84 datasets found

The dataset used for testing the sLDA model [16].

The dataset used in this study for image and text classification tasks.

The dataset used in this paper is not explicitly described, but it is mentioned that it is a large language model (LLM) and that the authors used it to train and evaluate their...

The dataset used in the paper is the Multitask Language Understanding (MMLU) dataset, which consists of 57 tasks from Science, Technology, Engineering, and Math (STEM),...

The dataset is used for multilabel learning tasks. It contains 7395 documents, each labeled with 159 relevant tickers.

The dataset used in this paper is SST-2, Irony, IronyB, TREC6, and SNIPS.

The dataset used in the paper is not explicitly described, but it is mentioned that the authors used a variety of datasets for semi-supervised learning tasks.

Two datasets used for multi-task learning, CIFAR-100 and AGNews.

The dataset is a combination of 3 singular datasets: A Million News Headlines, Fake and real news, Getting Real about Fake News.

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

The dataset used in the paper is a concatenation of the original Harry Potter books and synthetic discussions, blog posts, and wiki-like entries about the books.

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...

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 the paper is the TREC dataset, which consists of 124 queries.

The Amazon dataset is used to evaluate the performance of the proposed approach. It consists of 2000 users, 1500 items, 86690 reviews, 7219 number ratings, 3.6113 average number...

Many-class text classification is formulated as a matching problem between the input texts and the class descriptions.

The dataset used in this paper for Dominant Set Clustering.

The dataset used in this paper for Dominant Set Clustering.