---
title: DialogSum
canonical_url: "https://www.modelscope.cn/datasets/OmniData/DialogSum"
md_url: "https://www.modelscope.cn/datasets/OmniData/DialogSum.md"
repository: OmniData/DialogSum
last_updated: 2024-07-01
license: "[MIT]"
storage_size: "13 MB"
domain:
  - publishDate
  - displayName
  - taskTypes
  - labelTypes
  - paperUrl
  - publishUrl
  - publisher
  - mediaTypes
tasks:
  - 2021
  - DialogSum
  - "Dialogue Generation"
  - "English Corpus"
  - "https://arxiv.org/pdf/2105.06762v4.pdf"
  - "https://github.com/cylnlp/DialogSum"
  - "Jilin University"
  - Text
downloads: 93
stars: 0
---

# DialogSum

> DialogSum - OmniData 在 ModelScope 开源的数据集。displayName: DialogSum labelTypes: English Corpus license: MIT mediaTypes: Text paperUrl: https://arxiv.org/pdf/2105.06762v4.pdf publishDate: "2021" publishUrl: https://github.com/cylnlp/DialogSum publisher:…

OmniData/DialogSum 是 ModelScope 魔搭社区上的2021、DialogSum、Dialogue Generation数据集，涉及 publishDate、displayName、taskTypes 领域，存储大小 13 MB，采用 [MIT] 许可。

- **Repository**: OmniData/DialogSum
- **License**: [MIT]
- **Tasks**: 2021, DialogSum, Dialogue Generation, English Corpus, https://arxiv.org/pdf/2105.06762v4.pdf, https://github.com/cylnlp/DialogSum, Jilin University, Text
- **Domain**: publishDate, displayName, taskTypes, labelTypes, paperUrl, publishUrl, publisher, mediaTypes
- **Storage size**: 13 MB
- **Downloads**: 93
- **Stars**: 0
- **Last updated**: 2024-07-01

Source: https://www.modelscope.cn/datasets/OmniData/DialogSum

---

displayName: DialogSum
labelTypes:
- English Corpus
license:
- MIT
mediaTypes:
- Text
paperUrl: https://arxiv.org/pdf/2105.06762v4.pdf
publishDate: "2021"
publishUrl: https://github.com/cylnlp/DialogSum
publisher:
- University of Edinburgh
- Zhejiang University
- Westlake University
- Westlake Institute for Advanced Study
- Jilin University
tags:
- Dialogue
taskTypes:
- Text Summarization/Simplication
- Abstractive Text Summarization
- Dialogue Generation

---
# 数据集介绍
  ## 简介
  DialogSum 是一个大规模的对话摘要数据集，由 13,460 个对话以及相应的手动标记的摘要和主题组成。我们从三个公共对话语料库中收集 DialogSum 的对话数据，即 Dailydialog (Li et al., 2017)、DREAM (Sun et al., ., 2019) 和 MuTual (Cui et al., 2019)，以及一个英语口语练习网站。这些数据集包含面对面的口语对话，涵盖广泛的日常生活主题，包括学校教育、工作、药物、购物、休闲、旅行。大多数对话发生在朋友、同事之间以及服务提供商和客户之间。_x000D_
_x000D_
与之前的数据集相比，DialogSum 的对话有明显的特点：_x000D_
_x000D_
丰富的现实生活场景下，包括更多样化的面向任务的场景；_x000D_
有清晰的沟通模式和意图，作为总结来源很有价值；_x000D_
有一个合理的长度，可以满足自动摘要的目的。
  ## 引文
  ```
@article{chen2021dialogsum,
  title={DialogSum: A real-life scenario dialogue summarization dataset},
  author={Chen, Yulong and Liu, Yang and Chen, Liang and Zhang, Yue},
  journal={arXiv preprint arXiv:2105.06762},
  year={2021}
}
```
  
## Download dataset
:modelscope-code[]{type="git"}