{
  "id": 89424,
  "title": "Can not add train dataset to kaggle kernels",
  "url": "/competitions/LANL-Earthquake-Prediction/discussion/89424",
  "author_name": "",
  "post_date": "2019-04-14T02:51:49.252931800Z",
  "votes": 1,
  "comment_count": 4,
  "views": 0,
  "content": "",
  "messages": [
    {
      "id": "516339",
      "postDate": "04/14/2019 02:51:49",
      "content": "",
      "rawMarkdown": "",
      "votes": null
    },
    {
      "id": "516405",
      "postDate": "04/14/2019 05:54:57",
      "content": "<p>I don’t quite understand your question. I guess it’s the memory problem. I think you need to specify the <em>dtype</em> of the column “time_to_failure” as np.float32. Otherwise you may read the csv file by chunks.</p>",
      "rawMarkdown": "I don’t quite understand your question. I guess it’s the memory problem. I think you need to specify the *dtype* of the column “time_to_failure” as np.float32. Otherwise you may read the csv file by chunks.",
      "votes": null
    },
    {
      "id": "516516",
      "postDate": "04/14/2019 10:52:06",
      "content": "<p>Thanks for your recommendations. I mean when I run a notebook in kaggle kernel,it can not add train.csv in my workspace. But other files can do so.  I guess there are something wrong with the train.csv or the kernel.</p>",
      "rawMarkdown": "Thanks for your recommendations. I mean when I run a notebook in kaggle kernel,it can not add train.csv in my workspace. But other files can do so.  I guess there are something wrong with the train.csv or the kernel.",
      "votes": null
    },
    {
      "id": "516615",
      "postDate": "04/14/2019 14:57:20",
      "content": "<p>I would advise being more specific about the nature of your problem, and if it's an issue with the site then take a screenshot and post it in the product feedback section of the discussion forum so the Kaggle staff will see it.</p>",
      "rawMarkdown": "I would advise being more specific about the nature of your problem, and if it's an issue with the site then take a screenshot and post it in the product feedback section of the discussion forum so the Kaggle staff will see it.",
      "votes": null
    },
    {
      "id": "516825",
      "postDate": "04/15/2019 03:34:10",
      "content": "<p>Get it. Thanks very much.</p>",
      "rawMarkdown": "Get it. Thanks very much.",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 516405,
      "author_name": "qianzhao95",
      "author_url": "",
      "post_date": "04/14/2019 05:54:57",
      "content": "<p>I don’t quite understand your question. I guess it’s the memory problem. I think you need to specify the <em>dtype</em> of the column “time_to_failure” as np.float32. Otherwise you may read the csv file by chunks.</p>",
      "votes": null,
      "replies": [
        {
          "id": 516516,
          "author_name": "xiao228273674",
          "author_url": "",
          "post_date": "04/14/2019 10:52:06",
          "content": "<p>Thanks for your recommendations. I mean when I run a notebook in kaggle kernel,it can not add train.csv in my workspace. But other files can do so.  I guess there are something wrong with the train.csv or the kernel.</p>",
          "votes": null,
          "replies": []
        }
      ]
    },
    {
      "id": 516615,
      "author_name": "bigironsphere",
      "author_url": "",
      "post_date": "04/14/2019 14:57:20",
      "content": "<p>I would advise being more specific about the nature of your problem, and if it's an issue with the site then take a screenshot and post it in the product feedback section of the discussion forum so the Kaggle staff will see it.</p>",
      "votes": null,
      "replies": [
        {
          "id": 516825,
          "author_name": "xiao228273674",
          "author_url": "",
          "post_date": "04/15/2019 03:34:10",
          "content": "<p>Get it. Thanks very much.</p>",
          "votes": null,
          "replies": []
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "516339": "",
    "516405": "I don’t quite understand your question. I guess it’s the memory problem. I think you need to specify the *dtype* of the column “time_to_failure” as np.float32. Otherwise you may read the csv file by chunks.",
    "516516": "Thanks for your recommendations. I mean when I run a notebook in kaggle kernel,it can not add train.csv in my workspace. But other files can do so.  I guess there are something wrong with the train.csv or the kernel.",
    "516615": "I would advise being more specific about the nature of your problem, and if it's an issue with the site then take a screenshot and post it in the product feedback section of the discussion forum so the Kaggle staff will see it.",
    "516825": "Get it. Thanks very much."
  },
  "source": "meta"
}