{
  "fetched_at": "2026-10-19T23:14:07Z",
  "source_url": "https://www.kaggle.com/competitions/eureka-6/data",
  "pages": [
    {
      "name": "data-description",
      "content": "*   **train.csv** - Train File\n*   **test.csv** - Test File\n*   **sample_submission.csv** - Submission File",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
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      "hasMimeType": false
    },
    {
      "name": "Description",
      "content": "## Rules\n - Don't cheat!   |   Try yourself!   |   Have fun!\n - 20 submissions/day\n - Due Date: 26-02-2023 | 4:00 pm\n - Team size = 2 (max)\n",
      "isPublished": false,
      "hasIsPublished": false,
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    },
    {
      "name": "Evaluation",
      "content": "## The evaluation metric\n\n- The evaluation metric for this competition is [Accuracy](https://en.wikipedia.org/wiki/Accuracy_and_precision#In_binary_classification).\n\n## Submission Format\n\n- **Submission file contain two columns:** `id` and `target`.\n- **`id`**: Don't change it.\n- **`target`**: You need to predict it, it can be either 0, 1, 2, 3 or 4.\n- The submission file should contain a header and have the following format:\n```\nid,target\nucs765-1,1\nucs765-2,4\nucs765-3,0\nucs765-4,3\nucs765-5,1\n```",
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      "postTitle": "",
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    },
    {
      "name": "rules",
      "content": "## Rules\n - Don't cheat!   |   Try yourself!   |   Have fun!\n - 20 submissions/day\n - Due Date: 26-02-2023 | 4:00 pm\n - Team size = 2 (max)\n",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    }
  ]
}