{
  "fetched_at": "2026-10-19T15:16:25Z",
  "source_url": "https://www.kaggle.com/competitions/cse158-fa18-category-prediction/data",
  "pages": [
    {
      "name": "rules",
      "content": "Complete assignments individually.\n\nYou may use any library functions to come up with your solution, but do not try to reverse engineer the anonymized data.\n\nDo not select offensive team names.\n\nSubmissions violating these rules will not be graded.",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
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    },
    {
      "name": "data-description",
      "content": "**train.json.gz:** training data, containing labels for all tasks.\n\n**test_Category.json.gz:** test data for the category prediction task (CSE158 only). Contains all fields for each review, except for the label.\n\n**pairs_Purchase.txt, pairs_Category.txt, pairs_Rating.txt:** user and item IDs about which you must make predictions.\n\n**baselines.py:** will produce a valid submission file corresponding to the simple baselines described in the assignment spec.",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    },
    {
      "name": "Description",
      "content": "Category prediction task for CSE158. See course homepage for assignment spec.",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    },
    {
      "name": "Evaluation",
      "content": "Performance for this task is measured in terms of the **accuracy.** See assignment spec for evaluation details.",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    }
  ]
}