57 datasets found

Multimodal relation extraction with a missing modality

The dataset used in the paper is a synthetic 70,000-bus system, which contains 88,207 branches and transformers, 160,780 variables, and 998,495 non-zero Jacobian elements.

The dataset used in the paper is a synthetic dataset with 28 observations, each with 3 features (Weather, Holiday, Promotion) and a demand value.

The dataset contains data related to the study of lung cancer. It is a large-scale synthetic SCM designed to simulate data related to the study of lung cancer.

A synthetic dataset of atomic energies for different categories of carbon environments, generated using an existing ML potential model.

The dataset used in the paper is a synthetic dataset for testing the proposed Topological Receptive Field (tRF) model.

ParaBank 2 is a large synthetic paraphrase dataset created by translating one side of bitext into the language of the other side.

The dataset is used to evaluate the performance of the 𝛼-RNN model on various time series tasks.

The dataset used in the paper is a set of synthetic test functions, which are used to evaluate the performance of the Deterministic Langevin Optimization algorithm.

The M4 dataset consists of human-written texts from several data sources, including Wikipedia, Reddit, and arXiv in the English subset of the dataset. It pairs the human-written...

The dataset is used to evaluate the performance of the proposed approach on a variety of synthetic and real-world datasets.

Synthetic data 2

Synthetic data 1

Human 3D pose estimation from a single image is a challenging task with numerous applications. Convolutional Neural Networks (CNNs) have recently achieved superior performance...

Human 3D pose estimation from a single image is a challenging task with numerous applications. Convolutional Neural Networks (CNNs) have recently achieved superior performance...

A synthetic dataset is a data object that is generated programmatically, and it may be valuable to creating a single dataset from multiple sources when direct collection is...

A dataset of synthetic data for action categorization, including simplified videos without background.

Simulacrum dataset, a synthetic dataset for medical research, generated using a directed graph and conditional distributions

Synthetic data generated from a conditional Gaussian distribution to establish a reference characterizing the robustness-accuracy tradeoff based on the Bayes optimal linear...

Synthetic data from diffusion models augmenting real-world data