---
title: ReDial
canonical_url: "https://www.modelscope.cn/datasets/OpenDataLab/ReDial"
md_url: "https://www.modelscope.cn/datasets/OpenDataLab/ReDial.md"
repository: OpenDataLab/ReDial
last_updated: 2024-07-01
license: "[CC BY 4.0]"
storage_size: "5.5 MB"
domain:
  - publishDate
  - taskTypes
  - paperUrl
  - publishUrl
  - publisher
  - displayName
  - mediaTypes
  - labelTypes
tasks:
  - 2018
  - "Dialogue Generation"
  - "https://arxiv.org/pdf/1812.07617v2.pdf"
  - "https://redialdata.github.io/website/"
  - "Microsoft Research Montreal"
  - ReDial
  - Text
downloads: 61
stars: 0
---

# ReDial

> ReDial - OpenDataLab 在 ModelScope 开源的数据集。displayName: ReDial labelTypes: Text license: CC BY 4.0 mediaTypes: Text paperUrl: https://arxiv.org/pdf/1812.07617v2.pdf publishDate: "2018" publishUrl: https://redialdata.github.io/website/ publisher: Microsoft…

OpenDataLab/ReDial 是 ModelScope 魔搭社区上的2018、Dialogue Generation、https://arxiv.org/pdf/1812.07617v2.pdf数据集，涉及 publishDate、taskTypes、paperUrl 领域，存储大小 5.5 MB，采用 [CC BY 4.0] 许可。

- **Repository**: OpenDataLab/ReDial
- **License**: [CC BY 4.0]
- **Tasks**: 2018, Dialogue Generation, https://arxiv.org/pdf/1812.07617v2.pdf, https://redialdata.github.io/website/, Microsoft Research Montreal, ReDial, Text
- **Domain**: publishDate, taskTypes, paperUrl, publishUrl, publisher, displayName, mediaTypes, labelTypes
- **Storage size**: 5.5 MB
- **Downloads**: 61
- **Stars**: 0
- **Last updated**: 2024-07-01

Source: https://www.modelscope.cn/datasets/OpenDataLab/ReDial

---

displayName: ReDial
labelTypes:
- Text
license:
- CC BY 4.0
mediaTypes:
- Text
paperUrl: https://arxiv.org/pdf/1812.07617v2.pdf
publishDate: "2018"
publishUrl: https://redialdata.github.io/website/
publisher:
- Microsoft Research Montreal
tags:
- Dialogue
- Annotation
taskTypes:
- Visual Question Answering
- Dialogue Generation

---
# 数据集介绍
  ## 简介
  ReDial（推荐对话）是一个带注释的对话数据集，用户在其中相互推荐电影。该数据集包含以提供电影推荐为主题的超过 10,000 个对话。资料来源：迈向深度对话建议
  ## 引文
  ```
 @article{li2018towards,
 title={Towards deep conversational recommendations},
 author={Li, Raymond and Ebrahimi Kahou, Samira and Schulz, Hannes and Michalski, Vincent and Charlin, Laurent and Pal, Chris},
 journal={Advances in neural information processing systems},
 volume={31},
 year={2018}
 }
 ```
  
## Download dataset
:modelscope-code[]{type="git"}