{
  "id": 115903,
  "title": "181 GB is a lot of data",
  "url": "/competitions/rsna-intracranial-hemorrhage-detection/discussion/115903",
  "author_name": "Hilal Shaath",
  "post_date": "2019-11-06T02:37:27.920000",
  "votes": 1,
  "comment_count": 1,
  "views": 0,
  "content": "<p>Dear Kaggle:\n     Can you please you please individual files for this huge data set. 181 GB is a lot of tiles.  We might only want to download the test data, and run the inference to see if we should continue!. We can easily download the csv file.  But, would be helpful if you can split the test/train to 2 different zip files.</p>\n\n<p>Thank you for hosting this important competition!</p>\n\n<p>HIlal</p>",
  "messages": [
    {
      "id": 666340,
      "postDate": "2019-11-06T02:37:27.920Z",
      "content": "<p>Dear Kaggle:\n     Can you please you please individual files for this huge data set. 181 GB is a lot of tiles.  We might only want to download the test data, and run the inference to see if we should continue!. We can easily download the csv file.  But, would be helpful if you can split the test/train to 2 different zip files.</p>\n\n<p>Thank you for hosting this important competition!</p>\n\n<p>HIlal</p>",
      "rawMarkdown": "Dear Kaggle:\n     Can you please you please individual files for this huge data set. 181 GB is a lot of tiles.  We might only want to download the test data, and run the inference to see if we should continue!. We can easily download the csv file.  But, would be helpful if you can split the test/train to 2 different zip files.\n\nThank you for hosting this important competition!\n\nHIlal",
      "votes": 1
    },
    {
      "id": 666348,
      "postDate": "2019-11-06T02:44:25.470Z",
      "content": "<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F107125%2F3d58a40eb1ecef381c594331226b5dc8%2Fstage2.png?generation=1573008260872981&amp;alt=media\" alt=\"\"></p>",
      "rawMarkdown": "![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F107125%2F3d58a40eb1ecef381c594331226b5dc8%2Fstage2.png?generation=1573008260872981&amp;alt=media)\n"
    }
  ],
  "comments": [
    {
      "id": 666348,
      "author_name": "Hilal Shaath",
      "author_url": "",
      "post_date": "2019-11-06T02:44:25.470000",
      "content": "<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F107125%2F3d58a40eb1ecef381c594331226b5dc8%2Fstage2.png?generation=1573008260872981&amp;alt=media\" alt=\"\"></p>",
      "votes": 0,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "666340": "Dear Kaggle:\n     Can you please you please individual files for this huge data set. 181 GB is a lot of tiles.  We might only want to download the test data, and run the inference to see if we should continue!. We can easily download the csv file.  But, would be helpful if you can split the test/train to 2 different zip files.\n\nThank you for hosting this important competition!\n\nHIlal",
    "666348": "![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F107125%2F3d58a40eb1ecef381c594331226b5dc8%2Fstage2.png?generation=1573008260872981&amp;alt=media)\n"
  }
}