DraDDP: A Multimodal Multi-Party Dialogue Discourse Parsing Dataset

In three linesDraDDP is the first public multimodal dataset for discourse parsing in multi-party dialogues. Built from American TV dramas, it contains 495 dialogue segments (6,374 utterances, 9.1 hours of video). Benchmarks demonstrate the value of multimodal information for identifying dependency structures and relation types between utterances.

Summary generated by Claude — human-verified