DialogCC: An Automated Pipeline for Creating High-Quality Multi-Modal Dialogue Dataset

arXiv:2212.04119v2 Announce Type: replace
Abstract: As sharing images in an instant message is a crucial factor, there has been active research on learning an image-text multi-modal dialogue models. However, training a well-generalized multi-modal dialogue model remains challenging due to the low quality and limited diversity of images per dialogue in existing multi-modal dialogue datasets. In this paper, we propose an automated pipeline to construct a multi-modal dialogue dataset, ensuring both dialogue quality and image diversity without requiring minimum human effort. …

abstract arxiv automated cs.cl cs.cv dataset dialogue diversity generalized however image images instant low modal multi-modal per pipeline quality research text training type