{
  "id": 398318,
  "title": "32kHz ogg additional data",
  "url": "/competitions/birdclef-2023/discussion/398318",
  "author_name": "",
  "post_date": "2023-03-29T12:40:59.585479300Z",
  "votes": 29,
  "comment_count": 2,
  "views": 0,
  "content": "<p>I have created 32kHz ogg data from Xeno-Canto data and the 2020 birdsong-recognition competition data. I hope you find it useful.</p>\n<ul>\n<li><p>Xeno-Canto</p>\n<ul>\n<li><a href=\"https://www.kaggle.com/datasets/nomorevotch/xeno-canto-bird-recordings-extended-a-m-32khz-ogg\" target=\"_blank\">https://www.kaggle.com/datasets/nomorevotch/xeno-canto-bird-recordings-extended-a-m-32khz-ogg</a></li>\n<li><a href=\"https://www.kaggle.com/datasets/nomorevotch/xeno-canto-bird-recordings-extended-n-z-32khz-ogg\" target=\"_blank\">https://www.kaggle.com/datasets/nomorevotch/xeno-canto-bird-recordings-extended-n-z-32khz-ogg</a></li></ul></li>\n<li><p><a href=\"https://www.kaggle.com/competitions/birdsong-recognition\" target=\"_blank\">birdsong recognition</a></p>\n<ul>\n<li><a href=\"https://www.kaggle.com/datasets/nomorevotch/cornell-birdsong-recognition-2020-a-m-32khz-ogg\" target=\"_blank\">https://www.kaggle.com/datasets/nomorevotch/cornell-birdsong-recognition-2020-a-m-32khz-ogg</a></li>\n<li><a href=\"https://www.kaggle.com/datasets/nomorevotch/cornell-birdsong-recognition-2020-n-z-32khz-ogg1\" target=\"_blank\">https://www.kaggle.com/datasets/nomorevotch/cornell-birdsong-recognition-2020-n-z-32khz-ogg1</a></li></ul></li>\n</ul>",
  "messages": [
    {
      "id": "2201596",
      "postDate": "03/29/2023 12:40:59",
      "content": "<p>I have created 32kHz ogg data from Xeno-Canto data and the 2020 birdsong-recognition competition data. I hope you find it useful.</p>\n<ul>\n<li><p>Xeno-Canto</p>\n<ul>\n<li><a href=\"https://www.kaggle.com/datasets/nomorevotch/xeno-canto-bird-recordings-extended-a-m-32khz-ogg\" target=\"_blank\">https://www.kaggle.com/datasets/nomorevotch/xeno-canto-bird-recordings-extended-a-m-32khz-ogg</a></li>\n<li><a href=\"https://www.kaggle.com/datasets/nomorevotch/xeno-canto-bird-recordings-extended-n-z-32khz-ogg\" target=\"_blank\">https://www.kaggle.com/datasets/nomorevotch/xeno-canto-bird-recordings-extended-n-z-32khz-ogg</a></li></ul></li>\n<li><p><a href=\"https://www.kaggle.com/competitions/birdsong-recognition\" target=\"_blank\">birdsong recognition</a></p>\n<ul>\n<li><a href=\"https://www.kaggle.com/datasets/nomorevotch/cornell-birdsong-recognition-2020-a-m-32khz-ogg\" target=\"_blank\">https://www.kaggle.com/datasets/nomorevotch/cornell-birdsong-recognition-2020-a-m-32khz-ogg</a></li>\n<li><a href=\"https://www.kaggle.com/datasets/nomorevotch/cornell-birdsong-recognition-2020-n-z-32khz-ogg1\" target=\"_blank\">https://www.kaggle.com/datasets/nomorevotch/cornell-birdsong-recognition-2020-n-z-32khz-ogg1</a></li></ul></li>\n</ul>",
      "rawMarkdown": "I have created 32kHz ogg data from Xeno-Canto data and the 2020 birdsong-recognition competition data. I hope you find it useful.\n\n- Xeno-Canto\n - https://www.kaggle.com/datasets/nomorevotch/xeno-canto-bird-recordings-extended-a-m-32khz-ogg\n - https://www.kaggle.com/datasets/nomorevotch/xeno-canto-bird-recordings-extended-n-z-32khz-ogg\n\n\n- [birdsong recognition](https://www.kaggle.com/competitions/birdsong-recognition)\n - https://www.kaggle.com/datasets/nomorevotch/cornell-birdsong-recognition-2020-a-m-32khz-ogg\n - https://www.kaggle.com/datasets/nomorevotch/cornell-birdsong-recognition-2020-n-z-32khz-ogg1",
      "votes": null
    },
    {
      "id": "2205440",
      "postDate": "04/01/2023 14:53:01",
      "content": "<p>This should be handy for tackling torchaudio loading of mp3 files </p>",
      "rawMarkdown": "This should be handy for tackling torchaudio loading of mp3 files",
      "votes": null
    },
    {
      "id": "2230849",
      "postDate": "04/22/2023 19:54:35",
      "content": "<p>There are many labels that are different from this year's, and secondary labels may not exist in this year's data</p>",
      "rawMarkdown": "There are many labels that are different from this year's, and secondary labels may not exist in this year's data",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 2205440,
      "author_name": "alabibojesomo",
      "author_url": "",
      "post_date": "04/01/2023 14:53:01",
      "content": "<p>This should be handy for tackling torchaudio loading of mp3 files </p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 2230849,
      "author_name": "xuanleekaggle",
      "author_url": "",
      "post_date": "04/22/2023 19:54:35",
      "content": "<p>There are many labels that are different from this year's, and secondary labels may not exist in this year's data</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "2201596": "I have created 32kHz ogg data from Xeno-Canto data and the 2020 birdsong-recognition competition data. I hope you find it useful.\n\n- Xeno-Canto\n - https://www.kaggle.com/datasets/nomorevotch/xeno-canto-bird-recordings-extended-a-m-32khz-ogg\n - https://www.kaggle.com/datasets/nomorevotch/xeno-canto-bird-recordings-extended-n-z-32khz-ogg\n\n\n- [birdsong recognition](https://www.kaggle.com/competitions/birdsong-recognition)\n - https://www.kaggle.com/datasets/nomorevotch/cornell-birdsong-recognition-2020-a-m-32khz-ogg\n - https://www.kaggle.com/datasets/nomorevotch/cornell-birdsong-recognition-2020-n-z-32khz-ogg1",
    "2205440": "This should be handy for tackling torchaudio loading of mp3 files",
    "2230849": "There are many labels that are different from this year's, and secondary labels may not exist in this year's data"
  },
  "source": "meta"
}