AyatMomani/AFTD_II

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:

from datasets import load_dataset

dataset = load_dataset("AyatMomani/AFTD_II")
print(dataset)