47 datasets found

Gigaword sentence dataset is a large corpus of sentences.

Detecting Errors through Ensembling Prompts (DEEP) - an end-to-end large language model framework for detecting factual errors in text summarization.

The dataset used for the automatic text summarization task, containing documents in three languages.

The Wikimarks dataset, which consists of 30 million deduplicated paragraphs from all Wikipedia articles.

The dataset used for the Retrieve-Cluster-Summarize system, consisting of 117 article-level queries and 126 test queries.

The dataset used in the paper is a collection of dialogues and prompts for training a model to perform retrieval-augmented generation (RAG) based summarization. The dataset is...

The CNN, XSum, Gigaword News Headline, and Annotated Enron Subject Line Corpus are datasets used for various NLP tasks.

The CNN/DailyMail dataset is a collection of news articles, and the XSum dataset is a collection of news articles with summaries.

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

IgboSum1500 is an Igbo text summarization dataset, housing 1,500 articles.

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 Famous Keyword Twitter Replies dataset is a comprehensive collection of Twitter data that focuses on popular keywords and their associated replies.

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.

The paper proposes a novel approach to the sequential example selection paradigm for in-context learning.

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...

Two multi-document summarization datasets from the Text Analysis Conference (TAC) shared tasks: TAC’08 and TAC’09.