mlsanityData to 14 Oct 2026

HowSumm: A Multi-Document Summarization Dataset Derived from WikiHow Articles

arXiv 2110.03179 ↗First posted 7 Oct 2021cs.CLcited by 8

Not on the map. Why?

Abstract (arXiv)

We present HowSumm, a novel large-scale dataset for the task of query-focused multi-document summarization (qMDS), which targets the use-case of generating actionable instructions from a set of sources. This use-case is different from the use-cases covered in existing multi-document summarization (MDS) datasets and is applicable to educational and industrial scenarios. We employed automatic methods, and leveraged statistics from existing human-crafted qMDS datasets, to create HowSumm from wikiHow website articles and the sources they cite. We describe the creation of the dataset and discuss the unique features that distinguish it from other summarization corpora. Automatic and human evaluations of both extractive and abstractive summarization models on the dataset reveal that there is room for improvement.

Key facts. Cited by 8 papers in the map (data through 14 Oct 2026). Builds on 13 of its 25 references that are in the map. First posted on arXiv 7 Oct 2021.

Builds on

13 of 25 references.

References · 13

  1. 2017Attention Is All You Needcited by 60,361
  2. 2019Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformercited by 14,599
  3. 2016Abstractive Text Summarization Using Sequence-to-Sequence RNNs and Beyondcited by 812
  4. 2019Multi-News: a Large-Scale Multi-Document Summarization Dataset and Abstractive Hierarchical Modelcited by 431
  5. 2015A Neural Attention Model for Abstractive Sentence Summarizationcited by 396
  6. 2018Generating Wikipedia by Summarizing Long Sequencescited by 335
  7. 2018Newsroom: A Dataset of 1.3 Million Summaries with Diverse Extractive Strategiescited by 294
  8. 2018WikiHow: A Large Scale Text Summarization Datasetcited by 204
  9. 2019Hierarchical Transformers for Multi-Document Summarizationcited by 132
  10. 2020Multi-XScience: A Large-scale Dataset for Extreme Multi-document Summarization of Scientific Articlescited by 97
  11. 2020A Large-Scale Multi-Document Summarization Dataset from the Wikipedia Current Events Portalcited by 72
  12. 2020AQuaMuSe: Automatically Generating Datasets for Query-Based Multi-Document Summarizationcited by 42
1 more
  1. 2020orgFAQ: A New Dataset and Analysis on Organizational FAQs and User Questionscited by 2

Built on by

Cited by year

Citing papers per year: 2024: 6; 2025: 2.

8 papers.

  1. 2024Is It Really Long Context if All You Need Is Retrieval? Towards Genuinely Difficult Long Context NLPcited by 27
  2. 2024WebCiteS: Attributed Query-Focused Summarization on Chinese Web Search Results with Citationscited by 7
  3. 2024ConTReGen: Context-driven Tree-structured Retrieval for Open-domain Long-form Text Generationcited by 4
  4. 2025MAVIS: A Benchmark for Multimodal Source Attribution in Long-form Visual Question Answeringcited by 3
  5. 2024SurveySum: A Dataset for Summarizing Multiple Scientific Articles into a Survey Sectioncited by 2
  6. 2025InstructNet: A Novel Approach for Multi-Label Instruction Classification through Advanced Deep Learningcited by 2
  7. 2024Instructional Text Across Disciplines: A Survey of Representations, Downstream Tasks, and Open Challenges Toward Capable AI Agentscited by 1
  8. 2024Investigating Consistency in Query-Based Meeting Summarization: A Comparative Study of Different Embedding Methodscited by 0