{
  "fetched_at": "2026-10-19T09:46:10Z",
  "source_url": "https://www.kaggle.com/competitions/2024-zjutest-3/data",
  "pages": [
    {
      "name": "data-description",
      "content": "train.csv - the training set\ntest.csv - the test set\nsample_submission.csv - a sample submission file in the correct format\n",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    },
    {
      "name": "Description",
      "content": "本次作業為Image Sentiment Classification。我們提供給各位的training dataset為兩萬二千張左右48x48 pixel的圖片，以及每一張圖片的表情label（注意：每張圖片都會唯一屬於一種表情）。總共有七種可能的表情（0：生氣, 1：厭惡, 2：恐懼, 3：高興, 4：難過, 5：驚訝, 6：中立(難以區分為前六種的表情))。\n\nTesting data則是6千張左右48x48的圖片，希望各位同學能利用training dataset訓練一個CNN model，預測出每張圖片的表情label（同樣地，為0~6中的某一個）並存在csv檔中。",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
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      "mimeType": "",
      "hasMimeType": false
    },
    {
      "name": "Evaluation",
      "content": "## Submission File\nFor each ID in the test set, you must predict a probability for the TARGET variable. The file should contain a header and have the following format:\n\n    ID,Label\n    0,2\n    1,0\n    2,0\n    etc.",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    },
    {
      "name": "rules",
      "content": "Don't cheat!\nApply yourself!\nHave fun!",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    },
    {
      "name": "abstract",
      "content": "2024ZJUTEST3",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    }
  ]
}