{
  "fetched_at": "2026-10-19T08:52:03Z",
  "source_url": "https://www.kaggle.com/competitions/bigdata-2022-part-classification/data",
  "pages": [
    {
      "name": "data-description",
      "content": "# Files\n\n- train.csv: The dataset you need to use for training the model.\n- test.csv: The articles you need to predict.\n- sample.csv: Some sample submission",
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    {
      "name": "Description",
      "content": "# Part A, Text Classification\n\nYou will be given a training dateset with articles in 4 categories. The task is to train a classier and to predict a testing set.\n\n# Hints\n\n- Experiment with the preprocessing\n- Try to reduce  the training time in order to do more experiments\n- Sometimes the default parameters are not enough\n- Even if it is an overkill, experiment with huggingface transformers\n- Use  Google colab\n\n",
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    {
      "name": "Evaluation",
      "content": "\n\n# Submission File\n\nThe submission file should contain a header and have the following format:\n```\nId,Predicted\n1,Business\n```\n#  Evaluation\n\nThe evaluation metric is  Macro F1 score.",
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    {
      "name": "rules",
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      "isPublished": false,
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