|
--- |
|
license: cc-by-4.0 |
|
language: |
|
- en |
|
size_categories: |
|
- 10B<n<100B |
|
pretty_name: Scientific Openly-Licensed Publications - Text |
|
--- |
|
|
|
# Scientific Openly-Licensed Publications |
|
This repository contains companion material for the following publication: |
|
|
|
> Tim Tarsi, Heike Adel, Jan Hendrik Metzen, Dan Zhang, Matteo Finco, Annemarie Friedrich. **SciOL and MuLMS-Img: Introducing A Large-Scale Multimodal Scientific Dataset and Models for Image-Text Tasks in the Scientific Domain.** WACV 2024. |
|
|
|
Please cite this paper if using the dataset, and direct any questions regarding the dataset |
|
to [Tim Tarsi](mailto:tim.tarsi@gmail.com) |
|
|
|
|
|
## Summary |
|
Scientific Openly-Licensed Publications (SciOL) is the largest openly-licensed pre-training corpus for multimodal models in the scientific domain, covering multiple sciences including materials science, physics, and computer science. It consists of over 2.7M scientific scientific publications converted into semi-structured data. SciOL contains over 14 Billion tokens of extracted and structured text. |
|
|
|
|
|
**Note: This repository only contains the textual data of SciOL. For the figures and captions see:** |
|
[SciOL-CI](https://huggingface.co/datasets/Timbrt/SciOL-CI) |
|
|
|
## Data Format |
|
We provide the annotations of our dataset in the JSON format. Files are grouped and compressed as zip files. We provide a basic index to find annotations by DOI, PMID or DOAJ id and keywords. |
|
|
|
## Annotation Schema |
|
|
|
Annotations are structured as in the following schema: |
|
``` |
|
{ |
|
"$schema": "http://json-schema.org/draft-07/schema#", |
|
"type": "object", |
|
"properties": { |
|
"doi": { |
|
"type": "string" |
|
}, |
|
"keywords": { |
|
"type": "array", |
|
"items": { |
|
"type": "string" |
|
} |
|
}, |
|
"license": { |
|
"type": "string" |
|
}, |
|
"article": { |
|
"type": "object", |
|
"properties": { |
|
"title": { |
|
"type": "string" |
|
}, |
|
"authors": { |
|
"type": "array", |
|
"items": { |
|
"type": "string" |
|
} |
|
}, |
|
"abstract": { |
|
"type": "string" |
|
}, |
|
"body_text": { |
|
"type": "string" |
|
}, |
|
"bibliography": { |
|
"type": "string" |
|
} |
|
} |
|
} |
|
} |
|
} |
|
``` |
|
|
|
|
|
## Citation |
|
If you use our dataset in your scientific, please cite our paper: |
|
``` |
|
TBD |
|
|
|
``` |
|
|
|
## License |
|
|
|
The SciOL corpus is released under the [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) license. |
