|
|
| --- |
| language: |
| - en |
| bigbio_language: |
| - English |
| license: cc-by-nc-2.0 |
| multilinguality: monolingual |
| bigbio_license_shortname: CC_BY_NC_2p0 |
| pretty_name: SciFact |
| homepage: https://scifact.apps.allenai.org/ |
| bigbio_pubmed: False |
| bigbio_public: True |
| bigbio_tasks: |
| - TEXT_PAIRS_CLASSIFICATION |
| --- |
| |
|
|
| # Dataset Card for SciFact |
|
|
| ## Dataset Description |
|
|
| - **Homepage:** https://scifact.apps.allenai.org/ |
| - **Pubmed:** False |
| - **Public:** True |
| - **Tasks:** TXT2CLASS |
|
|
|
|
| ### Scifact Corpus Source |
|
|
| 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 Claims Source |
|
|
| {_DESCRIPTION_BASE} This config connects the claims to the evidence and doc ids. |
| |
| |
| ### Scifact Rationale Bigbio Pairs |
|
|
| {_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 Pairs |
|
|
| {_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. |
| |
| |
|
|
|
|
|
|
| ## Citation Information |
|
|
| ``` |
| @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 = {} |
| } |
| |
| ``` |
|
|
