34 datasets found

The dataset is used to evaluate the performance of the xLSTM architecture on various tasks, including language modeling, question answering, and text classification.

The YELP dataset is used for language modeling.

Object tracking by reconstruction with view-specific discriminative correlation filters.

The dataset used in the paper is Penn Treebank (PTB) and WikiText-2 (WT-2), which are language modeling datasets.

Patrika dataset is used as independent test set.

Nayadiganta dataset is used as independent test set.

Hindinews, Livehindustan and Patrika newspaper articles available open source in Kaggle encompassing similar domains.

Bengali dataset consists of articles from online public news portals such as Prothom-Alo, BDNews24 and Nayadiganta. The articles encompass domains such as politics,...

The Chinese Poetry dataset is a dataset of Chinese poems used for language modeling.

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

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.

Pre-trained language models (PrLM) have to carefully manage input units when training on a very large text with a vocabulary consisting of millions of words. Previous works have...

The Penn Treebank (PTB) dataset is used for word ordering task. The dataset is used to evaluate the performance of different models for word ordering.