task_categories:text-classification language:ar license:apache-2.0 size_categories:10K<n<100K format:parquet modality:text library:datasets library:pandas library:mlcroissant library:polars region:us Multi-label Emotion Classification
---
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. 