110 datasets found

Word2Vec is a distributed word embedding generator that uses an artificial neural network to learn dense vector representations of words.

The dataset used in the paper is PubMed, ArXiv, and Movies. PubMed is a medical dataset consisting of research articles from the PubMed repository. The articles' subheadings...

The dataset used in this paper is a collection of documents from various domains, including news, articles, and emails.

COVID-19 research challenge dataset

The Penn Treebank dataset contains one million words of 1989 Wall Street Journal material annotated in Treebank II style, with 42k sentences of varying lengths.

The dataset used in this paper is Wikitext-103, a general English language corpus containing good and featured Wikipedia articles.

The dataset used in the paper is the Stanford Natural Language Inference (SNLI) dataset, which consists of 549,367 premise-hypothesis pairs for train/dev/test sets and target...

The dataset used in the paper is not explicitly described, but it is mentioned that the authors tested the proposed method on three real data sets for the most relevant security...

The dataset used for sentiment analysis, question type classification, and subjectivity classification tasks.

A dataset for training language models to perform tasks such as question answering and text classification.