{
  "fetched_at": "2026-10-20T00:28:30Z",
  "source_url": "https://www.kaggle.com/competitions/MTIDACmincompW1/data",
  "pages": [
    {
      "name": "data-description",
      "content": "\n## City X PM2.5 Data Set \n### Pollution Level Forecasting\n \n---\n\nThis data set has 43824 rows and 13 columns.\nThis hourly data set contains the PM2.5 data of a building area in city X. Meanwhile, meteorological data from X Capital International Airport are also included.\nRead the data dictionary for further explanation\n\n\n\n",
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    {
      "name": "Description",
      "content": "The first internal competition by MTI DAC, try to introduce its members with kaggle competition 🙌 \n\nanyone can join. register your team here if you haven't 🙏 \nbit.ly/YukJoinMinCom",
      "isPublished": false,
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    {
      "name": "Evaluation",
      "content": "\nSubmissions are evaluated one the Root Mean Squared Logarithmic Error (RMSLE). The RMSLE is calculated as\n\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F3235980%2F2108c4d753ddfc143ef8d941bcc818f2%2F0_AUzyQ1rc6mpQVYfn.png?generation=1596542406374365&alt=media)",
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      "hasIsPublished": false,
      "postTitle": "",
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    },
    {
      "name": "rules",
      "content": "anyone can participate, however you must follow these rules:\n\n - Have fun!\n - Regist your team first on google form before join this kaggle competition\n - Discussion in DAC line group is allowed\n",
      "isPublished": false,
      "hasIsPublished": false,
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  ]
}