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A Large-Scale Multi-Document Summarization Dataset from the Wikipedia Current Events Portal

arXiv 2005.10070 ↗First posted 20 May 2020cs.CLcited by 72

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Abstract (arXiv)

Multi-document summarization (MDS) aims to compress the content in large document collections into short summaries and has important applications in story clustering for newsfeeds, presentation of search results, and timeline generation. However, there is a lack of datasets that realistically address such use cases at a scale large enough for training supervised models for this task. This work presents a new dataset for MDS that is large both in the total number of document clusters and in the size of individual clusters. We build this dataset by leveraging the Wikipedia Current Events Portal (WCEP), which provides concise and neutral human-written summaries of news events, with links to external source articles. We also automatically extend these source articles by looking for related articles in the Common Crawl archive. We provide a quantitative analysis of the dataset and empirical results for several state-of-the-art MDS techniques.

Key facts. Cited by 72 papers in the map (data through 7 Oct 2026). First posted on arXiv 20 May 2020.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 11; 2022: 12; 2023: 20; 2024: 12; 2025: 8; 2026: 9.

72 papers.

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  1. 2024A Comprehensive Survey on Process-Oriented Automatic Text Summarization with Exploration of LLM-Based Methodscited by 101
  2. 2021MS2: Multi-Document Summarization of Medical Studiescited by 80
  3. 2021PRIMERA: Pyramid-based Masked Sentence Pre-training for Multi-document Summarizationcited by 62
  4. 2024A Systematic Survey of Text Summarization: From Statistical Methods to Large Language Modelscited by 52
  5. 2023Embrace Divergence for Richer Insights: A Multi-document Summarization Benchmark and a Case Study on Summarizing Diverse Information from News Articlescited by 45
  6. 2021ConvoSumm: Conversation Summarization Benchmark and Improved Abstractive Summarization with Argument Miningcited by 37
  7. 2025Neuro-Symbolic AI in 2024: A Systematic Reviewcited by 36
  8. 2023Summarizing Multiple Documents with Conversational Structure for Meta-Review Generationcited by 27
  9. 2022OASum: Large-Scale Open Domain Aspect-based Summarizationcited by 24
  10. 2024Analyzing Temporal Complex Events with Large Language Models? A Benchmark towards Temporal, Long Context Understandingcited by 23
  11. 2022Open Domain Multi-document Summarization: A Comprehensive Study of Model Brittleness under Retrievalcited by 20
  12. 2021Data Augmentation for Abstractive Query-Focused Multi-Document Summarizationcited by 18
38 more
  1. 2023Automated Metrics for Medical Multi-Document Summarization Disagree with Human Evaluationscited by 18
  2. 2023Large Scale Multi-Lingual Multi-Modal Summarization Datasetcited by 12
  3. 2024Graph of Records: Boosting Retrieval Augmented Generation for Long-context Summarization with Graphscited by 12
  4. 2023Do Multi-Document Summarization Models Synthesize?cited by 11
  5. 2021AgreeSum: Agreement-Oriented Multi-Document Summarizationcited by 10
  6. 2021AnswerSumm: A Manually-Curated Dataset and Pipeline for Answer Summarizationcited by 10
  7. 2022HC4: A New Suite of Test Collections for Ad Hoc CLIRcited by 10
  8. 2022Controlled Text Reductioncited by 10
  9. 2022Template-based Abstractive Microblog Opinion Summarisationcited by 9
  10. 2023Can LMs Generalize to Future Data? An Empirical Analysis on Text Summarizationcited by 9
  11. 2023Chunk, Align, Select: A Simple Long-sequence Processing Method for Transformerscited by 9
  12. 2021HowSumm: A Multi-Document Summarization Dataset Derived from WikiHow Articlescited by 8
  13. 2022How "Multi" is Multi-Document Summarization?cited by 8
  14. 2023PDSum: Prototype-driven Continuous Summarization of Evolving Multi-document Sets Streamcited by 7
  15. 2023LLM Based Multi-Document Summarization Exploiting Main-Event Biased Monotone Submodular Content Extractioncited by 7
  16. 2024A Comprehensive Evaluation of Large Language Models on Temporal Event Forecastingcited by 7
  17. 2022WikiDes: A Wikipedia-Based Dataset for Generating Short Descriptions from Paragraphscited by 6
  18. 2025WETBench: A Benchmark for Detecting Task-Specific Machine-Generated Text on Wikipediacited by 6
  19. 2022Multi-Document Summarization with Centroid-Based Pretrainingcited by 5
  20. 2022Synthesis and Evaluation of a Domain-specific Large Data Set for Dungeons & Dragonscited by 5
  21. 2023Unsupervised Story Discovery from Continuous News Streams via Scalable Thematic Embeddingcited by 5
  22. 2023SCStory: Self-supervised and Continual Online Story Discoverycited by 5
  23. 2024L-CiteEval: Do Long-Context Models Truly Leverage Context for Responding?cited by 5
  24. 2021Multi-Perspective Abstractive Answer Summarizationcited by 4
  25. 2021Tackling Query-Focused Summarization as A Knowledge-Intensive Task: A Pilot Studycited by 4
  26. 2025Multi-Agent Interactive Question Generation Framework for Long Document Understandingcited by 4
  27. 2021DESCGEN: A Distantly Supervised Dataset for Generating Abstractive Entity Descriptionscited by 3
  28. 2023Compressed Heterogeneous Graph for Abstractive Multi-Document Summarizationcited by 3
  29. 2024The State and Fate of Summarization Datasets: A Surveycited by 3
  30. 2024EventSum: A Large-Scale Event-Centric Summarization Dataset for Chinese Multi-News Documentscited by 3
  31. 2025Scaling Multi-Document Event Summarization: Evaluating Compression vs. Full-Text Approachescited by 3
  32. 2026WARD: Adversarially Robust Defense of Web Agents Against Prompt Injectionscited by 3
  33. 2021Modeling Endorsement for Multi-Document Abstractive Summarizationcited by 2
  34. 2022PeerSum: A Peer Review Dataset for Abstractive Multi-document Summarizationcited by 2
  35. 2022Combining State-of-the-Art Models with Maximal Marginal Relevance for Few-Shot and Zero-Shot Multi-Document Summarizationcited by 2
  36. 2023Summarizing Indian Languages using Multilingual Transformers based Modelscited by 2
  37. 2023A Hierarchical Encoding-Decoding Scheme for Abstractive Multi-document Summarizationcited by 2
  38. 2023Fovea Transformer: Efficient Long-Context Modeling with Structured Fine-to-Coarse Attentioncited by 2

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