{
  "id": 283818,
  "title": "about the submission.csv",
  "url": "/competitions/sartorius-cell-instance-segmentation/discussion/283818",
  "author_name": "active2018",
  "post_date": "2021-10-28T01:03:04.377000",
  "votes": 2,
  "comment_count": 4,
  "views": 0,
  "content": "<p>Hi</p>\n<p>I downloaded the <code>submission.csv</code> from one of the previous successfully notebooks which has a score of 0.17.<br>\nAnd I create a new notebook, upload the <code>submission.csv</code> into the dataset with path of <code>../input/resultsv2/submission.csv</code>.<br>\nThe notebook content is</p>\n<pre><code>import shutil\nshutil.copyfile('../input/resultsv2/submission.csv', 'submission.csv')\n</code></pre>\n<p>After submitting this new notebook, there is an error named <code>Submission Scoring Error</code>.<br>\nI checked the contents of both <code>../input/resultsv2/submission.csv</code> and <code>submission.csv</code>, they are the same. </p>\n<p>Could you please give some advice about the error? Thanks.</p>",
  "messages": [
    {
      "id": 1563023,
      "postDate": "2021-10-28T01:03:04.377Z",
      "content": "<p>Hi</p>\n<p>I downloaded the <code>submission.csv</code> from one of the previous successfully notebooks which has a score of 0.17.<br>\nAnd I create a new notebook, upload the <code>submission.csv</code> into the dataset with path of <code>../input/resultsv2/submission.csv</code>.<br>\nThe notebook content is</p>\n<pre><code>import shutil\nshutil.copyfile('../input/resultsv2/submission.csv', 'submission.csv')\n</code></pre>\n<p>After submitting this new notebook, there is an error named <code>Submission Scoring Error</code>.<br>\nI checked the contents of both <code>../input/resultsv2/submission.csv</code> and <code>submission.csv</code>, they are the same. </p>\n<p>Could you please give some advice about the error? Thanks.</p>",
      "rawMarkdown": "Hi\n\nI downloaded the `submission.csv` from one of the previous successfully notebooks which has a score of 0.17.\nAnd I create a new notebook, upload the `submission.csv` into the dataset with path of `../input/resultsv2/submission.csv`.\nThe notebook content is\n\n```\nimport shutil\nshutil.copyfile('../input/resultsv2/submission.csv', 'submission.csv')\n```\n\nAfter submitting this new notebook, there is an error named `Submission Scoring Error`.\nI checked the contents of both `../input/resultsv2/submission.csv` and `submission.csv`, they are the same. \n\nCould you please give some advice about the error? Thanks.",
      "votes": 2
    },
    {
      "id": 1563194,
      "postDate": "2021-10-28T05:55:49.657Z",
      "rawMarkdown": "",
      "votes": 2,
      "isDeleted": true,
      "replies": [
        {
          "id": 1564107,
          "postDate": "2021-10-28T21:41:56.947Z",
          "content": "<p>Hi <a href=\"https://www.kaggle.com/weka511\" target=\"_blank\">@weka511</a> , thanks a lot for your kind comment and so detail reply!</p>\n<p>I am sorry I did not make myself clear on my question.<br>\nIn fact, I downloaded all the data into local machine and trained the model locally. <br>\nThen I uploaded the model into the Dataset, then using the similar method described in your kindly answer to obtain the test results, and then submitted to the evaluation server, finally the score is obtained.</p>\n<p>So the <code>sumission.csv</code> is actually obtained in the local machine. <br>\nWhat I expect is, I directly upload the local <code>submission.csv</code> into the Kaggle server, so the server does not need to run the notebook twice to get the same <code>submission.csv</code>.</p>\n<p>Anyway, thank you very much for your kind answer! I will follow the submission rules in Kaggle.</p>",
          "rawMarkdown": "Hi @weka511 , thanks a lot for your kind comment and so detail reply!\n\nI am sorry I did not make myself clear on my question.\nIn fact, I downloaded all the data into local machine and trained the model locally. \nThen I uploaded the model into the Dataset, then using the similar method described in your kindly answer to obtain the test results, and then submitted to the evaluation server, finally the score is obtained.\n\nSo the `sumission.csv` is actually obtained in the local machine. \nWhat I expect is, I directly upload the local `submission.csv` into the Kaggle server, so the server does not need to run the notebook twice to get the same `submission.csv`.\n\nAnyway, thank you very much for your kind answer! I will follow the submission rules in Kaggle.\n"
        },
        {
          "id": 1564114,
          "postDate": "2021-10-28T22:01:03.303Z",
          "rawMarkdown": "",
          "votes": 1,
          "isDeleted": true
        },
        {
          "id": 1564165,
          "postDate": "2021-10-29T00:07:34.643Z",
          "content": "<p>Yeah, understood. Thanks for your kind comment!</p>",
          "rawMarkdown": "Yeah, understood. Thanks for your kind comment!"
        }
      ]
    }
  ],
  "comments": [
    {
      "id": 1563194,
      "author_name": "",
      "author_url": "",
      "post_date": "2021-10-28T05:55:49.657000",
      "content": "",
      "votes": 2,
      "replies": [
        {
          "id": 1564107,
          "author_name": "active2018",
          "author_url": "",
          "post_date": "2021-10-28T21:41:56.947000",
          "content": "<p>Hi <a href=\"https://www.kaggle.com/weka511\" target=\"_blank\">@weka511</a> , thanks a lot for your kind comment and so detail reply!</p>\n<p>I am sorry I did not make myself clear on my question.<br>\nIn fact, I downloaded all the data into local machine and trained the model locally. <br>\nThen I uploaded the model into the Dataset, then using the similar method described in your kindly answer to obtain the test results, and then submitted to the evaluation server, finally the score is obtained.</p>\n<p>So the <code>sumission.csv</code> is actually obtained in the local machine. <br>\nWhat I expect is, I directly upload the local <code>submission.csv</code> into the Kaggle server, so the server does not need to run the notebook twice to get the same <code>submission.csv</code>.</p>\n<p>Anyway, thank you very much for your kind answer! I will follow the submission rules in Kaggle.</p>",
          "votes": 0,
          "replies": []
        },
        {
          "id": 1564114,
          "author_name": "",
          "author_url": "",
          "post_date": "2021-10-28T22:01:03.303000",
          "content": "",
          "votes": 1,
          "replies": []
        },
        {
          "id": 1564165,
          "author_name": "active2018",
          "author_url": "",
          "post_date": "2021-10-29T00:07:34.643000",
          "content": "<p>Yeah, understood. Thanks for your kind comment!</p>",
          "votes": 0,
          "replies": []
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "1563023": "Hi\n\nI downloaded the `submission.csv` from one of the previous successfully notebooks which has a score of 0.17.\nAnd I create a new notebook, upload the `submission.csv` into the dataset with path of `../input/resultsv2/submission.csv`.\nThe notebook content is\n\n```\nimport shutil\nshutil.copyfile('../input/resultsv2/submission.csv', 'submission.csv')\n```\n\nAfter submitting this new notebook, there is an error named `Submission Scoring Error`.\nI checked the contents of both `../input/resultsv2/submission.csv` and `submission.csv`, they are the same. \n\nCould you please give some advice about the error? Thanks.",
    "1563194": ""
  }
}