{
  "fetched_at": "2026-10-20T10:50:05Z",
  "source_url": "https://www.kaggle.com/competitions/2024-decimal-classification-mics-mnist/data",
  "pages": [
    {
      "name": "data-description",
      "content": "You can find datasets all over the internet; Historically, on Yann Lecun's website (http://yann.lecun.com/exdb/mnist/).\n\nThe (personalized) test dataset can be found here:\nhttps://drive.google.com/drive/folders/1pKvfXiTFc2KtB7GN1qy9XIQEiNP_sXTv?usp=share_link\nNote: The test set comprises data we manually created and that cannot be found on the internet.\n\n## Files\n\n*   **labels_example.csv** - a sample submission file in the correct format\n",
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    {
      "name": "Description",
      "content": "You can train on any online datasets you want (perhaps you will even create your own).\nIn the end, there are 821 digits images to be classified into 10 categories: from \"0\" to \"9\".\n\nThe metric on the test set is category accuracy.\n\nMarking scheme:\nmax(your_accuracy_score, your_percentile)",
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    {
      "name": "rules",
      "content": "Your anonymized information may be utilized for conducting basic statistical analysis and for the purpose of training an ensemble learning during a TD. It is also possible that the information may be included in a scholarly publication.",
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