HowSumm
Introduced by Boni et al. in HowSumm: A Multi-Document Summarization Dataset Derived from WikiHow Articles
HowSumm is a large-scale query-focused multi-document summarization dataset. It is focused on summarization of various sources to create HowTo guides. It is derived from wikiHow articles.
HowSumm is partitioned into HowSumm-Step where target summary is relatively short (avg. 90 words) and HowSumm-Method where target summary is a concatenation of several steps an therefore longer (avg. 500 words). HowSumm-Method and HowSumm-Step contain 11,121 and 84348 instances, respectively.
Description from: HowSumm
Benchmarks
| Trend | Task | Dataset Variant | Best Model | Paper | Code |
|---|---|---|---|---|---|
|
HowSumm-Step
|
LexRank
|
|||
|
HowSumm-Method
|
LexRank
|
Papers
| Paper | Code | Results | Date | Stars |
|---|
Dataset Loaders
No data loaders found. You can
submit your data loader here.
No data loaders found. You can
submit your data loader here.
