{
  "fetched_at": "2026-10-19T15:31:06Z",
  "source_url": "https://www.kaggle.com/competitions/datacrunch-which-company-is-getting-blocked-next/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>",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    },
    {
      "name": "data-description",
      "content": "The financial reports are in `TABL1.csv` - `TABL4.csv` & the blocked companies are in `blokirane_tvrtke.csv`. The definition of the separate AOPs can be found in `OPISI_AOPA.csv` file.\n\nTo merge the tables use `ZAGLAV.csv` & the `SIFRANIK_*.csv` files. \n\n- `NKD2007` = `DJELATNOSTI2007.csv`\n\n- `VEL` - `SIFRANIK_VELICINA.csv`\n\n- `VLAST` - `SIFRANIK_VLASNISTVA.csv`",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    },
    {
      "name": "Description",
      "content": "[EESTEC LC Zagreb][1] is excited to announce Data Crunch, a big data workshop. After 4 days of lectures, participants are given 2 days to solve a practical task. \n\nThe data was provided by [FINA][2], the leading Croatian company in the field of financial mediation. The task is to build a model to predict if a company will be blocked based on the yearly financial reports. \n\nParticipants are provided with:\n* 5 years worth of yearly financial reports.\n* 4 years worth of account blockage information (ABI). \n\nTheir models are evaluated with the ABI of the last year (5th year) which is withheld. \n\nWe would like to thank [Koios][3], our main sponsor. Without them this workshop wouldn't be possible.\n\nFurthermore we would like to thank [FINA][2], [Coca-Cola][4], [HGSpot][5] & [FER][6].\n\n[1]: http://eestec.hr/\n[2]: https://www.fina.hr\n[3]: http://www.koios.hr/\n[4]: https://www.coca-cola.hr/hr/home/\n[5]: https://www.hgshop.hr/\n[6]: https://www.fer.unizg.hr/",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    },
    {
      "name": "Evaluation",
      "content": "# Evaluation\n\nParticipants need to predict the blockage status for all the companies for the year 2016. The team with the highest accuracy wins.\n\n# Submisison Format\nSubmission format is very simple. A `csv` table with two columns:\n\n- `ID`: unique identifier of the company\n\n- `Blocked`: int (0/1) if the company is blocked or not. \n\nAn example submission can be found among the data, in the file: `kaggle_sample_submission.csv`.\n\n \n",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    }
  ]
}