Upload README.md

README.md

@@ -24,6 +24,7 @@ task_categories:
 - text-classification
 task_ids:
 - multi-label-classification
+- hate-speech-detection
 paperswithcode_id: korean-multi-label-hate-speech-dataset
 dataset_info:
   features:
@@ -86,7 +87,7 @@ dataset_info:
 
 - **Homepage:** [K-MHaS](https://github.com/adlnlp/K-MHaS)
 - **Repository:** [Korean Multi-label Hate Speech Dataset](https://github.com/adlnlp/K-MHaS)
-- **Paper:** [K-MHaS: A Multi-label Hate Speech Detection Dataset in Korean Online News Comment](https://aclanthology.org/2022.coling-1.311/)
+- **Paper:** [K-MHaS: A Multi-label Hate Speech Detection Dataset in Korean Online News Comment](https://arxiv.org/abs/2208.10684)
 - **Point of Contact:** [Caren Han]([email protected])
 
 ### Dataset Summary
@@ -97,7 +98,9 @@ The Korean Multi-label Hate Speech Dataset, K-MHaS, consists of 109,692 utteranc
 Hate Speech Detection
 
 * `binary classification` (labels: `Hate Speech`, `Not Hate Speech`)
-* `multi-label classification`: (labels: `Politics`, `Origin`, `Physical`, `Age`, `Gender`, `Religion`, `Race`, `Profanity`, `Not Hate Speech`)For the multi-label classification, a `Hate Speech` class from the binary classification, is broken down into eight classes, associated with the hate speech category. In order to reflect the social and historical context, we select the eight hate speech classes. For example, the `Politics` class is chosen, due to a significant influence on the style of Korean hate speech.
+* `multi-label classification`: (labels: `Politics`, `Origin`, `Physical`, `Age`, `Gender`, `Religion`, `Race`, `Profanity`, `Not Hate Speech`)
+
+For the multi-label classification, a `Hate Speech` class from the binary classification, is broken down into eight classes, associated with the hate speech category. In order to reflect the social and historical context, we select the eight hate speech classes. For example, the `Politics` class is chosen, due to a significant influence on the style of Korean hate speech.
 
 ### Languages
 
@@ -107,7 +110,7 @@ Korean
 
 ### Data Instances
 
-The txt format with train/validation/test set. Each instance is a news comment with a corresponding one or more hate speech classes (labels: `Politics`, `Origin`, `Physical`, `Age`, `Gender`, `Religion`, `Race`, `Profanity`) or `Not Hate Speech` class. The label numbers matching in both English and Korean is in the data fields section. 
+The dataset is provided with train/validation/test set in the txt format. Each instance is a news comment with a corresponding one or more hate speech classes (labels: `Politics`, `Origin`, `Physical`, `Age`, `Gender`, `Religion`, `Race`, `Profanity`) or `Not Hate Speech` class. The label numbers matching in both English and Korean is in the data fields section. 
 
 ```python
 {'document':'수꼴틀딱시키들이 다 디져야 나라가 똑바로 될것같다..답이 없는 종자들ㅠ'