September 23, 2018 Dataset Open Access

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

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{
  "description": "<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>\n\n<p>If you use this dataset, please cite the following work:</p>\n\n<blockquote>\n<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>\n</blockquote>\n\n<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>\n\n<p>This dataset contains the following:</p>\n\n<ul>\n\t<li>10 second snippets of audio, in a directory format like &#39;audio/{0:3}/{0}.ogg&#39;.format(sample_key)</li>\n\t<li>VGGish features as JSON objects,&nbsp;in a directory format like &#39;vggish/{0:3}/{0}.json&#39;.format(sample_key)</li>\n\t<li>MD5 checksums for each OGG and JSON file</li>\n\t<li>Anonymized individual responses, in &#39;openmic-2018-individual-responses.csv&#39;</li>\n\t<li>Aggregated labels, in &#39;openmic-2018-aggregated-labels.csv&#39;</li>\n\t<li>Track metadata, with licenses for each audio recording, in &#39;openmic-2018-metadata.csv&#39;</li>\n\t<li>A Python-friendly NPZ file of features and labels, &#39;openmic-2018.npz&#39;</li>\n\t<li>Sample partitions for train and test, in &#39;partitions/*.txt&#39;</li>\n</ul>", 
  "license": "https://creativecommons.org/licenses/by/4.0/legalcode", 
  "creator": [
    {
      "affiliation": "Spotify", 
      "@type": "Person", 
      "name": "Humphrey, Eric J."
    }, 
    {
      "affiliation": "Spotify", 
      "@type": "Person", 
      "name": "Durand, Simon"
    }, 
    {
      "affiliation": "NYU", 
      "@type": "Person", 
      "name": "McFee, Brian"
    }
  ], 
  "url": "https://zenodo.org/record/1432913", 
  "datePublished": "2018-09-23", 
  "version": "v1.0.0", 
  "@context": "https://schema.org/", 
  "distribution": [
    {
      "contentUrl": "https://zenodo.org/api/files/38dcfe81-1092-4d1c-a7a6-c8c4f18ace23/openmic-2018-v1.0.0.tgz", 
      "encodingFormat": "tgz", 
      "@type": "DataDownload"
    }
  ], 
  "identifier": "https://doi.org/10.5281/zenodo.1432913", 
  "@id": "https://doi.org/10.5281/zenodo.1432913", 
  "@type": "Dataset", 
  "name": "OpenMIC-2018"
}