Datasets:
metadata
annotations_creators:
- expert-generated
language_creators:
- expert-generated
language:
- en
license:
- cc-by-4.0
multilinguality:
- monolingual
pretty_name: >-
Dataset containing abstracts from PubMed, either related to long COVID or
not.
size_categories:
- unknown
source_datasets:
- original
task_categories:
- text-classification
Data Description
Long-COVID related articles have been manually collected by information specialists.
Please find further information here.
Size
| Training | Development | Test | Total | |
|---|---|---|---|---|
| Positive Examples | 215 | 76 | 70 | 345 |
| Negative Examples | 199 | 62 | 68 | 345 |
| Total | 414 | 238 | 138 | 690 |
Citation
@article{10.1093/database/baac048,
author = {Langnickel, Lisa and Darms, Johannes and Heldt, Katharina and Ducks, Denise and Fluck, Juliane},
title = "{Continuous development of the semantic search engine preVIEW: from COVID-19 to long COVID}",
journal = {Database},
volume = {2022},
year = {2022},
month = {07},
issn = {1758-0463},
doi = {10.1093/database/baac048},
url = {https://doi.org/10.1093/database/baac048},
note = {baac048},
eprint = {https://academic.oup.com/database/article-pdf/doi/10.1093/database/baac048/44371817/baac048.pdf},
}