{
  "fetched_at": "2026-10-20T08:14:45Z",
  "source_url": "https://www.kaggle.com/competitions/football-sentiment/data",
  "pages": [
    {
      "name": "rules",
      "content": "\r\n\t<!-- Begin Base Rules -->\r\n    <h3>One account per participant</h3>\r\n    <p>You cannot sign up to Kaggle from multiple accounts and therefore you cannot submit from multiple accounts.</p>\r\n    <h3>No private sharing outside teams</h3>\r\n    <p>\r\n        Privately sharing code or data outside of teams is not permitted.\r\n        It's okay to share code if made available to all participants on the forums.\r\n    </p>\r\n    <h3>Team Mergers</h3>\r\n    <p>Team mergers are not allowed in this competition.</p>\r\n\r\n    <h3>Team Limits</h3>\r\n    <p>There is no maximum team size.</p>\r\n    <h3>Submission Limits</h3>\r\n    <p>You may submit a maximum of 2 entries per day.</p>\r\n    <p>You may select up to 2 final submissions for judging.</p>\r\n    <h3>Competition Timeline</h3>\r\n    <p>Start Date: <strong>TBA</strong></p>\r\n    <p>Merger Deadline: <strong>None</strong></p>\r\n    <p>Entry Deadline: <strong>None</strong></p>\r\n    <p>End Date: <strong>2/1/2014 12:00 AM UTC</strong></p>\r\n\t<!-- End Base Rules -->\r\n<p>The rules page is a bit special: it will auto-update the text based on the parameters of the competition. The rules you need to add here are any additional rules relating to dataset usage. You may also put grading information here.</p>",
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    {
      "name": "data-description",
      "content": "The data is a collection of annotated tweets. Data is stored in plain CSV files. The first line of each file is the column name. \n\nThe task is to predict the sentiment of the message using the text. That is, to predict the _polarity_ attribute.\n\n\n# File descriptions\n\nAvailable files:\n\n* train.csv - Training file, with data and annotations included.\n* sample_submission.csv - Example of submission file. This is how a submission should look like.\n* test_nolabel.csv - Test file, with all data but no annotations.                                                                                                                                                                                                                                                                                                                                                                                                                 ",
      "isPublished": false,
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    },
    {
      "name": "Description",
      "content": "The data is extracted from Twitter during a spanish footbal match.\n\nThe classification goal is to predict the sentiment of each tweet: Negative, Neutral or Positive.\n",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
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    },
    {
      "name": "Evaluation",
      "content": "The metric used is Categorization Accuracy.\n\n# Submission Format\n\n*For every instance in the dataset*, submission files should contain two columns: _id_ and _polarity_. \n\nThe file should contain a header and have the following format:\n\n<pre>\nid,polarity\naa24173d,Positive\n79cdded5,Negative\n26fe7471,Neutral\nd7d87d07,Positive\nc4852036,Neutral\n5b9c12ba,Neutral\nebf7bff7,Neutral\ne0479405,Positive\ncd0d8bcb,Positive\n</pre>",
      "isPublished": false,
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}