{
  "id": 71624,
  "title": "EXTERNAL DATA",
  "url": "/competitions/quora-insincere-questions-classification/discussion/71624",
  "author_name": "",
  "post_date": "2018-11-15T08:19:33.134397200Z",
  "votes": null,
  "comment_count": 2,
  "views": 0,
  "content": "<blockquote>\n  <p>As described in section 7(c) in these competition rules below, external data is not allowed. However, pre-trained models may be used to construct the algorithms. The permitted whitelist of pre-trained models are contained on the Competition Website's Data Page.</p>\n</blockquote>\n\n<p>I'm new and I don't understand what is the whitelisted pre-trained models? Can someone explain it to me please!</p>",
  "messages": [
    {
      "id": "421644",
      "postDate": "11/15/2018 08:19:33",
      "content": "<blockquote>\n  <p>As described in section 7(c) in these competition rules below, external data is not allowed. However, pre-trained models may be used to construct the algorithms. The permitted whitelist of pre-trained models are contained on the Competition Website's Data Page.</p>\n</blockquote>\n\n<p>I'm new and I don't understand what is the whitelisted pre-trained models? Can someone explain it to me please!</p>",
      "rawMarkdown": "&gt; As described in section 7(c) in these competition rules below, external data is not allowed. However, pre-trained models may be used to construct the algorithms. The permitted whitelist of pre-trained models are contained on the Competition Website's Data Page.\n\nI'm new and I don't understand what is the whitelisted pre-trained models? Can someone explain it to me please!",
      "votes": null
    },
    {
      "id": "421688",
      "postDate": "11/15/2018 09:12:35",
      "content": "<p>Hello Hoang,</p>\n\n<p>If you look in the \"Data\" page of the competition, you will see this : </p>\n\n<p>Embeddings\nExternal data sources are not allowed for this competition. We are, though, providing a number of word embeddings along with the dataset that can be used in the models. These are as follows:</p>\n\n<p>GoogleNews-vectors-negative300 - <a href=\"https://code.google.com/archive/p/word2vec/\">https://code.google.com/archive/p/word2vec/</a>\nglove.840B.300d - <a href=\"https://nlp.stanford.edu/projects/glove/\">https://nlp.stanford.edu/projects/glove/</a>\nparagram_300_sl999 - <a href=\"https://cogcomp.org/page/resource_view/106\">https://cogcomp.org/page/resource_view/106</a>\nwiki-news-300d-1M - <a href=\"https://fasttext.cc/docs/en/english-vectors.html\">https://fasttext.cc/docs/en/english-vectors.html</a></p>",
      "rawMarkdown": "Hello Hoang,\n\nIf you look in the \"Data\" page of the competition, you will see this : \n\nEmbeddings\nExternal data sources are not allowed for this competition. We are, though, providing a number of word embeddings along with the dataset that can be used in the models. These are as follows:\n\nGoogleNews-vectors-negative300 - https://code.google.com/archive/p/word2vec/\nglove.840B.300d - https://nlp.stanford.edu/projects/glove/\nparagram_300_sl999 - https://cogcomp.org/page/resource_view/106\nwiki-news-300d-1M - https://fasttext.cc/docs/en/english-vectors.html",
      "votes": null
    },
    {
      "id": "421694",
      "postDate": "11/15/2018 09:22:06",
      "content": "<p>So these things is whitelisted pre-trained models, I got it! Thanks!  </p>",
      "rawMarkdown": "So these things is whitelisted pre-trained models, I got it! Thanks!",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 421688,
      "author_name": "xtelima",
      "author_url": "",
      "post_date": "11/15/2018 09:12:35",
      "content": "<p>Hello Hoang,</p>\n\n<p>If you look in the \"Data\" page of the competition, you will see this : </p>\n\n<p>Embeddings\nExternal data sources are not allowed for this competition. We are, though, providing a number of word embeddings along with the dataset that can be used in the models. These are as follows:</p>\n\n<p>GoogleNews-vectors-negative300 - <a href=\"https://code.google.com/archive/p/word2vec/\">https://code.google.com/archive/p/word2vec/</a>\nglove.840B.300d - <a href=\"https://nlp.stanford.edu/projects/glove/\">https://nlp.stanford.edu/projects/glove/</a>\nparagram_300_sl999 - <a href=\"https://cogcomp.org/page/resource_view/106\">https://cogcomp.org/page/resource_view/106</a>\nwiki-news-300d-1M - <a href=\"https://fasttext.cc/docs/en/english-vectors.html\">https://fasttext.cc/docs/en/english-vectors.html</a></p>",
      "votes": null,
      "replies": [
        {
          "id": 421694,
          "author_name": "hoangpham51",
          "author_url": "",
          "post_date": "11/15/2018 09:22:06",
          "content": "<p>So these things is whitelisted pre-trained models, I got it! Thanks!  </p>",
          "votes": null,
          "replies": []
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "421644": "&gt; As described in section 7(c) in these competition rules below, external data is not allowed. However, pre-trained models may be used to construct the algorithms. The permitted whitelist of pre-trained models are contained on the Competition Website's Data Page.\n\nI'm new and I don't understand what is the whitelisted pre-trained models? Can someone explain it to me please!",
    "421688": "Hello Hoang,\n\nIf you look in the \"Data\" page of the competition, you will see this : \n\nEmbeddings\nExternal data sources are not allowed for this competition. We are, though, providing a number of word embeddings along with the dataset that can be used in the models. These are as follows:\n\nGoogleNews-vectors-negative300 - https://code.google.com/archive/p/word2vec/\nglove.840B.300d - https://nlp.stanford.edu/projects/glove/\nparagram_300_sl999 - https://cogcomp.org/page/resource_view/106\nwiki-news-300d-1M - https://fasttext.cc/docs/en/english-vectors.html",
    "421694": "So these things is whitelisted pre-trained models, I got it! Thanks!"
  },
  "source": "meta"
}