{
  "fetched_at": "2026-10-24T16:34:33Z",
  "source_url": "https://www.kaggle.com/competitions/classification-musical-emotions/data",
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      "name": "data-description",
      "content": "## Dataset Description:\nThe original dataset contains 7 classes but this is just a subset of the original dataset which contains 2 classes. The audio files in the dataset were already preprocessed by converting them into smaller chunks of equal size. All music were divided into 10 seconds smaller chunks using FFMPEG.\n\nThe chunks of the same song have the equally spaced names like : Happy20001-Happy20016(Same song)\nThe last two digits resembles the chunk number while the first three digits are the ID of the original song which is provided as the GroupID.\nThe two classes are: \n1. Happy and \n2.Sad\n\n\n## Files\n\n*   **Train.zip** - the training set\n*   **Test.zip** - the test set\n*   **sample_submission** - a sample submission file to be submitted in the correct format\n\n## Columns\n\n*   `File Name` - .wav files\n*   `Target` - Label (Happy/Sad)\n",
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      "name": "Description",
      "content": "## Objective:\nTo classify Happy or Sad Emotions in Musical Audio Files using deep learning. Essentially, it a binary classification problem.\n\n## Problem Statement\nTo build and implement a deep learning model to classify Happy or Sad Emotions in Musical Audio Files dataset.\n\nAt the end of this competition, you will be able to:\n\nLoad and extract features of wave files available in the Musical Audio Files dataset using librosa.feature.mfcc\n\nBuild a deep learning model using either Keras or PyTorch deep learning libraries.\n",
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    {
      "name": "Evaluation",
      "content": "The evaluation pages describes how submissions will be scored and how students should format their submissions.\n\nThe evaluation metric for this competition is Categorization Accuracy.\n\nThe file should contain a header and have the following format:\n\nFile Name, Target",
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    {
      "name": "rules",
      "content": "One account per participant You cannot sign up to Kaggle from multiple accounts and therefore you cannot submit from multiple accounts.\n\nNo private sharing outside teams Privately sharing code or data outside of teams is not permitted. It's okay to share code if made available to all participants on the forums.\n\nTeam Mergers Team mergers are allowed and can be performed by the team leader. In order to merge, the combined team must have a total submission count less than or equal to the maximum allowed as of the Team Merger Deadline. The maximum allowed is the number of submissions per day multiplied by the number of days the competition has been running.\n\nTeam Limits The maximum team size is 4.\n\nSubmission Limits You may submit a maximum of 20 entries per day.\n\nCompetition Timeline Competition Timeline dates (including Entry Deadline, Final Submission Deadline, Start Date, and Team Merger Deadline, as applicable) are reflected on the competition’s Overview > Timeline page.",
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