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. |