bigbio/hallmarks_of_cancer

language:

• —en bigbio_language:
• —English license: gpl-3.0 multilinguality: monolingual bigbiolicenseshortname: GPL3p0 prettyname: Hallmarks of Cancer homepage: https://github.com/sb895/Hallmarks-of-Cancer bigbiopubmed: True bigbiopublic: 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}
}