amp;nbsp;license. The full terms of this license are included alongside this dataset.&lt;/p&gt;

&lt;p&gt;This dataset contains the following:&lt;/p&gt;

&lt;ul&gt;
	&lt;li&gt;10 second snippets of audio, in a directory format like &amp;#39;audio/{0:3}/{0}.ogg&amp;#39;.format(sample_key)&lt;/li&gt;
	&lt;li&gt;VGGish features as JSON objects,&amp;nbsp;in a directory format like &amp;#39;vggish/{0:3}/{0}.json&amp;#39;.format(sample_key)&lt;/li&gt;
	&lt;li&gt;MD5 checksums for each OGG and JSON file&lt;/li&gt;
	&lt;li&gt;Anonymized individual responses, in &amp;#39;openmic-2018-individual-responses.csv&amp;#39;&lt;/li&gt;
	&lt;li&gt;Aggregated labels, in &amp;#39;openmic-2018-aggregated-labels.csv&amp;#39;&lt;/li&gt;
	&lt;li&gt;Track metadata, with licenses for each audio recording, in &amp;#39;openmic-2018-metadata.csv&amp;#39;&lt;/li&gt;
	&lt;li&gt;A Python-friendly NPZ file of features and labels, &amp;#39;openmic-2018.npz&amp;#39;&lt;/li&gt;
	&lt;li&gt;Sample partitions for train and test, in &amp;#39;partitions/*.txt&amp;#39;&lt;/li&gt;
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