23 datasets found

The Aggrefact-Unified dataset is a collection of news documents and summaries with factual errors.

The Rotten Tomatoes dataset has 5331 positive and 5331 negative review sentences.

The dataset used in this paper for sentence reduction task.

The authors used the TL;DR dataset, which consists of reddit posts with summaries.

The dataset used in the paper is a document summarization dataset. The goal is to extract sentences (with character budget B) to maximize coverage of human-annotated summaries.

The dataset used for the text summarization task, where a summarizer produces an utterance made up of one or multiple sentences to succinctly report the main content of a text.

Wikipedia Current Events Portal (WCEP) dataset, which consists of short, human-written summaries of news events, the articles for which are all extracted from the Wikipedia...

The dataset used in the paper is a collection of 45K news articles and corresponding summaries, where each summary is professionally crafted and provides links to the original...

The XSUM dataset comprises 226,711 British Broadcasting Corporation (BBC) articles paired with their single-sentence summaries.

DUC-2004 dataset is used for sentence summarization. It contains 500 documents, each with 4 model summaries.

Text summarization aims to extract essential information from a piece of text and transform the text into a concise version.

Text summarization aims to extract essential information from a piece of text and transform the text into a concise version.

Text summarization aims to extract essential information from a piece of text and transform the text into a concise version.

The dataset used for Smart Reply and Ambient Clinical Intelligence tasks

The SAMSum dataset is a benchmark for automatic summarization evaluation, containing dialogue summaries and their associated reference summaries.

The CLCV dataset is used for evaluation.

The ARXIV dataset is used for evaluation.

The DUC 2007 dataset is used for evaluation.

The XSUM dataset is used for training and evaluation.

The DeFacto dataset is a resource specifically curated to enhance the factual consistency of machine-generated summaries through the inclusion of human-annotated demonstrations...