{
  "fetched_at": "2026-10-20T04:44:58Z",
  "source_url": "https://www.kaggle.com/competitions/cs189-hw4-wine/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,
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      "postTitle": "",
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    {
      "name": "data-description",
      "content": "A wine dataset consisting of 6000 training points and 497 test points, with each point having 12 features. The classifier needs to predict whether a wine is white (class label 0) or red (class label 1).",
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      "hasIsPublished": false,
      "postTitle": "",
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    {
      "name": "Description",
      "content": "This dataset is for the Spring 2019 CS189/289A HW 4 assignment.\n\nThe data file contains a wine dataset consisting of 6000 training points and 497 test points, with each point having 12 features. The classifier needs to predict whether a wine is white (class label 0) or red (class label 1). \n\nThe submitted predictions file should contain a header and have the following format:\n\n    Id,Category\n    1,0\n    2,1\n    ...\n    497,0",
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    }
  ]
}