182 datasets found

The dataset used for the proposed Joint Multi-Domain Learning for Automatic Short Answer Grading.

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.

Deep learning-based text classification models need abundant labeled data to obtain competitive performance. To tackle this, multiple researches try to use data augmentation to...

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 dataset for fake news inference

A dataset for opinion spam and fake news detection

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.

The dataset used in the paper is the webspam dataset.

The dataset is used to evaluate the performance of the Linear Additive Markov Process (LAMP) on real-world sequences.