{
  "fetched_at": "2026-10-19T13:01:27Z",
  "source_url": "https://www.kaggle.com/competitions/classifying-images/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": "<p>There are three data sets: train.csv, which contains 232365 observations of 784 variables. The variables can be re-ordered into a matrix that is an image. train_labels.csv contains 232365 labels that correspond to the observations in train.csv. Finally, test.csv contains 25000 observations of 784 variables. Your job is to assign labels to the 25000 observations in test.csv.</p>\n\n\n",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    },
    {
      "name": "Description",
      "content": "You will classify the images into one of 49 groups. Good Luck!",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    },
    {
      "name": "Evaluation",
      "content": "The evaluation metric is the percent correct that you classify. That's it. Super simple.",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    }
  ]
}