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Knowledge Graph Completion datasets
archive 2025-07-28
16 datasets carry the task tag "Knowledge Graph Completion" (the task itself: Knowledge Graph Completion), ordered by the archive's paper count. Page 1 of 1: 16 shown of 16. Facet routes are this site's own (the archive records the tag string, not a page).
The archive holds 12,214 dataset rows; 12,172 are listed. 6 are withheld from every listing and count here as vandalised before snapshot (6 with contact-centre spam in the title, 0 with a spam description on a row that has no homepage, no paper and no papers counted; none with more than 1 paper, 0 with a benchmark), listed in withheld.json; 1 listed row carries a vandalised description, withheld on its page. This gate never withholds a row with a homepage or a paper that resolves, and a clean description; the content rules below withhold a row whose name is spam whatever else it carries. The gate is a phrase list: these are the rows it caught, not a claim that the rest is clean. Before that gate, the site's content rules withhold 36 more rows (invite-code, gambling, travel-booking, contact-centre and similar spam in the name or on a row with nothing real behind it); they have no page and are listed in withheld.json.
Filter 51 task tags shown of 3,717, by dataset count; the full filter by modality, task and language is on /datasets
Knowledge Graph Completion datasets 1–16 of 16
The MovieLens datasets, first released in 1998, describe people’s expressed preferences for movies.
1,246 papers · 17 benchmarks
The FB15k dataset contains knowledge base relation triples and textual mentions of Freebase entity pairs.
641 papers · 6 benchmarks
The WN18 dataset has 18 relations scraped from WordNet for roughly 41,000 synsets, resulting in 141,442 triplets.
485 papers · 3 benchmarks
FB15k-237 is a link prediction dataset created from FB15k.
452 papers · 3 benchmarks
WN18RR is a link prediction dataset created from WN18, which is a subset of WordNet.
394 papers · 3 benchmarks
This dataset is a Wikipedia dump, split by relations to perform Few-Shot Knowledge Graph Completion.
16 papers · 0 benchmarks
CoDEx comprises a set of knowledge graph completion datasets extracted from Wikidata and Wikipedia that improve upon existing knowledge graph completion benchmarks in scope and level of difficulty.
5 papers · 1 benchmark
CoDEx comprises a set of knowledge graph completion datasets extracted from Wikidata and Wikipedia that improve upon existing knowledge graph completion benchmarks in scope and level of difficulty.
5 papers · 1 benchmark
CoDEx comprises a set of knowledge graph completion datasets extracted from Wikidata and Wikipedia that improve upon existing knowledge graph completion benchmarks in scope and level of difficulty.
4 papers · 1 benchmark
DPB-5L is a Multilingual KG dataset containing 5 KGs in English, French, Japanese, Greek, and Spanish.
4 papers · 1 benchmark
InferWiki is a Knowledge Graph Completion (KGC) dataset that improves upon existing benchmarks in inferential ability, assumptions, and patterns.
4 papers · 0 benchmarks
DPB-5L is a Multilingual KG dataset containing 5 KGs in English, French, Japanese, Greek, and Spanish.
3 papers · 1 benchmark
DPB-5L is a Multilingual KG dataset containing 5 KGs in English, French, Japanese, Greek, and Spanish.
3 papers · 1 benchmark
The Aristo Tuple KB contains a collection of high-precision, domain-targeted (subject,relation,object) tuples extracted from text using a high-precision extraction pipeline, and guided by domain vocabulary constraints.
1 paper · 1 benchmark
DPB-5L is a Multilingual KG dataset containing 5 KGs in English, French, Japanese, Greek, and Spanish.
1 paper · 0 benchmarks
DPB-5L is a Multilingual KG dataset containing 5 KGs in English, French, Japanese, Greek, and Spanish.
0 papers · 0 benchmarks
Paper counts and descriptions are the archive's, frozen 2025-07-28; no citation counts, no stars, no trending. Sorting by "most cited" or "newest" was a live-site feature the archive does not carry.