CORD-19

displayName: CORD-19
license:
- CORD-19 Custom
mediaTypes:
- Text
paperUrl: https://arxiv.org/pdf/2004.10706v4.pdf
publishDate: "2020"
publishUrl: https://allenai.org/data/cord-19
publisher:
- Allen Institute for Artificial Intelligence
- IBM Research
- Microsoft Research
tags:
- CORD-19
taskTypes:
- Visual Question Answering
- Text Mining
- Data Mining
- Text Classification

---
# 数据集介绍
## 简介
CORD-19 是一个免费资源，包含数万篇关于 COVID-19、SARS-CoV-2 和相关冠状病毒的学术文章，供全球研究界使用。
## 引文
```
@article{wang2020cord,
title={Cord-19: The covid-19 open research dataset},
author={Wang, Lucy Lu and Lo, Kyle and Chandrasekhar, Yoganand and Reas, Russell and Yang, Jiangjiang and Eide, Darrin and Funk, Kathryn and Kinney, Rodney and Liu, Ziyang and Merrill, William and others},
journal={ArXiv},
year={2020},
publisher={ArXiv}
}

```

## Download dataset
:modelscope-code[]{type="git"}

显示名称：CORD-19
许可证：CORD-19 专用许可证
媒体类型：文本
论文链接：https://arxiv.org/pdf/2004.10706v4.pdf
发布日期："2020"
发布页面：https://allenai.org/data/cord-19
发布机构：人工智能艾伦研究所（Allen Institute for Artificial Intelligence）、IBM研究院（IBM Research）、微软研究院（Microsoft Research）
标签：CORD-19
任务类型：视觉问答（Visual Question Answering）、文本挖掘（Text Mining）、数据挖掘（Data Mining）、文本分类（Text Classification）

---

# 数据集简介
## 简介
CORD-19 是一款面向全球科研共同体的免费学术资源，收录了数万篇围绕 COVID-19、SARS-CoV-2 及相关冠状病毒的学术文章，可供全球研究界使用。
## 引用

@article{wang2020cord,
title={Cord-19: The covid-19 open research dataset},
author={Wang, Lucy Lu and Lo, Kyle and Chandrasekhar, Yoganand and Reas, Russell and Yang, Jiangjiang and Eide, Darrin and Funk, Kathryn and Kinney, Rodney and Liu, Ziyang and Merrill, William and others},
journal={ArXiv},
year={2020},
publisher={ArXiv}
}

## 数据集下载
:modelscope-code[]{type="git"}