You will be given a definition of a task first, then some input of the task.
In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.

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?
Output:
WMT2014, WMT2016 and IWSLT-2014