{
  "id": 161401,
  "title": "The right way of dealing with external data?",
  "url": "/competitions/siim-isic-melanoma-classification/discussion/161401",
  "author_name": "",
  "post_date": "2020-06-24T19:18:53.808014100Z",
  "votes": null,
  "comment_count": 3,
  "views": 0,
  "content": "<p>Hi everyone.\nSay, someone (like <a href=\"https://www.kaggle.com/nroman/melanoma-external-malignant-256?select=train\">https://www.kaggle.com/nroman/melanoma-external-malignant-256?select=train</a>) published external dataset. How do I use it from my notebook?\nFrom what i can tell, notebook forgets data between sessions. Does it mean I have to upload files every time before session? And how to submit such a notebook?\nSo maybe there is a way of linking, like we do when downloading MNIST dataset?</p>",
  "messages": [
    {
      "id": "900380",
      "postDate": "06/24/2020 19:18:53",
      "content": "<p>Hi everyone.\nSay, someone (like <a href=\"https://www.kaggle.com/nroman/melanoma-external-malignant-256?select=train\">https://www.kaggle.com/nroman/melanoma-external-malignant-256?select=train</a>) published external dataset. How do I use it from my notebook?\nFrom what i can tell, notebook forgets data between sessions. Does it mean I have to upload files every time before session? And how to submit such a notebook?\nSo maybe there is a way of linking, like we do when downloading MNIST dataset?</p>",
      "rawMarkdown": "Hi everyone.\nSay, someone (like https://www.kaggle.com/nroman/melanoma-external-malignant-256?select=train) published external dataset. How do I use it from my notebook?\nFrom what i can tell, notebook forgets data between sessions. Does it mean I have to upload files every time before session? And how to submit such a notebook?\nSo maybe there is a way of linking, like we do when downloading MNIST dataset?",
      "votes": null
    },
    {
      "id": "900452",
      "postDate": "06/24/2020 20:05:22",
      "content": "<p>In a Kaggle notebook, there is a button saying something like \"Add data\". Click on it and then you will be able to search for public datasets. Find the one you want and then add it to your kernel. After that you will be able to access the data in the data set in pretty much the same way how you access the competition data (figuring out the correct path names might be a bit of a challenge, so use the standard os.walk() routine that is included in every fresh kernel). </p>",
      "rawMarkdown": "In a Kaggle notebook, there is a button saying something like \"Add data\". Click on it and then you will be able to search for public datasets. Find the one you want and then add it to your kernel. After that you will be able to access the data in the data set in pretty much the same way how you access the competition data (figuring out the correct path names might be a bit of a challenge, so use the standard os.walk() routine that is included in every fresh kernel).",
      "votes": null
    },
    {
      "id": "900966",
      "postDate": "06/25/2020 07:11:09",
      "content": "<blockquote>\n  <p>In a Kaggle notebook, there is a button saying something like \"Add data\"\n  Thank you.\n  Then the question is, how (without searching the entire list that I get by clicking the button)  to get the link to, say, this (<a href=\"https://www.kaggle.com/kmader/skin-cancer-mnist-ham10000\">https://www.kaggle.com/kmader/skin-cancer-mnist-ham10000</a>). As I understand, there should be a direct link to data?</p>\n</blockquote>",
      "rawMarkdown": "&gt; In a Kaggle notebook, there is a button saying something like \"Add data\"\nThank you.\nThen the question is, how (without searching the entire list that I get by clicking the button)  to get the link to, say, this (https://www.kaggle.com/kmader/skin-cancer-mnist-ham10000). As I understand, there should be a direct link to data?",
      "votes": null
    },
    {
      "id": "900968",
      "postDate": "06/25/2020 07:16:20",
      "content": "<p>there's a 'Search by URL' button on the right in the model when you click add data. From there you can paste in your url</p>",
      "rawMarkdown": "there's a 'Search by URL' button on the right in the model when you click add data. From there you can paste in your url",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 900452,
      "author_name": "graf10a",
      "author_url": "",
      "post_date": "06/24/2020 20:05:22",
      "content": "<p>In a Kaggle notebook, there is a button saying something like \"Add data\". Click on it and then you will be able to search for public datasets. Find the one you want and then add it to your kernel. After that you will be able to access the data in the data set in pretty much the same way how you access the competition data (figuring out the correct path names might be a bit of a challenge, so use the standard os.walk() routine that is included in every fresh kernel). </p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 900966,
      "author_name": "fizpok",
      "author_url": "",
      "post_date": "06/25/2020 07:11:09",
      "content": "<blockquote>\n  <p>In a Kaggle notebook, there is a button saying something like \"Add data\"\n  Thank you.\n  Then the question is, how (without searching the entire list that I get by clicking the button)  to get the link to, say, this (<a href=\"https://www.kaggle.com/kmader/skin-cancer-mnist-ham10000\">https://www.kaggle.com/kmader/skin-cancer-mnist-ham10000</a>). As I understand, there should be a direct link to data?</p>\n</blockquote>",
      "votes": null,
      "replies": [
        {
          "id": 900968,
          "author_name": "hamishdickson",
          "author_url": "",
          "post_date": "06/25/2020 07:16:20",
          "content": "<p>there's a 'Search by URL' button on the right in the model when you click add data. From there you can paste in your url</p>",
          "votes": null,
          "replies": []
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "900380": "Hi everyone.\nSay, someone (like https://www.kaggle.com/nroman/melanoma-external-malignant-256?select=train) published external dataset. How do I use it from my notebook?\nFrom what i can tell, notebook forgets data between sessions. Does it mean I have to upload files every time before session? And how to submit such a notebook?\nSo maybe there is a way of linking, like we do when downloading MNIST dataset?",
    "900452": "In a Kaggle notebook, there is a button saying something like \"Add data\". Click on it and then you will be able to search for public datasets. Find the one you want and then add it to your kernel. After that you will be able to access the data in the data set in pretty much the same way how you access the competition data (figuring out the correct path names might be a bit of a challenge, so use the standard os.walk() routine that is included in every fresh kernel).",
    "900966": "&gt; In a Kaggle notebook, there is a button saying something like \"Add data\"\nThank you.\nThen the question is, how (without searching the entire list that I get by clicking the button)  to get the link to, say, this (https://www.kaggle.com/kmader/skin-cancer-mnist-ham10000). As I understand, there should be a direct link to data?",
    "900968": "there's a 'Search by URL' button on the right in the model when you click add data. From there you can paste in your url"
  },
  "source": "meta"
}