The share.py has dictionaries for every dataset, an implementation with dataclass would fit better.
In data_classification, converting the channel montage into independent channels is essential. While multiple lines of code are necessary for this process, there is potential for optimization.
Note: Remove the todo, when this issue is solved.
KPI:
Those extra lines where the dataset_info is temporarily changed must be adapted to the dataclass implementation.
The share.py has dictionaries for every dataset, an implementation with dataclass would fit better.
In data_classification, converting the channel montage into independent channels is essential. While multiple lines of code are necessary for this process, there is potential for optimization.
Note: Remove the todo, when this issue is solved.
KPI: Those extra lines where the dataset_info is temporarily changed must be adapted to the dataclass implementation.