A Benchmark Arabic Dataset for Arabic Question Classification using AAFAQ Framework
Abstract Arabic Natural Language Processing (NLP) is still faced with the complexity of the language’s morphology and the limited availability of quality annotated resources. In this paper, we introduce an open-domain dataset of 5,009 Modern Standard Arabic (MSA) questions labeled according to AAFAQ...
Saved in:
| Main Authors: | Mariam Essam Abdelaziz, Mohanad A. Deif, Shabbab Ali Algamdi, Rania Elgohary |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-08-01
|
| Series: | Scientific Data |
| Online Access: | https://doi.org/10.1038/s41597-025-05688-0 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Hajj-FQA: A benchmark Arabic dataset for developing question-answering systems on Hajj fatwas
by: Hayfa A. Aleid, et al.
Published: (2025-07-01) -
Enhancing the Classification of Imbalanced Arabic Medical Questions Using DeepSMOTE
by: Bushra Al-Smadi, et al.
Published: (2025-04-01) -
Deep ensemble learning for gastrointestinal diagnosis using endoscopic image classification
by: Samra Siddiqui, et al.
Published: (2025-04-01) -
“Arabic Pop Art” on Instagram: Questioning the Representations of Arabness and Khaleejiness in Digital Art
by: Clio Chaveneau
Published: (2023-12-01) -
Constructing and evaluating ArabicStanceX: a social media dataset for Arabic stance detection
by: Ali Alkhathlan, et al.
Published: (2025-06-01)