SEACrowd/indolem_ntp

NTP (Next Tweet prediction) is one of the comprehensive Indonesian benchmarks that given a list of tweets and an option, we predict if the option is the next tweet or not. This task is similar to the next sentence prediction (NSP) task used to train BERT (Devlin et al., 2019). In NTP, each instance consists of a Twitter thread (containing 2 to 4 tweets) that we call the premise, and four possible options for the next tweet, one of which is the actual response from the original thread. Train: 5681 threads Development: 811 threads Test: 1890 threads