{
  "fetched_at": "2026-10-19T21:12:50Z",
  "source_url": "https://www.kaggle.com/competitions/cht-ml-2019-text-sentiment-classification/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,
      "hasIsPublished": false,
      "postTitle": "",
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    {
      "name": "data-description",
      "content": "- **training.txt**   :Training data with label (160000)\n\n- **testing.txt**  :Testing data without label (40000)\n\n- **sample_submission.csv**  : A sample submission file (40000)",
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    },
    {
      "name": "Description",
      "content": "**Goal**\n\nThe goal of this task is to perform text sentiment classification.\n\nWe provide a dataset that is collected from Twitter, and for each sentence in the dataset, there will be a corresponding sentiment, either positive or negative. You are going to implement an RNN (Recurrent Neural Network) model and predict whether the sentiment of the sentence is positive and negative.\n\n**Dataset**\n\nThe whole datasets contain two parts, including the training dataset and the testing dataset.\n\nBoth the training data contains 160000 and testing dataset contains 40000 sentences, respectively. Each sentence from the training dataset is paired with the sentiment of the sentence (1: positive, 0: negative), and the sentence from the testing dataset are not.\n\nYou need to upload your prediction of the moods for every sentence in the testing dataset, and try to reach the baseline we set for this competition.",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
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    },
    {
      "name": "Evaluation",
      "content": "<h2>Evaluation</h2>\n<p>The evaluation metric for this competition is <strong>accuracy</strong></p>\n<h2>Submission Format</h2>\n<p>The file should contain a header and have the following format:</p>\n<pre>id,label<br>0,1<br>1,0</pre>",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
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    }
  ]
}