| # FactStatement Dataset | |
| ## Overview | |
| 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} | |
| } | |
| ``` |