PQuAD: A Persian Question Answering Dataset
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Abstract (arXiv)
We present Persian Question Answering Dataset (PQuAD), a crowdsourced reading comprehension dataset on Persian Wikipedia articles. It includes 80,000 questions along with their answers, with 25% of the questions being adversarially unanswerable. We examine various properties of the dataset to show the diversity and the level of its difficulty as an MRC benchmark. By releasing this dataset, we aim to ease research on Persian reading comprehension and development of Persian question answering systems. Our experiments on different state-of-the-art pre-trained contextualized language models show 74.8% Exact Match (EM) and 87.6% F1-score that can be used as the baseline results for further research on Persian QA.
Key facts. Cited by 14 papers in the map (data through 7 Oct 2026). Builds on 22 of its 30 references that are in the map. First posted on arXiv 13 Feb 2022.
Builds on
22 of 30 references.
References · 22
- 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
- 2016SQuAD: 100,000+ Questions for Machine Comprehension of Textcited by 4,115
- 2019Unsupervised Cross-lingual Representation Learning at Scalecited by 3,907
- 2019XLNet: Generalized Autoregressive Pretraining for Language Understandingcited by 2,801
- 2018Know What You Don't Know: Unanswerable Questions for SQuADcited by 1,538
- 2019SpanBERT: Improving Pre-training by Representing and Predicting Spanscited by 832
- 2017Zero-Shot Relation Extraction via Reading Comprehensioncited by 425
- 2016NewsQA: A Machine Comprehension Datasetcited by 330
- 2020LUKE: Deep Contextualized Entity Representations with Entity-aware Self-attentioncited by 326
- 2017SearchQA: A New Q&A Dataset Augmented with Context from a Search Enginecited by 221
- 2018ReCoRD: Bridging the Gap between Human and Machine Commonsense Reading Comprehensioncited by 198
- 2015The Goldilocks Principle: Reading Children's Books with Explicit Memory Representationscited by 108
10 more
- 2020ParsBERT: Transformer-based Model for Persian Language Understandingcited by 92
- 2020FQuAD: French Question Answering Datasetcited by 58
- 2019Neural Arabic Question Answeringcited by 48
- 2019KorQuAD1.0: Korean QA Dataset for Machine Reading Comprehensioncited by 43
- 2019Automatic Spanish Translation of the SQuAD Dataset for Multilingual Question Answeringcited by 35
- 2020Text-based Question Answering from Information Retrieval and Deep Neural Network Perspectives: A Surveycited by 21
- 2020ReCO: A Large Scale Chinese Reading Comprehension Dataset on Opinioncited by 16
- 2016Embracing data abundance: BookTest Dataset for Reading Comprehensioncited by 15
- 2018A Question-Focused Multi-Factor Attention Network for Question Answeringcited by 7
- 2018Densely Connected Attention Propagation for Reading Comprehensioncited by 7
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Citing papers per year: 2023: 4; 2024: 4; 2025: 4; 2026: 2.
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- 2024Khayyam Challenge (PersianMMLU): Is Your LLM Truly Wise to The Persian Language?cited by 22
- 2024FaBERT: Pre-training BERT on Persian Blogscited by 10
- 2026F2LLM-v2: Inclusive, Performant, and Efficient Embeddings for a Multilingual Worldcited by 10
- 2025PerCul: A Story-Driven Cultural Evaluation of LLMs in Persiancited by 8
- 2024TookaBERT: A Step Forward for Persian NLUcited by 7
- 2023ViMMRC 2.0 -- Enhancing Machine Reading Comprehension on Vietnamese Literature Textcited by 5
- 2023PCoQA: Persian Conversational Question Answering Datasetcited by 5
- 2023A Persian Benchmark for Joint Intent Detection and Slot Fillingcited by 2
- 2025Advancing Retrieval-Augmented Generation for Persian: Development of Language Models, Comprehensive Benchmarks, and Best Practices for Optimizationcited by 2
- 2023IslamicPCQA: A Dataset for Persian Multi-hop Complex Question Answering in Islamic Text Resourcescited by 1
- 2024Building a Rich Dataset to Empower the Persian Question Answering Systemscited by 0
- 2025PerHalluEval: Persian Hallucination Evaluation Benchmark for Large Language Modelscited by 0
- 2026IHUBERT: Vector-Based Semantic Deduplication and Domain-Balanced Pretraining for Persian Resources18 Jun 2026
- 2026F2LLM-v2: Inclusive, Performant, and Efficient Embeddings for a Multilingual World19 Mar 2026
- 2025FarsiMCQGen: a Persian Multiple-choice Question Generation Framework16 Oct 2025
- 2025PerHalluEval: Persian Hallucination Evaluation Benchmark for Large Language Models25 Sep 2025
- 2025PerCul: A Story-Driven Cultural Evaluation of LLMs in Persian11 Feb 2025
- 2025Advancing Retrieval-Augmented Generation for Persian: Development of Language Models, Comprehensive Benchmarks, and Best Practices for Optimization8 Jan 2025
- 2024Building a Rich Dataset to Empower the Persian Question Answering Systems28 Dec 2024
- 2024TookaBERT: A Step Forward for Persian NLU23 Jul 2024
- 2024Khayyam Challenge (PersianMMLU): Is Your LLM Truly Wise to The Persian Language?9 Apr 2024
- 2024FaBERT: Pre-training BERT on Persian Blogs9 Feb 2024
- 2023PCoQA: Persian Conversational Question Answering Dataset7 Dec 2023
- 2023IslamicPCQA: A Dataset for Persian Multi-hop Complex Question Answering in Islamic Text Resources23 Apr 2023
- 2024Khayyam Challenge (PersianMMLU): Is Your LLM Truly Wise to The Persian Language?cited by 22
- 2024FaBERT: Pre-training BERT on Persian Blogscited by 10
- 2026F2LLM-v2: Inclusive, Performant, and Efficient Embeddings for a Multilingual Worldcited by 10
- 2025PerCul: A Story-Driven Cultural Evaluation of LLMs in Persiancited by 8
- 2024TookaBERT: A Step Forward for Persian NLUcited by 7
- 2023ViMMRC 2.0 -- Enhancing Machine Reading Comprehension on Vietnamese Literature Textcited by 5
- 2023PCoQA: Persian Conversational Question Answering Datasetcited by 5
- 2023A Persian Benchmark for Joint Intent Detection and Slot Fillingcited by 2
- 2023IslamicPCQA: A Dataset for Persian Multi-hop Complex Question Answering in Islamic Text Resourcescited by 1
- 2024Building a Rich Dataset to Empower the Persian Question Answering Systemscited by 0
- 2025PerHalluEval: Persian Hallucination Evaluation Benchmark for Large Language Modelscited by 0
- 2025FarsiMCQGen: a Persian Multiple-choice Question Generation Frameworkcited by 0
12 most cited of 13 All 13 (JSON)
- 2026IHUBERT: Vector-Based Semantic Deduplication and Domain-Balanced Pretraining for Persian Resources18 Jun 2026
- 2026F2LLM-v2: Inclusive, Performant, and Efficient Embeddings for a Multilingual World19 Mar 2026
- 2025FarsiMCQGen: a Persian Multiple-choice Question Generation Framework16 Oct 2025
- 2025PerHalluEval: Persian Hallucination Evaluation Benchmark for Large Language Models25 Sep 2025
- 2025PerCul: A Story-Driven Cultural Evaluation of LLMs in Persian11 Feb 2025
- 2024Building a Rich Dataset to Empower the Persian Question Answering Systems28 Dec 2024
- 2024TookaBERT: A Step Forward for Persian NLU23 Jul 2024
- 2024Khayyam Challenge (PersianMMLU): Is Your LLM Truly Wise to The Persian Language?9 Apr 2024
- 2024FaBERT: Pre-training BERT on Persian Blogs9 Feb 2024
- 2023PCoQA: Persian Conversational Question Answering Dataset7 Dec 2023
- 2023IslamicPCQA: A Dataset for Persian Multi-hop Complex Question Answering in Islamic Text Resources23 Apr 2023
- 2023ViMMRC 2.0 -- Enhancing Machine Reading Comprehension on Vietnamese Literature Text31 Mar 2023
12 newest of 13 All 13 (JSON)