The first step is to create the dataset, you can create dataframe with a column for the questions/not questions and another with the labels. Then you can use the datablock api to create a databunch. You can follow lesson 3 notebook, the problem is very similar, instead of positive/negative you have question/statement.
You can try to remove the question marks from the questions to see how well the model can do.