We present the French Question Bank, a treebank of 2600 questions. We show that classical parsing model performance drop while the inclusion of this data set is highly beneficial without harming the parsing of non-question data. when facing out-of-domain data with strong structural divergences. Two thirds being aligned with the English QuestionBank (Judge et al., 2006) and being freely available, this treebank will prove useful to build robust NLP systems.