{
  "id": 125752,
  "title": "How to get stage 1 data",
  "url": "/competitions/rsna-intracranial-hemorrhage-detection/discussion/125752",
  "author_name": "Utkarsh Chandra Srivastava",
  "post_date": "2020-01-13T11:04:14.628000",
  "votes": 5,
  "comment_count": 2,
  "views": 0,
  "content": "<p>Where can I find the stage 1 dataset of this competition</p>",
  "messages": [
    {
      "id": 717611,
      "postDate": "2020-01-13T11:04:14.627Z",
      "content": "<p>Where can I find the stage 1 dataset of this competition</p>",
      "rawMarkdown": "Where can I find the stage 1 dataset of this competition",
      "votes": 5
    },
    {
      "id": 717848,
      "postDate": "2020-01-13T17:31:28.120Z",
      "content": "<p>If you want the original dicom data then the stage_2_train dataset consists of data from stage_1_train and stage_1_test. So you can download that and then use stage_1_train.csv and stage_1_sample_submission.csv from for example <a href=\"https://www.kaggle.com/guiferviz/rsna_stage1_png_128\">this dataset</a> to identify which was in train set and which was in test.</p>\n\n<p>Otherwise you can just search the user datasets where you can find some smaller (256x256 or 128x128) png dataset.</p>",
      "rawMarkdown": "If you want the original dicom data then the stage\\_2\\_train dataset consists of data from stage\\_1\\_train and stage\\_1\\_test. So you can download that and then use stage\\_1\\_train.csv and stage\\_1\\_sample_submission.csv from for example [this dataset](https://www.kaggle.com/guiferviz/rsna_stage1_png_128) to identify which was in train set and which was in test.\n\nOtherwise you can just search the user datasets where you can find some smaller (256x256 or 128x128) png dataset.",
      "votes": 2,
      "replies": [
        {
          "id": 717904,
          "postDate": "2020-01-13T18:59:10.513Z",
          "content": "<p>Thank you ! </p>",
          "rawMarkdown": "Thank you ! "
        }
      ]
    }
  ],
  "comments": [
    {
      "id": 717848,
      "author_name": "Michal",
      "author_url": "",
      "post_date": "2020-01-13T17:31:28.120000",
      "content": "<p>If you want the original dicom data then the stage_2_train dataset consists of data from stage_1_train and stage_1_test. So you can download that and then use stage_1_train.csv and stage_1_sample_submission.csv from for example <a href=\"https://www.kaggle.com/guiferviz/rsna_stage1_png_128\">this dataset</a> to identify which was in train set and which was in test.</p>\n\n<p>Otherwise you can just search the user datasets where you can find some smaller (256x256 or 128x128) png dataset.</p>",
      "votes": 2,
      "replies": [
        {
          "id": 717904,
          "author_name": "Utkarsh Chandra Srivastava",
          "author_url": "",
          "post_date": "2020-01-13T18:59:10.513000",
          "content": "<p>Thank you ! </p>",
          "votes": 0,
          "replies": []
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "717611": "Where can I find the stage 1 dataset of this competition",
    "717848": "If you want the original dicom data then the stage\\_2\\_train dataset consists of data from stage\\_1\\_train and stage\\_1\\_test. So you can download that and then use stage\\_1\\_train.csv and stage\\_1\\_sample_submission.csv from for example [this dataset](https://www.kaggle.com/guiferviz/rsna_stage1_png_128) to identify which was in train set and which was in test.\n\nOtherwise you can just search the user datasets where you can find some smaller (256x256 or 128x128) png dataset."
  }
}