{
  "id": 202296,
  "title": "Minor error in the data set",
  "url": "/competitions/riiid-test-answer-prediction/discussion/202296",
  "author_name": "",
  "post_date": "2020-12-09T09:37:26.720575400Z",
  "votes": 20,
  "comment_count": 2,
  "views": 0,
  "content": "<p>Let us suppose that the entire training data  in a pandas dataframe named full_df. The following query yields something interesting:</p>\n<p>=================================================================</p>\n<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F82759%2Fed4a86bb13b07157ebd563765d3f69a0%2FScreen%20Shot%202020-12-09%20at%202.59.18%20PM.png?generation=1607506217550717&amp;alt=media\" alt=\"\"></p>\n<p>=================================================================</p>\n<p>Thus user answered the same question multiple times in the same time(since they have the same timestamp), and yet they were attributed different task_container_id's. Does that go in line with our expectations?</p>\n<p>Thanks</p>",
  "messages": [
    {
      "id": "1107011",
      "postDate": "12/09/2020 09:37:26",
      "content": "<p>Let us suppose that the entire training data  in a pandas dataframe named full_df. The following query yields something interesting:</p>\n<p>=================================================================</p>\n<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F82759%2Fed4a86bb13b07157ebd563765d3f69a0%2FScreen%20Shot%202020-12-09%20at%202.59.18%20PM.png?generation=1607506217550717&amp;alt=media\" alt=\"\"></p>\n<p>=================================================================</p>\n<p>Thus user answered the same question multiple times in the same time(since they have the same timestamp), and yet they were attributed different task_container_id's. Does that go in line with our expectations?</p>\n<p>Thanks</p>",
      "rawMarkdown": "Let us suppose that the entire training data  in a pandas dataframe named full_df. The following query yields something interesting:\n\n=================================================================\n\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F82759%2Fed4a86bb13b07157ebd563765d3f69a0%2FScreen%20Shot%202020-12-09%20at%202.59.18%20PM.png?generation=1607506217550717&alt=media)\n\n=================================================================\n\nThus user answered the same question multiple times in the same time(since they have the same timestamp), and yet they were attributed different task_container_id's. Does that go in line with our expectations?\n\nThanks",
      "votes": null
    },
    {
      "id": "1107113",
      "postDate": "12/09/2020 12:02:33",
      "content": "<p>good catch!</p>",
      "rawMarkdown": "good catch!",
      "votes": null
    },
    {
      "id": "1108206",
      "postDate": "12/10/2020 11:59:06",
      "content": "<p>i am also looking for this…</p>",
      "rawMarkdown": "i am also looking for this...",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 1107113,
      "author_name": "steubk",
      "author_url": "",
      "post_date": "12/09/2020 12:02:33",
      "content": "<p>good catch!</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 1108206,
      "author_name": "andleebhayath",
      "author_url": "",
      "post_date": "12/10/2020 11:59:06",
      "content": "<p>i am also looking for this…</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "1107011": "Let us suppose that the entire training data  in a pandas dataframe named full_df. The following query yields something interesting:\n\n=================================================================\n\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F82759%2Fed4a86bb13b07157ebd563765d3f69a0%2FScreen%20Shot%202020-12-09%20at%202.59.18%20PM.png?generation=1607506217550717&alt=media)\n\n=================================================================\n\nThus user answered the same question multiple times in the same time(since they have the same timestamp), and yet they were attributed different task_container_id's. Does that go in line with our expectations?\n\nThanks",
    "1107113": "good catch!",
    "1108206": "i am also looking for this..."
  },
  "source": "meta"
}