Data and codes for the paper "CrossWOZ: A Large-Scale Chinese Cross-Domain Task-Oriented Dialogue Dataset" (accepted by TACL)

please install ConvLab-2 first (note that this is a minimum version for CrossWOZ and ConvLab-2 will be officially released soon):

pip install -e .

Data: data/crosswoz

Code:

• BERTNLU: convlab2/nlu/jointBERT/crosswoz
• RuleDST: convlab2/dst/rule/crosswoz
• TRADE: convlab2/dst/trade/crosswoz
• SL policy: convlab2/policy/mle/crosswoz
• SCLSTM: convlab2/nlg/sclstm/crosswoz
• TemplateNLG: convlab2/nlg/template/crosswoz
• Simulator: convlab2/policy/rule/crosswoz

Please kindly cite our paper if this paper and the dataset are helpful.

@article{zhu2020crosswoz,
  author = {Qi Zhu and Kaili Huang and Zheng Zhang and Xiaoyan Zhu and Minlie Huang},
  title = {Cross{WOZ}: A Large-Scale Chinese Cross-Domain Task-Oriented Dialogue Dataset},
  journal = {Transactions of the Association for Computational Linguistics},
  year = {2020}
}