{
  "id": 284714,
  "title": "How to Upload Unzipped Folders on My Desktop to Kaggle",
  "url": "/competitions/dogs-vs-cats/discussion/284714",
  "author_name": "",
  "post_date": "2021-11-02T04:57:26.427577500Z",
  "votes": 8,
  "comment_count": 4,
  "views": 0,
  "content": "<p>Hi.</p>\n<p>I noticed the cats-vs-dogs folder is zipped. First, I downloaded it to my desktop and unzipped it there. However, I don't know how to upload the unzipped folders to kaggle (I have uploaded csv files to kaggle a couple of times but I can't seem to upload a folder). What should I do?</p>\n<p><strong>Note</strong>: I saw a code I could use to unzip the folder without downloading it to my desktop. I used this code to unzip the folder and accessed some images. However, I think my knowledge is still very basic as I could not create separate folders for train and test datasets. </p>",
  "messages": [
    {
      "id": "1567647",
      "postDate": "11/02/2021 04:57:26",
      "content": "<p>Hi.</p>\n<p>I noticed the cats-vs-dogs folder is zipped. First, I downloaded it to my desktop and unzipped it there. However, I don't know how to upload the unzipped folders to kaggle (I have uploaded csv files to kaggle a couple of times but I can't seem to upload a folder). What should I do?</p>\n<p><strong>Note</strong>: I saw a code I could use to unzip the folder without downloading it to my desktop. I used this code to unzip the folder and accessed some images. However, I think my knowledge is still very basic as I could not create separate folders for train and test datasets. </p>",
      "rawMarkdown": "Hi.\n\nI noticed the cats-vs-dogs folder is zipped. First, I downloaded it to my desktop and unzipped it there. However, I don't know how to upload the unzipped folders to kaggle (I have uploaded csv files to kaggle a couple of times but I can't seem to upload a folder). What should I do?\n\n**Note**: I saw a code I could use to unzip the folder without downloading it to my desktop. I used this code to unzip the folder and accessed some images. However, I think my knowledge is still very basic as I could not create separate folders for train and test datasets.",
      "votes": null
    },
    {
      "id": "1568823",
      "postDate": "11/03/2021 04:05:50",
      "content": "<p>Hello. You may use my unzip &amp; preprocessing script at<br>\n<a href=\"https://www.kaggle.com/imcr00z/intro-to-cnn-dogs-vs-cats\" target=\"_blank\">Intro to CNN (Dogs vs. Cats)</a><br>\nor<br>\n<a href=\"https://www.kaggle.com/imcr00z/intro-to-cnn-augmentation-dropout\" target=\"_blank\">Intro to CNN: Augmentation &amp; Dropout</a></p>",
      "rawMarkdown": "Hello. You may use my unzip & preprocessing script at\n[Intro to CNN (Dogs vs. Cats)](https://www.kaggle.com/imcr00z/intro-to-cnn-dogs-vs-cats)\nor\n[Intro to CNN: Augmentation & Dropout](https://www.kaggle.com/imcr00z/intro-to-cnn-augmentation-dropout)",
      "votes": null
    },
    {
      "id": "1569016",
      "postDate": "11/03/2021 07:30:06",
      "content": "<p>Thanks. I will check the links out</p>",
      "rawMarkdown": "Thanks. I will check the links out",
      "votes": null
    },
    {
      "id": "1570785",
      "postDate": "11/04/2021 11:26:56",
      "content": "<p>New part: <a href=\"https://www.kaggle.com/imcr00z/transfer-learning-dogs-vs-cats-98-acc\" target=\"_blank\">Transfer Learning (Dogs vs. Cats) 98% acc.</a><br>\n1st step is data preprocessing: unzip and split to train &amp; valid</p>",
      "rawMarkdown": "New part: [Transfer Learning (Dogs vs. Cats) 98% acc.](https://www.kaggle.com/imcr00z/transfer-learning-dogs-vs-cats-98-acc)\n1st step is data preprocessing: unzip and split to train & valid",
      "votes": null
    },
    {
      "id": "1570787",
      "postDate": "11/04/2021 11:28:11",
      "content": "<p>I will be grateful for the rating :)</p>",
      "rawMarkdown": "I will be grateful for the rating :)",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 1568823,
      "author_name": "imcr00z",
      "author_url": "",
      "post_date": "11/03/2021 04:05:50",
      "content": "<p>Hello. You may use my unzip &amp; preprocessing script at<br>\n<a href=\"https://www.kaggle.com/imcr00z/intro-to-cnn-dogs-vs-cats\" target=\"_blank\">Intro to CNN (Dogs vs. Cats)</a><br>\nor<br>\n<a href=\"https://www.kaggle.com/imcr00z/intro-to-cnn-augmentation-dropout\" target=\"_blank\">Intro to CNN: Augmentation &amp; Dropout</a></p>",
      "votes": null,
      "replies": [
        {
          "id": 1569016,
          "author_name": "zammie",
          "author_url": "",
          "post_date": "11/03/2021 07:30:06",
          "content": "<p>Thanks. I will check the links out</p>",
          "votes": null,
          "replies": []
        },
        {
          "id": 1570787,
          "author_name": "imcr00z",
          "author_url": "",
          "post_date": "11/04/2021 11:28:11",
          "content": "<p>I will be grateful for the rating :)</p>",
          "votes": null,
          "replies": []
        }
      ]
    },
    {
      "id": 1570785,
      "author_name": "imcr00z",
      "author_url": "",
      "post_date": "11/04/2021 11:26:56",
      "content": "<p>New part: <a href=\"https://www.kaggle.com/imcr00z/transfer-learning-dogs-vs-cats-98-acc\" target=\"_blank\">Transfer Learning (Dogs vs. Cats) 98% acc.</a><br>\n1st step is data preprocessing: unzip and split to train &amp; valid</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "1567647": "Hi.\n\nI noticed the cats-vs-dogs folder is zipped. First, I downloaded it to my desktop and unzipped it there. However, I don't know how to upload the unzipped folders to kaggle (I have uploaded csv files to kaggle a couple of times but I can't seem to upload a folder). What should I do?\n\n**Note**: I saw a code I could use to unzip the folder without downloading it to my desktop. I used this code to unzip the folder and accessed some images. However, I think my knowledge is still very basic as I could not create separate folders for train and test datasets.",
    "1568823": "Hello. You may use my unzip & preprocessing script at\n[Intro to CNN (Dogs vs. Cats)](https://www.kaggle.com/imcr00z/intro-to-cnn-dogs-vs-cats)\nor\n[Intro to CNN: Augmentation & Dropout](https://www.kaggle.com/imcr00z/intro-to-cnn-augmentation-dropout)",
    "1569016": "Thanks. I will check the links out",
    "1570785": "New part: [Transfer Learning (Dogs vs. Cats) 98% acc.](https://www.kaggle.com/imcr00z/transfer-learning-dogs-vs-cats-98-acc)\n1st step is data preprocessing: unzip and split to train & valid",
    "1570787": "I will be grateful for the rating :)"
  },
  "source": "meta"
}