|
|
--- |
|
|
dataset_info: |
|
|
features: |
|
|
- name: document |
|
|
dtype: string |
|
|
- name: label |
|
|
dtype: string |
|
|
splits: |
|
|
- name: train |
|
|
num_bytes: 7262129 |
|
|
num_examples: 78977 |
|
|
- name: valid |
|
|
num_bytes: 795466 |
|
|
num_examples: 8776 |
|
|
- name: test |
|
|
num_bytes: 2017989 |
|
|
num_examples: 21939 |
|
|
download_size: 7210566 |
|
|
dataset_size: 10075584 |
|
|
configs: |
|
|
- config_name: default |
|
|
data_files: |
|
|
- split: train |
|
|
path: data/train-* |
|
|
- split: valid |
|
|
path: data/valid-* |
|
|
- split: test |
|
|
path: data/test-* |
|
|
--- |
|
|
|
|
|
Reference: [https://github.com/adlnlp/K-MHaS](https://github.com/adlnlp/K-MHaS) |
|
|
``` |
|
|
@inproceedings{lee-etal-2022-k, |
|
|
title = "K-{MH}a{S}: A Multi-label Hate Speech Detection Dataset in {K}orean Online News Comment", |
|
|
author = "Lee, Jean and |
|
|
Lim, Taejun and |
|
|
Lee, Heejun and |
|
|
Jo, Bogeun and |
|
|
Kim, Yangsok and |
|
|
Yoon, Heegeun and |
|
|
Han, Soyeon Caren", |
|
|
booktitle = "Proceedings of the 29th International Conference on Computational Linguistics", |
|
|
month = oct, |
|
|
year = "2022", |
|
|
address = "Gyeongju, Republic of Korea", |
|
|
publisher = "International Committee on Computational Linguistics", |
|
|
url = "https://aclanthology.org/2022.coling-1.311", |
|
|
pages = "3530--3538", |
|
|
abstract = "Online hate speech detection has become an important issue due to the growth of online content, but resources in languages other than English are extremely limited. We introduce K-MHaS, a new multi-label dataset for hate speech detection that effectively handles Korean language patterns. The dataset consists of 109k utterances from news comments and provides a multi-label classification using 1 to 4 labels, and handles subjectivity and intersectionality. We evaluate strong baselines on K-MHaS. KR-BERT with a sub-character tokenizer outperforms others, recognizing decomposed characters in each hate speech class.", |
|
|
} |
|
|
``` |
|
|
|
