84 datasets found

The Clickbait Challenge 2017 dataset, a collection of social media posts and their corresponding article titles, used for clickbait detection.

The FNC-1 dataset is a supervised classification task for stance detection, where the goal is to automatically predict the labels in a supervised classification task.

Text categorization, a document may be associated with a range of topics, such as science, entertainment, and news.

Semeval-2016 Task 6: Detecting stance in tweets.

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

The dataset used for toxicity and stereotype mitigation task, which consists of 25 thousand examples of positive and negative movie reviews.

The IMDb review dataset is used for positive generation task.

The dataset used in the LightDXML paper for extreme multi-label classification.

The Pile dataset is a large-scale dataset containing 800GB of text data.

The LM-Extraction benchmark is derived from The Pile (Gao et al., 2020) dataset, which contains 15,000 pairs of prefixes and suffixes derived from The Pile dataset (Gao et al.,...

The dataset used in the paper is the TREC05 spam corpus, which contains 39,999 real ham and 52,790 spam emails.

The dataset consists of 108 news headlines, 72 of which are true and 36 of which are false.

The gisette dataset is a collection of 20,000 text documents, each containing a single sentence.

The epsilon dataset is a collection of 50,000 text documents, each containing a single sentence.

The paper proposes dual-sparse regularized randomized reduction methods for classification. The dataset used in the paper is the RCV1-binary dataset.

A new benchmark dataset for fake news detection, containing 12,836 short statements labeled for truthfulness, subject, context/venue, speaker, state, party, and prior history.

The dataset used in this paper for compressed sensing, Lasso regression, and Logistic Lasso regression problems.

The dataset used in the paper is the news20-binary dataset.

The dataset used in the paper is the url dataset.

The dataset used in the paper is the E2006-log1p dataset.