metadata
pretty_name: SciFact
languages:
- en
paperswithcode_id: null
Dataset Card for "scifact"
Table of Contents
- Dataset Description
- Dataset Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
Dataset Description
- Homepage: https://scifact.apps.allenai.org/
- Repository: More Information Needed
- Paper: More Information Needed
- Point of Contact: More Information Needed
- Size of downloaded dataset files: 5.43 MB
- Size of the generated dataset: 7.88 MB
- Total amount of disk used: 13.32 MB
Dataset Summary
SciFact, a dataset of 1.4K expert-written scientific claims paired with evidence-containing abstracts, and annotated with labels and rationales
Supported Tasks and Leaderboards
Languages
Dataset Structure
We show detailed information for up to 5 configurations of the dataset.
Data Instances
claims
- Size of downloaded dataset files: 2.72 MB
- Size of the generated dataset: 0.25 MB
- Total amount of disk used: 2.97 MB
An example of 'validation' looks as follows.
{
"cited_doc_ids": [14717500],
"claim": "1,000 genomes project enables mapping of genetic sequence variation consisting of rare variants with larger penetrance effects than common variants.",
"evidence_doc_id": "14717500",
"evidence_label": "SUPPORT",
"evidence_sentences": [2, 5],
"id": 3
}
corpus
- Size of downloaded dataset files: 2.72 MB
- Size of the generated dataset: 7.63 MB
- Total amount of disk used: 10.35 MB
An example of 'train' looks as follows.
This example was too long and was cropped:
{
"abstract": "[\"Alterations of the architecture of cerebral white matter in the developing human brain can affect cortical development and res...",
"doc_id": 4983,
"structured": false,
"title": "Microstructural development of human newborn cerebral white matter assessed in vivo by diffusion tensor magnetic resonance imaging."
}
Data Fields
The data fields are the same among all splits.
claims
id
: aint32
feature.claim
: astring
feature.evidence_doc_id
: astring
feature.evidence_label
: astring
feature.evidence_sentences
: alist
ofint32
features.cited_doc_ids
: alist
ofint32
features.
corpus
doc_id
: aint32
feature.title
: astring
feature.abstract
: alist
ofstring
features.structured
: abool
feature.
Data Splits
claims
train | validation | test | |
---|---|---|---|
claims | 1261 | 450 | 300 |
corpus
train | |
---|---|
corpus | 5183 |
Dataset Creation
Curation Rationale
Source Data
Initial Data Collection and Normalization
Who are the source language producers?
Annotations
Annotation process
Who are the annotators?
Personal and Sensitive Information
Considerations for Using the Data
Social Impact of Dataset
Discussion of Biases
Other Known Limitations
Additional Information
Dataset Curators
Licensing Information
Citation Information
@inproceedings{scifact2020
title={ Fact or Fiction: Verifying Scientific Claims},
author={David, Wadden and Kyle, Lo and Lucy Lu, Wang and Shanchuan, Lin and Madeleine van, Zuylen and Arman, Cohan and Hannaneh, Hajishirzi},
booktitle={2011 AAAI Spring Symposium Series},
year={2020},
}
Contributions
Thanks to @thomwolf, @lhoestq, @dwadden, @patrickvonplaten, @mariamabarham, @lewtun for adding this dataset.