metadata
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
- Repository: https://github.com/ryokamoi/wice
- Paper: Kamoi, Goyal, Rodriguez, and Durett(2023) WiCE: Real-World Entailment for Claims in Wikipedia .
Citation
@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",
}