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ViGGO: NLG for Video Game Conversations
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.
HuggingFace: https://huggingface.co/datasets/GEM/viggo
Website last updated June 21, 2024.