31 datasets found

A dataset for training machine learning models for routing congestion prediction

The STMNIST dataset is a benchmark for image classification.

Mibench2 is a benchmark suite for embedded systems.

The Twins dataset is a real-world dataset used for benchmarking treatment effect estimation methods.

IOHprofiler is a tool for analyzing and comparing iterative optimization heuristics. It provides statistical evaluations of the algorithms' performance by means of the...

The 37 benchmark instances for the 2WDP-SC introduced in [14] are used. They are open accessible via the electronic appendix of [22].

The set-asp-gauss dataset, a benchmark set for SAT solvers.

The dataset used in the Time Leap Challenge for SAT-Solving, comparing old solvers on new hardware with modern solvers on old hardware.

TinyML benchmarking with Fast Retargeting

Open Graph Benchmark: Datasets for machine learning on graphs.

The dataset used in this paper is a set of benchmark problems for gray-box optimization, including the Sphere function, Rosenbrock function, REBGrid function, and others.

The benchmark test-suite is a collection of twelve well-known test functions from the literature, including unimodal, multimodal, separable, and non-separable functions. The...

A benchmark dataset for non-lambertian and uncalibrated photometric stereo.

The LFR benchmark is a collection of artificial networks with a known community structure.

A benchmark dataset for DNA language models, focusing on biologically meaningful tasks.

A large scale benchmark for uplift modeling.

The Minecraft SkillForge benchmark is a comprehensive evaluation framework for Minecraft agents.

The Amazon Baby Registries benchmark contains 15 datasets, each representing a collection of registries or “baskets” of baby products from a specific category.

The Twenty Datasets benchmark contains 20 real-world datasets ranging from retail to biology.

The dataset used for benchmarking protein-ligand interaction prediction models.