{
  "fetched_at": "2026-10-19T16:33:06Z",
  "source_url": "https://www.kaggle.com/competitions/cs189-hw6-cifar10-sp2023/data",
  "pages": [
    {
      "name": "data-description",
      "content": "The .npz file will load as a python dictionary containing three fields:\n\n- training data, the training set features. Rows are samples and columns are features.\n\n- training labels, the training set labels. Rows are samples. There is one column: The label.\n\n- test data, the test set features. Rows are samples and columns are features.",
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      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    },
    {
      "name": "Description",
      "content": "The submitted predictions file should contain a header and have the following format:\n\n```\nId,Category\n1,0\n2,0\n...\n10000,1\n```",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    },
    {
      "name": "rules",
      "content": "While discussion of homework problems is encouraged, all homeworks, including programming, must be written individually. We will actively check for plagiarism. The typical penalty is a large NEGATIVE score, but we reserve the right to give an instant F for even one violation, and will always give an F for two.",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    }
  ]
}