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---
language:
- en
bigbio_language:
- English
license: cc-by-nc-2.0
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:** Text Pairs Classification
### 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 = {}
}
```
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