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---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: Id
dtype: int64
- name: Platform
dtype: string
- name: Comment
dtype: string
- name: Majority_Label
dtype: string
- name: Agreement
dtype: float64
- name: NumOfJudgementUsed
dtype: int64
- name: Total_Judgement
dtype: int64
- name: Vulgar:V/HateSpeech:HS/None:-
dtype: string
splits:
- name: train
num_bytes: 1184762
num_examples: 4000
download_size: 561173
dataset_size: 1184762
license: apache-2.0
task_categories:
- text-classification
language:
- ar
size_categories:
- 1K<n<10K
tags:
- Offensive Language Detection
---
# Dataset Card for "Arabic_Offensive_Comment_Detection"
## Paper:
Shammur Absar Chowdhury, Hamdy Mubarak, Ahmed Abdelali, Soon-gyo Jung, Bernard J. Jansen, and Joni Salminen. 2020. A Multi-Platform Arabic News Comment Dataset for Offensive Language Detection. In Proceedings of the Twelfth Language Resources and Evaluation Conference, pages 6203–6212, Marseille, France. European Language Resources Association.