ViGGO: NLG for Video Game Conversations

If you use this data in your research, please refer to and cite:  ViGGO: A Video Game Corpus for Data-to-Text Generation in Open-Domain Conversation. J. Juraska, K. K. Bowden, and M. Walker. INLG 2019. Tokyo, Japan.

Overview: The ViGGO corpus is a set of 6,900 meaning representation to natural language utterance pairs in the video game domain. The meaning representations are of 9 different dialogue acts.

Data: The data available for download is a zip of 3 CSVs files (train/valid/test) containing meaning representations and their corresponding natural language utterances.

Download: Fill out the following form to download the ViGGO corpus.