26 datasets found

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

The Synthetic 5 and Synthetic 10 nodes data sets are synthetic data sets with 5 and 10 nodes respectively.

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.

Synth4D is a dataset of 20,000 LiDAR point clouds synthesized by the CARLAsimulator.

Synthetic data 2

Synthetic data 1

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

The dataset used in the paper is a synthetic seismic fault dataset, which is used for training and testing the fault segmentation model.

Four synthetic datasets aligned with the real-world AV dataset KITTI.

The dataset used in the paper is a collection of images and corresponding affordances (pedestrian hazard, vehicle hazard, red traffic light, and relative heading angle) for...

A 3-D spatio-temporal point process synthetic dataset. The spatial observation x spans the area of [0, 1] × [0, 1], while the temporal observation window covers the time...

DECORTE is a synthetic training dataset for skill matching, generated using GPT-4.

Synthetic bars data for evaluating the output interpretable VAE

The Virtual KITTI 2 dataset is a synthetic clone of the real KITTI dataset, containing 5 sequence clones of Scene 01, 02, 06, 18 and 20, and nine variants with diverse weather...

Synthetic swaption cubes generated from existing ones

The dataset generated by the method of moments (MoM) for training supervised NeuralBIM.

A dataset for training machine learning models for predictive maintenance of semiconductor lasers

SynthCity: A large scale synthetic point cloud dataset for pre-training deep learning models, enabling generalisation and expansion of their usage to real-world data.

Synthetic data generated from a synthetic (teacher) RNN with random parameters. The data is recorded from the primary somatosensory cortex of macaques.