metadata
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: text
dtype: string
- name: label
dtype: string
splits:
- name: train
num_bytes: 2837777
num_examples: 1525
download_size: 1426647
dataset_size: 2837777
license: unknown
task_categories:
- text-classification
language:
- ar
pretty_name: Arabic-satire-dataset
size_categories:
- 1K<n<10K
Dataset Card for "Arabic-satire-dataset"
Paper:
Assiri, Fatmah, and Hanen Himdi. 2023. "Comprehensive Study of Arabic Satirical Article Classification" Applied Sciences 13, no. 19: 10616. https://doi.org/10.3390/app131910616