{
  "fetched_at": "2026-10-20T03:31:05Z",
  "source_url": "https://www.kaggle.com/competitions/cse464-introduction-to-data-mining-challenge-2/data",
  "pages": [
    {
      "name": "data-description",
      "content": "The trainset.csv file contains three columns: ID, Rating, Comment\n\nThe testset without answer.csv file contains two columns: ID, Comment\n\nThe sample submission.csv file contains a sample format for Kaggle submission",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    },
    {
      "name": "Description",
      "content": "You are given a faculty evaluation dataset that categorizes feedback about the corresponding faculty member into 3 levels: good, average and poor.\n\nThe training dataset has 3000+ comments while the test dataset has 1300+ comments.",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    },
    {
      "name": "Evaluation",
      "content": "The evaluation score is based on accuracy, i.e., how correctly you classify each feedback.",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    },
    {
      "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": "",
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    }
  ]
}