{
  "id": 158880,
  "title": "Welcome!",
  "url": "/competitions/birdsong-recognition/discussion/158880",
  "author_name": "Sohier Dane",
  "post_date": "2020-06-15T17:15:55.426000",
  "votes": 16,
  "comment_count": 10,
  "views": 0,
  "content": "<p>Welcome to the Cornell Birdcall Identification challenge! Success here could meaningfully improve the productivity of scientists who monitor bird populations. The asymmetries between available training data and the conservation science relevant test data have proven difficult for previous modeling attempts. We're excited to see what you can come up with!</p>\n\n<p>Good luck and happy Kaggling!</p>",
  "messages": [
    {
      "id": 887446,
      "postDate": "2020-06-15T17:15:55.427Z",
      "content": "<p>Welcome to the Cornell Birdcall Identification challenge! Success here could meaningfully improve the productivity of scientists who monitor bird populations. The asymmetries between available training data and the conservation science relevant test data have proven difficult for previous modeling attempts. We're excited to see what you can come up with!</p>\n\n<p>Good luck and happy Kaggling!</p>",
      "rawMarkdown": "Welcome to the Cornell Birdcall Identification challenge! Success here could meaningfully improve the productivity of scientists who monitor bird populations. The asymmetries between available training data and the conservation science relevant test data have proven difficult for previous modeling attempts. We're excited to see what you can come up with!\n\nGood luck and happy Kaggling!",
      "votes": 15
    },
    {
      "id": 887544,
      "postDate": "2020-06-15T18:20:44.030Z",
      "content": "<p>Really cool! 7 years ago the <a href=\"https://www.kaggle.com/c/mlsp-2013-birds\">MLSP 2013 Bird Classification Challenge</a> was my first competition win (500$!). That time Random Forest beat neural nets :D</p>",
      "rawMarkdown": "Really cool! 7 years ago the [MLSP 2013 Bird Classification Challenge](https://www.kaggle.com/c/mlsp-2013-birds) was my first competition win (500$!). That time Random Forest beat neural nets :D",
      "votes": 16,
      "replies": [
        {
          "id": 888866,
          "postDate": "2020-06-16T15:52:39.657Z",
          "content": "<p>Birds do love forests 😄 </p>",
          "rawMarkdown": "Birds do love forests 😄 ",
          "votes": 17
        }
      ]
    },
    {
      "id": 892725,
      "postDate": "2020-06-19T05:45:23.003Z",
      "content": "<p>I have a question. \nI am planning to make a notebook for preprocessing the original data, and then use the preprocessed Dataset in another notebook for submission.\nIs this way allowed in the competition?</p>",
      "rawMarkdown": "I have a question. \nI am planning to make a notebook for preprocessing the original data, and then use the preprocessed Dataset in another notebook for submission.\nIs this way allowed in the competition?",
      "votes": 1,
      "replies": [
        {
          "id": 893227,
          "postDate": "2020-06-19T13:22:44.593Z",
          "content": "<p>Yes, that's fine.</p>",
          "rawMarkdown": "Yes, that's fine.",
          "votes": 2
        }
      ]
    },
    {
      "id": 888647,
      "postDate": "2020-06-16T13:35:34.543Z",
      "content": "<p>Hi, <a href=\"/sohier\">@sohier</a>.\nThank you for organizing this competition.</p>\n\n<p>I have one request.\nCould you please prepare kaggle kernel environment where <code>pydub</code> package is already installed?\n<a href=\"https://github.com/jiaaro/pydub\">https://github.com/jiaaro/pydub</a></p>\n\n<p>I think pydub is a very common package when we treat mp3 format audio data.\nBecause we are not allowed to have an internet access in inference kernel, pre-installed kernel environment is a big help for us.</p>\n\n<p>Thanks in advance. </p>",
      "rawMarkdown": "Hi, @sohier.\nThank you for organizing this competition.\n\nI have one request.\nCould you please prepare kaggle kernel environment where `pydub` package is already installed?\nhttps://github.com/jiaaro/pydub\n\nI think pydub is a very common package when we treat mp3 format audio data.\nBecause we are not allowed to have an internet access in inference kernel, pre-installed kernel environment is a big help for us.\n\nThanks in advance. \n",
      "votes": 2,
      "replies": [
        {
          "id": 889034,
          "postDate": "2020-06-16T18:24:38.347Z",
          "content": "<p>Hi <a href=\"/maxwell110\">@maxwell110</a>, please check <a href=\"https://www.kaggle.com/gabrielmilan/mp3-to-numpy-and-back\">this notebook</a>. I've set <code>pydub</code> on that without the internet connection.</p>",
          "rawMarkdown": "Hi @maxwell110, please check [this notebook](https://www.kaggle.com/gabrielmilan/mp3-to-numpy-and-back). I've set `pydub` on that without the internet connection.",
          "votes": 2
        },
        {
          "id": 890363,
          "postDate": "2020-06-17T13:20:29.913Z",
          "content": "<p>I will look into it. For future reference though, everyone is welcome to file package requests here: <a href=\"https://github.com/Kaggle/docker-python\">https://github.com/Kaggle/docker-python</a>. </p>",
          "rawMarkdown": "I will look into it. For future reference though, everyone is welcome to file package requests here: https://github.com/Kaggle/docker-python. ",
          "votes": 2
        }
      ]
    },
    {
      "id": 955168,
      "postDate": "2020-08-02T12:12:39.913Z",
      "content": "<p>Hi <a href=\"/sohier\">@sohier</a>, I just want to check if participants from Armenia are eligible for prizes.</p>",
      "rawMarkdown": "Hi @sohier, I just want to check if participants from Armenia are eligible for prizes."
    },
    {
      "id": 905097,
      "postDate": "2020-06-28T08:46:35.330Z",
      "content": "<p>Hi Sohier,</p>\n\n<p>In the sample submission, the first id is 'site_1_0a997dff022e3ad9744d4e7bbf923288_5'; I noticed that it has '_5' at end. \nWhat time reference is used to construct the row ids in the test set: start of chunk (0, 5, 10, etc) or end of chunk (5, 10, 15) ?</p>\n\n<p>I think it would be of general interest since we need to know this to construct our submission kernels.\nI would be thankful  if you can help clarifying this point.</p>",
      "rawMarkdown": "Hi Sohier,\n\nIn the sample submission, the first id is 'site_1_0a997dff022e3ad9744d4e7bbf923288_5'; I noticed that it has '_5' at end. \nWhat time reference is used to construct the row ids in the test set: start of chunk (0, 5, 10, etc) or end of chunk (5, 10, 15) ?\n\nI think it would be of general interest since we need to know this to construct our submission kernels.\nI would be thankful  if you can help clarifying this point.",
      "isDeleted": true,
      "replies": [
        {
          "id": 905329,
          "postDate": "2020-06-28T12:57:52.073Z",
          "content": "<p>I should have carefully read the data description, the answer is in there.\n'seconds: the second ending the time window'\nSo as it seems first chunk, going from second 0 to 5, has tag '_5' </p>",
          "rawMarkdown": "I should have carefully read the data description, the answer is in there.\n'seconds: the second ending the time window'\nSo as it seems first chunk, going from second 0 to 5, has tag '_5' ",
          "votes": 3,
          "isDeleted": true
        }
      ]
    }
  ],
  "comments": [
    {
      "id": 887544,
      "author_name": "beluga",
      "author_url": "",
      "post_date": "2020-06-15T18:20:44.030000",
      "content": "<p>Really cool! 7 years ago the <a href=\"https://www.kaggle.com/c/mlsp-2013-birds\">MLSP 2013 Bird Classification Challenge</a> was my first competition win (500$!). That time Random Forest beat neural nets :D</p>",
      "votes": 16,
      "replies": [
        {
          "id": 888866,
          "author_name": "Dhruv Naik",
          "author_url": "",
          "post_date": "2020-06-16T15:52:39.657000",
          "content": "<p>Birds do love forests 😄 </p>",
          "votes": 17,
          "replies": []
        }
      ]
    },
    {
      "id": 892725,
      "author_name": "Masahiro Mochizuki",
      "author_url": "",
      "post_date": "2020-06-19T05:45:23.003000",
      "content": "<p>I have a question. \nI am planning to make a notebook for preprocessing the original data, and then use the preprocessed Dataset in another notebook for submission.\nIs this way allowed in the competition?</p>",
      "votes": 1,
      "replies": [
        {
          "id": 893227,
          "author_name": "Sohier Dane",
          "author_url": "",
          "post_date": "2020-06-19T13:22:44.593000",
          "content": "<p>Yes, that's fine.</p>",
          "votes": 2,
          "replies": []
        }
      ]
    },
    {
      "id": 888647,
      "author_name": "Maxwell",
      "author_url": "",
      "post_date": "2020-06-16T13:35:34.543000",
      "content": "<p>Hi, <a href=\"/sohier\">@sohier</a>.\nThank you for organizing this competition.</p>\n\n<p>I have one request.\nCould you please prepare kaggle kernel environment where <code>pydub</code> package is already installed?\n<a href=\"https://github.com/jiaaro/pydub\">https://github.com/jiaaro/pydub</a></p>\n\n<p>I think pydub is a very common package when we treat mp3 format audio data.\nBecause we are not allowed to have an internet access in inference kernel, pre-installed kernel environment is a big help for us.</p>\n\n<p>Thanks in advance. </p>",
      "votes": 2,
      "replies": [
        {
          "id": 889034,
          "author_name": "Gabriel Gazola Milan",
          "author_url": "",
          "post_date": "2020-06-16T18:24:38.347000",
          "content": "<p>Hi <a href=\"/maxwell110\">@maxwell110</a>, please check <a href=\"https://www.kaggle.com/gabrielmilan/mp3-to-numpy-and-back\">this notebook</a>. I've set <code>pydub</code> on that without the internet connection.</p>",
          "votes": 2,
          "replies": []
        },
        {
          "id": 890363,
          "author_name": "Sohier Dane",
          "author_url": "",
          "post_date": "2020-06-17T13:20:29.913000",
          "content": "<p>I will look into it. For future reference though, everyone is welcome to file package requests here: <a href=\"https://github.com/Kaggle/docker-python\">https://github.com/Kaggle/docker-python</a>. </p>",
          "votes": 2,
          "replies": []
        }
      ]
    },
    {
      "id": 955168,
      "author_name": "Sipan17",
      "author_url": "",
      "post_date": "2020-08-02T12:12:39.913000",
      "content": "<p>Hi <a href=\"/sohier\">@sohier</a>, I just want to check if participants from Armenia are eligible for prizes.</p>",
      "votes": 0,
      "replies": []
    },
    {
      "id": 905097,
      "author_name": "",
      "author_url": "",
      "post_date": "2020-06-28T08:46:35.330000",
      "content": "<p>Hi Sohier,</p>\n\n<p>In the sample submission, the first id is 'site_1_0a997dff022e3ad9744d4e7bbf923288_5'; I noticed that it has '_5' at end. \nWhat time reference is used to construct the row ids in the test set: start of chunk (0, 5, 10, etc) or end of chunk (5, 10, 15) ?</p>\n\n<p>I think it would be of general interest since we need to know this to construct our submission kernels.\nI would be thankful  if you can help clarifying this point.</p>",
      "votes": 0,
      "replies": [
        {
          "id": 905329,
          "author_name": "",
          "author_url": "",
          "post_date": "2020-06-28T12:57:52.073000",
          "content": "<p>I should have carefully read the data description, the answer is in there.\n'seconds: the second ending the time window'\nSo as it seems first chunk, going from second 0 to 5, has tag '_5' </p>",
          "votes": 3,
          "replies": []
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "887446": "Welcome to the Cornell Birdcall Identification challenge! Success here could meaningfully improve the productivity of scientists who monitor bird populations. The asymmetries between available training data and the conservation science relevant test data have proven difficult for previous modeling attempts. We're excited to see what you can come up with!\n\nGood luck and happy Kaggling!",
    "887544": "Really cool! 7 years ago the [MLSP 2013 Bird Classification Challenge](https://www.kaggle.com/c/mlsp-2013-birds) was my first competition win (500$!). That time Random Forest beat neural nets :D",
    "892725": "I have a question. \nI am planning to make a notebook for preprocessing the original data, and then use the preprocessed Dataset in another notebook for submission.\nIs this way allowed in the competition?",
    "888647": "Hi, @sohier.\nThank you for organizing this competition.\n\nI have one request.\nCould you please prepare kaggle kernel environment where `pydub` package is already installed?\nhttps://github.com/jiaaro/pydub\n\nI think pydub is a very common package when we treat mp3 format audio data.\nBecause we are not allowed to have an internet access in inference kernel, pre-installed kernel environment is a big help for us.\n\nThanks in advance. \n",
    "955168": "Hi @sohier, I just want to check if participants from Armenia are eligible for prizes.",
    "905097": "Hi Sohier,\n\nIn the sample submission, the first id is 'site_1_0a997dff022e3ad9744d4e7bbf923288_5'; I noticed that it has '_5' at end. \nWhat time reference is used to construct the row ids in the test set: start of chunk (0, 5, 10, etc) or end of chunk (5, 10, 15) ?\n\nI think it would be of general interest since we need to know this to construct our submission kernels.\nI would be thankful  if you can help clarifying this point."
  }
}