---
title: NatCat
canonical_url: "https://www.modelscope.cn/datasets/OmniData/NatCat"
md_url: "https://www.modelscope.cn/datasets/OmniData/NatCat.md"
repository: OmniData/NatCat
last_updated: 2024-07-09
license: "[CC0 1.0]"
storage_size: "1.8 GB"
domain:
  - publishDate
  - paperUrl
  - publishUrl
  - displayName
  - publisher
  - taskTypes
tasks:
  - 2021
  - "https://arxiv.org/pdf/2009.14335v2.pdf"
  - "https://github.com/ZeweiChu/NatCat"
  - NatCat
  - "Rutgers University"
  - "Text Classification"
downloads: 39
stars: 0
---

# NatCat

> NatCat - OmniData 在 ModelScope 开源的数据集。displayName: NatCat license: CC0 1.0 paperUrl: https://arxiv.org/pdf/2009.14335v2.pdf publishDate: "2021" publishUrl: https://github.com/ZeweiChu/NatCat publisher: University of Chicago Toyota Technological Institute…

OmniData/NatCat 是 ModelScope 魔搭社区上的2021、https://arxiv.org/pdf/2009.14335v2.pdf、https://github.com/ZeweiChu/NatCat数据集，涉及 publishDate、paperUrl、publishUrl 领域，存储大小 1.8 GB，采用 [CC0 1.0] 许可。

- **Repository**: OmniData/NatCat
- **License**: [CC0 1.0]
- **Tasks**: 2021, https://arxiv.org/pdf/2009.14335v2.pdf, https://github.com/ZeweiChu/NatCat, NatCat, Rutgers University, Text Classification
- **Domain**: publishDate, paperUrl, publishUrl, displayName, publisher, taskTypes
- **Storage size**: 1.8 GB
- **Downloads**: 39
- **Stars**: 0
- **Last updated**: 2024-07-09

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

---

displayName: NatCat
license:
- CC0 1.0
paperUrl: https://arxiv.org/pdf/2009.14335v2.pdf
publishDate: "2021"
publishUrl: https://github.com/ZeweiChu/NatCat
publisher:
- University of Chicago
- Toyota Technological Institute
- Rutgers University
tags:
- Text
taskTypes:
- Text Classification

---
# 数据集介绍
  ## 简介
  来自三个在线资源的通用文本分类数据集 (NatCat)：Wikipedia、Reddit 和 Stack Exchange。这些数据集由源自社区自然发生的手动管理的文档-类别对组成。
  ## 引文
  ```
@article{chu2020natcat,
  title={NatCat: Weakly Supervised Text Classification with Naturally Annotated Resources},
  author={Chu, Zewei and Stratos, Karl and Gimpel, Kevin},
  journal={arXiv preprint arXiv:2009.14335},
  year={2020}
}
```
  
## Download dataset
:modelscope-code[]{type="git"}