{
  "fetched_at": "2026-10-19T09:00:02Z",
  "source_url": "https://www.kaggle.com/competitions/2020-mpcs53111-hw5-fashionmnist/data",
  "pages": [
    {
      "name": "rules",
      "content": "This is a page where you can include rules that participants must accept before joining. You may wish to include rules like:\n\n - Don't cheat!\n - Apply yourself!\n - Have fun!",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    },
    {
      "name": "data-description",
      "content": "\n<h2>File descriptions</h2>\n<ul>\n<li>train.npy: a numpy dump. The matrix is of shape 60000*875. The first 874 columns are the pixels of the image of shape 28 * 28, the last column is the category of the image, from 0 to 9. </li>\n<li>test.npy: a numpy dump. The matrix is of shape 10000*874. The pixels of the test images of shape 28 * 28. </li>\n<li>When you make a submission, please use a csv file with the first row being \"Id,Category\" and the remaining rows your predicted categories with ids starting from 0. </li> \n</ul>",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    },
    {
      "name": "Description",
      "content": "Fashion MNIST dataset predictions",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    },
    {
      "name": "Evaluation",
      "content": "Each line of your submitted file should contain a number from 0 to 9 indicating the predicted class. ",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    }
  ]
}