openbmb/factnet_factsynset
FactSynset Dataset Overview FactSynset is the semantic equivalence layer of FactNet that aggregates similar FactStatements into unified semantic classes with normalized values. It provides a cross-lingual view of semantically equivalent facts, enabling reasoning across language barriers. Paper: https://arxiv.org/abs/2602.03417 Github: https://github.com/yl-shen/factnet Dataset: https://huggingface.co/collections/openbmb/factnet Dataset Format The… See the full description on the dataset page: https://huggingface.co/datasets/openbmb/factnet_factsynset.
| Author / organization | openbmb |
|---|---|
| License (as declared) | other |
| Downloads | 836 (as reported by Hugging Face) |
| Likes | 5 |
| Created | 4 February 2026 |
| Last updated at source | 7 May 2026 |
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Recent changes
- 17 Oct 2026 Description: FactSynset Dataset Overview FactSynset is the semantic equivalence layer of FactNet that aggregates similar FactStatements into unified semantic classes with normalized values. It provides a cross-lingual view of semantically equivalent fac → FactSynset Dataset Overview FactSynset is the semantic equivalence layer of FactNet that aggregates similar FactStatements into unified semantic classes with normalized values. It provides a cross-lingual view of semantically equivalent fac
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