Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Languages:
Arabic
Size:
10K - 100K
License:
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: 4032669 | |
num_examples: 20050 | |
download_size: 2186950 | |
dataset_size: 4032669 | |
task_categories: | |
- text-classification | |
language: | |
- ar | |
pretty_name: ExaAEC | |
size_categories: | |
- 10K<n<100K | |
license: apache-2.0 | |
tags: | |
- Multi-label Emotion Classification | |
# Dataset Card for "ExaAEC: A New Multi-label Emotion Classification Corpus in Arabic Tweets" | |
## Paper: | |
S. Sarbazi-Azad, A. Akbari and M. Khazeni, "ExaAEC: A New Multi-label Emotion Classification Corpus in Arabic Tweets," 2021 11th International Conference on Computer Engineering and Knowledge (ICCKE), Mashhad, Iran, Islamic Republic of, 2021, pp. 465-470, doi: 10.1109/ICCKE54056.2021.9721493. |