metadata
language:
- en
bigbio_language:
- English
license: gpl-3.0
multilinguality: monolingual
bigbio_license_shortname: GPL_3p0
pretty_name: Hallmarks of Cancer
homepage: https://github.com/sb895/Hallmarks-of-Cancer
bigbio_pubmed: true
bigbio_public: true
bigbio_tasks:
- TEXT_CLASSIFICATION
Dataset Card for Hallmarks of Cancer
Dataset Description
- Homepage: https://github.com/sb895/Hallmarks-of-Cancer
- Pubmed: True
- Public: True
- Tasks: TXTCLASS
The Hallmarks of Cancer (HOC) Corpus consists of 1852 PubMed publication abstracts manually annotated by experts according to a taxonomy. The taxonomy consists of 37 classes in a hierarchy. Zero or more class labels are assigned to each sentence in the corpus. The labels are found under the "labels" directory, while the tokenized text can be found under "text" directory. The filenames are the corresponding PubMed IDs (PMID).
Citation Information
@article{DBLP:journals/bioinformatics/BakerSGAHSK16,
author = {Simon Baker and
Ilona Silins and
Yufan Guo and
Imran Ali and
Johan H{"{o}}gberg and
Ulla Stenius and
Anna Korhonen},
title = {Automatic semantic classification of scientific literature
according to the hallmarks of cancer},
journal = {Bioinform.},
volume = {32},
number = {3},
pages = {432--440},
year = {2016},
url = {https://doi.org/10.1093/bioinformatics/btv585},
doi = {10.1093/bioinformatics/btv585},
timestamp = {Thu, 14 Oct 2021 08:57:44 +0200},
biburl = {https://dblp.org/rec/journals/bioinformatics/BakerSGAHSK16.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}