{
  "fetched_at": "2026-10-20T04:02:45Z",
  "source_url": "https://www.kaggle.com/competitions/cars-price/data",
  "pages": [
    {
      "name": "data-description",
      "content": "## Files\n\n*   **train.csv** - the training set\n*   **test.csv** - the test set\n*   **sample_submission.csv** - a sample submission file in the correct format\n\n## Columns\n\n*   `id` - id\n*   `brand` - car brand\n*   `model` - car model\n*   `year` - year of car manufacture\n*   `engine` - engine volume\n*   `fuel` - fuel type\n*   `transmission` - transmission  type\n*   `km` - car mileage\n*   `price` - car price",
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    {
      "name": "Description",
      "content": "You will predict car prices by using information about the car, such as the brand, model, type of transmission and fuel, engine volume and mileage, and the year of manufacture. \n\nYou can submit the solution 20 times.\nGood luck!",
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    {
      "name": "Evaluation",
      "content": "The evaluation metric for this competition is [MAE](https://en.wikipedia.org/wiki/Mean_absolute_error).\n\n## Submission Format\n\nSubmission file should contain two columns: `id` and `price`. \n\nThe file should contain a header and have the following format:\n```\nid,price\n0,2529\n1,2529\n2,2529\n3,2529\n...\n```",
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    },
    {
      "name": "rules",
      "content": " - You can use any approach to solve the problem\n - Have fun!",
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}