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Performance Data for the Visualisation of Time-Dependent Particles using Dire...
Results of a series of performance measurements (frame times) to determine the impact of using the DirectStorage API for rendering time-dependent particle data sets in contrast... -
Supplemental Material for "Efficient Sphere Rendering Revisited"
This dataset contains the measured rendering times (in milliseconds) for all tested GPUs in the paper "Efficient Sphere Rendering Revisited". The timings have been measured in... -
Spring: A High-Resolution High-Detail Dataset and Benchmark for Scene Flow, O...
The Spring dataset contains files for scene flow, optical flow and stereo estimation. For easier handling, we organized them into sub-directories: train split:... -
Verification benchmarks for single-phase flow in three-dimensional fractured ...
This dataset contains the source code for simulating the benchmark cases of Berre et al. (2021) with the open-source simulator DuMuX. The benchmarks focus on flow and transport... -
PDEBench Pretrained Models
This dataset contains the pretrained baseline models, namely FNO, U-Net, and PINN. These models are trained on different PDEs, such as 1D advection, 1D Burgers', 1D and 2D... -
PDEBench Datasets
This dataset contains benchmark data, generated with numerical simulation based on different PDEs, namely 1D advection, 1D Burgers', 1D and 2D diffusion-reaction, 1D... -
Case 3 - Small Features
This dataset contains results related to the benchmark case 3 as described in detail in the call for participation. The sub-folder "reference" contains solutions for pressure... -
CherryChèvre: A Fine-Grained Dataset for Goat Detection in Natural Environments
We introduce a new dataset for goat detection that contains 6160 annotated images captured under varying environmental conditions. The dataset is intended for developing machine... -
CherryChèvre: A Fine-Grained Dataset for Goat Detection in Natural Environmen...
We introduce a new dataset for goat detection that contains 6160 annotated images captured under varying environmental conditions. The dataset is intended for developing machine... -
BESDUI: A Benchmark for End-User Structured Data User Interfaces
Benchmark for End-User Structured Data User Interfaces (BESDUI) based on the Berlin SPARQL Benchmark (BSBM) but intended for benchmarking the user experience while exploring a... -
Confident datasets of client, driver and negative proteins in liquid-liquid p...
Proteins can form biomolecular condensates in a process called liquid-liquid phase separation (LLPS). These condensates can be formed by many proteins with different roles,... -
CLadder: Assessing Causal Reasoning in Language Models
Paper: "CLadder: Assessing Causal Reasoning in Language Models" (NeurIPS 2023) by Zhijing Jin, Yuen Chen, Felix Leeb, Luigi Gresele, Ojasv Kamal, Zhiheng Lyu, Kevin Blin,... -
GenWiki: A Dataset of 1.3 Million Content-Sharing Text and Graphs for Unsuper...
Paper: "GenWiki: A Dataset of 1.3 Million Content-Sharing Text and Graphs for Unsupervised Graph-to-Text Generation" (COLING 2020) by Zhijing Jin, Qipeng Guo, Xipeng Qiu, and... -
DynaBench: Burgers Grid Full
This package contains the Burgers' equation simulations for the full high-resolution structured (grid) observation locations. It is part of the DynaBench dataset. -
DynaBench: A benchmark dataset for learning dynamical systems from low-resolu...
This is the meta-repository for the DynaBench dataset - a benchmark dataset for learning physical systems from low-resolution, non-grid data. The benchmark contains simulations... -
DynaBench: Reaction-Diffusion Cloud Medium
This package contains the Reaction-Diffusion equation simulations for a medium number of scattered (non-grid) observation locations. It is part of the DynaBench dataset. -
DynaBench: Gas-Dynamics Grid High
This package contains the Gas-Dynamics equation simulations for a high number of structured (grid) observation locations. It is part of the DynaBench dataset. -
DynaBench: Gas-Dynamics Grid Medium
This package contains the Gas-Dynamics equation simulations for a medium number of structured (grid) observation locations. It is part of the DynaBench dataset. -
DynaBench: Kuramoto-Sivashinsky Cloud Low
This package contains the Kuramoto-Sivashinsky equation simulations for a low number of scattered (non-grid) observation locations. It is part of the DynaBench dataset. -
DynaBench: Wave Cloud High
This package contains the Wave equation simulations for a high number of scattered (non-grid) observation locations. It is part of the DynaBench dataset.