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+ # FactStatement Dataset
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+
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+ ## Overview
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+
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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.
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+
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+ ## Dataset Format
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+
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+ The dataset contains parquet files with the following key fields:
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+
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+ - `core_id`: Unique identifier for the fact statement
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+ - `subject_qid`: Wikidata QID of the subject entity
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+ - `property_pid`: Wikidata PID of the property
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+ - `value`: Raw value from Wikidata
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+ - `value_qid`: Entity QID if the value is an entity (otherwise null)
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+ - `normalized_value`: Standardized representation of the value
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+ - `claim_hash`: Standardized hash of subject|property|normalized_value|qualifiers
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+ - `qualifiers`: Qualifier information (time, location, etc.)
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+ - `references`: Source information
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+ - `rank`: Wikidata rank (preferred, normal, deprecated)
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+ - `confidence`: Computed confidence score
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+
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+ ## Usage
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+
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+ 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.
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+
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+ ## License
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+ This dataset is derived from Wikidata and is available under the CC0 license.
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+
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+ ## Citation
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+
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+ ```
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+ @article{shen2026factnet,
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+ title={FactNet: A Billion-Scale Knowledge Graph for Multilingual Factual Grounding},
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+ 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},
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+ journal={arXiv preprint arXiv:2602.03417},
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+ year={2026}
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+ }
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+ ```