{
  "id": 186652,
  "title": "How can I downlaod this large Datasets?",
  "url": "/competitions/rsna-str-pulmonary-embolism-detection/discussion/186652",
  "author_name": "Shubham",
  "post_date": "2020-09-25T11:45:45.419000",
  "votes": 4,
  "comment_count": 7,
  "views": 0,
  "content": "<p>Hello, these data are much larger. Is there any other option for download like compress form or how to use kaggle API for data.</p>",
  "messages": [
    {
      "id": 1027732,
      "postDate": "2020-09-26T10:15:03.403Z",
      "content": "<p>Use Kaggle Api version 1.5.6 to download .zip archive from kaggle. <br>\nIt will help solving your problem and download a zipped archive from Kaggle.<br>\n!pip install kaggle==1.5.6, <br>\nthen use the following command:<br>\n!kaggle competitions download -c rsna-str-pulmonary-embolism-detection -p 'your directory path'<br>\nThis will download .zip archive to 'your directory path'</p>",
      "rawMarkdown": "Use Kaggle Api version 1.5.6 to download .zip archive from kaggle. \nIt will help solving your problem and download a zipped archive from Kaggle.\n!pip install kaggle==1.5.6, \nthen use the following command:\n!kaggle competitions download -c rsna-str-pulmonary-embolism-detection -p 'your directory path'\nThis will download .zip archive to 'your directory path'",
      "votes": 4
    },
    {
      "id": 1026533,
      "postDate": "2020-09-25T11:45:45.420Z",
      "content": "<p>Hello, these data are much larger. Is there any other option for download like compress form or how to use kaggle API for data.</p>",
      "rawMarkdown": "Hello, these data are much larger. Is there any other option for download like compress form or how to use kaggle API for data.\n",
      "votes": 4
    },
    {
      "id": 1033931,
      "postDate": "2020-10-01T11:23:20.043Z",
      "content": "<p>Is there any way to download part of this dataset? Downloading data using images throws \"too many requests\" error.</p>",
      "rawMarkdown": "Is there any way to download part of this dataset? Downloading data using images throws \"too many requests\" error.",
      "votes": 1,
      "replies": [
        {
          "id": 1034020,
          "postDate": "2020-10-01T12:35:46.673Z",
          "content": "<p>My answer above helps solving this problem. Cause your API downloads every picture frame by frame. But you can download a whole .zip file.</p>",
          "rawMarkdown": "My answer above helps solving this problem. Cause your API downloads every picture frame by frame. But you can download a whole .zip file.",
          "votes": 3
        },
        {
          "id": 1034958,
          "postDate": "2020-10-02T10:25:43.427Z",
          "content": "<p><a href=\"https://www.kaggle.com/vishwa34\" target=\"_blank\">@vishwa34</a> Sure you can follow the <a href=\"https://www.kaggle.com/dzisandy\" target=\"_blank\">@dzisandy</a>  steps. Definitely get the data without error. It work me. </p>",
          "rawMarkdown": "@vishwa34 Sure you can follow the @dzisandy  steps. Definitely get the data without error. It work me. "
        }
      ]
    },
    {
      "id": 1029596,
      "postDate": "2020-09-27T22:43:41.933Z",
      "content": "<p>Use Kaggle API, it will download the dataset in compressed zip form. I don't remember exactly but the compressed form size is around 450 GB. And you will need at least 1.6 TB disk space in order to extract all data.</p>",
      "rawMarkdown": "Use Kaggle API, it will download the dataset in compressed zip form. I don't remember exactly but the compressed form size is around 450 GB. And you will need at least 1.6 TB disk space in order to extract all data.",
      "votes": 2,
      "replies": [
        {
          "id": 1032285,
          "postDate": "2020-09-30T05:23:42.133Z",
          "content": "<p><a href=\"https://www.kaggle.com/sudhiriitb\" target=\"_blank\">@sudhiriitb</a> Thank you for valuable information. </p>",
          "rawMarkdown": "@sudhiriitb Thank you for valuable information. ",
          "votes": 1
        }
      ]
    },
    {
      "id": 1032287,
      "postDate": "2020-09-30T05:24:43.193Z",
      "content": "<p><a href=\"https://www.kaggle.com/dzisandy\" target=\"_blank\">@dzisandy</a> Thank You for help. This command line usefull. </p>",
      "rawMarkdown": "@dzisandy Thank You for help. This command line usefull. "
    }
  ],
  "comments": [
    {
      "id": 1027732,
      "author_name": "Andrei Dzis",
      "author_url": "",
      "post_date": "2020-09-26T10:15:03.403000",
      "content": "<p>Use Kaggle Api version 1.5.6 to download .zip archive from kaggle. <br>\nIt will help solving your problem and download a zipped archive from Kaggle.<br>\n!pip install kaggle==1.5.6, <br>\nthen use the following command:<br>\n!kaggle competitions download -c rsna-str-pulmonary-embolism-detection -p 'your directory path'<br>\nThis will download .zip archive to 'your directory path'</p>",
      "votes": 4,
      "replies": []
    },
    {
      "id": 1033931,
      "author_name": "Vishwa34",
      "author_url": "",
      "post_date": "2020-10-01T11:23:20.043000",
      "content": "<p>Is there any way to download part of this dataset? Downloading data using images throws \"too many requests\" error.</p>",
      "votes": 1,
      "replies": [
        {
          "id": 1034020,
          "author_name": "Andrei Dzis",
          "author_url": "",
          "post_date": "2020-10-01T12:35:46.673000",
          "content": "<p>My answer above helps solving this problem. Cause your API downloads every picture frame by frame. But you can download a whole .zip file.</p>",
          "votes": 3,
          "replies": []
        },
        {
          "id": 1034958,
          "author_name": "Shubham",
          "author_url": "",
          "post_date": "2020-10-02T10:25:43.427000",
          "content": "<p><a href=\"https://www.kaggle.com/vishwa34\" target=\"_blank\">@vishwa34</a> Sure you can follow the <a href=\"https://www.kaggle.com/dzisandy\" target=\"_blank\">@dzisandy</a>  steps. Definitely get the data without error. It work me. </p>",
          "votes": 0,
          "replies": []
        }
      ]
    },
    {
      "id": 1029596,
      "author_name": "SumanSudhir",
      "author_url": "",
      "post_date": "2020-09-27T22:43:41.933000",
      "content": "<p>Use Kaggle API, it will download the dataset in compressed zip form. I don't remember exactly but the compressed form size is around 450 GB. And you will need at least 1.6 TB disk space in order to extract all data.</p>",
      "votes": 2,
      "replies": [
        {
          "id": 1032285,
          "author_name": "Shubham",
          "author_url": "",
          "post_date": "2020-09-30T05:23:42.133000",
          "content": "<p><a href=\"https://www.kaggle.com/sudhiriitb\" target=\"_blank\">@sudhiriitb</a> Thank you for valuable information. </p>",
          "votes": 1,
          "replies": []
        }
      ]
    },
    {
      "id": 1032287,
      "author_name": "Shubham",
      "author_url": "",
      "post_date": "2020-09-30T05:24:43.193000",
      "content": "<p><a href=\"https://www.kaggle.com/dzisandy\" target=\"_blank\">@dzisandy</a> Thank You for help. This command line usefull. </p>",
      "votes": 0,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "1027732": "Use Kaggle Api version 1.5.6 to download .zip archive from kaggle. \nIt will help solving your problem and download a zipped archive from Kaggle.\n!pip install kaggle==1.5.6, \nthen use the following command:\n!kaggle competitions download -c rsna-str-pulmonary-embolism-detection -p 'your directory path'\nThis will download .zip archive to 'your directory path'",
    "1026533": "Hello, these data are much larger. Is there any other option for download like compress form or how to use kaggle API for data.\n",
    "1033931": "Is there any way to download part of this dataset? Downloading data using images throws \"too many requests\" error.",
    "1029596": "Use Kaggle API, it will download the dataset in compressed zip form. I don't remember exactly but the compressed form size is around 450 GB. And you will need at least 1.6 TB disk space in order to extract all data.",
    "1032287": "@dzisandy Thank You for help. This command line usefull. "
  }
}