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Organize Dataset Files and Folder Structure #1

@SaranDharshanSP

Description

@SaranDharshanSP

Description

The dataset structure in the repository is cluttered and lacks clear organization. Files and subdirectories are mixed together without a proper hierarchy, which makes it hard to navigate and identify relevant datasets.

Current Issues

  • Datasets are scattered across subfolders (as, bs, baselines, dataset) and the main Dataset directory.
  • File names like A11_K.csv, B11_K.csv, and rest_eeg_K.csv do not follow a clear naming convention.
  • Audio files like hello_1.wav are placed alongside unrelated files.
  • No documentation exists to explain the structure or contents.

Suggested Fix

  1. Reorganize the Directory Structure:

  2. Improve File Naming Conventions:

  • Use meaningful and consistent file names (e.g., subject_A11_data.csv or resting_eeg_01.csv).
  • Differentiate categories clearly in the file names.
  1. Add Documentation:
  • Include a README.md inside the Dataset/ folder to explain:
    • Folder contents and purpose.
    • File descriptions (e.g., what A11_K.csv and rest_eeg_K.csv represent).
    • Usage instructions for the datasets.
  1. Verify and Clean Up:
  • Check for redundant or outdated files and remove them.

Expected Outcome

  • A clean and intuitive dataset structure.
  • Improved readability and easy navigation for contributors and users.
  • Clear documentation describing the dataset content.

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