Update README.md

README.md

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 license: odc-by
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+
+# 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",
+}
+```