MEDLINE

MEDLINE (MED) a subset of the MedLine dataset, with 861,454 documents classified into 7 distinct classes related to Medicine. This dataset was obtained from [1]. In that work the authors considered the first level of the taxonomy so that each document article is classified under only one category, avoiding dealing with multilabel cases. [1] L. Rocha, F. Mourao, A. Pereira, M. A. Gon¸calves, and W. Meira, Jr. Exploiting temporal contexts in text classification. In Proc. CIKM, pages 243–252, 2008. The files: texts.txt: Document set (text). One per line. score.txt: Document class whose index is associated with texts.txt split_.pkl: pandas DataFrame with k-cross validation partition. The .zip contains all aforementioned files + the tfidf representation in the CSR matrix format.