Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Languages:
Arabic
Size:
10K - 100K
License:
File size: 875 Bytes
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---
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. |