FactNet
Collection
FactNet: A Billion-Scale Knowledge Graph for Multilingual Factual Grounding
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FactStatement is the foundational layer of FactNet, a cross-lingual, multi-layered fact knowledge graph. FactStatements are language-neutral, atomic fact units directly mapped from Wikidata statements, forming the core building blocks of the knowledge graph.
The dataset contains parquet files with the following key fields:
core_id: Unique identifier for the fact statementsubject_qid: Wikidata QID of the subject entityproperty_pid: Wikidata PID of the propertyvalue: Raw value from Wikidatavalue_qid: Entity QID if the value is an entity (otherwise null)normalized_value: Standardized representation of the valueclaim_hash: Standardized hash of subject|property|normalized_value|qualifiersqualifiers: Qualifier information (time, location, etc.)references: Source informationrank: Wikidata rank (preferred, normal, deprecated)confidence: Computed confidence scoreFactStatements are designed to be language-neutral representations of facts that can be linguistically realized through the FactSense layer and semantically grouped through the FactSynset layer.
This dataset is derived from Wikidata and is available under the CC0 license.
@article{shen2026factnet,
title={FactNet: A Billion-Scale Knowledge Graph for Multilingual Factual Grounding},
author={Shen, Yingli and Lai, Wen and Zhou, Jie and Zhang, Xueren and Wang, Yudong and Luo, Kangyang and Wang, Shuo and Gao, Ge and Fraser, Alexander and Sun, Maosong},
journal={arXiv preprint arXiv:2602.03417},
year={2026}
}