---
title: ufet
canonical_url: "https://www.modelscope.cn/datasets/izhx404/ufet"
md_url: "https://www.modelscope.cn/datasets/izhx404/ufet.md"
repository: izhx404/ufet
chinese_name: "UFET 英文超细粒度实体分类"
last_updated: 2023-01-05
license: other
storage_size: "1.7 MB"
domain:
  - text
tasks:
  - token-classification
language:
  - en
type:
  - typing
downloads: 9796
stars: 2
---

# ufet

> ufet - izhx404 在 ModelScope 开源的数据集。Ultra-Fine Entity Typing

izhx404/ufet 是 ModelScope 魔搭社区上的token-classification数据集，涉及 text 领域，存储大小 1.7 MB，采用 other 许可。

- **Repository**: izhx404/ufet
- **License**: other
- **Tasks**: token-classification
- **Domain**: text
- **Storage size**: 1.7 MB
- **Downloads**: 9796
- **Stars**: 2
- **Last updated**: 2023-01-05

Source: https://www.modelscope.cn/datasets/izhx404/ufet

---

# UFET 英文超细粒度实体分类 数据集

## 数据集概述
ufet 数据集是从论文 [Ultra-Fine Entity Typing](https://aclanthology.org/P18-1009/) 所发布的数据集处理得到的。

### 数据集简介
引入了一个新的实体类型任务：给定一个带有实体提及的句子，目标是预测一组描述目标实体适当类型的自由形式的短语（例如摩天大楼、词曲作者或犯罪分子）。其中实体提及不限于命名实体，还包括代词提及和普通名词表达。

### 数据集的格式和结构
数据格式采用jsonline格式，一个具体case的例子如下：

```
{
    "text":"She said the Broad - Burkle offer takes on a \" shocking \" amount of debt and the Chandlers , despite their bid , do not really want to run the business .",
    "label":[
        {
            "start":0,
            "end":1,
            "type":[
                "female",
                "analyst",
                "expert",
                "official",
                "spokeswoman",
                "spokesperson",
                "person"
            ]
        }
    ]
}
```

## 数据集版权信息

CC BY-NC-SA 4.0


## 引用方式
```bib
@inproceedings{choi-etal-2018-ultra,
    title = "Ultra-Fine Entity Typing",
    author = "Choi, Eunsol  and
      Levy, Omer  and
      Choi, Yejin  and
      Zettlemoyer, Luke",
    booktitle = "Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)",
    month = jul,
    year = "2018",
    address = "Melbourne, Australia",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/P18-1009",
    doi = "10.18653/v1/P18-1009",
    pages = "87--96",
}
```