29 datasets found

WikiText-103 and Enwik8 datasets are used for language modeling tasks

Paper-Author: This dataset contains papers crawled from the arXiv preprint database. Nodes U represent papers, while nodes V represent authors. An edge ⟨u, v⟩ indicates that the...

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.

The Multimodal Attribute Extraction (MAE) dataset is a large dataset containing mixed-media data for over 2.2 million commercial product items, collected from a large number of...

A large-scale multi-modal dataset comprising 1 million EEG-image-text pairs.

The dataset used in the paper is the Equity Evaluation Corpus (EEC) for emotion prediction, which contains a balanced dataset of sentences with emotions.

The CLIPfa dataset is a multilingual image-text dataset.

The SemEval-2023 Visual Word Sense Disambiguation (V-WSD) Task dataset consists of a silver dataset with 12,869 V-WSD instances. Each sample is a 4-tuple ⟨f, c, I, i∗ ∈ I⟩ where...

The SemEval-2017 Task 4 dataset consists of tweets with sentiment labels.

The Sherlock dataset contains 103K images collected from the Visual Genome and Visual Common Sense Reasoning datasets. These images are split into 90K training, 6.6K validation,...

The VQA dataset is a large-scale visual question answering dataset that consists of pairs of images that require natural language answers.

Magazine: This dataset contains Amazon Aeviews Data under the category of Magazine Subscriptions. We randomly sampled 100, 000 records and removed nodes with degrees lower than...

Open-domain neural dialogue generation (Vinyals and Le, 2015; Sordoni et al., 2015; Li et al., 2016a; Mou et al., 2016; Serban et al., 2016a; Asghar et al., 2016; Mei et al.,...

The dataset used for this study was collected for a mental health assessment project conducted at the University of Maryland School of Medicine in collaboration with the...

The KIT Motion-Language Dataset consists of 3,911 motion sequences with 12.5 FPS and 6,278 language annotations.

Remote sensing image-text retrieval dataset

Remote sensing image-text retrieval dataset

The RSICD dataset is a benchmark remote sensing text-image dataset. It contains a total of 10921 aerial remote sensing images with various resolutions collected from Google...

Text2Shape is a dataset of 8,447 table instances and 6,591 chair instances from the ShapeNet dataset, along with 75,344 natural language descriptions.

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