Published August 28, 2015 | Version v1
Dataset Open

A crowdsourced sentence-bound chemical-induced disease relationship corpus

Authors/Creators

  • 1. The Scripps Research Institute
  • 2. Research Programme on Biomedical Informatics, IMIM, DCEXS, Universitat Pompeu Fabra

Description

A set of 3000 abstracts from PubMed were annotated for sentence-bound chemical-induced disease relationships in order to train a machine learning algorithm for the BioCreative V challenge.

Files

Files (5.3 MB)

Name Size
md5:014f2ccb6c1944e15d3c8b125c7f4be8
2.6 MB Download
md5:ae846dcc8db810428776ff76398bbac7
1.3 MB Download
md5:ecab4e94481e9d1e2b97a884837cba8f
1.3 MB Download