Datasets:
Tasks:
Text Retrieval
Sub-tasks:
entity-linking-retrieval
Languages:
Chinese
Size:
1M - 10M
ArXiv:
License:
annotations_creators: | |
- crowdsourced | |
- found | |
configs: | |
- aidayago2 | |
- cweb | |
- eli5 | |
- fever | |
- hotpotqa | |
- nq | |
- structured_zeroshot | |
- trex | |
- triviaqa_support_only | |
- wned | |
- wow | |
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 | |
# Hansel: A Chinese Few-Shot and Zero-Shot Entity Linking Benchmark | |
## Overview | |
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**](https://arxiv.org/abs/2207.13005) to learn more about our dataset. | |
## Dataset | |
### Data Statistics | |
| | # 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.| | |
### Data Format | |
{"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" | |
} | |
## Citation | |
If you use our dataset in your work, please cite us. | |
```bibtex | |
@misc{xu2022hansel, | |
title = {Hansel: A Chinese Few-Shot and Zero-Shot Entity Linking Benchmark}, | |
author = {Xu, Zhenran and Shan, Zifei and Li, Yuxin and Hu, Baotian and Qin, Bing}, | |
publisher = {arXiv}, | |
year = {2022}, | |
url = {https://arxiv.org/abs/2207.13005} | |
} | |
``` | |