{
  "id": 24583,
  "title": "documents_meta - future dates in publish_time",
  "url": "/competitions/outbrain-click-prediction/discussion/24583",
  "author_name": "",
  "post_date": "2016-10-20T01:49:02.680Z",
  "votes": 1,
  "comment_count": 1,
  "views": 441,
  "content": "<p>&quot;The dataset for this challenge contains a sample of users&#8217; page views and clicks, as observed on multiple publisher sites in the United States between 14-June-2016 and 28-June-2016. Each viewed page or clicked recommendation is further accompanied by some semantic attributes of those documents.&quot;</p>\n\n<p>documents_meta.csv publish_time has dates in future 2016 months even years up to 2020.\nIs this meta for docs unrelated to the page views or just unreliable?</p>",
  "messages": [
    {
      "id": "140382",
      "postDate": "10/20/2016 01:49:02",
      "content": "<p>&quot;The dataset for this challenge contains a sample of users&#8217; page views and clicks, as observed on multiple publisher sites in the United States between 14-June-2016 and 28-June-2016. Each viewed page or clicked recommendation is further accompanied by some semantic attributes of those documents.&quot;</p>\n\n<p>documents_meta.csv publish_time has dates in future 2016 months even years up to 2020.\nIs this meta for docs unrelated to the page views or just unreliable?</p>",
      "rawMarkdown": "\"The dataset for this challenge contains a sample of users’ page views and clicks, as observed on multiple publisher sites in the United States between 14-June-2016 and 28-June-2016. Each viewed page or clicked recommendation is further accompanied by some semantic attributes of those documents.\"\r\n\r\ndocuments_meta.csv publish_time has dates in future 2016 months even years up to 2020.\r\nIs this meta for docs unrelated to the page views or just unreliable?",
      "votes": null
    },
    {
      "id": "142641",
      "postDate": "11/03/2016 15:43:12",
      "content": "<p>I noticed the same thing.\njust 64% of the data in documents_meta is between 01-01-1950 and 28-06-2016.\nThe rest of the data is either NaN or outside of this range.</p>",
      "rawMarkdown": "I noticed the same thing.\r\njust 64% of the data in documents_meta is between 01-01-1950 and 28-06-2016.\r\nThe rest of the data is either NaN or outside of this range.",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 142641,
      "author_name": "verachtertr",
      "author_url": "",
      "post_date": "11/03/2016 15:43:12",
      "content": "<p>I noticed the same thing.\njust 64% of the data in documents_meta is between 01-01-1950 and 28-06-2016.\nThe rest of the data is either NaN or outside of this range.</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "140382": "\"The dataset for this challenge contains a sample of users’ page views and clicks, as observed on multiple publisher sites in the United States between 14-June-2016 and 28-June-2016. Each viewed page or clicked recommendation is further accompanied by some semantic attributes of those documents.\"\r\n\r\ndocuments_meta.csv publish_time has dates in future 2016 months even years up to 2020.\r\nIs this meta for docs unrelated to the page views or just unreliable?",
    "142641": "I noticed the same thing.\r\njust 64% of the data in documents_meta is between 01-01-1950 and 28-06-2016.\r\nThe rest of the data is either NaN or outside of this range."
  },
  "source": "meta"
}