We chose three different datasets for the experiments: SNLI, MultiNLI and SICK. The Stanford Natural Language Inference (SNLI) corpus BIBREF4 is a dataset of 570k human-written sentence pairs manually labeled with the labels entailment, contradiction, and neutral.  The Multi-Genre Natural Language Inference (MultiNLI) corpus BIBREF5 consisting of 433k human-written sentence pairs labeled with entailment, contradiction and neutral. SICK BIBREF6 is a dataset that was originally constructed to test compositional distributional semantics (DS) models.  
 Question: Which datasets were used?
SNLI, MultiNLI and SICK