---
license: mit
dataset_info:
  features:
  - name: 'Unnamed: 0'
    dtype: int64
  - name: Unit
    dtype: string
  - name: Turn
    dtype: int64
  - name: B4
    dtype: int64
  - name: B2
    dtype: string
  splits:
  - name: FullDialog
    num_bytes: 3043959
    num_examples: 20932
  download_size: 1186349
  dataset_size: 3043959
configs:
- config_name: default
  data_files:
  - split: FullDialog
    path: data/FullDialog-*
---
Persuasion for Good: Towards a Personalized Persuasive Dialogue System for Social Good

Dataset and Codebase for Persuasion for Good: Towards a Personalized Persuasive Dialogue System for Social Good
published as a long paper in ACL 2019.
https://arxiv.org/abs/1906.06725
If you use the datasets or any source codes included in this repository in your
work, please cite the following paper. The bibtex is listed below:

@article{wang2019persuasion,
 title={Persuasion for Good: Towards a Personalized Persuasive Dialogue System for Social Good},
 author={Wang, Xuewei and Shi, Weiyan and Kim, Richard and Oh, Yoojung and Yang, Sijia and Zhang, Jingwen and Yu, Zhou},
 journal={arXiv preprint arXiv:1906.06725},
 year={2019}
}

B2: Dialogue ID
B4: Role (0 means persuader, 1 means persuadee)
Turn: Turn index
Unit: Sentence in utterance