Omkar2118/datasets huggingface dataset:
UniKG

We construct a large-scale Heterogeneous Graph benchmark dataset named UniKG from Wikidata.
UniKG contains 77.31 million multi-attribute entities labels by 2000 classes, 564 million directed edges annotated by 2082 diverse association types, which significantly surpasses the scale of existing homogeneous graph datasets.
UniKG have the capability to facilitate downstream task of diverse domains.

Introducing paper: UniKG: A Benchmark and Universal Embedding for Large-Scale Knowledge Graphs
CATH 4.2

The CATH (Class, Architecture, Topology, Homology) [65] database is a comprehensive
resource for protein structure classification that hierarchical group proteins based on their structural
features. The database defines classes based on topological similarities, architectures based on the
arrangement of secondary structure elements, topologies based on the connectivity of secondary
structure elements, and homologous domains based on sequence similarity.
CATH 4.3

The CATH (Class, Architecture, Topology, Homology) [65] database is a comprehensive
resource for protein structure classification that hierarchical group proteins based on their structural
features. The database defines classes based on topological similarities, architectures based on the
arrangement of secondary structure elements, topologies based on the connectivity of secondary
structure elements, and homologous domains based on sequence similarity.  This results in a training set of 16,153 structures, a validation set of
1,457 structures, and a test set of 1,797 structures. Note that the curated CATH dataset contains only
single-chain structures and does not consider the case of designing multi-chain proteins.
repository of migratable containers in UMS

Repository of containerized services that can be migrated through UMS.
The dataset includes containers of the UMS platform plus sample containerized services that can be live migrated using UMS.
Specifically, the dataset includes containers for the following two services:
1. Memhog application: this is a containerized service to check the impact of memory footprint of the containers upon live migration.
2. Yolo v3-Tiny application: this is a containerized service with a real-world application for object detection. This will help users to examine UMS under real-world settings.

Introducing paper: UMS: Live Migration of Containerized Services across Autonomous Computing Systems