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--- |
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language: |
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- en |
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bigbio_language: |
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- English |
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license: cc-by-nc-2.0 |
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multilinguality: monolingual |
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bigbio_license_shortname: CC_BY_NC_2p0 |
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pretty_name: SciFact |
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homepage: https://scifact.apps.allenai.org/ |
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bigbio_pubmed: False |
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bigbio_public: True |
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bigbio_tasks: |
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- TEXT_PAIRS_CLASSIFICATION |
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--- |
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# Dataset Card for SciFact |
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## Dataset Description |
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- **Homepage:** https://scifact.apps.allenai.org/ |
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- **Pubmed:** False |
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- **Public:** True |
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- **Tasks:** TXT2CLASS |
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### Scifact Corpus Source |
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SciFact is a dataset of 1.4K expert-written scientific claims paired with evidence-containing abstracts, and annotated with labels and rationales. |
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This config has abstracts and document ids. |
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### Scifact Claims Source |
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{_DESCRIPTION_BASE} This config connects the claims to the evidence and doc ids. |
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### Scifact Rationale Bigbio Pairs |
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{_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." |
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### Scifact Labelprediction Bigbio Pairs |
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{_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. |
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## Citation Information |
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``` |
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@article{wadden2020fact, |
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author = {David Wadden and Shanchuan Lin and Kyle Lo and Lucy Lu Wang and Madeleine van Zuylen and Arman Cohan and Hannaneh Hajishirzi}, |
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title = {Fact or Fiction: Verifying Scientific Claims}, |
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year = {2020}, |
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address = {Online}, |
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publisher = {Association for Computational Linguistics}, |
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url = {https://aclanthology.org/2020.emnlp-main.609}, |
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doi = {10.18653/v1/2020.emnlp-main.609}, |
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pages = {7534--7550}, |
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biburl = {}, |
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bibsource = {} |
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} |
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``` |
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