Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Languages:
Arabic
Size:
< 1K
Tags:
Emotion Detection
License:
| language: | |
| - ar | |
| license: cc-by-4.0 | |
| size_categories: | |
| - 1K<n<10K | |
| task_categories: | |
| - text-classification | |
| pretty_name: ArPanEmo | |
| 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: 14750.267175572519 | |
| num_examples: 255 | |
| - name: test | |
| num_bytes: 14750.267175572519 | |
| num_examples: 255 | |
| download_size: 51444 | |
| dataset_size: 29500.534351145037 | |
| tags: | |
| - Emotion Detection | |
| # 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 |