Home ›
Entities
› academia
› ArabicaQA: A Comprehensive Dataset for Arabic Question Answering
ArabicaQA: A Comprehensive Dataset for Arabic Question Answering
Research article (Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024) · cited 21× · AI/ML
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). ArabicaQA: A Comprehensive Dataset for Arabic Question Answering. Retrieved May 24, 2026, from https://4ort.xyz/entity/arabicaqa-a-comprehensive-dataset-for-arabic-question-answering
MLA“ArabicaQA: A Comprehensive Dataset for Arabic Question Answering.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/arabicaqa-a-comprehensive-dataset-for-arabic-question-answering.
BibTeX@misc{4ortxyz_arabicaqa-a-comprehensive-dataset-for-arabic-question-answering_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{ArabicaQA: A Comprehensive Dataset for Arabic Question Answering}}, year = {2026}, url = {https://4ort.xyz/entity/arabicaqa-a-comprehensive-dataset-for-arabic-question-answering}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): ArabicaQA: A Comprehensive Dataset for Arabic Question Answering — https://4ort.xyz/entity/arabicaqa-a-comprehensive-dataset-for-arabic-question-answering (retrieved 2026-05-24)