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Description
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 mainDataset
directory. - File names like
A11_K.csv
,B11_K.csv
, andrest_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
-
Reorganize the Directory Structure:
-
Improve File Naming Conventions:
- Use meaningful and consistent file names (e.g.,
subject_A11_data.csv
orresting_eeg_01.csv
). - Differentiate categories clearly in the file names.
- Add Documentation:
- Include a
README.md
inside theDataset/
folder to explain:- Folder contents and purpose.
- File descriptions (e.g., what
A11_K.csv
andrest_eeg_K.csv
represent). - Usage instructions for the datasets.
- 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- Check for redundant or outdated files and remove them.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.