---
title: GIF_Reply_Dataset
canonical_url: "https://www.modelscope.cn/datasets/OmniData/GIF_Reply_Dataset"
md_url: "https://www.modelscope.cn/datasets/OmniData/GIF_Reply_Dataset.md"
repository: OmniData/GIF_Reply_Dataset
last_updated: 2024-07-03
license: "[GPL-3.0]"
storage_size: "141 MB"
domain:
  - publishDate
  - displayName
  - paperUrl
  - publishUrl
  - taskTypes
  - publisher
  - mediaTypes
tasks:
  - 2021
  - "GIF Reply Dataset"
  - "https://arxiv.org/pdf/2109.12212v2.pdf"
  - "https://github.com/xingyaoww/gif-reply/blob/main/data/README.md"
  - "Multimodal Gif Dialog"
  - "University of Michigan"
  - Video
downloads: 48
stars: 0
---

# GIF_Reply_Dataset

> GIF_Reply_Dataset - OmniData 在 ModelScope 开源的数据集。displayName: GIF Reply Dataset license: GPL-3.0 mediaTypes: Video paperUrl: https://arxiv.org/pdf/2109.12212v2.pdf publishDate: "2021" publishUrl:…

OmniData/GIF_Reply_Dataset 是 ModelScope 魔搭社区上的2021、GIF Reply Dataset、https://arxiv.org/pdf/2109.12212v2.pdf数据集，涉及 publishDate、displayName、paperUrl 领域，存储大小 141 MB，采用 [GPL-3.0] 许可。

- **Repository**: OmniData/GIF_Reply_Dataset
- **License**: [GPL-3.0]
- **Tasks**: 2021, GIF Reply Dataset, https://arxiv.org/pdf/2109.12212v2.pdf, https://github.com/xingyaoww/gif-reply/blob/main/data/README.md, Multimodal Gif Dialog, University of Michigan, Video
- **Domain**: publishDate, displayName, paperUrl, publishUrl, taskTypes, publisher, mediaTypes
- **Storage size**: 141 MB
- **Downloads**: 48
- **Stars**: 0
- **Last updated**: 2024-07-03

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

---

displayName: GIF Reply Dataset
license:
- GPL-3.0
mediaTypes:
- Video
paperUrl: https://arxiv.org/pdf/2109.12212v2.pdf
publishDate: "2021"
publishUrl: https://github.com/xingyaoww/gif-reply/blob/main/data/README.md
publisher:
- University of Michigan
tags:
- Dialogue Text
taskTypes:
- Multimodal Gif Dialog

---
# 数据集介绍
  ## 简介
  发布的 GIF 回复数据集包含 1,562,701 次 Twitter 上的真实文本 - GIF 对话。在这些对话中，使用了 115,586 个独特的 GIF。元数据，包括 OCR 提取的文本、带注释的标签和对象名称，也可用于该数据集中的一些 GIF。有关数据集的更多详细信息，请查看我们的 Github 存储库 (https://github.com/xingyaoww/gif-reply/) 和我们的论文 (https://arxiv.org/pdf/2109.12212.pdf)，
  ## 引文
  ```
@article{wang2021animated,
  title={An animated picture says at least a thousand words: Selecting Gif-based Replies in Multimodal Dialog},
  author={Wang, Xingyao and Jurgens, David},
  journal={arXiv preprint arXiv:2109.12212},
  year={2021}
}
```
  
## Download dataset
:modelscope-code[]{type="git"}