{
  "fetched_at": "2026-10-19T06:39:39Z",
  "source_url": "https://www.kaggle.com/competitions/deep-learning-sszg529-bits-pilani/data",
  "pages": [
    {
      "name": "data-description",
      "content": "The dataset contains folder **train_data** which contains micro facial expression images for each of the 5 emotions and folder **test_data** which contains images for the test set.\nThe test.csv file contains the filenames of the test files.\n\nYou are requested to perform any data preprocessing tasks in case of discrepancies in the data.\n\n## Files\n\n*   **train_data** - the training set images\n*   **test_data** - the test set images\n*   **test.csv** - the test set\n*   **sample_submission.csv** - a sample submission file in the correct format",
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    {
      "name": "Description",
      "content": "This is a micro-facial emotion recognition task based on micro facial expressions dataset. Predict one of 5 emotions which are defined here:\n1 -> Happiness\n2 -> Other\n3 -> Anger\n4 -> Contempt\n5 -> Surprise\n(**Strictly follow the above encoding for your output.**)\n\nOnly 5 submissions per day are allowed.\nSubmission should be as per the format given. Any other format would lead to an invalid solution and won't be evaluated. The final solution should have 2 columns: 'Id' and 'Class'.\n\nI thank Professor Tanmay for providing this dataset.",
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    },
    {
      "name": "Evaluation",
      "content": "The evaluation metric for this competition is the categorization accuracy on the public and private leaderboards.\n\n## Submission Format\n\nThe submission should follow the format given as sample_submission.csv. It should contain 2 columns: **Id** and **Class**.",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
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    },
    {
      "name": "rules",
      "content": " - Don't cheat!\n - Apply yourself!\n - Have fun!",
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      "hasIsPublished": false,
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  ]
}