{
  "fetched_at": "2026-10-18T14:00:50Z",
  "source_url": "https://www.kaggle.com/competitions/cmu-11775-f23-hw1-audio-based-med/data",
  "pages": [
    {
      "name": "data-description",
      "content": "The **data .zip** contains the following:\n\n*   **video/** - folder with 8249 videos in MP4 format.\n*   **labels** - folder with three annotation files:\n\n## Columns\n\nFollow the formats in **labels/test_for_students.csv**.",
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      "hasIsPublished": false,
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    {
      "name": "Description",
      "content": "Homework 1 for 11775 F23. Please refer to the homeworks' Github page for detailed instructions.",
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      "hasIsPublished": false,
      "postTitle": "",
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    },
    {
      "name": "Evaluation",
      "content": "For HW1 we will use classification accuracy as the evaluation metric.\n",
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      "hasIsPublished": false,
      "postTitle": "",
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    },
    {
      "name": "rules",
      "content": "Remember:\n\n - Don't cheat! \n - You can ask others, but do not copy the code!!!\n - Make your hands dirty.\n - Have fun!",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
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    },
    {
      "name": "abstract",
      "content": "You can submit up to 10 times/day. The final performance on the private test set will be revealed one day after DDL. For the output of Task 2, you are expected to gain over 30% Acc. For Task 3, you are expected to gain over 50% Acc. And for Task 4, you are expected to gain over 65% Acc.",
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    }
  ]
}