All recorded dialogues with the total length of 21 hours have been manually transcribed and annotated with speech acts and semantic labels at each turn level.
semantic Label Given a sequence of annotated intent tags and associated attributes for each history utterance, we employ a BLsTM to model the explicit semantics: where intent t is the vector after one-hot encoding for representing the annotated intent and the attribute features.