Datasets:
Modalities:
Text
Sub-tasks:
dialogue-generation
Languages:
Chinese
Size:
1M<n<10M
ArXiv:
Tags:
License:
annotations_creators: | |
- other | |
language_creators: | |
- other | |
languages: | |
- zh | |
licenses: | |
- mit | |
multilinguality: | |
- monolingual | |
paperswithcode_id: personaldialog | |
pretty_name: "PersonalDialog" | |
size_categories: | |
- 10M<n<100M | |
source_datasets: | |
- original | |
task_categories: | |
- conversational | |
task_ids: | |
- dialogue-generation | |
# Dataset Card for PersonalDialog | |
## Table of Contents | |
- [Dataset Card for PersonalDialog](#dataset-card-for-personaldialog) | |
- [Table of Contents](#table-of-contents) | |
- [Dataset Description](#dataset-description) | |
- [Dataset Summary](#dataset-summary) | |
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) | |
- [Languages](#languages) | |
- [Dataset Structure](#dataset-structure) | |
- [Data Instances](#data-instances) | |
- [Data Fields](#data-fields) | |
- [Data Splits](#data-splits) | |
- [Dataset Creation](#dataset-creation) | |
- [Curation Rationale](#curation-rationale) | |
- [Source Data](#source-data) | |
- [Initial Data Collection and Normalization](#initial-data-collection-and-normalization) | |
- [Who are the source language producers?](#who-are-the-source-language-producers) | |
- [Annotations](#annotations) | |
- [Annotation process](#annotation-process) | |
- [Who are the annotators?](#who-are-the-annotators) | |
- [Personal and Sensitive Information](#personal-and-sensitive-information) | |
- [Considerations for Using the Data](#considerations-for-using-the-data) | |
- [Social Impact of Dataset](#social-impact-of-dataset) | |
- [Discussion of Biases](#discussion-of-biases) | |
- [Other Known Limitations](#other-known-limitations) | |
- [Additional Information](#additional-information) | |
- [Dataset Curators](#dataset-curators) | |
- [Licensing Information](#licensing-information) | |
- [Citation Information](#citation-information) | |
- [Contributions](#contributions) | |
## Dataset Description | |
- **Homepage:** https://www.zhengyinhe.com/datasets/ | |
- **Repository:** https://github.com/silverriver/PersonalDilaog | |
- **Paper:** https://arxiv.org/abs/1901.09672 | |
### Dataset Summary | |
The PersonalDialog dataset is a large-scale multi-turn Chinese dialogue dataset containing various traits from a large number of speakers. | |
We are releasing about 5M sessions of carefully filtered dialogues. | |
Each utterance in PersonalDialog is associated with a speaker marked with traits like Gender, Location, Interest Tags. | |
### Supported Tasks and Leaderboards | |
- dialogue-generation: The dataset can be used to train a model for generating dialogue responses. | |
- response-retrieval: The dataset can be used to train a reranker model that can be used to implement a retrieval-based dialogue model. | |
### Languages | |
PersonalDialog is in Chinese | |
PersonalDialog中的对话是中文的 | |
## Dataset Structure | |
### Data Instances | |
`train` split: | |
```json | |
{ | |
"dialog": ["那么 晚", "加班 了 刚 到 家 呀 !", "吃饭 了 么", "吃 过 了 !"], | |
"profile": [ | |
{ | |
"tag": ["间歇性神经病", "爱笑的疯子", "他们说我犀利", "爱做梦", "自由", "旅游", "学生", "双子座", "好性格"], | |
"loc": "福建 厦门", "gender": "male" | |
}, { | |
"tag": ["设计师", "健康养生", "热爱生活", "善良", "宅", "音樂", "时尚"], | |
"loc": "山东 济南", "gender": "male" | |
} | |
], | |
"uid": [0, 1, 0, 1], | |
} | |
``` | |
`dev` and `test` split: | |
```json | |
{ | |
"dialog": ["没 人性 啊 !", "可以 来 组织 啊", "来 上海 陪姐 打 ?"], | |
"profile": [ | |
{"tag": [""], "loc": "上海 浦东新区", "gender": "female"}, | |
{"tag": ["嘉庚", "keele", "leicester", "UK", "泉州五中"], "loc": "福建 泉州", "gender": "male"}, | |
], | |
"uid": [0, 1, 0], | |
"responder_profile": {"tag": ["嘉庚", "keele", "leicester", "UK", "泉州五中"], "loc": "福建 泉州", "gender": "male"}, | |
"golden_response": "吴经理 派车来 小 泉州 接 么 ?", | |
"is_biased": true, | |
} | |
``` | |
### Data Fields | |
- `dialog` (list of strings): List of utterances consisting of a dialogue. | |
- `profile` (list of dicts): List of profiles associated with each speaker. | |
- `tag` (list of strings): List of tags associated with each speaker. | |
- `loc` (string): Location of each speaker. | |
- `gender` (string): Gender of each speaker. | |
- `uid` (list of int): Speaker id for each utterance in the dialogue. | |
- `responder_profile` (dict): Profile of the responder. (Only available in `dev` and `test` split) | |
- `golden_response` (str): Response of the responder. (Only available in `dev` and `test` split) | |
- `id_biased` (bool): Whether the dialogue is guranteed to be persona related or not. (Only available in `dev` and `test` split) | |
### Data Splits | |
|train|valid|test| | |
|---:|---:|---:| | |
|5,438,165 | 10,521 | 10,523 | | |
## Dataset Creation | |
### Curation Rationale | |
[Needs More Information] | |
### Source Data | |
#### Initial Data Collection and Normalization | |
[Needs More Information] | |
#### Who are the source language producers? | |
[Needs More Information] | |
### Annotations | |
#### Annotation process | |
[Needs More Information] | |
#### Who are the annotators? | |
[Needs More Information] | |
### Personal and Sensitive Information | |
[Needs More Information] | |
## Considerations for Using the Data | |
### Social Impact of Dataset | |
[Needs More Information] | |
### Discussion of Biases | |
[Needs More Information] | |
### Other Known Limitations | |
[Needs More Information] | |
## Additional Information | |
### Dataset Curators | |
[Needs More Information] | |
### Licensing Information | |
MIT License | |
Copyright (c) 2019 silver | |
Permission is hereby granted, free of charge, to any person obtaining a copy | |
of this software and associated documentation files (the "Software"), to deal | |
in the Software without restriction, including without limitation the rights | |
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell | |
copies of the Software, and to permit persons to whom the Software is | |
furnished to do so, subject to the following conditions: | |
The above copyright notice and this permission notice shall be included in all | |
copies or substantial portions of the Software. | |
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR | |
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, | |
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE | |
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER | |
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, | |
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE | |
SOFTWARE. | |
### Citation Information | |
```bibtex | |
@article{zheng2019personalized, | |
title = {Personalized dialogue generation with diversified traits}, | |
author = {Zheng, Yinhe and Chen, Guanyi and Huang, Minlie and Liu, Song and Zhu, Xuan}, | |
journal = {arXiv preprint arXiv:1901.09672}, | |
year = {2019} | |
} | |
@inproceedings{zheng2020pre, | |
title = {A pre-training based personalized dialogue generation model with persona-sparse data}, | |
author = {Zheng, Yinhe and Zhang, Rongsheng and Huang, Minlie and Mao, Xiaoxi}, | |
booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence}, | |
volume = {34}, | |
number = {05}, | |
pages = {9693--9700}, | |
year = {2020} | |
} | |
``` | |
### Contributions | |
Thanks to [Yinhe Zheng](https://github.com/silverriver) for adding this dataset. | |