Datasets:

openbmb
/

factnet_factstatements

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.

Paper: https://arxiv.org/abs/2602.03417
Github: https://github.com/yl-shen/factnet
Dataset: https://huggingface.co/collections/openbmb/factnet

Dataset Format

The dataset contains parquet files with the following key fields:

core_id: Unique identifier for the fact statement
subject_qid: Wikidata QID of the subject entity
property_pid: Wikidata PID of the property
value: Raw value from Wikidata
value_qid: Entity QID if the value is an entity (otherwise null)
normalized_value: Standardized representation of the value
claim_hash: Standardized hash of subject|property|normalized_value|qualifiers
qualifiers: Qualifier information (time, location, etc.)
references: Source information
rank: Wikidata rank (preferred, normal, deprecated)
confidence: Computed confidence score

Usage

FactStatements 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.

License

This dataset is derived from Wikidata and is available under the CC0 license.

Citation

@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}
}