HIT-TMG/Hansel|自然语言处理数据集|实体链接数据集

---
annotations_creators:
- crowdsourced
- found
language:
- zh
language_creators:
- found
- crowdsourced
license:
- cc-by-sa-4.0
multilinguality:
- monolingual
paperswithcode_id: hansel
pretty_name: Hansel
size_categories:
- 1M<n<10M
- 1K<n<10K
source_datasets:
- original
tags: []
task_categories:
- text-retrieval
task_ids:
- entity-linking-retrieval
dataset_info:
- config_name: wiki
features:
- name: id
dtype: string
- name: text
dtype: string
- name: start
dtype: int64
- name: end
dtype: int64
- name: mention
dtype: string
- name: gold_id
dtype: string
splits:
- name: train
- name: validation
- config_name: hansel-few-shot
features:
- name: id
dtype: string
- name: text
dtype: string
- name: start
dtype: int64
- name: end
dtype: int64
- name: mention
dtype: string
- name: gold_id
dtype: string
- name: source
dtype: string
- name: domain
dtype: string
splits:
- name: test
- config_name: hansel-zero-shot
features:
- name: id
dtype: string
- name: text
dtype: string
- name: start
dtype: int64
- name: end
dtype: int64
- name: mention
dtype: string
- name: gold_id
dtype: string
- name: source
dtype: string
- name: domain
dtype: string
splits:
- name: test
---

# Dataset Card for "Hansel"

## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Splits](#data-splits)
- [Citation](#citation)

## Dataset Description

- **Homepage:** https://github.com/HITsz-TMG/Hansel
- **Paper:** https://arxiv.org/abs/2207.13005

Hansel is a high-quality human-annotated Chinese entity linking (EL) dataset, focusing on tail entities and emerging entities:
- The test set contains Few-shot (FS) and zero-shot (ZS) slices, has 10K examples and uses Wikidata as the corresponding knowledge base.
- The training and validation sets are from Wikipedia hyperlinks, useful for large-scale pretraining of Chinese EL systems.

Please see our [WSDM 2023](https://www.wsdm-conference.org/2023/) paper [**"Hansel: A Chinese Few-Shot and Zero-Shot Entity Linking Benchmark"**](https://dl.acm.org/doi/10.1145/3539597.3570418) to learn more about our dataset.

For models in the paper and our processed knowledge base, please see our [Github repository](https://github.com/HITsz-TMG/Hansel).

## Dataset Structure

### Data Instances

{"id": "hansel-eval-zs-1463",
"text": "1905电影网讯 已经筹备了十余年的吉尔莫·德尔·托罗的《匹诺曹》，在上个月顺利被网飞公司买下，成为了流媒体巨头旗下的新片。近日，这部备受关注的影片确定了自己的档期：2021年。虽然具体时间未定，但影片却已经实实在在地向前迈出了一步。",
"start": 29,
"end": 32,
"mention": "匹诺曹",
"gold_id": "Q73895818",
"source": "https://www.1905.com/news/20181107/1325389.shtml",
"domain": "news"
}

### Data Splits

| | # Mentions | # Entities | Domain |
| ---- | ---- | ---- | ---- |
| Train | 9,879,813 | 541,058 | Wikipedia |
| Validation | 9,674 | 6,320 | Wikipedia |
| Hansel-FS | 5,260 | 2,720 | News, Social Media |
| Hansel-ZS | 4,715 | 4,046 | News, Social Media, E-books, etc.|

## Citation

If you find our dataset useful, please cite us.

```bibtex
@inproceedings{xu2022hansel,
author = {Xu, Zhenran and Shan, Zifei and Li, Yuxin and Hu, Baotian and Qin, Bing},
title = {Hansel: A Chinese Few-Shot and Zero-Shot Entity Linking Benchmark},
year = {2023},
publisher = {Association for Computing Machinery},
url = {https://doi.org/10.1145/3539597.3570418},
booktitle = {Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining},
pages = {832–840}
}
```

原始信息汇总

数据集概述：Hansel

数据集描述

• 名称：Hansel
• 语言：中文
• 许可：cc-by-sa-4.0
• 任务类别：text-retrieval
• 任务ID：entity-linking-retrieval
• 数据集大小：1M<n<10M 和 1K<n<10K
• 数据来源：原始数据
• 数据集特点：
  • 专注于尾实体和新兴实体
  • 测试集包含Few-shot (FS) 和 zero-shot (ZS) 切片，共10K示例，使用Wikidata作为知识库
  • 训练和验证集来自Wikipedia超链接

数据集结构

数据实例

• 字段：id, text, start, end, mention, gold_id, source, domain
• 示例： json { "id": "hansel-eval-zs-1463", "text": "1905电影网讯 已经筹备了十余年的吉尔莫·德尔·托罗的《匹诺曹》，在上个月顺利被网飞公司买下，成为了流媒体巨头旗下的新片。近日，这部备受关注的影片确定了自己的档期：2021年。虽然具体时间未定，但影片却已经实实在在地向前迈出了一步。", "start": 29, "end": 32, "mention": "匹诺曹", "gold_id": "Q73895818", "source": "https://www.1905.com/news/20181107/1325389.shtml", "domain": "news" }

数据分割

分割	提及数	实体数	领域
训练	9,879,813	541,058	Wikipedia
验证	9,674	6,320	Wikipedia
Hansel-FS	5,260	2,720	News, Social Media
Hansel-ZS	4,715	4,046	News, Social Media, E-books, etc.

引用信息

bibtex @inproceedings{xu2022hansel, author = {Xu, Zhenran and Shan, Zifei and Li, Yuxin and Hu, Baotian and Qin, Bing}, title = {Hansel: A Chinese Few-Shot and Zero-Shot Entity Linking Benchmark}, year = {2023}, publisher = {Association for Computing Machinery}, url = {https://doi.org/10.1145/3539597.3570418}, booktitle = {Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining}, pages = {832–840} }