{
  "fetched_at": "2026-10-24T12:38:41Z",
  "source_url": "https://www.kaggle.com/competitions/eeg-seizure-analysis/data",
  "pages": [
    {
      "name": "data-description",
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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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    {
      "name": "Description",
      "content": "### Data Description\n\nRecordings, grouped into 23 cases, were collected from 22 subjects (5 males, ages 3–22; and 17 females, ages 1.5–19). (Case chb21 was obtained 1.5 years after case chb01, from the same female subject.) \n\nAll signals were sampled at 256 samples per second with 16-bit resolution. The dataset contain 23 EEG signals.\n\nIn all, these records include 198 seizures (182 in the original set of 23 cases). The seizures were extracted and mixed with some non-seizure samples for this binary classification task.\nThe dataset consists of ~54K samples of (23, 256)-shaped input representing signals from EEG patients.\nBoth validation and test are ~8072 samples long\n\n\nReference:\nGoldberger, A., Amaral, L., Glass, L., Hausdorff, J., Ivanov, P. C., Mark, R., ... & Stanley, H. E. (2000). PhysioBank, PhysioToolkit, and PhysioNet: Components of a new research resource for complex physiologic signals. Circulation [Online]. 101 (23), pp. e215–e220.",
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    {
      "name": "Evaluation",
      "content": "## Evaluation\n\n#### You will be evaluated on your average precision for the given test samples.\n#### You should provide a CSV with the columns : Id,Predicted\n#### And each of the following 8072 lines will have the samples number (from 0 to 8072) and \n\n\n\n",
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