{
  "id": 244161,
  "title": "Does the data from the datasets should also be included in the prediction ???",
  "url": "/competitions/coleridgeinitiative-show-us-the-data/discussion/244161",
  "author_name": "",
  "post_date": "2021-06-05T12:43:34.659867700Z",
  "votes": 2,
  "comment_count": 2,
  "views": 0,
  "content": "<p>Hi kagglers,</p>\n<p>I am going through some of the positive sentences and found that some sentence includes dataset, data and reference as well.</p>\n<p>In the below sentence.</p>\n<p>Sentence1:</p>\n<p>Subjects in the current study were selected from ADNIGo and ADNI2 dataset since they include eMCI data (For more details about imaging parameters, please see the ADNI protocols at <a href=\"http://adni.loni.ucla.edu)\" target=\"_blank\">http://adni.loni.ucla.edu)</a>.</p>\n<p>Datasets: ADNIGo, ADNI2<br>\nData : eMCI</p>\n<p>Should we include eMCI in the prediction.</p>\n<p>Sentence2:<br>\nExamples of recent databases with a significant amount of associated population details include the ADNI (Weiner et al., 2010)</p>\n<p>Should we include ADNI or ADNI (Weiner et al., 2010), the reference to the other paper.</p>\n<p>I understand that the dataset that matches long strings can be considered like Alzheimer's Disease Neuroimaging Initiative (ADNI), but in the above case it is not the abbrevation.</p>\n<p>Could someone help me understand how to deal with the above ?</p>",
  "messages": [
    {
      "id": "1337135",
      "postDate": "06/05/2021 12:43:34",
      "content": "<p>Hi kagglers,</p>\n<p>I am going through some of the positive sentences and found that some sentence includes dataset, data and reference as well.</p>\n<p>In the below sentence.</p>\n<p>Sentence1:</p>\n<p>Subjects in the current study were selected from ADNIGo and ADNI2 dataset since they include eMCI data (For more details about imaging parameters, please see the ADNI protocols at <a href=\"http://adni.loni.ucla.edu)\" target=\"_blank\">http://adni.loni.ucla.edu)</a>.</p>\n<p>Datasets: ADNIGo, ADNI2<br>\nData : eMCI</p>\n<p>Should we include eMCI in the prediction.</p>\n<p>Sentence2:<br>\nExamples of recent databases with a significant amount of associated population details include the ADNI (Weiner et al., 2010)</p>\n<p>Should we include ADNI or ADNI (Weiner et al., 2010), the reference to the other paper.</p>\n<p>I understand that the dataset that matches long strings can be considered like Alzheimer's Disease Neuroimaging Initiative (ADNI), but in the above case it is not the abbrevation.</p>\n<p>Could someone help me understand how to deal with the above ?</p>",
      "rawMarkdown": "Hi kagglers,\n\nI am going through some of the positive sentences and found that some sentence includes dataset, data and reference as well.\n\nIn the below sentence.\n\nSentence1:\n\nSubjects in the current study were selected from ADNIGo and ADNI2 dataset since they include eMCI data (For more details about imaging parameters, please see the ADNI protocols at http://adni.loni.ucla.edu).\n\nDatasets: ADNIGo, ADNI2\nData : eMCI\n\nShould we include eMCI in the prediction.\n\nSentence2:\nExamples of recent databases with a significant amount of associated population details include the ADNI (Weiner et al., 2010)\n\nShould we include ADNI or ADNI (Weiner et al., 2010), the reference to the other paper.\n\nI understand that the dataset that matches long strings can be considered like Alzheimer's Disease Neuroimaging Initiative (ADNI), but in the above case it is not the abbrevation.\n\n\n\nCould someone help me understand how to deal with the above ?",
      "votes": null
    },
    {
      "id": "1337813",
      "postDate": "06/05/2021 22:54:25",
      "content": "<p>The training set is not exhaustive meaning that there are valid datasets that are not in train.csv.  Part of the challenge of this competition is to figure out how to take the information the hosts gave us and create a good dataset from it. </p>\n<p>I don’t think you need to include the authors even though it might be a different dataset with the same name.  It’s a good question but given that none of the training datasets are labeled like that, I wouldn’t expect it in the final test. </p>",
      "rawMarkdown": "The training set is not exhaustive meaning that there are valid datasets that are not in train.csv.  Part of the challenge of this competition is to figure out how to take the information the hosts gave us and create a good dataset from it. \n\nI don’t think you need to include the authors even though it might be a different dataset with the same name.  It’s a good question but given that none of the training datasets are labeled like that, I wouldn’t expect it in the final test.",
      "votes": null
    },
    {
      "id": "1337886",
      "postDate": "06/06/2021 01:55:29",
      "content": "<p>what about the eMCI data in the ADNI dataset? It does look like the section of the data provided by the ADNI.</p>",
      "rawMarkdown": "what about the eMCI data in the ADNI dataset? It does look like the section of the data provided by the ADNI.",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 1337813,
      "author_name": "nbroad",
      "author_url": "",
      "post_date": "06/05/2021 22:54:25",
      "content": "<p>The training set is not exhaustive meaning that there are valid datasets that are not in train.csv.  Part of the challenge of this competition is to figure out how to take the information the hosts gave us and create a good dataset from it. </p>\n<p>I don’t think you need to include the authors even though it might be a different dataset with the same name.  It’s a good question but given that none of the training datasets are labeled like that, I wouldn’t expect it in the final test. </p>",
      "votes": null,
      "replies": [
        {
          "id": 1337886,
          "author_name": "narendra",
          "author_url": "",
          "post_date": "06/06/2021 01:55:29",
          "content": "<p>what about the eMCI data in the ADNI dataset? It does look like the section of the data provided by the ADNI.</p>",
          "votes": null,
          "replies": []
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "1337135": "Hi kagglers,\n\nI am going through some of the positive sentences and found that some sentence includes dataset, data and reference as well.\n\nIn the below sentence.\n\nSentence1:\n\nSubjects in the current study were selected from ADNIGo and ADNI2 dataset since they include eMCI data (For more details about imaging parameters, please see the ADNI protocols at http://adni.loni.ucla.edu).\n\nDatasets: ADNIGo, ADNI2\nData : eMCI\n\nShould we include eMCI in the prediction.\n\nSentence2:\nExamples of recent databases with a significant amount of associated population details include the ADNI (Weiner et al., 2010)\n\nShould we include ADNI or ADNI (Weiner et al., 2010), the reference to the other paper.\n\nI understand that the dataset that matches long strings can be considered like Alzheimer's Disease Neuroimaging Initiative (ADNI), but in the above case it is not the abbrevation.\n\n\n\nCould someone help me understand how to deal with the above ?",
    "1337813": "The training set is not exhaustive meaning that there are valid datasets that are not in train.csv.  Part of the challenge of this competition is to figure out how to take the information the hosts gave us and create a good dataset from it. \n\nI don’t think you need to include the authors even though it might be a different dataset with the same name.  It’s a good question but given that none of the training datasets are labeled like that, I wouldn’t expect it in the final test.",
    "1337886": "what about the eMCI data in the ADNI dataset? It does look like the section of the data provided by the ADNI."
  },
  "source": "meta"
}