{
  "id": 141924,
  "title": "Submission when there is no private test set",
  "url": "/competitions/jigsaw-multilingual-toxic-comment-classification/discussion/141924",
  "author_name": "",
  "post_date": "2020-04-08T03:03:41.304339900Z",
  "votes": 3,
  "comment_count": 3,
  "views": 0,
  "content": "<p>It looks like this competition does not have a private test set? I have not participated in a competition with no private test set before.  So this may be a dumb question: can I just upload a submission csv to a Kaggle dataset and read it in a Kernel and submit it for my final score, without running any inference? Something like\n<code>\ntest = pd.read_csv(\"/kaggle/input/some-dataset/submission_generated_offline.csv\")\ntest.to_csv(\"submission.csv\",index=False)\n</code>\nThank you.</p>",
  "messages": [
    {
      "id": "801071",
      "postDate": "04/08/2020 03:03:41",
      "content": "<p>It looks like this competition does not have a private test set? I have not participated in a competition with no private test set before.  So this may be a dumb question: can I just upload a submission csv to a Kaggle dataset and read it in a Kernel and submit it for my final score, without running any inference? Something like\n<code>\ntest = pd.read_csv(\"/kaggle/input/some-dataset/submission_generated_offline.csv\")\ntest.to_csv(\"submission.csv\",index=False)\n</code>\nThank you.</p>",
      "rawMarkdown": "It looks like this competition does not have a private test set? I have not participated in a competition with no private test set before.  So this may be a dumb question: can I just upload a submission csv to a Kaggle dataset and read it in a Kernel and submit it for my final score, without running any inference? Something like\n```\ntest = pd.read_csv(\"/kaggle/input/some-dataset/submission_generated_offline.csv\")\ntest.to_csv(\"submission.csv\",index=False)\n```\nThank you.",
      "votes": null
    },
    {
      "id": "801098",
      "postDate": "04/08/2020 04:23:55",
      "content": "<p>Yep it will work;</p>",
      "rawMarkdown": "Yep it will work;",
      "votes": null
    },
    {
      "id": "801429",
      "postDate": "04/08/2020 13:28:46",
      "content": "<p>Thank you.</p>",
      "rawMarkdown": "Thank you.",
      "votes": null
    },
    {
      "id": "801739",
      "postDate": "04/08/2020 18:44:04",
      "content": "<p>But doesn't this defeat the purpose of a Kaggle <em>Code Competition</em> ? </p>\n\n<p>EDIT : Ah well, the organisers have clarified <a href=\"https://www.kaggle.com/c/jigsaw-multilingual-toxic-comment-classification/discussion/141160\">here</a> that it is acceptable.</p>",
      "rawMarkdown": "But doesn't this defeat the purpose of a Kaggle *Code Competition* ? \n\nEDIT : Ah well, the organisers have clarified [here](https://www.kaggle.com/c/jigsaw-multilingual-toxic-comment-classification/discussion/141160) that it is acceptable.",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 801098,
      "author_name": "adityaecdrid",
      "author_url": "",
      "post_date": "04/08/2020 04:23:55",
      "content": "<p>Yep it will work;</p>",
      "votes": null,
      "replies": [
        {
          "id": 801429,
          "author_name": "zhangyang",
          "author_url": "",
          "post_date": "04/08/2020 13:28:46",
          "content": "<p>Thank you.</p>",
          "votes": null,
          "replies": []
        },
        {
          "id": 801739,
          "author_name": "sachinprabhu",
          "author_url": "",
          "post_date": "04/08/2020 18:44:04",
          "content": "<p>But doesn't this defeat the purpose of a Kaggle <em>Code Competition</em> ? </p>\n\n<p>EDIT : Ah well, the organisers have clarified <a href=\"https://www.kaggle.com/c/jigsaw-multilingual-toxic-comment-classification/discussion/141160\">here</a> that it is acceptable.</p>",
          "votes": null,
          "replies": []
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "801071": "It looks like this competition does not have a private test set? I have not participated in a competition with no private test set before.  So this may be a dumb question: can I just upload a submission csv to a Kaggle dataset and read it in a Kernel and submit it for my final score, without running any inference? Something like\n```\ntest = pd.read_csv(\"/kaggle/input/some-dataset/submission_generated_offline.csv\")\ntest.to_csv(\"submission.csv\",index=False)\n```\nThank you.",
    "801098": "Yep it will work;",
    "801429": "Thank you.",
    "801739": "But doesn't this defeat the purpose of a Kaggle *Code Competition* ? \n\nEDIT : Ah well, the organisers have clarified [here](https://www.kaggle.com/c/jigsaw-multilingual-toxic-comment-classification/discussion/141160) that it is acceptable."
  },
  "source": "meta"
}