Q: 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.
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?
A:

Show your work and conclude with the exact phrasing "Therefore, the final answer is [answer]." where [answer] is just the final number or expression that solves the problem.
user
SNLI, MultiNLI and SICK