136 datasets found

A dataset for measuring the domain similarity of Persian texts, generated from a dataset of advertisements posted on Divar application.

SNLI, MNLI, Stress Test, Matched Mismatched, Competence, Distraction, and Noise datasets

The AG News - News articles from over 2000 news sources annotated by type of news: Sports, World, Business, and Science/Tech. 120k training and 7k test sets are provided.

Zero-shot models suffer due to artifacts inherited from pretraining. A particularly detrimental artifact, caused by unbalanced web-scale pretraining data, is mismatched label...

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

The dataset used in the paper is the SuperGLUE benchmark, which includes 17 tasks: STS-B, MRPC, MNLI, QNL, QNLI, CoLA, SST-2, MRPC, GLUE, NLI, NQ, ReCoRD, ReCoRD-Sub,...

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 used for Aspect-Based Sentiment Analysis (ABSA) experiments.

The dataset used for Aspect-Based Sentiment Analysis (ABSA) experiments.

The dataset used for Aspect-Based Sentiment Analysis (ABSA) experiments.

The dataset used for Aspect-Based Sentiment Analysis (ABSA) experiments.

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.