[WIP] Adding a A large EEG database with users' profile information for motor imagery Brain-Computer Interface dataset

[Sara04]

This PR aims to add a new MI dataset https://zenodo.org/record/7554429 proposed in #1 .

[sylvchev]

Do not forget to add also the dataset information the documentation (docs/sources/datasets.rst). You need also to update the whats_new.rst in the same folder.

[sylvchev]

To avoid long list like that you could use #fmt: off/on like explained here

[sylvchev]

You may rename this class as Dreyer2023Base to make clear that is the parent class and you could indicate in the docstring that it should not be used directly, instead use Dreyer2023A, Dreyer2023BorDreyer2023C`.

[sylvchev]

The dataset summary + description should removed here and put in each dataset (A, B and C) with the correct number of subjects. Keep only the information that this is the parent class and that it should not be instanciated directly.

[Sara04]

Thanks, @sylvchev ! I moved dataset summary and description to each A, B and C dataset. Since, recording procedure is the same, a large portion of the descriptions is the same for all the three datasets.

[sylvchev]

Suggested change

	from moabb.datasets import Dreyer2023A, Dreyer2023B, Dreyer2023C
	from moabb.datasets import Dreyer2023A

B & C not used here

[sylvchev]

Suggested change

	dreyer2023 = Dreyer2023A()
	dreyer2023 = Dreyer2023A()
	dreyer2023.subject_list = dataset.subject_list[:6]

Generating documentation uses lots of computational ressources, both for CPU and network bandwidth. We try to limit as much as possible the datasets downloaded for generating docs (they are shared between the examples). As the user's profile included in this dataset could give some interesting insight, we could consider to add this dataset in the documentation, but it should use only a selection of subjects to keep the bandwidth usage within reasonable limits. Could you adapt the above line to select only a representative individual for your analysis below. If you could keep the number of subjects between 4 and 8, it will really lower the doc building time.
Cherry picking subjects for the documentation is allowed ^^

[Sara04]

Thanks! I've selected 4 subjects (to include all combinations of participants' and experimenters' genders). However, since data of all subjects are zipped they all need to be downloaded together, is there some solution for this?

[sylvchev]

No unfortunately.
The only possibility I see is to make this example a static one, that is you change the name of the file into Dreyer_clf_scores_vs_subj_info.py (without the plot_ prefix) and Sphinx won't execute this example, only display the code. If you want, you could generate a figure on your computer and upload it in a new folder examples/images/, then you could include the resulting image from your example code (see for example this page or that page).

[sylvchev]

No unfortunately.
The only possibility I see is to make this example a static one, that is you change the name of the file into Dreyer_clf_scores_vs_subj_info.py (without the plot_ prefix) and Sphinx won't execute this example, only display the code. If you want, you could generate a figure on your computer and upload it in a new folder examples/images/, then you could include the resulting image from your example code (see for example this page or that page).

[bruAristimunha]

Can you review @sylvchev?