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

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

7 Oct 2021arXiv:2110.03179archive 2025-07-28

Odellia Boni, Guy Feigenblat, Guy Lev, Michal Shmueli-Scheuer, Benjamin Sznajder, David Konopnicki

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.

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Tasks

Abstractive Text SummarizationArticlesDocument SummarizationMulti-Document Summarization

Datasets

Introduced by this paper, per the archive.

HowSumm

Results from the paper archive 2025-07-28

TaskDatasetModelMetricValueRank at snapshotLeaderboardReport
Document Summarization HowSumm-Method LexRank (query: method + article + steps titles) ROUGE-1 53.5 #1 of 9 Archive leaderboard report
Document Summarization HowSumm-Method CES (query: method + article + steps titles) ROUGE-1 52.2 #2 of 9 Archive leaderboard report
Document Summarization HowSumm-Method GreedyRel (query: method + article + steps titles) ROUGE-1 48.6 #3 of 9 Archive leaderboard report
Document Summarization HowSumm-Method CES (query: method title) ROUGE-1 48.4 #4 of 9 Archive leaderboard report
Document Summarization HowSumm-Method CES (query: method + article titles) ROUGE-1 48.3 #5 of 9 Archive leaderboard report
Document Summarization HowSumm-Method LexRank (query: method title) ROUGE-1 47.7 #6 of 9 Archive leaderboard report
Document Summarization HowSumm-Method LexRank (query: method + article titles) ROUGE-1 47.1 #7 of 9 Archive leaderboard report
Document Summarization HowSumm-Method GreedyRel (query: method title) ROUGE-1 43.4 #8 of 9 Archive leaderboard report
Document Summarization HowSumm-Method GreedyRel (query: method + article titles) ROUGE-1 42.3 #9 of 9 Archive leaderboard report
Document Summarization HowSumm-Step LexRank (query: step title) ROUGE-1 39.6 #1 of 11 Archive leaderboard report
Document Summarization HowSumm-Step CES (query: step title) ROUGE-1 39.3 #2 of 11 Archive leaderboard report
Document Summarization HowSumm-Step CES (query: step + method titles) ROUGE-1 38.3 #3 of 11 Archive leaderboard report
Document Summarization HowSumm-Step LexRank (query: step + method titles) ROUGE-1 38.2 #4 of 11 Archive leaderboard report
Document Summarization HowSumm-Step CES (query: step + method + article titles) ROUGE-1 37.0 #5 of 11 Archive leaderboard report
Document Summarization HowSumm-Step LexRank (query: step + method + article titles) ROUGE-1 36.3 #6 of 11 Archive leaderboard report
Document Summarization HowSumm-Step GreedyRel (query: step + method titles) ROUGE-1 30.3 #7 of 11 Archive leaderboard report
Document Summarization HowSumm-Step GreedyRel (query: step title) ROUGE-1 30.1 #8 of 11 Archive leaderboard report
Document Summarization HowSumm-Step BM25-HierSumm (query: step + method titles) ROUGE-1 23.0 #9 of 11 Archive leaderboard report
Document Summarization HowSumm-Step BM25-HierSumm (query: step title) ROUGE-1 22.3 #10 of 11 Archive leaderboard report
Document Summarization HowSumm-Step BM25-HierSumm (query: step + method + article titles) ROUGE-1 21.9 #11 of 11 Archive leaderboard report

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