Post processing bias mitigation methods with Multi class classification scenario

[pradeepdev-1995]

How to use the Post processing bias mitigation methods such as Reject Option Classification ,Calibrated Equalized Odds post processing,Equalized Odds post processing with multi-class classification dataset?
In the documentation, it says that the fit method requires BinaryLabelDataset datasets as arguments.

Args:
            dataset_true (BinaryLabelDataset): Dataset containing true `labels`.
            dataset_pred (BinaryLabelDataset): Dataset containing predicted
                `scores`.

So how can I pass a MulticlassLabelDataset object to these methods?