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metadata
configs:
  - config_name: claim
    data_files:
      - split: train
        path: data/claim_train.jsonl
      - split: validation
        path: data/claim_dev.jsonl
      - split: test
        path: data/claim_test.jsonl
  - config_name: subclaim
    data_files:
      - split: train
        path: data/subclaim_train.jsonl
      - split: validation
        path: data/subclaim_dev.jsonl
      - split: test
        path: data/subclaim_test.jsonl

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

License

See LICENSE.md for details.

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",
}