README.md

metadata

annotations_creators:
  - no-annotation
language_creators:
  - found
language:
  - zh
license:
  - other
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
  • Table of Contents
  • Dataset Description
    • Dataset Summary
    • Supported Tasks and Leaderboards
    • Languages
  • Dataset Structure
    • Data Instances
    • Data Fields
    • Data Splits
  • Dataset Creation
    • Curation Rationale
    • Source Data
      • Initial Data Collection and Normalization
      • Who are the source language producers?
    • Annotations
      • Annotation process
      • Who are the annotators?
    • Personal and Sensitive Information
  • Considerations for Using the Data
    • Social Impact of Dataset
    • Discussion of Biases
    • Other Known Limitations
  • Additional Information
    • Dataset Curators
    • Licensing Information
    • Citation Information
    • 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:

{
  "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:

{
  "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

other-weibo

This dataset is collected from Weibo. You can refer to the detailed policy required to use this dataset. Please restrict the usage of this dataset to non-commerical purposes.

Citation Information

@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 for adding this dataset.