  In this paper we introduce vSTS, a new dataset for measuring textual
similarity of sentences using multimodal information. The dataset is comprised
by images along with its respectively textual captions. We describe the dataset
both quantitatively and qualitatively, and claim that it is a valid gold
standard for measuring automatic multimodal textual similarity systems. We also
describe the initial experiments combining the multimodal information.
