{
  "fetched_at": "2026-10-20T03:51:20Z",
  "source_url": "https://www.kaggle.com/competitions/11775-s22-hw2-p2/data",
  "pages": [
    {
      "name": "data-description",
      "content": "The data `.zip` file includes the following:\n\n1. `videos_p2/` folder with 29694 videos in MP4 format\n2. `labels_p2/` folder with 2 files:\n    - `cls_map.csv`: CSV with the mapping of the labels and its corresponding class ID (*Category*)\n    - `test_for_students.csv`: submission template with the list of test samples\n\n## Columns\n\n*   `Id` - the name of the sample\n*   `Category` - Id number for a given class\n*   `Label` - a descriptive string of the class",
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      "content": "Homework 2 Part 2 for 11-775 Spring'22. Please refer to the homework's Github page for instructions on how to build a video-based MED pipeline.",
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      "name": "Evaluation",
      "content": "For HW2P2 we will use classification accuracy as the evaluation metric. \n\nThe submission file should contain the classification labels (0-598) for each video in the same order that in the `test_for_student.csv` file.\n\nThe columns are:\n`Id, Category`\n\nand should include the results for the 29694 test samples.",
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