SemEval is a series of international natural language processing (NLP) research workshops whose mission is
to advance the current state of the art in semantic analysis and to help create high-quality annotated datasets in a
range of increasingly challenging problems in natural language semantics. This is a translated version of SemEval Dataset
from 2012-2016 for Semantic Textual Similarity Task to Indonesian language.