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  "fetched_at": "2026-10-19T12:11:03Z",
  "source_url": "https://www.kaggle.com/competitions/cmpe-257-lab-2-part-2/data",
  "pages": [
    {
      "name": "data-description",
      "content": "<p>The CIFAR-10 data consists of 50,000 32x32 color images in 10 classes. There are 40,000 training images and 10,000 test images in the data. We have preserved the train/test split from the original dataset.</p>\n<p>The label classes in the dataset are: </p>\n<ul>\n<li>airplane</li>\n<li>automobile </li>\n<li>bird </li>\n<li>cat </li>\n<li>deer </li>\n<li>dog </li>\n<li>frog </li>\n<li>horse </li>\n<li>ship </li>\n<li>truck</li>\n</ul>\n<p> The classes are completely mutually exclusive. There is no overlap between automobiles and trucks. \"Automobile\" includes sedans, SUVs, things of that sort. \"Truck\" includes only big trucks. Neither includes pickup trucks. </p>\n",
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    {
      "name": "Description",
      "content": "<p>This challenge is part of the CMPE 257 Lab 2 assessment. Please refer to the lab document for the detailed instructions</p>\n",
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    {
      "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!",
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