{
  "id": 192263,
  "title": "Datasets for colab users",
  "url": "/competitions/rsna-str-pulmonary-embolism-detection/discussion/192263",
  "author_name": "Gopi Durgaprasad",
  "post_date": "2020-10-20T19:06:05.276000",
  "votes": 11,
  "comment_count": 4,
  "views": 0,
  "content": "<p>for colab users, i splited <a href=\"https://www.kaggle.com/vaillant/rsna-str-pe-detection-jpeg-256\" target=\"_blank\">RSNA-STR PE Detection Train JPEGs (256x256)</a> this dataset into 4-parts</p>\n<ul>\n<li><a href=\"https://www.kaggle.com/gopidurgaprasad/rsna-str-fold0-jpeg-256\" target=\"_blank\">fold0</a></li>\n<li><a href=\"https://www.kaggle.com/gopidurgaprasad/rsna-str-fold1-jpeg-256\" target=\"_blank\">fold1</a></li>\n<li><a href=\"https://www.kaggle.com/gopidurgaprasad/rsna-str-fold2-jpeg-256\" target=\"_blank\">fold2</a></li>\n<li><a href=\"https://www.kaggle.com/gopidurgaprasad/rsna-str-fold3-jpeg-256\" target=\"_blank\">fold3</a></li>\n</ul>\n<p>dataset uploaded notebook: <a href=\"https://www.kaggle.com/gopidurgaprasad/rsna-create-dataset-0\" target=\"_blank\">link</a></p>",
  "messages": [
    {
      "id": 1055425,
      "postDate": "2020-10-20T19:06:05.277Z",
      "content": "<p>for colab users, i splited <a href=\"https://www.kaggle.com/vaillant/rsna-str-pe-detection-jpeg-256\" target=\"_blank\">RSNA-STR PE Detection Train JPEGs (256x256)</a> this dataset into 4-parts</p>\n<ul>\n<li><a href=\"https://www.kaggle.com/gopidurgaprasad/rsna-str-fold0-jpeg-256\" target=\"_blank\">fold0</a></li>\n<li><a href=\"https://www.kaggle.com/gopidurgaprasad/rsna-str-fold1-jpeg-256\" target=\"_blank\">fold1</a></li>\n<li><a href=\"https://www.kaggle.com/gopidurgaprasad/rsna-str-fold2-jpeg-256\" target=\"_blank\">fold2</a></li>\n<li><a href=\"https://www.kaggle.com/gopidurgaprasad/rsna-str-fold3-jpeg-256\" target=\"_blank\">fold3</a></li>\n</ul>\n<p>dataset uploaded notebook: <a href=\"https://www.kaggle.com/gopidurgaprasad/rsna-create-dataset-0\" target=\"_blank\">link</a></p>",
      "rawMarkdown": "for colab users, i splited [RSNA-STR PE Detection Train JPEGs (256x256)](https://www.kaggle.com/vaillant/rsna-str-pe-detection-jpeg-256) this dataset into 4-parts\n\n- [fold0](https://www.kaggle.com/gopidurgaprasad/rsna-str-fold0-jpeg-256)\n- [fold1](https://www.kaggle.com/gopidurgaprasad/rsna-str-fold1-jpeg-256)\n- [fold2](https://www.kaggle.com/gopidurgaprasad/rsna-str-fold2-jpeg-256)\n- [fold3](https://www.kaggle.com/gopidurgaprasad/rsna-str-fold3-jpeg-256)\n\ndataset uploaded notebook: [link](https://www.kaggle.com/gopidurgaprasad/rsna-create-dataset-0)\n\n\n",
      "votes": 11
    },
    {
      "id": 1058133,
      "postDate": "2020-10-23T11:33:30.137Z",
      "content": "<p></p>\n<p>nvm, this was probably created because you can't extract the entire dataset in colab. Which I now understand since I had that problem.<br>\nHere is some code I wrote to import the dataset to colab:</p>\n<pre><code>from requests import get\ndef download(url, location):\n    if not os.path.exists(location):\n        os.mknod(location)\n    with open(location, \"wb+\") as f:\n        with get(url, stream=True) as req:\n            for i, chunk in enumerate(req.iter_content(chunk_size=100*1024*1024)):\n                print(f\"{int(i*100*100/(13*1024))}% done!\")\n                f.write(chunk)\n\n%mkdir /Data\n# fold 0\nstart = time.time()\ndownload(\"https://storage.googleapis.com/kaggle-data-sets/918902/1556522/bundle/archive.zip?X-Goog-Algorithm=GOOG4-RSA-SHA256&amp;X-Goog-Credential=gcp-kaggle-com%40kaggle-161607.iam.gserviceaccount.com%2F20201023%2Fauto%2Fstorage%2Fgoog4_request&amp;X-Goog-Date=20201023T144124Z&amp;X-Goog-Expires=259199&amp;X-Goog-SignedHeaders=host&amp;X-Goog-Signature=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\", \"/Data/rsna-train-jpeg-fold0.zip\")\n!unzip -q /Data/rsna-train-jpeg-fold0.zip -d /Data/\n%rm /Data/rsna-train-jpeg-fold0.zip\nprint(f\"done in {int((time.time()-start)/60)}min\")\n# fold 1\nstart = time.time()\ndownload(\"https://storage.googleapis.com/kaggle-data-sets/918949/1556606/bundle/archive.zip?X-Goog-Algorithm=GOOG4-RSA-SHA256&amp;X-Goog-Credential=gcp-kaggle-com%40kaggle-161607.iam.gserviceaccount.com%2F20201023%2Fauto%2Fstorage%2Fgoog4_request&amp;X-Goog-Date=20201023T144242Z&amp;X-Goog-Expires=259199&amp;X-Goog-SignedHeaders=host&amp;X-Goog-Signature=6dac39409fe61a352d51fa94d4c35cb9d2a5cd49ac3edea8caeca3dad2cb16b669ad2b44460a79b264f068f15c26db41f706e47a863ac5bef3451d69a4a56b6920d2690f43e0b6e52dbfd4f69daec3b4deb0f883ee518efe97def85a8ef475e0263ed5e225d54a12d54e382acf3f333e2b8e0d3f159baf56c8ad33025843736d5d91e01e8d2648bfed2105d7c64714053bd3e1bce2aa55b92afcea886e22fbaa0a16c1cd9e8f44e47882c34610050d614ab81ac7a15c921bc8cbf18e81d556f36bf1a94d3caf3c215108693a1a78d576bd62e56386d7d046db38c3bf32c27590f6a5f9745568c6a47115115d2b23efd1698ca0ddfa9ea510a62a149e9f565092\", \"/Data/rsna-train-jpeg-fold1.zip\")\n!unzip -q /Data/rsna-train-jpeg-fold1.zip -d /Data/\n%rm /Data/rsna-train-jpeg-fold1.zip\nprint(f\"done in {int((time.time()-start)/60)}min\")\n# fold 2\nstart = time.time()\ndownload(\"https://storage.googleapis.com/kaggle-data-sets/919004/1556691/bundle/archive.zip?X-Goog-Algorithm=GOOG4-RSA-SHA256&amp;X-Goog-Credential=gcp-kaggle-com%40kaggle-161607.iam.gserviceaccount.com%2F20201023%2Fauto%2Fstorage%2Fgoog4_request&amp;X-Goog-Date=20201023T144402Z&amp;X-Goog-Expires=259199&amp;X-Goog-SignedHeaders=host&amp;X-Goog-Signature=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\", \"/Data/rsna-train-jpeg-fold2.zip\")\n!unzip -q /Data/rsna-train-jpeg-fold2.zip -d /Data/\n%rm /Data/rsna-train-jpeg-fold2.zip\nprint(f\"done in {int((time.time()-start)/60)}min\")\n# fold 3\nstart = time.time()\ndownload(\"https://storage.googleapis.com/kaggle-data-sets/919054/1556767/bundle/archive.zip?X-Goog-Algorithm=GOOG4-RSA-SHA256&amp;X-Goog-Credential=gcp-kaggle-com%40kaggle-161607.iam.gserviceaccount.com%2F20201023%2Fauto%2Fstorage%2Fgoog4_request&amp;X-Goog-Date=20201023T144452Z&amp;X-Goog-Expires=259199&amp;X-Goog-SignedHeaders=host&amp;X-Goog-Signature=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\", \"/Data/rsna-train-jpeg-fold3.zip\")\n!unzip -q /Data/rsna-train-jpeg-fold3.zip -d /Data/\n%rm /Data/rsna-train-jpeg-fold3.zip\nprint(f\"done in {int((time.time()-start)/60)}min\")\n</code></pre>",
      "rawMarkdown": "~~how do you import it to colab tho?~~\n\nnvm, this was probably created because you can't extract the entire dataset in colab. Which I now understand since I had that problem.\nHere is some code I wrote to import the dataset to colab:\n``` python\nfrom requests import get\ndef download(url, location):\n    if not os.path.exists(location):\n        os.mknod(location)\n    with open(location, \"wb+\") as f:\n        with get(url, stream=True) as req:\n            for i, chunk in enumerate(req.iter_content(chunk_size=100*1024*1024)):\n                print(f\"{int(i*100*100/(13*1024))}% done!\")\n                f.write(chunk)\n\n%mkdir /Data\n# fold 0\nstart = time.time()\ndownload(\"https://storage.googleapis.com/kaggle-data-sets/918902/1556522/bundle/archive.zip?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=gcp-kaggle-com%40kaggle-161607.iam.gserviceaccount.com%2F20201023%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20201023T144124Z&X-Goog-Expires=259199&X-Goog-SignedHeaders=host&X-Goog-Signature=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\", \"/Data/rsna-train-jpeg-fold0.zip\")\n!unzip -q /Data/rsna-train-jpeg-fold0.zip -d /Data/\n%rm /Data/rsna-train-jpeg-fold0.zip\nprint(f\"done in {int((time.time()-start)/60)}min\")\n# fold 1\nstart = time.time()\ndownload(\"https://storage.googleapis.com/kaggle-data-sets/918949/1556606/bundle/archive.zip?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=gcp-kaggle-com%40kaggle-161607.iam.gserviceaccount.com%2F20201023%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20201023T144242Z&X-Goog-Expires=259199&X-Goog-SignedHeaders=host&X-Goog-Signature=6dac39409fe61a352d51fa94d4c35cb9d2a5cd49ac3edea8caeca3dad2cb16b669ad2b44460a79b264f068f15c26db41f706e47a863ac5bef3451d69a4a56b6920d2690f43e0b6e52dbfd4f69daec3b4deb0f883ee518efe97def85a8ef475e0263ed5e225d54a12d54e382acf3f333e2b8e0d3f159baf56c8ad33025843736d5d91e01e8d2648bfed2105d7c64714053bd3e1bce2aa55b92afcea886e22fbaa0a16c1cd9e8f44e47882c34610050d614ab81ac7a15c921bc8cbf18e81d556f36bf1a94d3caf3c215108693a1a78d576bd62e56386d7d046db38c3bf32c27590f6a5f9745568c6a47115115d2b23efd1698ca0ddfa9ea510a62a149e9f565092\", \"/Data/rsna-train-jpeg-fold1.zip\")\n!unzip -q /Data/rsna-train-jpeg-fold1.zip -d /Data/\n%rm /Data/rsna-train-jpeg-fold1.zip\nprint(f\"done in {int((time.time()-start)/60)}min\")\n# fold 2\nstart = time.time()\ndownload(\"https://storage.googleapis.com/kaggle-data-sets/919004/1556691/bundle/archive.zip?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=gcp-kaggle-com%40kaggle-161607.iam.gserviceaccount.com%2F20201023%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20201023T144402Z&X-Goog-Expires=259199&X-Goog-SignedHeaders=host&X-Goog-Signature=606e4a775e683a5b7875a6ed876260f41252a8abecd3cb5a0eecd3d2479e0282e1b183efb702fbc8ad3ccf8f2e51a3a85a76f3e96894eea8c1ba004fe1332d2710b506b7be45ba8d40b03ee5f304d38a02ebec7c6820b3038c50723c3edc7771a6c15223c1945963efba3d6d0eb33c7953ab786dada646ecdb7b6bd965b77953f0e21298a6af3fce4a7faca00f1d32e951764e37d203788f125878fa46faec68d4d0da0ea7882d0429a50e75f580c22a2a7fabcddfa68889c1dca4fecc95905be5fb443428bf67d118deb9cf404ea79fe7aaccf1d423b0a0554d20330c480deae19236be490b4f661f011bb91da47faae1700c8df7502397318b1f3ed3cd30b7\", \"/Data/rsna-train-jpeg-fold2.zip\")\n!unzip -q /Data/rsna-train-jpeg-fold2.zip -d /Data/\n%rm /Data/rsna-train-jpeg-fold2.zip\nprint(f\"done in {int((time.time()-start)/60)}min\")\n# fold 3\nstart = time.time()\ndownload(\"https://storage.googleapis.com/kaggle-data-sets/919054/1556767/bundle/archive.zip?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=gcp-kaggle-com%40kaggle-161607.iam.gserviceaccount.com%2F20201023%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20201023T144452Z&X-Goog-Expires=259199&X-Goog-SignedHeaders=host&X-Goog-Signature=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\", \"/Data/rsna-train-jpeg-fold3.zip\")\n!unzip -q /Data/rsna-train-jpeg-fold3.zip -d /Data/\n%rm /Data/rsna-train-jpeg-fold3.zip\nprint(f\"done in {int((time.time()-start)/60)}min\")\n```"
    },
    {
      "id": 1058382,
      "postDate": "2020-10-23T16:29:01.593Z",
      "rawMarkdown": "",
      "isDeleted": true
    },
    {
      "id": 1057701,
      "postDate": "2020-10-22T22:21:26.077Z",
      "content": "<p>Thank you for sharing!!</p>",
      "rawMarkdown": "Thank you for sharing!!",
      "votes": 1
    },
    {
      "id": 1055444,
      "postDate": "2020-10-20T19:53:41.937Z",
      "content": "<p>Thank you for sharing, nice kernel</p>",
      "rawMarkdown": "Thank you for sharing, nice kernel",
      "votes": 1
    }
  ],
  "comments": [
    {
      "id": 1058133,
      "author_name": "DarkCube",
      "author_url": "",
      "post_date": "2020-10-23T11:33:30.137000",
      "content": "<p></p>\n<p>nvm, this was probably created because you can't extract the entire dataset in colab. Which I now understand since I had that problem.<br>\nHere is some code I wrote to import the dataset to colab:</p>\n<pre><code>from requests import get\ndef download(url, location):\n    if not os.path.exists(location):\n        os.mknod(location)\n    with open(location, \"wb+\") as f:\n        with get(url, stream=True) as req:\n            for i, chunk in enumerate(req.iter_content(chunk_size=100*1024*1024)):\n                print(f\"{int(i*100*100/(13*1024))}% done!\")\n                f.write(chunk)\n\n%mkdir /Data\n# fold 0\nstart = time.time()\ndownload(\"https://storage.googleapis.com/kaggle-data-sets/918902/1556522/bundle/archive.zip?X-Goog-Algorithm=GOOG4-RSA-SHA256&amp;X-Goog-Credential=gcp-kaggle-com%40kaggle-161607.iam.gserviceaccount.com%2F20201023%2Fauto%2Fstorage%2Fgoog4_request&amp;X-Goog-Date=20201023T144124Z&amp;X-Goog-Expires=259199&amp;X-Goog-SignedHeaders=host&amp;X-Goog-Signature=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\", \"/Data/rsna-train-jpeg-fold0.zip\")\n!unzip -q /Data/rsna-train-jpeg-fold0.zip -d /Data/\n%rm /Data/rsna-train-jpeg-fold0.zip\nprint(f\"done in {int((time.time()-start)/60)}min\")\n# fold 1\nstart = time.time()\ndownload(\"https://storage.googleapis.com/kaggle-data-sets/918949/1556606/bundle/archive.zip?X-Goog-Algorithm=GOOG4-RSA-SHA256&amp;X-Goog-Credential=gcp-kaggle-com%40kaggle-161607.iam.gserviceaccount.com%2F20201023%2Fauto%2Fstorage%2Fgoog4_request&amp;X-Goog-Date=20201023T144242Z&amp;X-Goog-Expires=259199&amp;X-Goog-SignedHeaders=host&amp;X-Goog-Signature=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\", \"/Data/rsna-train-jpeg-fold1.zip\")\n!unzip -q /Data/rsna-train-jpeg-fold1.zip -d /Data/\n%rm /Data/rsna-train-jpeg-fold1.zip\nprint(f\"done in {int((time.time()-start)/60)}min\")\n# fold 2\nstart = time.time()\ndownload(\"https://storage.googleapis.com/kaggle-data-sets/919004/1556691/bundle/archive.zip?X-Goog-Algorithm=GOOG4-RSA-SHA256&amp;X-Goog-Credential=gcp-kaggle-com%40kaggle-161607.iam.gserviceaccount.com%2F20201023%2Fauto%2Fstorage%2Fgoog4_request&amp;X-Goog-Date=20201023T144402Z&amp;X-Goog-Expires=259199&amp;X-Goog-SignedHeaders=host&amp;X-Goog-Signature=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\", \"/Data/rsna-train-jpeg-fold2.zip\")\n!unzip -q /Data/rsna-train-jpeg-fold2.zip -d /Data/\n%rm /Data/rsna-train-jpeg-fold2.zip\nprint(f\"done in {int((time.time()-start)/60)}min\")\n# fold 3\nstart = time.time()\ndownload(\"https://storage.googleapis.com/kaggle-data-sets/919054/1556767/bundle/archive.zip?X-Goog-Algorithm=GOOG4-RSA-SHA256&amp;X-Goog-Credential=gcp-kaggle-com%40kaggle-161607.iam.gserviceaccount.com%2F20201023%2Fauto%2Fstorage%2Fgoog4_request&amp;X-Goog-Date=20201023T144452Z&amp;X-Goog-Expires=259199&amp;X-Goog-SignedHeaders=host&amp;X-Goog-Signature=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\", \"/Data/rsna-train-jpeg-fold3.zip\")\n!unzip -q /Data/rsna-train-jpeg-fold3.zip -d /Data/\n%rm /Data/rsna-train-jpeg-fold3.zip\nprint(f\"done in {int((time.time()-start)/60)}min\")\n</code></pre>",
      "votes": 0,
      "replies": []
    },
    {
      "id": 1058382,
      "author_name": "",
      "author_url": "",
      "post_date": "2020-10-23T16:29:01.593000",
      "content": "",
      "votes": 0,
      "replies": []
    },
    {
      "id": 1057701,
      "author_name": "Ahmed Hamada",
      "author_url": "",
      "post_date": "2020-10-22T22:21:26.077000",
      "content": "<p>Thank you for sharing!!</p>",
      "votes": 1,
      "replies": []
    },
    {
      "id": 1055444,
      "author_name": "",
      "author_url": "",
      "post_date": "2020-10-20T19:53:41.937000",
      "content": "<p>Thank you for sharing, nice kernel</p>",
      "votes": 1,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "1055425": "for colab users, i splited [RSNA-STR PE Detection Train JPEGs (256x256)](https://www.kaggle.com/vaillant/rsna-str-pe-detection-jpeg-256) this dataset into 4-parts\n\n- [fold0](https://www.kaggle.com/gopidurgaprasad/rsna-str-fold0-jpeg-256)\n- [fold1](https://www.kaggle.com/gopidurgaprasad/rsna-str-fold1-jpeg-256)\n- [fold2](https://www.kaggle.com/gopidurgaprasad/rsna-str-fold2-jpeg-256)\n- [fold3](https://www.kaggle.com/gopidurgaprasad/rsna-str-fold3-jpeg-256)\n\ndataset uploaded notebook: [link](https://www.kaggle.com/gopidurgaprasad/rsna-create-dataset-0)\n\n\n",
    "1058133": "~~how do you import it to colab tho?~~\n\nnvm, this was probably created because you can't extract the entire dataset in colab. Which I now understand since I had that problem.\nHere is some code I wrote to import the dataset to colab:\n``` python\nfrom requests import get\ndef download(url, location):\n    if not os.path.exists(location):\n        os.mknod(location)\n    with open(location, \"wb+\") as f:\n        with get(url, stream=True) as req:\n            for i, chunk in enumerate(req.iter_content(chunk_size=100*1024*1024)):\n                print(f\"{int(i*100*100/(13*1024))}% done!\")\n                f.write(chunk)\n\n%mkdir /Data\n# fold 0\nstart = time.time()\ndownload(\"https://storage.googleapis.com/kaggle-data-sets/918902/1556522/bundle/archive.zip?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=gcp-kaggle-com%40kaggle-161607.iam.gserviceaccount.com%2F20201023%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20201023T144124Z&X-Goog-Expires=259199&X-Goog-SignedHeaders=host&X-Goog-Signature=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\", \"/Data/rsna-train-jpeg-fold0.zip\")\n!unzip -q /Data/rsna-train-jpeg-fold0.zip -d /Data/\n%rm /Data/rsna-train-jpeg-fold0.zip\nprint(f\"done in {int((time.time()-start)/60)}min\")\n# fold 1\nstart = time.time()\ndownload(\"https://storage.googleapis.com/kaggle-data-sets/918949/1556606/bundle/archive.zip?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=gcp-kaggle-com%40kaggle-161607.iam.gserviceaccount.com%2F20201023%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20201023T144242Z&X-Goog-Expires=259199&X-Goog-SignedHeaders=host&X-Goog-Signature=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\", \"/Data/rsna-train-jpeg-fold1.zip\")\n!unzip -q /Data/rsna-train-jpeg-fold1.zip -d /Data/\n%rm /Data/rsna-train-jpeg-fold1.zip\nprint(f\"done in {int((time.time()-start)/60)}min\")\n# fold 2\nstart = time.time()\ndownload(\"https://storage.googleapis.com/kaggle-data-sets/919004/1556691/bundle/archive.zip?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=gcp-kaggle-com%40kaggle-161607.iam.gserviceaccount.com%2F20201023%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20201023T144402Z&X-Goog-Expires=259199&X-Goog-SignedHeaders=host&X-Goog-Signature=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\", \"/Data/rsna-train-jpeg-fold2.zip\")\n!unzip -q /Data/rsna-train-jpeg-fold2.zip -d /Data/\n%rm /Data/rsna-train-jpeg-fold2.zip\nprint(f\"done in {int((time.time()-start)/60)}min\")\n# fold 3\nstart = time.time()\ndownload(\"https://storage.googleapis.com/kaggle-data-sets/919054/1556767/bundle/archive.zip?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=gcp-kaggle-com%40kaggle-161607.iam.gserviceaccount.com%2F20201023%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20201023T144452Z&X-Goog-Expires=259199&X-Goog-SignedHeaders=host&X-Goog-Signature=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\", \"/Data/rsna-train-jpeg-fold3.zip\")\n!unzip -q /Data/rsna-train-jpeg-fold3.zip -d /Data/\n%rm /Data/rsna-train-jpeg-fold3.zip\nprint(f\"done in {int((time.time()-start)/60)}min\")\n```",
    "1058382": "",
    "1057701": "Thank you for sharing!!",
    "1055444": "Thank you for sharing, nice kernel"
  }
}