Also, such embeddings are usually trained on Indonesian Wikipedia (Al-Rfou et al., 2013; <cite>Bojanowski et al., 2017</cite>) whose size is relatively small, approximately 60M tokens. Therefore, in this work, we introduce KaWAT (Kata Word Analogy Task), an Indonesian word analogy task dataset, and new Indonesian word embeddings pretrained on 160M tokens of online news corpus.