mlsanityData to 13 Oct 2026

SberQuAD -- Russian Reading Comprehension Dataset: Description and Analysis

arXiv 1912.09723 ↗First posted 20 Dec 2019cs.CLcited by 38

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Abstract (arXiv)

SberQuAD -- a large scale analog of Stanford SQuAD in the Russian language - is a valuable resource that has not been properly presented to the scientific community. We fill this gap by providing a description, a thorough analysis, and baseline experimental results.

Key facts. Cited by 38 papers in the map (data through 13 Oct 2026). First posted on arXiv 20 Dec 2019.

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Cited by year (2026 to 13 Oct)

Citing papers per year: 2021: 8; 2022: 9; 2023: 7; 2024: 5; 2025: 7; 2026: 2.

38 papers.

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  1. 2023The Belebele Benchmark: a Parallel Reading Comprehension Dataset in 122 Language Variantscited by 303
  2. 2021QA Dataset Explosion: A Taxonomy of NLP Resources for Question Answering and Reading Comprehensioncited by 91
  3. 2021GermanQuAD and GermanDPR: Improving Non-English Question Answering and Passage Retrievalcited by 39
  4. 2022Generative Language Models for Paragraph-Level Question Generationcited by 28
  5. 2021English Machine Reading Comprehension Datasets: A Surveycited by 26
  6. 2024The Russian-focused embedders' exploration: ruMTEB benchmark and Russian embedding model designcited by 20
  7. 2023ReadMe++: Benchmarking Multilingual Language Models for Multi-Domain Readability Assessmentcited by 19
  8. 2023An Efficient Multilingual Language Model Compression through Vocabulary Trimmingcited by 19
  9. 2022TAPE: Assessing Few-shot Russian Language Understandingcited by 11
  10. 2023A Practical Toolkit for Multilingual Question and Answer Generationcited by 10
  11. 2021Sentence Extraction-Based Machine Reading Comprehension for Vietnamesecited by 9
  12. 2025MultiWikiQA: A Reading Comprehension Benchmark in 300+ Languagescited by 8
26 more
  1. 2022JaQuAD: Japanese Question Answering Dataset for Machine Reading Comprehensioncited by 7
  2. 2022VLSP 2021 - ViMRC Challenge: Vietnamese Machine Reading Comprehensioncited by 7
  3. 2022Knowledge Distillation of Russian Language Models with Reduction of Vocabularycited by 7
  4. 2023NorQuAD: Norwegian Question Answering Datasetcited by 7
  5. 2023Learn Your Tokens: Word-Pooled Tokenization for Language Modelingcited by 7
  6. 2024KazQAD: Kazakh Open-Domain Question Answering Datasetcited by 7
  7. 2021UQuAD1.0: Development of an Urdu Question Answering Training Data for Machine Reading Comprehensioncited by 6
  8. 2023Resources and Few-shot Learners for In-context Learning in Slavic Languagescited by 6
  9. 2021A Survey on non-English Question Answering Datasetcited by 5
  10. 2024TIGQA:An Expert Annotated Question Answering Dataset in Tigrinyacited by 5
  11. 2025Beyond Early-Token Bias: Model-Specific and Language-Specific Position Effects in Multilingual LLMscited by 5
  12. 2022DTW at Qur'an QA 2022: Utilising Transfer Learning with Transformers for Question Answering in a Low-resource Domaincited by 4
  13. 2025MOLE: Metadata Extraction and Validation in Scientific Papers Using LLMscited by 4
  14. 2021A Russian Jeopardy! Data Set for Question-Answering Systemscited by 3
  15. 2025ALoFTRAG: Automatic Local Fine Tuning for Retrieval Augmented Generationcited by 3
  16. 2021Native Chinese Reader: A Dataset Towards Native-Level Chinese Machine Reading Comprehensioncited by 2
  17. 2022Russian SuperGLUE 1.1: Revising the Lessons not Learned by Russian NLP modelscited by 2
  18. 2022XLMRQA: Open-Domain Question Answering on Vietnamese Wikipedia-based Textual Knowledge Sourcecited by 2
  19. 2022WikiOmnia: generative QA corpus on the whole Russian Wikipediacited by 2
  20. 2025A Collection of Question Answering Datasets for Norwegiancited by 2
  21. 2025Building Russian Benchmark for Evaluation of Information Retrieval Modelscited by 2
  22. 2024Building Efficient and Effective OpenQA Systems for Low-Resource Languagescited by 0
  23. 2024Synthetic Dataset Creation and Fine-Tuning of Transformer Models for Question Answering in Serbiancited by 0
  24. 2025Wikipedia-based Datasets in Russian Information Retrieval Benchmark RusBEIRcited by 0
  25. 2026Little Brains, Big Feats: Exploring Compact Language Modelscited by 0
  26. 2026Translation as a Computationally Efficient Bridge: Feasibility of English BERT for Low-Resource Languagescited by 0