{
  "id": 568568,
  "title": "How is the row_id generated in the submissions csv?",
  "url": "/competitions/birdclef-2025/discussion/568568",
  "author_name": "",
  "post_date": "2025-03-16T16:38:31.059898Z",
  "votes": null,
  "comment_count": 2,
  "views": 0,
  "content": "<p>Sorry, I am very new to Kaggle, and therefore this might not be a particularly bright question.</p>\n<p>As I understand, train_audio is the training data set, where as train_soundscapes are for our testing - on which we are supposed to submit our work. </p>\n<p>How is the row id generated for this? For instance for the oog file O203_20230524_030500 , which is unlabeled, what should the row_id be ? I understand it starts with 'soundscapes' , followed by id , but then<br>\n[row_id: A slug of soundscape_[soundscape_id]_[end_time] for the prediction; e.g., Segment 00:15-00:20 of 1-minute test soundscape soundscape_12345.ogg has row ID soundscape_12345_20.]<br>\nWhat is the end time? How do I calculate it? Am I supposed to further break the oog files into 5 second segments?  In the sample submission it looks like the same soundscape with different end times. I am very confused, any help will be appreciated. Maybe I am missing some major aspect of the task</p>",
  "messages": [
    {
      "id": "3151399",
      "postDate": "03/16/2025 16:38:31",
      "content": "<p>Sorry, I am very new to Kaggle, and therefore this might not be a particularly bright question.</p>\n<p>As I understand, train_audio is the training data set, where as train_soundscapes are for our testing - on which we are supposed to submit our work. </p>\n<p>How is the row id generated for this? For instance for the oog file O203_20230524_030500 , which is unlabeled, what should the row_id be ? I understand it starts with 'soundscapes' , followed by id , but then<br>\n[row_id: A slug of soundscape_[soundscape_id]_[end_time] for the prediction; e.g., Segment 00:15-00:20 of 1-minute test soundscape soundscape_12345.ogg has row ID soundscape_12345_20.]<br>\nWhat is the end time? How do I calculate it? Am I supposed to further break the oog files into 5 second segments?  In the sample submission it looks like the same soundscape with different end times. I am very confused, any help will be appreciated. Maybe I am missing some major aspect of the task</p>",
      "rawMarkdown": "Sorry, I am very new to Kaggle, and therefore this might not be a particularly bright question.\n\nAs I understand, train_audio is the training data set, where as train_soundscapes are for our testing - on which we are supposed to submit our work. \n\nHow is the row id generated for this? For instance for the oog file O203_20230524_030500 , which is unlabeled, what should the row_id be ? I understand it starts with 'soundscapes' , followed by id , but then\n[row_id: A slug of soundscape_[soundscape_id]_[end_time] for the prediction; e.g., Segment 00:15-00:20 of 1-minute test soundscape soundscape_12345.ogg has row ID soundscape_12345_20.]\nWhat is the end time? How do I calculate it? Am I supposed to further break the oog files into 5 second segments?  In the sample submission it looks like the same soundscape with different end times. I am very confused, any help will be appreciated. Maybe I am missing some major aspect of the task",
      "votes": null
    },
    {
      "id": "3151448",
      "postDate": "03/16/2025 17:51:26",
      "content": "<p>Hi, Abhisek!</p>\n<p>The test data is hidden from view, and only accessible to the submission as it runs. Please refer to the sample submission for how to access the files; we strongly suggest re-using the code from the sample submission, as it will save you a lot of effort (and submissions!).</p>\n<p><a href=\"https://www.kaggle.com/code/stefankahl/birdclef-2025-sample-submission\" target=\"_blank\">https://www.kaggle.com/code/stefankahl/birdclef-2025-sample-submission</a></p>\n<p>The unlabeled soundscape that you can see are additional data from the same region as the test data that you can use in any way you like.</p>",
      "rawMarkdown": "Hi, Abhisek!\n\nThe test data is hidden from view, and only accessible to the submission as it runs. Please refer to the sample submission for how to access the files; we strongly suggest re-using the code from the sample submission, as it will save you a lot of effort (and submissions!).\n\nhttps://www.kaggle.com/code/stefankahl/birdclef-2025-sample-submission\n\nThe unlabeled soundscape that you can see are additional data from the same region as the test data that you can use in any way you like.",
      "votes": null
    },
    {
      "id": "3151772",
      "postDate": "03/17/2025 04:50:59",
      "content": "<p>This is really really helpful! Thank you so much!!</p>",
      "rawMarkdown": "This is really really helpful! Thank you so much!!",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 3151448,
      "author_name": "tomdenton",
      "author_url": "",
      "post_date": "03/16/2025 17:51:26",
      "content": "<p>Hi, Abhisek!</p>\n<p>The test data is hidden from view, and only accessible to the submission as it runs. Please refer to the sample submission for how to access the files; we strongly suggest re-using the code from the sample submission, as it will save you a lot of effort (and submissions!).</p>\n<p><a href=\"https://www.kaggle.com/code/stefankahl/birdclef-2025-sample-submission\" target=\"_blank\">https://www.kaggle.com/code/stefankahl/birdclef-2025-sample-submission</a></p>\n<p>The unlabeled soundscape that you can see are additional data from the same region as the test data that you can use in any way you like.</p>",
      "votes": null,
      "replies": [
        {
          "id": 3151772,
          "author_name": "abhisekmukherjee93",
          "author_url": "",
          "post_date": "03/17/2025 04:50:59",
          "content": "<p>This is really really helpful! Thank you so much!!</p>",
          "votes": null,
          "replies": []
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "3151399": "Sorry, I am very new to Kaggle, and therefore this might not be a particularly bright question.\n\nAs I understand, train_audio is the training data set, where as train_soundscapes are for our testing - on which we are supposed to submit our work. \n\nHow is the row id generated for this? For instance for the oog file O203_20230524_030500 , which is unlabeled, what should the row_id be ? I understand it starts with 'soundscapes' , followed by id , but then\n[row_id: A slug of soundscape_[soundscape_id]_[end_time] for the prediction; e.g., Segment 00:15-00:20 of 1-minute test soundscape soundscape_12345.ogg has row ID soundscape_12345_20.]\nWhat is the end time? How do I calculate it? Am I supposed to further break the oog files into 5 second segments?  In the sample submission it looks like the same soundscape with different end times. I am very confused, any help will be appreciated. Maybe I am missing some major aspect of the task",
    "3151448": "Hi, Abhisek!\n\nThe test data is hidden from view, and only accessible to the submission as it runs. Please refer to the sample submission for how to access the files; we strongly suggest re-using the code from the sample submission, as it will save you a lot of effort (and submissions!).\n\nhttps://www.kaggle.com/code/stefankahl/birdclef-2025-sample-submission\n\nThe unlabeled soundscape that you can see are additional data from the same region as the test data that you can use in any way you like.",
    "3151772": "This is really really helpful! Thank you so much!!"
  },
  "source": "meta"
}