mlsanityData to 7 Oct 2026

EduQG: A Multi-format Multiple Choice Dataset for the Educational Domain

arXiv 2210.06104 ↗First posted 12 Oct 2022cs.CLcited by 11

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Abstract (arXiv)

We introduce a high-quality dataset that contains 3,397 samples comprising (i) multiple choice questions, (ii) answers (including distractors), and (iii) their source documents, from the educational domain. Each question is phrased in two forms, normal and close. Correct answers are linked to source documents with sentence-level annotations. Thus, our versatile dataset can be used for both question and distractor generation, as well as to explore new challenges such as question format conversion. Furthermore, 903 questions are accompanied by their cognitive complexity level as per Bloom's taxonomy. All questions have been generated by educational experts rather than crowd workers to ensure they are maintaining educational and learning standards. Our analysis and experiments suggest distinguishable differences between our dataset and commonly used ones for question generation for educational purposes. We believe this new dataset can serve as a valuable resource for research and evaluation in the educational domain. The dataset and baselines will be released to support further research in question generation.

Key facts. Cited by 11 papers in the map (data through 7 Oct 2026). Builds on 23 of its 84 references that are in the map. First posted on arXiv 12 Oct 2022.

Builds on

23 of 84 references.

References · 23

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
  2. 2019Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformercited by 14,491
  3. 2018Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challengecited by 4,710
  4. 2016SQuAD: 100,000+ Questions for Machine Comprehension of Textcited by 4,115
  5. 2021On the Opportunities and Risks of Foundation Modelscited by 3,961
  6. 2018HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answeringcited by 3,686
  7. 2018Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answeringcited by 2,114
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  10. 2017RACE: Large-scale ReAding Comprehension Dataset From Examinationscited by 851
  11. 2017Crowdsourcing Multiple Choice Science Questionscited by 742
  12. 2018SWAG: A Large-Scale Adversarial Dataset for Grounded Commonsense Inferencecited by 333
11 more
  1. 2016NewsQA: A Machine Comprehension Datasetcited by 330
  2. 2020ReClor: A Reading Comprehension Dataset Requiring Logical Reasoningcited by 211
  3. 2021QA Dataset Explosion: A Taxonomy of NLP Resources for Question Answering and Reading Comprehensioncited by 91
  4. 2017Quasar: Datasets for Question Answering by Search and Readingcited by 50
  5. 2019Recent Advances in Neural Question Generationcited by 42
  6. 2017Large-scale Cloze Test Dataset Created by Teacherscited by 27
  7. 2018Generating Distractors for Reading Comprehension Questions from Real Examinationscited by 24
  8. 2020Multi-hop Question Generation with Graph Convolutional Networkcited by 20
  9. 2016TabMCQ: A Dataset of General Knowledge Tables and Multiple-choice Questionscited by 18
  10. 2021FIBER: Fill-in-the-Blanks as a Challenging Video Understanding Evaluation Frameworkcited by 12
  11. 2021A Million Tweets Are Worth a Few Points: Tuning Transformers for Customer Service Taskscited by 4

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 2; 2024: 4; 2025: 4; 2026: 1.

11 papers.

  1. 2024Distractor Generation in Multiple-Choice Tasks: A Survey of Methods, Datasets, and Evaluationcited by 25
  2. 2024A Novel Multi-Stage Prompting Approach for Language Agnostic MCQ Generation using GPTcited by 19
  3. 2023StorySparkQA: Expert-Annotated QA Pairs with Real-World Knowledge for Children's Story-Based Learningcited by 4
  4. 2024Survey of Natural Language Processing for Education: Taxonomy, Systematic Review, and Future Trendscited by 3
  5. 2026Mechanistic Interpretability of Cognitive Complexity in LLMs via Linear Probing using Bloom's Taxonomycited by 2
  6. 2023UniPoll: A Unified Social Media Poll Generation Framework via Multi-Objective Optimizationcited by 1
  7. 2024Automating Turkish Educational Quiz Generation Using Large Language Modelscited by 1
  8. 2025Context Selection and Rewriting for Video-based Educational Question Generationcited by 1
  9. 2025Enhancing the Learning Experience: Using Vision-Language Models to Generate Questions for Educational Videoscited by 1
  10. 2025Harnessing Structured Knowledge: A Concept Map-Based Approach for High-Quality Multiple Choice Question Generation with Effective Distractorscited by 0
  11. 2025A Context-Aware Dual-Metric Framework for Confidence Estimation in Large Language Modelscited by 0