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README.md
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# FactNet Synset Relations Dataset
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## Overview
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The Synset Relations dataset contains rich semantic relationships between FactSynsets, enabling advanced reasoning and cross-lingual fact retrieval. These relations capture hypernymy, causality, temporality, geographic relationships, and other semantic connections between facts.
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## Dataset Format
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The dataset contains parquet files with the following key fields:
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- `relation_id`: Unique identifier for the relation
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- `source_synset_id`: Source FactSynset ID
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- `target_synset_id`: Target FactSynset ID
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- `relation_type`: Type of relation (hypernym, causal, temporal, geographic, etc.)
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- `confidence`: Confidence score for the relation
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- `evidence_statement_ids`: FactStatements supporting this relation
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- `detection_method`: Method used to detect the relation
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- `metadata`: Additional relation-specific metadata
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## Relation Types
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The dataset includes various relation types:
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- `equivalent`: Semantically equivalent facts
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- `hypernym`: Hierarchical relationships
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- `causal`: Cause-effect relationships
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- `geographic_location`/`geographic_contains`: Spatial relationships
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- `part_of`/`has_part`: Part-whole relationships
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- `member_of`: Membership relationships
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- `follows`/`followed_by`: Temporal sequence
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- `influenced_by`/`influences`: Influence relationships
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- And many others including `created_by`, `used_for`, `opposite_of`, etc.
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## Usage
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Synset Relations enable advanced applications like:
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- Multi-hop reasoning across facts
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- Causal and temporal inference
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- Geographic and spatial reasoning
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- Semantic similarity computation
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- Hierarchical knowledge navigation
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## License
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This dataset is derived from Wikidata and Wikipedia and is available under the CC BY-SA license.
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## Citation
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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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```
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