Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
csv
Languages:
Korean
Size:
10K - 100K
ArXiv:
License:
annotations_creators: | |
- crowdsourced | |
- crowd-generated | |
language_creators: | |
- found | |
languages: | |
- ko | |
licenses: | |
- cc-by-sa-4.0 | |
multilinguality: | |
- monolingual | |
paperswithcode_id: korean-hatespeech-dataset | |
pretty_name: 'APEACH' | |
size_categories: | |
- 1K<n<10K | |
source_datasets: | |
- original | |
task_categories: | |
- text-classification | |
task_ids: | |
- binary-classification | |
# Dataset for project: kor_hate_eval | |
## Dataset Descritpion | |
Korean Hate Speech Evaluation Datasets : trained with [BEEP!](https://huggingface.co/datasets/kor_hate) and evaluate with [APEACH](https://github.com/jason9693/APEACH) | |
- **Repository: [Korean HateSpeech Evaluation Dataset](https://github.com/jason9693/APEACH)** | |
- **Paper: [APEACH: Attacking Pejorative Expressions with Analysis on Crowd-Generated Hate Speech Evaluation Datasets](https://arxiv.org/abs/2202.12459)** | |
- **Point of Contact: [Kichang Yang](ykcha9@gmail.com)** | |
### Languages | |
ko-KR | |
## Dataset Structure | |
### Data Instances | |
A sample from this dataset looks as follows: | |
```json | |
[ | |
{ | |
"text": "(\ud604\uc7ac \ud638\ud154\uc8fc\uc778 \uc2ec\uc815) \uc54418 \ub09c \ub9c8\ub978\ud558\ub298\uc5d0 \ub0a0\ubcbc\ub77d\ub9de\uace0 \ud638\ud154\ub9dd\ud558\uac8c\uc0dd\uacbc\ub294\ub370 \ub204\uad70 \uacc4\uc18d \ucd94\ubaa8\ubc1b\ub124....", | |
"class": 1 | |
}, | |
{ | |
"text": "....\ud55c\uad6d\uc801\uc778 \ubbf8\uc778\uc758 \ub300\ud45c\uc801\uc778 \ubd84...\ub108\ubb34\ub098 \uacf1\uace0\uc544\ub984\ub2e4\uc6b4\ubaa8\uc2b5...\uadf8\ubaa8\uc2b5\ub4a4\uc758 \uc2ac\ud514\uc744 \ubbf8\ucc98 \uc54c\uc9c0\ubabb\ud588\ub124\uc694\u3160", | |
"class": 0 | |
} | |
] | |
``` | |
### Dataset Fields | |
The dataset has the following fields (also called "features"): | |
```json | |
{ | |
"text": "Value(dtype='string', id=None)", | |
"class": "ClassLabel(num_classes=2, names=['Default', 'Spoiled'], id=None)" | |
} | |
``` | |
### Dataset Splits | |
This dataset is split into a train and validation split. The split sizes are as follow: | |
| Split name | Num samples | | |
| ------------ | ------------------- | | |
| train (binarized BEEP!) | 7896 | | |
| valid (APEACH) | 3770 | | |
## Citation | |
``` | |
@article{yang2022apeach, | |
title={APEACH: Attacking Pejorative Expressions with Analysis on Crowd-Generated Hate Speech Evaluation Datasets}, | |
author={Yang, Kichang and Jang, Wonjun and Cho, Won Ik}, | |
journal={arXiv preprint arXiv:2202.12459}, | |
year={2022} | |
} | |
``` | |