Datasets:
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