• Corpus ID: 235358381

BiToD: A Bilingual Multi-Domain Dataset For Task-Oriented Dialogue Modeling

@article{Lin2021BiToDAB,
  title={BiToD: A Bilingual Multi-Domain Dataset For Task-Oriented Dialogue Modeling},
  author={Zhaojiang Lin and Andrea Madotto and Genta Indra Winata and Peng Xu and Feijun Jiang and Yuxiang Hu and Chen Shi and Pascale Fung},
  journal={ArXiv},
  year={2021},
  volume={abs/2106.02787}
}
Task-oriented dialogue (ToD) benchmarks provide an important avenue to measure progress and develop better conversational agents. However, existing datasets for end-to-end ToD modeling are limited to a single language, hindering the development of robust end-to-end ToD systems for multilingual countries and regions. Here we introduce BiToD2, the first bilingual multi-domain dataset for end-to-end task-oriented dialogue modeling. BiToD contains over 7k multi-domain dialogues (144k utterances… 

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