---
title: Resume_NER
canonical_url: "https://www.modelscope.cn/datasets/OmniData/Resume_NER"
md_url: "https://www.modelscope.cn/datasets/OmniData/Resume_NER.md"
repository: OmniData/Resume_NER
last_updated: 2024-06-30
license: "[MIT]"
storage_size: "328 KB"
domain:
  - publishDate
  - labelTypes
  - taskTypes
  - paperUrl
  - publishUrl
  - displayName
  - publisher
  - mediaTypes
tasks:
  - 2018
  - "Chinese Corpus"
  - "Chinese Named Entity Recognition"
  - "https://arxiv.org/pdf/1805.02023v4.pdf"
  - "https://github.com/singhsourabh/Resume-NER"
  - "Resume NER"
  - "Singapore University of Technology and Design"
  - Text
downloads: 228
stars: 0
---

# Resume_NER

> Resume_NER - OmniData 在 ModelScope 开源的数据集。displayName: Resume NER labelTypes: Chinese Corpus license: MIT mediaTypes: Text paperUrl: https://arxiv.org/pdf/1805.02023v4.pdf publishDate: "2018" publishUrl: https://github.com/singhsourabh/Resume-NER publisher:…

OmniData/Resume_NER 是 ModelScope 魔搭社区上的2018、Chinese Corpus、Chinese Named Entity Recognition数据集，涉及 publishDate、labelTypes、taskTypes 领域，存储大小 328 KB，采用 [MIT] 许可。

- **Repository**: OmniData/Resume_NER
- **License**: [MIT]
- **Tasks**: 2018, Chinese Corpus, Chinese Named Entity Recognition, https://arxiv.org/pdf/1805.02023v4.pdf, https://github.com/singhsourabh/Resume-NER, Resume NER, Singapore University of Technology and Design, Text
- **Domain**: publishDate, labelTypes, taskTypes, paperUrl, publishUrl, displayName, publisher, mediaTypes
- **Storage size**: 328 KB
- **Downloads**: 228
- **Stars**: 0
- **Last updated**: 2024-06-30

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

---

displayName: Resume NER
labelTypes:
- Chinese Corpus
license:
- MIT
mediaTypes:
- Text
paperUrl: https://arxiv.org/pdf/1805.02023v4.pdf
publishDate: "2018"
publishUrl: https://github.com/singhsourabh/Resume-NER
publisher:
- Singapore University of Technology and Design
tags:
- Entity
taskTypes:
- Chinese Named Entity Recognition

---
# 数据集介绍
  ## 简介
  简历包含八个细粒度的实体类别——分数从 74.5% 到 86.88%。
  ## 类定义
  null
  ## 引文
  ```
@article{zhang2018chinese,
 title={Chinese NER using lattice LSTM},
 author={Zhang, Yue and Yang, Jie},
 journal={arXiv preprint arXiv:1805.02023},
 year={2018}
}
```
  
## Download dataset
:modelscope-code[]{type="git"}