For the models that directly learn to map a complex sentence into a meaning preserving sequence of at least two sentences ( HY-BRIDSIMPL, SEQ2SEQ and MULTISEQ2SEQ), the training set consists of 886,857 C, T pairs with C a complex sentence and T , the corresponding text.
for the pipeline models which first partition the input and then generate from RDF data (SPLIT-MULTISEQ2SEQand SPLIT-SEQ2SEQ), the training corpus for learning to partition consists of 13,051 M C , M 1 .