Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Languages:
Arabic
Size:
< 1K
Tags:
Emotion Detection
License:
configs: | |
- config_name: default | |
data_files: | |
- split: train | |
path: data/train-* | |
- split: test | |
path: data/test-* | |
dataset_info: | |
features: | |
- name: number | |
dtype: string | |
- name: post | |
dtype: string | |
- name: label | |
dtype: string | |
splits: | |
- name: train | |
num_bytes: 128819 | |
num_examples: 2227 | |
- name: test | |
num_bytes: 128819 | |
num_examples: 2227 | |
download_size: 127798 | |
dataset_size: 257638 | |
license: cc | |
task_categories: | |
- text-classification | |
language: | |
- ar | |
pretty_name: ArPanEmo | |
size_categories: | |
- 1K<n<10K | |
# Dataset Card for "ArPanEmo: An Open-Source Dataset for Fine-Grained Emotion Recognition in Arabic Online Content during COVID-19 Pandemic" | |
## Paper: | |
Althobaiti, Maha Jarallah (2023), “ArPanEmo: An Open-Source Dataset for Fine-Grained Emotion Recognition in Arabic Online Content during COVID-19 Pandemic.”, Mendeley Data, V1, doi: 10.17632/d9yy8w52ns.1 |