{
  "id": 189957,
  "title": "Any pinned thread for external data??",
  "url": "/competitions/rsna-str-pulmonary-embolism-detection/discussion/189957",
  "author_name": "Nitin Datta",
  "post_date": "2020-10-09T13:22:29.435000",
  "votes": 1,
  "comment_count": 3,
  "views": 0,
  "content": "<p>I could not find any pinned thread for adding external data..<br>\nCan anyone share if there is already a thread for this.. </p>\n<p>Thanks in advance</p>",
  "messages": [
    {
      "id": 1044136,
      "postDate": "2020-10-09T14:43:11.903Z",
      "content": "<p>Per the \"Welcome to the Competition Thread\"</p>\n<blockquote>\n  <p>We are no longer making external data announcement a requirement of participants. It is still a participant's responsibility to abide by the rules of the competition associated with their external data use, including that it be \"publicly and freely available and equally accessible to use by all participants of the competition for purposes of the competition at no cost to the other participants,\" (Section 7C) and you should expect that the respective hosts will be validating this. Likewise, those in winning standing will be expected to license their code/solutions according to this competition's requirements, or risk disqualification.</p>\n</blockquote>",
      "rawMarkdown": "Per the \"Welcome to the Competition Thread\"\n\n> We are no longer making external data announcement a requirement of participants. It is still a participant's responsibility to abide by the rules of the competition associated with their external data use, including that it be \"publicly and freely available and equally accessible to use by all participants of the competition for purposes of the competition at no cost to the other participants,\" (Section 7C) and you should expect that the respective hosts will be validating this. Likewise, those in winning standing will be expected to license their code/solutions according to this competition's requirements, or risk disqualification.\n",
      "votes": 3,
      "replies": [
        {
          "id": 1044169,
          "postDate": "2020-10-09T15:13:15.797Z",
          "content": "<p>Thank you for sharing.. <br>\nDid not come through this.</p>",
          "rawMarkdown": "Thank you for sharing.. \nDid not come through this."
        }
      ]
    },
    {
      "id": 1044052,
      "postDate": "2020-10-09T13:23:06.243Z",
      "content": "<p>Adding this as external data <a href=\"https://github.com/Cadene/pretrained-models.pytorch\" target=\"_blank\">https://github.com/Cadene/pretrained-models.pytorch</a></p>",
      "rawMarkdown": "Adding this as external data https://github.com/Cadene/pretrained-models.pytorch",
      "votes": 1
    },
    {
      "id": 1044051,
      "postDate": "2020-10-09T13:22:29.437Z",
      "content": "<p>I could not find any pinned thread for adding external data..<br>\nCan anyone share if there is already a thread for this.. </p>\n<p>Thanks in advance</p>",
      "rawMarkdown": "I could not find any pinned thread for adding external data..\nCan anyone share if there is already a thread for this.. \n\nThanks in advance",
      "votes": 1
    }
  ],
  "comments": [
    {
      "id": 1044136,
      "author_name": "quadcore/Richard Epstein",
      "author_url": "",
      "post_date": "2020-10-09T14:43:11.903000",
      "content": "<p>Per the \"Welcome to the Competition Thread\"</p>\n<blockquote>\n  <p>We are no longer making external data announcement a requirement of participants. It is still a participant's responsibility to abide by the rules of the competition associated with their external data use, including that it be \"publicly and freely available and equally accessible to use by all participants of the competition for purposes of the competition at no cost to the other participants,\" (Section 7C) and you should expect that the respective hosts will be validating this. Likewise, those in winning standing will be expected to license their code/solutions according to this competition's requirements, or risk disqualification.</p>\n</blockquote>",
      "votes": 3,
      "replies": [
        {
          "id": 1044169,
          "author_name": "Nitin Datta",
          "author_url": "",
          "post_date": "2020-10-09T15:13:15.797000",
          "content": "<p>Thank you for sharing.. <br>\nDid not come through this.</p>",
          "votes": 0,
          "replies": []
        }
      ]
    },
    {
      "id": 1044052,
      "author_name": "Nitin Datta",
      "author_url": "",
      "post_date": "2020-10-09T13:23:06.243000",
      "content": "<p>Adding this as external data <a href=\"https://github.com/Cadene/pretrained-models.pytorch\" target=\"_blank\">https://github.com/Cadene/pretrained-models.pytorch</a></p>",
      "votes": 1,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "1044136": "Per the \"Welcome to the Competition Thread\"\n\n> We are no longer making external data announcement a requirement of participants. It is still a participant's responsibility to abide by the rules of the competition associated with their external data use, including that it be \"publicly and freely available and equally accessible to use by all participants of the competition for purposes of the competition at no cost to the other participants,\" (Section 7C) and you should expect that the respective hosts will be validating this. Likewise, those in winning standing will be expected to license their code/solutions according to this competition's requirements, or risk disqualification.\n",
    "1044052": "Adding this as external data https://github.com/Cadene/pretrained-models.pytorch",
    "1044051": "I could not find any pinned thread for adding external data..\nCan anyone share if there is already a thread for this.. \n\nThanks in advance"
  }
}