{
  "id": 191024,
  "title": "Question about datatable",
  "url": "/competitions/riiid-test-answer-prediction/discussion/191024",
  "author_name": "",
  "post_date": "2020-10-14T07:56:37.856048100Z",
  "votes": null,
  "comment_count": 1,
  "views": 0,
  "content": "<p>I can't read train.csv using Datatable. It throw exception \"Unable to obtain size of data/train.csv: [errno 132] value too large\". What is the reason?</p>",
  "messages": [
    {
      "id": "1049214",
      "postDate": "10/14/2020 07:56:37",
      "content": "<p>I can't read train.csv using Datatable. It throw exception \"Unable to obtain size of data/train.csv: [errno 132] value too large\". What is the reason?</p>",
      "rawMarkdown": "I can't read train.csv using Datatable. It throw exception \"Unable to obtain size of data/train.csv: [errno 132] value too large\". What is the reason?",
      "votes": null
    },
    {
      "id": "1049232",
      "postDate": "10/14/2020 08:23:28",
      "content": "<p>If you follow the steps as per the notebook: <a href=\"https://www.kaggle.com/rohanrao/riiid-with-blazing-fast-rid\" target=\"_blank\">https://www.kaggle.com/rohanrao/riiid-with-blazing-fast-rid</a> you should be able to read the data from csv on a Kaggle Notebook (there are multiple notebooks reading it that way). You can also read it from the .jay file for faster reading speed.</p>\n<p>If you are trying it on your local machine, it depends on your machine specs.</p>",
      "rawMarkdown": "If you follow the steps as per the notebook: https://www.kaggle.com/rohanrao/riiid-with-blazing-fast-rid you should be able to read the data from csv on a Kaggle Notebook (there are multiple notebooks reading it that way). You can also read it from the .jay file for faster reading speed.\n\nIf you are trying it on your local machine, it depends on your machine specs.",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 1049232,
      "author_name": "rohanrao",
      "author_url": "",
      "post_date": "10/14/2020 08:23:28",
      "content": "<p>If you follow the steps as per the notebook: <a href=\"https://www.kaggle.com/rohanrao/riiid-with-blazing-fast-rid\" target=\"_blank\">https://www.kaggle.com/rohanrao/riiid-with-blazing-fast-rid</a> you should be able to read the data from csv on a Kaggle Notebook (there are multiple notebooks reading it that way). You can also read it from the .jay file for faster reading speed.</p>\n<p>If you are trying it on your local machine, it depends on your machine specs.</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "1049214": "I can't read train.csv using Datatable. It throw exception \"Unable to obtain size of data/train.csv: [errno 132] value too large\". What is the reason?",
    "1049232": "If you follow the steps as per the notebook: https://www.kaggle.com/rohanrao/riiid-with-blazing-fast-rid you should be able to read the data from csv on a Kaggle Notebook (there are multiple notebooks reading it that way). You can also read it from the .jay file for faster reading speed.\n\nIf you are trying it on your local machine, it depends on your machine specs."
  },
  "source": "meta"
}