数据集卡片：SciFact

Scifact语料来源

    SciFact is a dataset of 1.4K expert-written scientific claims paired with evidence-containing abstracts, and annotated with labels and rationales.
 This config has abstracts and document ids.

Scifact主张来源

{_DESCRIPTION_BASE} This config connects the claims to the evidence and doc ids.

Scifact Rationale Bigbio对

{_DESCRIPTION_BASE} This task is the following: given a claim and a text span composed of one or more sentences from an abstract, predict a label from ("rationale", "not_rationale") indicating if the span is evidence (can be supporting or refuting) for the claim. This roughly corresponds to the second task outlined in Section 5 of the paper."

Scifact Labelprediction Bigbio对

{_DESCRIPTION_BASE} This task is the following: given a claim and a text span composed of one or more sentences from an abstract, predict a label from ("SUPPORT", "NOINFO", "CONTRADICT") indicating if the span supports, provides no info, or contradicts the claim. This roughly corresponds to the thrid task outlined in Section 5 of the paper.

引用信息

@article{wadden2020fact,
  author    = {David Wadden and Shanchuan Lin and Kyle Lo and Lucy Lu Wang and Madeleine van Zuylen and Arman Cohan and Hannaneh Hajishirzi},
  title     = {Fact or Fiction: Verifying Scientific Claims},
  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},
  biburl    = {},
  bibsource = {}
}