openbmb/factnet-bench
FactNet Benchmarks This repository contains three benchmark datasets derived from FactNet: 1. Knowledge Graph Completion (KGC) The KGC benchmark evaluates a model's ability to complete missing links in a knowledge graph. Format: (subject, relation, object) triples Splits: Train/Dev/Test Task: Predict missing entity (either subject or object) Construction: Extracted from entity-valued synsets and projected to (S, P, O) triples with careful cross-split collision… See the full description on the dataset page: https://huggingface.co/datasets/openbmb/factnet-bench.
| Author / organization | openbmb |
|---|---|
| License (as declared) | other |
| Downloads | 161 (as reported by Hugging Face) |
| Likes | 4 |
| Created | 16 February 2026 |
| Last updated at source | 7 May 2026 |
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- 17 Oct 2026 Description: FactNet Benchmarks This repository contains three benchmark datasets derived from FactNet: 1. Knowledge Graph Completion (KGC) The KGC benchmark evaluates a model's ability to complete missing links in a knowledge graph. Format: (subject, r → FactNet Benchmarks This repository contains three benchmark datasets derived from FactNet: 1. Knowledge Graph Completion (KGC) The KGC benchmark evaluates a model's ability to complete missing links in a knowledge graph. Format: (subject, r
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