Before revision:  We propose MQA-QG, an unsupervised question answering framework that can generate human-like multi-hop training pairs from both homogeneous and heterogeneous data sources.
After revision:  We propose MQA-QG, an unsupervised question answering framework that can generate human-like multi-hop training data from both homogeneous and heterogeneous data sources.