| --- |
| license: cc-by-4.0 |
| --- |
| |
| # Description |
| The **AFTD_II** dataset contains Arabic text samples grouped into 18 categories. |
| It was collected to support tasks such as text classification, annotation, and model training. |
| Additionally, a set of guiding questions was used during data collection and annotation to ensure quality and consistency. |
| A Jupyter Notebook (`Code.ipynb`) is included to demonstrate the performance of three baseline models. |
| |
| # Files |
| - `Data.csv`: The main dataset (Arabic texts in 18 categories) |
| - 'Annotation.csv':Arabic text samples with functional labels assigned by human annotators during the annotation |
| - `Questions.csv`: Questions used for data collection and annotation |
| - `Code.ipynb`: Python notebook used to evaluate three models |
| - `README.md` : Documentation file |
| |
| # Features |
| - `id` : Unique identifier for each sample |
| - `text` : Arabic text sample |
| - `label` : Category label (one of 18 classes) |
| |
| # Authors |
| This dataset was collected and prepared by: |
| - Ayat Almomani |
| - Qusai Shkahtreh |
| - Yazan N Haj Hussein |
| - Lujain Smadi |
| - Rahaf Al-Rwashdeh |
| - Enas Shatnawi |
| - Habiba Dahmani |
| - Ahmed Abdelali |
| |
| # Usage |
| You can load the dataset directly using the datasets library: |
| |
| ```python |
| from datasets import load_dataset |
| |
| dataset = load_dataset("AyatMomani/AFTD_II") |
| print(dataset) |
| |
