20,499 datasets found

The BooksCorpus dataset consists of 11,038 books and has been used for text-only training.

Visual Question Answering (VQA) requires a model to answer open-ended questions regarding images.

Image-Grounded Conversations (IGC) consists of dialogues between human participants over images.

Image Chat involves complete dialogues grounded on images, enabling a natural conversation by introducing styles.

Personality Captions dataset contains image-caption pairs with attributes describing 215 different speech styles.

A dataset of 3.5 billion Instagram images collected to explore the limits of weakly supervised pretraining.

This dataset represents the top 10000 and 100000 most frequent words used in the training of word embedding models for the Russian language, derived from Wikipedia and other...

The dataset consists of publicly available word embedding models for the Russian language, including RusVectores, fastText, and Russian Distributional Thesaurus.

The Tox21 dataset contains information about the toxicity of various compounds, used for toxicity prediction tasks.

The ChEMBL dataset is used for drug bioactivity prediction across multiple tasks involving human protein targets.

The dataset consists of 13C NMR spectra from NMRShiftDB, used for predicting NMR peaks for carbon atoms in various molecules.

The Covid-Chestxray-Dataset contains a collection of chest X-ray images of COVID-19 patients, which were used for training and testing purposes in the study.

A synthetic dataset consisting of rendered indoor scene images with masked objects as the foreground and real-world photographs to validate whether ST-GAN generalizes to real...

A dataset of realistic face images and sketches collected from art galleries to evaluate the method's robustness to various styles.

The dataset consists of pairs of stylized face images and their corresponding ground truth photorealistic faces, created using the CelebA dataset and various style transfer...

The WMT 2014 dataset contains 4.5M sentence pairs for machine translation from English to German.

The WMT 2016 dataset comprises 600K sentence pairs for machine translation from Romanian to English.

The KFTT dataset includes 300K sentence pairs for machine translation from Japanese to English.

The IWSLT 2017 dataset consists of 200K sentence pairs for machine translation from German to English.

The dataset includes 10 real X-ray images collected from a cadaver specimen, with ground truth poses obtained by injecting metallic BBs into the surface of the bone, manually...