Hugging Face offers specific repositories for models and datasets (i.e. “inputs” for ML tasks), and spaces for demos.
However, I would like to store logic-based explanations for classifications (i.e. “outputs”). Long story short, these are possibly large logical formulas in text format. I do not see a suitable way to accomplish this via HF repositories, because all offer some special additional features that I do not need for this application.
What would you recommend me to do?
Are there future plans or is it possible to create a “plain” repository with no additional features?