SimDial
Synthetic task-oriented dialog generator with controllable complexity. It is released by Tiancheng Zhao (Tony) from Dialog Research Center, LTI, CMU
Install / Use
/learn @snakeztc/SimDialREADME
CMU SimDial: Synthetic Task-oriented Dialog Generator with Controllable Complexity
This is the dialog data used by our SIGDIAL 2018 paper: Zero-Shot Dialog Generation with Cross-Domain Latent Actions. See paper for details. The source code and data used for the paper can be found at here.
Prerequisites
- Python 2.7
- Numpy
- NLTK
- progressbar
Usage
Run the following code to generate dialog data for multiple domains that are defined in the multiple_domains.py script.
python multiple_domains.py
The data will be saved into two folders
test/ for testing data
train/ for training data
References
If you use any source codes or datasets included in this toolkit in your work, please cite the following paper. The bibtex are listed below:
@article{zhao2018zero,
title={Zero-Shot Dialog Generation with Cross-Domain Latent Actions},
author={Zhao, Tiancheng and Eskenazi, Maxine},
journal={arXiv preprint arXiv:1805.04803},
year={2018}
}
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