{
  "fetched_at": "2026-10-19T10:59:54Z",
  "source_url": "https://www.kaggle.com/competitions/dlinnlp-spring-2019-clf/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!",
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      "name": "data-description",
      "content": "<p>You are provided with labeled articles. Each article consists of label and body. The task is to predict the label (clickbait, news or other).</p>\n<h2>File descriptions</h2>\n<ul>\n<li><strong>train.csv</strong> - the training set</li>\n<li><strong>test.csv</strong> - the test set</li>\n<li><strong>valid.csv</strong> - the validation set</li>",
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      "name": "Description",
      "content": "Your task is to classify news articles into tree categories: news, clickbait and other.\n\n**UPD 21.04:** added unlabeled data",
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    {
      "name": "Evaluation",
      "content": "<p>The evaluation metric for this competition is <b>macro average of F1-Score</b> for each class. The F1 score, commonly used in information retrieval, measures accuracy using the statistics precision p and recall r. Precision is the ratio of true positives (tp) to all predicted positives (tp + fp). Recall is the ratio of true positives to all actual positives (tp + fn). The F1 score is given by:</p>\n<p>\\[ F1 = 2\\frac{p \\cdot r}{p+r}\\ \\ \\mathrm{where}\\ \\ p = \\frac{tp}{tp+fp},\\ \\ r = \\frac{tp}{tp+fn} \\]</p>\n<p>The F1 metric weights recall and precision equally, and a good retrieval algorithm will maximize both precision and recall simultaneously. Thus, moderately good performance on both will be favored over extremely good performance on one and poor performance on the other.</p>\n<h2>Submission Format</h2>\n<p><strong>For every article in the dataset</strong>, submission files should contain two columns: id and label. Label should be one of the following: news, clickbait or other. Id should be consistent with test.csv index.</p>\n<p>The file should contain a header and have the following format:</p>\n<pre>id,label<br>1,news<br></pre>",
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