YAGO3-10 is benchmark dataset for knowledge base completion. It is a subset of YAGO3 (which itself is an extension of YAGO) that contains entities associated with at least ten different relations. In total, YAGO3-10 has 123,182 entities and 37 relations and 1,179,040 triples, and most of the triples describe attributes of persons such as citizenship, gender, and profession.

Yet Another Great Ontology (YAGO) is a Knowledge Graph that augments WordNet with common knowledge facts extracted from Wikipedia, converting WordNet from a primarily linguistic resource to a common knowledge base. YAGO originally consisted of more than 1 million entities and 5 million facts describing relationships between these entities. YAGO2 grounded entities, facts, and events in time and space, contained 446 million facts about 9.8 million entities, while YAGO3 added about 1 million more entities from non-English Wikipedia articles. YAGO3-10 a subset of YAGO3, containing entities which have a minimum of 10 relations each.

YAgO3 crystallizes in the hexagonal P6_3cm space group. The structure is three-dimensional. there are two inequivalent Y3+ sites. In the first Y3+ site, Y3+ is bonded in a 7-coordinate geometry to seven O2- atoms. There are a spread of Y–O bond distances ranging from 2.35–2.39 Å. In the second Y3+ site, Y3+ is bonded in a 7-coordinate geometry to seven O2- atoms. There are a spread of Y–O bond distances ranging from 2.32–2.41 Å. Ag3+ is bonded to five O2- atoms to form corner-sharing AgO5 trigonal bipyramids. There are a spread of Ag–O bond distances ranging from 2.02–2.19 Å. There are four inequivalent O2- sites. In the first O2- site, O2- is bonded to one Y3+ and three equivalent Ag3+ atoms to form OYAg3 trigonal pyramids that share corners with six equivalent OY3Ag tetrahedra, corners with six OYAg3 trigonal pyramids, and edges with three equivalent OY3Ag tetrahedra. In the second O2- site, O2- is bonded to one Y3+ and three equivalent Ag3+ atoms to form OYAg3 trigonal pyramids that share corners with six equivalent OY3Ag tetrahedra, corners with six equivalent OYAg3 trigonal pyramids, and edges with three equivalent OY3Ag tetrahedra. In the third O2- site, O2- is bonded to threemore » Y3+ and one Ag3+ atom to form distorted OY3Ag tetrahedra that share corners with ten OY3Ag tetrahedra, corners with four equivalent OYAg3 trigonal pyramids, edges with three equivalent OY3Ag tetrahedra, and an edgeedge with one OYAg3 trigonal pyramid. In the fourth O2- site, O2- is bonded to three Y3+ and one Ag3+ atom to form OY3Ag tetrahedra that share corners with ten OY3Ag tetrahedra, corners with two equivalent OYAg3 trigonal pyramids, edges with three equivalent OY3Ag tetrahedra, and edges with two equivalent OYAg3 trigonal pyramids.« less

Embeddings for 5.7 million entities in YAGO3, a large knowledge base derived from Wikipedia and other sources.

These 200-dimensional embeddings can be used to enrich data analyses on common entities (cities, people, companies...). See: https://github.com/soda-inria/ken_embeddings

The data contains the following files:

• emb_all.parquet: embeddings for all entities of YAGO3 (5.7M)

• emb_company.parquet: embeddings of companies

• emb_movies.parquet: embeddings of movies

• emb_album.parquet: embeddings of music albums

• emb_school.parquet: embeddings of schools and universities

• entity_types.parquet: simple type for each entity in YAGO3

• entity_detailed_types.parquet: detailed types for each entity

YAGO 3 combines the information from the Wikipedias in multiple languages with WordNet, GeoNames, and other data sources. YAGO 3 taps into multilingual resources of Wikipedia, getting to know more local entities and facts. This version has been extracted from 10 different Wikipedia versions (English, German, French, Dutch, Italian, Spanish, Polish, Romanian, Persian, and Arabic). YAGO 3 is special in several ways: * YAGO 3 combines the clean taxonomy of WordNet with the richness of the Wikipedia category system, assigning the entities to more than 350,000 classes. * YAGO 3 is anchored in time and space. YAGO attaches a temporal dimension and a spatial dimension to many of its facts and entities. * In addition to taxonomy, YAGO has thematic domains such as “music” or “science” from WordNet Domains. * YAGO 3 extracts and combines entities and facts from 10 Wikipedias in different languages. * YAGO 3 contains canonical representations of entities appearing in different Wikipedia language editions. * YAGO 3 integrates all non-English entities into the rich type taxonomy of YAGO. * YAGO 3 provides a mapping between non-English infobox attributes and YAGO relations. YAGO 3 knows more than 17 million entities (like persons, organizations, cities, etc.) and contains more than 150 million facts about these entities. As with all major releases, the accuracy of YAGO 3 has been manually evaluated, proving a confirmed accuracy of 95%. Every relation is annotated with its confidence value.

The dataset used in the paper is a knowledge graph, specifically WN18RR, YAGO3-10, FB15k-237, CoDEx-S, HetioNet, and ogbl-wikikg2.

AgYO3 is (Cubic) Perovskite structured and crystallizes in the cubic Pm-3m space group. The structure is three-dimensional and consists of one silver molecule and one YO3 framework. In the YO3 framework, Y3+ is bonded to six equivalent O2- atoms to form corner-sharing YO6 octahedra. The corner-sharing octahedral tilt angles are 0°. All Y–O bond lengths are 2.21 Å. O2- is bonded in a linear geometry to two equivalent Y3+ atoms.