{
  "fetched_at": "2026-10-18T13:42:01Z",
  "source_url": "https://www.kaggle.com/competitions/audioset-leaderboard/data",
  "pages": [
    {
      "name": "data-description",
      "content": "<p>* <a href=https://www.kaggle.com/zfturbo/audioset>Train data</a></p>\n<p>* <a href=https://www.kaggle.com/zfturbo/audioset-valid>Valid data</a></p>\n\n<h2>Data description</h2>\n\n<p>* <b>test_wav</b> - folder with test audio files in WAV format</p>\n<p>* <b>sample_submission.csv</b> - file with expected format of submission file</p>",
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    {
      "name": "Description",
      "content": "<p>Leaderboard for <a href=\"https://research.google.com/audioset/\">AudioSet</a>.</p>\n\n<p>* <a href=https://www.kaggle.com/zfturbo/audioset>Train data</a></p>\n<p>* <a href=https://www.kaggle.com/zfturbo/audioset-valid>Valid data</a></p>\n",
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    },
    {
      "name": "Evaluation",
      "content": "<p>The evaluation metric for this competition is <a href=\"https://scikit-learn.org/stable/modules/generated/sklearn.metrics.roc_auc_score.html\">ROC AUC</a>. You need to predict probabilities for all pairs (audio_id, class_id). It will be run against ground truth pairs using ROC AUC metric.</p>\n<h2>Submission Format</h2>\n<p><strong>For every audio in the test dataset</strong>, submission files should contain two columns: id_class and target. id_class - contains pairs of auido id and class id. target contains probability on range [0, 1].</p>\n<p>The file should contain a header and have the following format:</p>\n<pre>id_class,target<br>id1000000_0,0.5\nid1000000_1,0.5\nid1000000_2,0.5\nid1000000_3,0.5<br>...</pre>",
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      "hasIsPublished": false,
      "postTitle": "",
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    },
    {
      "name": "rules",
      "content": "This is a page where you can include rules that participants must accept before joining. You may wish to include rules like:\n\n - Don't cheat!\n - Apply yourself!\n - Have fun!",
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      "hasIsPublished": false,
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  ]
}