DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection for Conversational AI

Jianguo Zhang 0005, Kun Qian, Zhiwei Liu, Shelby Heinecke, Rui Meng, Ye Liu 0006, Zhou Yu, Huan Wang, Silvio Savarese, Caiming Xiong. DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection for Conversational AI. In Yvette Graham, Matthew Purver, editors, Findings of the Association for Computational Linguistics: EACL 2024, St. Julian's, Malta, March 17-22, 2024. pages 2299-2315, Association for Computational Linguistics, 2024. [doi]

@inproceedings{ZhangQLHMLYWSX24,
  title = {DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection for Conversational AI},
  author = {Jianguo Zhang 0005 and Kun Qian and Zhiwei Liu and Shelby Heinecke and Rui Meng and Ye Liu 0006 and Zhou Yu and Huan Wang and Silvio Savarese and Caiming Xiong},
  year = {2024},
  url = {https://aclanthology.org/2024.findings-eacl.152},
  researchr = {https://researchr.org/publication/ZhangQLHMLYWSX24},
  cites = {0},
  citedby = {0},
  pages = {2299-2315},
  booktitle = {Findings of the Association for Computational Linguistics: EACL 2024, St. Julian's, Malta, March 17-22, 2024},
  editor = {Yvette Graham and Matthew Purver},
  publisher = {Association for Computational Linguistics},
  isbn = {979-8-89176-093-6},
}