{
  "fetched_at": "2026-10-19T09:02:51Z",
  "source_url": "https://www.kaggle.com/competitions/g2net-hackathon/data",
  "pages": [
    {
      "name": "data-description",
      "content": "This page appears alongside the data files. It describes what files have been provided and the format of each. There is no single format for this page that is appropriate for all competitions, but you should strive to describe as much as you can here. A little time spent describing the data here can save a lot of time answering questions later.\n\nParticipants should be able to answer these types of questions after reading the data description:\n\nWhat files do I need?  \nWhat should I expect the data format to be?  \nWhat am I predicting?  \nWhat acronyms will I encounter?\n\n## Files\n\n*   **classification_training_data.npz** - the training set\n*   **classification_validation_data.npz** - the training set\n*   **classification_test_data.npz** - the test set\n*   **sample_submission.csv** - a sample submission file in the correct format\n\n## Columns\n\n*   `example_id` - definition of example_id\n*   `feature_1` - definition of feature_1\n*   etc.",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
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    },
    {
      "name": "Description",
      "content": "In this competition, you will be given a training set of real noise segments of the Hanford detector during the O3 run, in which gravitational wave models were injected at different signal-to-noise ratios (SNR). Your task is to classify each segment into one of three categories: 1) 0<=SNR<6 2) 6 <=SNR <10 and 3) SNR >= 10.\n\nThe injections correspond to binary black hole mergers with non-aligned spins, having masses between 7 and 50 times the solar mass, randomly distributed at different sky localizations and inclinations and in a distance ranges that results in signal to noise ratios up to about 50.",
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      "hasIsPublished": false,
      "postTitle": "",
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    },
    {
      "name": "Evaluation",
      "content": "The description of the evaluation is as follows (TBD).\n\n## Submission Format\n\nThe submission file should in csv format and contain a three columns, one for each class, in which the probability that an injection belongs to each class is recorder (from 0 to 1).\n",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    },
    {
      "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! 😄",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    }
  ]
}