{
  "fetched_at": "2026-10-20T05:42:20Z",
  "source_url": "https://www.kaggle.com/competitions/almausalaries/data",
  "pages": [
    {
      "name": "data-description",
      "content": "<h2>File descriptions</h2>\n<ul>\n<li><strong>salary_train.csv</strong> - the training set</li>\n<li><strong>salary_predict.csv</strong> - the test set</li>\n<li><strong>salary_example_submission.scv - a sample submission file in the correct format</li>\n</ul>",
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    {
      "name": "Description",
      "content": "You are given a dataset of specialists with the grades they earned in the university and the salary they receive now. \n\nYour main goal is to predict a salary based on university grades and the job title.\n\nThe dataset is fully synthetic, the data is not real. Try to find out how different jobs depending on the courses. For example, for a finance auditor  it is more important to know accounting than physics. For a software developer, it is more important to know to program, but algebra is also important, although not that much. Based on these observations it will be much easier to find the solution.\n",
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    {
      "name": "Evaluation",
      "content": "<p>The evaluation metric for this competition is RMSE - Root Mean Square Error</p>\n<h2>Submission Format</h2>\n<p><strong>For every person in the dataset</strong>, submission files should contain two columns: Id and salary. </p>\n<p>The file should contain a header and have the following format:</p>\n<pre>\nId,salary\n1,100000\n2,200000\n3,300000\n4,400000\n</pre>",
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    {
      "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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}