39 datasets found

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 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 ELI5, FinanceQA, MultiNews, and QMSum datasets were used in the paper.

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

The ROCStories corpus is a collection of crowdsourced five-sentence everyday stories rich in causal and temporal relations.

The SPACE dataset contains hotel reviews, and the AMAZON dataset contains product reviews.

A bus driver who was seriously injured when he was hit by a steam engine is making good progress, his wife has said.

The dataset used for abstractive summarization tasks, including Gigaword, CNN/DailyMail, and Arxiv.

The dataset is used for text summarization tasks.

The dataset is used for machine translation, text summarization, and open-ended text generation tasks.

The dataset is used for machine translation, text summarization, and open-ended text generation tasks.

The OrangeSum dataset is a dataset for French, containing summaries of news articles.

StreamHover is a framework for annotating and summarizing livestream transcripts. It uses a neural extractive summarization model that leverages vector-quantized variational...