{
  "id": 235297,
  "title": "What is \"the mention of datasets\"",
  "url": "/competitions/coleridgeinitiative-show-us-the-data/discussion/235297",
  "author_name": "",
  "post_date": "2021-04-28T18:30:56.124649900Z",
  "votes": 8,
  "comment_count": 7,
  "views": 0,
  "content": "<p>The purpose of this competition, according to the Data Description Page, is as follows<br>\n<code>The objective of the competition is to identify the mention of datasets within scientific publications.</code></p>\n<p>There have been some similar discussions in the discussions, but I haven't really understood them yet!</p>\n<p><strong>Question: HOW TO ANNOTATE</strong><br>\nEx1<br>\nThe ADNI-related labels in the existing dataset include</p>\n<ul>\n<li>adni</li>\n<li>alzheimer s disease neuroimaging initiative adni</li>\n<li>alzheimers disease neuroimaging initiative</li>\n</ul>\n<p>However, if you want to take a closer look, the following should be added</p>\n<ul>\n<li>alzheimers disease neuroimaging initiative adni</li>\n<li>alzheimer s disease neuroimaging initiative</li>\n</ul>\n<p>(Since the score was higher when the \"alzheimers disease neuroimaging initiative\" and \"adni\" were also labeled than when only \"adni\" was labeled, it is unlikely that a single label will cover the same data set with different names.)</p>\n<p>Ex2<br>\nOne of the NSF-NCSES related labels is</p>\n<ul>\n<li>National Center for Science and Engineering Statistics, Survey of Doctorate Recipients</li>\n</ul>\n<p>However, in practice, because it can come out as follows</p>\n<blockquote>\n  <p>National Science Foundation, National Center for Science and Engineering Statistics, Survey of Doctorate Recipients, 2010, and National Survey of College Graduates</p>\n</blockquote>\n<p>So the following are also candidates for labels</p>\n<ul>\n<li>survey of doctorate recipients</li>\n<li>survey of doctorate recipients 2010</li>\n<li>survey of doctorate recipients 2010 and national survey of college graduates</li>\n<li>national science foundation national center for science and engineering statistics survey of doctorate recipients</li>\n<li>national science foundation national center for science and engineering statistics survey of doctorate recipients 2010</li>\n<li>national science foundation national center for science and engineering statistics survey of doctorate recipients 2010 and national survey of college graduates</li>\n</ul>\n<p><strong>To what extent should we predict dataset names (longest match, exhaustive, or partial)?</strong></p>",
  "messages": [
    {
      "id": "1287152",
      "postDate": "04/28/2021 18:30:56",
      "content": "<p>The purpose of this competition, according to the Data Description Page, is as follows<br>\n<code>The objective of the competition is to identify the mention of datasets within scientific publications.</code></p>\n<p>There have been some similar discussions in the discussions, but I haven't really understood them yet!</p>\n<p><strong>Question: HOW TO ANNOTATE</strong><br>\nEx1<br>\nThe ADNI-related labels in the existing dataset include</p>\n<ul>\n<li>adni</li>\n<li>alzheimer s disease neuroimaging initiative adni</li>\n<li>alzheimers disease neuroimaging initiative</li>\n</ul>\n<p>However, if you want to take a closer look, the following should be added</p>\n<ul>\n<li>alzheimers disease neuroimaging initiative adni</li>\n<li>alzheimer s disease neuroimaging initiative</li>\n</ul>\n<p>(Since the score was higher when the \"alzheimers disease neuroimaging initiative\" and \"adni\" were also labeled than when only \"adni\" was labeled, it is unlikely that a single label will cover the same data set with different names.)</p>\n<p>Ex2<br>\nOne of the NSF-NCSES related labels is</p>\n<ul>\n<li>National Center for Science and Engineering Statistics, Survey of Doctorate Recipients</li>\n</ul>\n<p>However, in practice, because it can come out as follows</p>\n<blockquote>\n  <p>National Science Foundation, National Center for Science and Engineering Statistics, Survey of Doctorate Recipients, 2010, and National Survey of College Graduates</p>\n</blockquote>\n<p>So the following are also candidates for labels</p>\n<ul>\n<li>survey of doctorate recipients</li>\n<li>survey of doctorate recipients 2010</li>\n<li>survey of doctorate recipients 2010 and national survey of college graduates</li>\n<li>national science foundation national center for science and engineering statistics survey of doctorate recipients</li>\n<li>national science foundation national center for science and engineering statistics survey of doctorate recipients 2010</li>\n<li>national science foundation national center for science and engineering statistics survey of doctorate recipients 2010 and national survey of college graduates</li>\n</ul>\n<p><strong>To what extent should we predict dataset names (longest match, exhaustive, or partial)?</strong></p>",
      "rawMarkdown": "The purpose of this competition, according to the Data Description Page, is as follows\n`The objective of the competition is to identify the mention of datasets within scientific publications.`\n\nThere have been some similar discussions in the discussions, but I haven't really understood them yet!\n\n**Question: HOW TO ANNOTATE**\nEx1\nThe ADNI-related labels in the existing dataset include\n* adni\n* alzheimer s disease neuroimaging initiative adni\n* alzheimers disease neuroimaging initiative\n\nHowever, if you want to take a closer look, the following should be added\n* alzheimers disease neuroimaging initiative adni\n* alzheimer s disease neuroimaging initiative\n\n(Since the score was higher when the \"alzheimers disease neuroimaging initiative\" and \"adni\" were also labeled than when only \"adni\" was labeled, it is unlikely that a single label will cover the same data set with different names.)\n\nEx2\nOne of the NSF-NCSES related labels is\n*  National Center for Science and Engineering Statistics, Survey of Doctorate Recipients\n\nHowever, in practice, because it can come out as follows\n> National Science Foundation, National Center for Science and Engineering Statistics, Survey of Doctorate Recipients, 2010, and National Survey of College Graduates\n\nSo the following are also candidates for labels\n* survey of doctorate recipients\n* survey of doctorate recipients 2010\n* survey of doctorate recipients 2010 and national survey of college graduates\n* national science foundation national center for science and engineering statistics survey of doctorate recipients\n* national science foundation national center for science and engineering statistics survey of doctorate recipients 2010\n* national science foundation national center for science and engineering statistics survey of doctorate recipients 2010 and national survey of college graduates\n\n**To what extent should we predict dataset names (longest match, exhaustive, or partial)?**",
      "votes": null
    },
    {
      "id": "1287266",
      "postDate": "04/28/2021 20:59:28",
      "content": "<p>The answer to this question is: nobody knows 😔</p>",
      "rawMarkdown": "The answer to this question is: nobody knows 😔",
      "votes": null
    },
    {
      "id": "1287356",
      "postDate": "04/29/2021 01:34:43",
      "content": "<p>Oh My God!!!</p>",
      "rawMarkdown": "Oh My God!!!",
      "votes": null
    },
    {
      "id": "1287388",
      "postDate": "04/29/2021 03:19:35",
      "content": "<p><a href=\"https://www.kaggle.com/philculliton\" target=\"_blank\">@philculliton</a> said that <a href=\"https://www.kaggle.com/c/coleridgeinitiative-show-us-the-data/discussion/228322#1270869\" target=\"_blank\">he is discussing with the host</a> and will provide detailed answers for these questions (including score calculation when short/long labels are used).</p>",
      "rawMarkdown": "philculliton said that [he is discussing with the host](https://www.kaggle.com/c/coleridgeinitiative-show-us-the-data/discussion/228322#1270869) and will provide detailed answers for these questions (including score calculation when short/long labels are used).",
      "votes": null
    },
    {
      "id": "1287398",
      "postDate": "04/29/2021 03:35:50",
      "content": "<p>That's my reaction too…</p>",
      "rawMarkdown": "That's my reaction too...",
      "votes": null
    },
    {
      "id": "1287935",
      "postDate": "04/29/2021 14:41:23",
      "content": "<p>Oh, Good discussion. I had overlooked this.<br>\nI hope he will answer it.</p>",
      "rawMarkdown": "Oh, Good discussion. I had overlooked this.\nI hope he will answer it.",
      "votes": null
    },
    {
      "id": "1295985",
      "postDate": "05/06/2021 21:13:13",
      "content": "<p>That's definitely the best answer I could find… please also have a look  <a href=\"https://www.kaggle.com/c/coleridgeinitiative-show-us-the-data/discussion/236972\" target=\"_blank\">here</a> to try to fix it</p>",
      "rawMarkdown": "That's definitely the best answer I could find... please also have a look  [here](https://www.kaggle.com/c/coleridgeinitiative-show-us-the-data/discussion/236972) to try to fix it",
      "votes": null
    },
    {
      "id": "1296101",
      "postDate": "05/07/2021 01:28:08",
      "content": "<p>Good suggestion. I was thinking that would be better too.</p>\n<blockquote>\n  <p>only ONE label for EACH mention.</p>\n</blockquote>",
      "rawMarkdown": "Good suggestion. I was thinking that would be better too.\n> only ONE label for EACH mention.",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 1287266,
      "author_name": "hannes82",
      "author_url": "",
      "post_date": "04/28/2021 20:59:28",
      "content": "<p>The answer to this question is: nobody knows 😔</p>",
      "votes": null,
      "replies": [
        {
          "id": 1287356,
          "author_name": "ht5brer",
          "author_url": "",
          "post_date": "04/29/2021 01:34:43",
          "content": "<p>Oh My God!!!</p>",
          "votes": null,
          "replies": []
        },
        {
          "id": 1287398,
          "author_name": "leecming",
          "author_url": "",
          "post_date": "04/29/2021 03:35:50",
          "content": "<p>That's my reaction too…</p>",
          "votes": null,
          "replies": []
        },
        {
          "id": 1295985,
          "author_name": "eguidotti",
          "author_url": "",
          "post_date": "05/06/2021 21:13:13",
          "content": "<p>That's definitely the best answer I could find… please also have a look  <a href=\"https://www.kaggle.com/c/coleridgeinitiative-show-us-the-data/discussion/236972\" target=\"_blank\">here</a> to try to fix it</p>",
          "votes": null,
          "replies": []
        },
        {
          "id": 1296101,
          "author_name": "ht5brer",
          "author_url": "",
          "post_date": "05/07/2021 01:28:08",
          "content": "<p>Good suggestion. I was thinking that would be better too.</p>\n<blockquote>\n  <p>only ONE label for EACH mention.</p>\n</blockquote>",
          "votes": null,
          "replies": []
        }
      ]
    },
    {
      "id": 1287388,
      "author_name": "sirishks",
      "author_url": "",
      "post_date": "04/29/2021 03:19:35",
      "content": "<p><a href=\"https://www.kaggle.com/philculliton\" target=\"_blank\">@philculliton</a> said that <a href=\"https://www.kaggle.com/c/coleridgeinitiative-show-us-the-data/discussion/228322#1270869\" target=\"_blank\">he is discussing with the host</a> and will provide detailed answers for these questions (including score calculation when short/long labels are used).</p>",
      "votes": null,
      "replies": [
        {
          "id": 1287935,
          "author_name": "ht5brer",
          "author_url": "",
          "post_date": "04/29/2021 14:41:23",
          "content": "<p>Oh, Good discussion. I had overlooked this.<br>\nI hope he will answer it.</p>",
          "votes": null,
          "replies": []
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "1287152": "The purpose of this competition, according to the Data Description Page, is as follows\n`The objective of the competition is to identify the mention of datasets within scientific publications.`\n\nThere have been some similar discussions in the discussions, but I haven't really understood them yet!\n\n**Question: HOW TO ANNOTATE**\nEx1\nThe ADNI-related labels in the existing dataset include\n* adni\n* alzheimer s disease neuroimaging initiative adni\n* alzheimers disease neuroimaging initiative\n\nHowever, if you want to take a closer look, the following should be added\n* alzheimers disease neuroimaging initiative adni\n* alzheimer s disease neuroimaging initiative\n\n(Since the score was higher when the \"alzheimers disease neuroimaging initiative\" and \"adni\" were also labeled than when only \"adni\" was labeled, it is unlikely that a single label will cover the same data set with different names.)\n\nEx2\nOne of the NSF-NCSES related labels is\n*  National Center for Science and Engineering Statistics, Survey of Doctorate Recipients\n\nHowever, in practice, because it can come out as follows\n> National Science Foundation, National Center for Science and Engineering Statistics, Survey of Doctorate Recipients, 2010, and National Survey of College Graduates\n\nSo the following are also candidates for labels\n* survey of doctorate recipients\n* survey of doctorate recipients 2010\n* survey of doctorate recipients 2010 and national survey of college graduates\n* national science foundation national center for science and engineering statistics survey of doctorate recipients\n* national science foundation national center for science and engineering statistics survey of doctorate recipients 2010\n* national science foundation national center for science and engineering statistics survey of doctorate recipients 2010 and national survey of college graduates\n\n**To what extent should we predict dataset names (longest match, exhaustive, or partial)?**",
    "1287266": "The answer to this question is: nobody knows 😔",
    "1287356": "Oh My God!!!",
    "1287388": "philculliton said that [he is discussing with the host](https://www.kaggle.com/c/coleridgeinitiative-show-us-the-data/discussion/228322#1270869) and will provide detailed answers for these questions (including score calculation when short/long labels are used).",
    "1287398": "That's my reaction too...",
    "1287935": "Oh, Good discussion. I had overlooked this.\nI hope he will answer it.",
    "1295985": "That's definitely the best answer I could find... please also have a look  [here](https://www.kaggle.com/c/coleridgeinitiative-show-us-the-data/discussion/236972) to try to fix it",
    "1296101": "Good suggestion. I was thinking that would be better too.\n> only ONE label for EACH mention."
  },
  "source": "meta"
}