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---
license: odc-by
---
# wice
WiCE: Real-World Entailment for Claims in Wikipedia
## Dataset Details
### Dataset Description
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).
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).
### Dataset Sources
<!-- Provide the basic links for the dataset. -->
- **Repository:** https://github.com/ryokamoi/wice
- **Paper:** Kamoi, Goyal, Rodriguez, and Durett(2023) [WiCE: Real-World Entailment for Claims in Wikipedia
](https://arxiv.org/abs/2303.01432).
## Citation
<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
```bibtex
@inproceedings{kamoi-etal-2023-wice,
title = "{W}i{CE}: Real-World Entailment for Claims in {W}ikipedia",
author = "Kamoi, Ryo and
Goyal, Tanya and
Rodriguez, Juan and
Durrett, Greg",
editor = "Bouamor, Houda and
Pino, Juan and
Bali, Kalika",
booktitle = "Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing",
month = dec,
year = "2023",
address = "Singapore",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2023.emnlp-main.470",
pages = "7561--7583",
}
```
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