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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/SimDial
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

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}
}

Related Skills

View on GitHub
GitHub Stars50
CategoryEducation
Updated1y ago
Forks16

Languages

Python

Security Score

85/100

Audited on Jan 19, 2025

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