metadata

annotations_creators:
  - crowdsourced
  - crowd-generated
language_creators:
  - found
languages:
  - ko
licenses:
  - cc-by-sa-4.0
multilinguality:
  - monolingual
paperswithcode_id: apeach
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! and evaluate with APEACH

Repository: Korean HateSpeech Evaluation Dataset
Paper: APEACH: Attacking Pejorative Expressions with Analysis on Crowd-Generated Hate Speech Evaluation Datasets
Point of Contact: Kichang Yang

Languages

ko-KR

Dataset Structure

Data Instances

A sample from this dataset looks as follows:

[
  {
    "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"):

{
  "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}
}