211 datasets found

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

The benchmark ride-sharing comment user experience data set was constructed from the real comments in the main city zone of ride-sharing orders within the time period from Mar...

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

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

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

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

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.

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

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

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

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.

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.

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

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.