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license: odc-by |
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--- |
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# wice |
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WiCE: Real-World Entailment for Claims in Wikipedia |
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## Dataset Details |
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### Dataset Description |
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WiCE is a fine-grained textual entailment dataset built on natural claim and evidence pairs extracted from Wikipedia. Given a sentence in Wikipedia and the corresponding article(s) it cites, we annotate the entailment label, a list of sentences in the cited article(s) that support the claim sentence, and tokens in the claim that are unsupported by the article(s). |
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This is the `entailment_retrieval` subset that includes the WiCE dataset for entailment and retrieval task. `claim` includes data with the original claims and `subclaim` includes data with the decomposed claims (finegrained annotation by using Claim-Split). |
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### Dataset Sources |
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<!-- Provide the basic links for the dataset. --> |
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- **Repository:** https://github.com/ryokamoi/wice |
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- **Paper:** Kamoi, Goyal, Rodriguez, and Durett(2023) [WiCE: Real-World Entailment for Claims in Wikipedia |
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](https://arxiv.org/abs/2303.01432). |
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## Citation |
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<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. --> |
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```bibtex |
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@inproceedings{kamoi-etal-2023-wice, |
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title = "{W}i{CE}: Real-World Entailment for Claims in {W}ikipedia", |
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author = "Kamoi, Ryo and |
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Goyal, Tanya and |
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Rodriguez, Juan and |
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Durrett, Greg", |
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editor = "Bouamor, Houda and |
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Pino, Juan and |
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Bali, Kalika", |
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booktitle = "Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing", |
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month = dec, |
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year = "2023", |
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address = "Singapore", |
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publisher = "Association for Computational Linguistics", |
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url = "https://aclanthology.org/2023.emnlp-main.470", |
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pages = "7561--7583", |
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} |
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``` |
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