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ArabicaQA: A Comprehensive Dataset for Arabic Question Answering

arXiv 2403.17848 ↗First posted 26 Mar 2024cs.CL cs.IRcited by 20

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Abstract (arXiv)

In this paper, we address the significant gap in Arabic natural language processing (NLP) resources by introducing ArabicaQA, the first large-scale dataset for machine reading comprehension and open-domain question answering in Arabic. This comprehensive dataset, consisting of 89,095 answerable and 3,701 unanswerable questions created by crowdworkers to look similar to answerable ones, along with additional labels of open-domain questions marks a crucial advancement in Arabic NLP resources. We also present AraDPR, the first dense passage retrieval model trained on the Arabic Wikipedia corpus, specifically designed to tackle the unique challenges of Arabic text retrieval. Furthermore, our study includes extensive benchmarking of large language models (LLMs) for Arabic question answering, critically evaluating their performance in the Arabic language context. In conclusion, ArabicaQA, AraDPR, and the benchmarking of LLMs in Arabic question answering offer significant advancements in the field of Arabic NLP. The dataset and code are publicly accessible for further research https://github.com/DataScienceUIBK/ArabicaQA.

Key facts. Cited by 20 papers in the map (data through 7 Oct 2026). Builds on 26 of its 63 references that are in the map. First posted on arXiv 26 Mar 2024.

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26 of 63 references.

References · 26

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14 more
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Citing papers per year: 2024: 5; 2025: 10; 2026: 5.

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  1. 2024CAMEL-Bench: A Comprehensive Arabic LMM Benchmarkcited by 17
  2. 2025Command R7B Arabic: A Small, Enterprise Focused, Multilingual, and Culturally Aware Arabic LLMcited by 16
  3. 2025Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generationcited by 13
  4. 2025ASRank: Zero-Shot Re-Ranking with Answer Scent for Document Retrievalcited by 9
  5. 2025From Guidelines to Practice: A New Paradigm for Arabic Language Model Evaluationcited by 6
  6. 2024101 Billion Arabic Words Datasetcited by 2
  7. 2024GemmAr: Enhancing LLMs Through Arabic Instruction-Tuningcited by 2
  8. 2024DynRank: Improving Passage Retrieval with Dynamic Zero-Shot Prompting Based on Question Classificationcited by 2
  9. 2025AraTable: Benchmarking LLMs' Reasoning and Understanding of Arabic Tabular Datacited by 2
  10. 2025Two-Stage Quranic QA via Ensemble Retrieval and Instruction-Tuned Answer Extractioncited by 2
  11. 2024A Comprehensive Survey of Masked Faces: Recognition, Detection, and Unmaskingcited by 1
  12. 2025Enhanced Arabic Text Retrieval with Attentive Relevance Scoringcited by 1
8 more
  1. 2025From Facts to Folklore: Evaluating Large Language Models on Bengali Cultural Knowledgecited by 1
  2. 2026Multi-turn Conversational AI from Text to Multimodal Interaction: Data, Models, Evaluation, and Open Challengescited by 1
  3. 2025AutoArabic: A Three-Stage Framework for Localizing Video-Text Retrieval Benchmarkscited by 0
  4. 2025Transformer Tafsir at QIAS 2025 Shared Task: Hybrid Retrieval-Augmented Generation for Islamic Knowledge Question Answeringcited by 0
  5. 2026The Role of Dataset Linguistic Structure in the Cultural Awareness of Large Language Modelscited by 0
  6. 2026BETA-Labeling for Multilingual Dataset Construction in Low-Resource IRcited by 0
  7. 2026BRIDGE: Multimodal-to-Text Retrieval via Reinforcement-Learned Query Alignmentcited by 0
  8. 2026Large Language Models Systematically Favor Popular Options: Evidence and Mitigation Across MCQscited by 0