 Experimentally, on three benchmark datasets for machine translation – WMT2014, WMT2016 and IWSLT-2014, FlowSeq achieves comparable performance with state-of-the-art non-autoregressive models, and almost constant decoding time w.r.t. the sequence length compared to a typical left-to-right Transformer model, which is super-linear. 
 Question: What are three neural machine translation (NMT) benchmark datasets used for evaluation?
WMT2014, WMT2016 and IWSLT-2014