52 datasets found

The Semantic Attribute Modulation (SAM) for language modeling and style variation.

A benchmark for evaluating the perception ability of Large Vision-Language Models (LVLMs) via various subtasks and scenarios.

The Penn Tree Bank (PTB) dataset used for language modeling.

The dataset used for language modeling, disentangled representation learning, and image generation.

The dataset used in the paper is the bookcorpus dataset.

Bilingual word embeddings from parallel and non-parallel corpora for cross-language text classification

Morfessor 2.0 dataset for English, Finnish and Turkish language models

Den samiske tekstbanken dataset for North S´ami language model

Morpho Challenge 2010 dataset for English, Finnish and Turkish language models

The dataset used in this paper is not explicitly described. However, it is mentioned that the authors used the Wikitext-2 dataset for text generation tasks.

The dataset contains 768M tokens for language modeling.

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 for pre-training language models, containing a large collection of text documents.

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,...