DFKI-SLT/scifact

Dataset Description

This is yet another attempt to have a useful dataset script for SciFact. In constrast to the original script by AllenAI, we provide two views (config names), each consisting of all the data:

1. as_claims: Instances are claims with its cited_doc_ids resolved to their actual document content, saved in cited_docs, and
2. as_documents: Instances are documents with its related claims, i.e. claims that originally linked the document at hand via cited_doc_ids.

Citation Information

@inproceedings{wadden-etal-2020-fact,
    title = "Fact or Fiction: Verifying Scientific Claims",
    author = "Wadden, David  and
      Lin, Shanchuan  and
      Lo, Kyle  and
      Wang, Lucy Lu  and
      van Zuylen, Madeleine  and
      Cohan, Arman  and
      Hajishirzi, Hannaneh",
    booktitle = "Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)",
    month = nov,
    year = "2020",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2020.emnlp-main.609",
    doi = "10.18653/v1/2020.emnlp-main.609",
    pages = "7534--7550",
}