| --- |
| 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 |
|
|
