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MEDLINE

<p>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.</p> <p>[1] L. Rocha, F. Mourao, A. Pereira, M. A. Gon&cedil;calves, and W. Meira, Jr. Exploiting temporal contexts in text classification. In Proc. CIKM, pages 243&ndash;252, 2008.</p> <p>The files:<br> texts.txt: Document set (text). One per line.<br> score.txt: Document class whose index is associated with texts.txt<br> split_&lt;k&gt;.pkl:&nbsp;&nbsp;pandas DataFrame with k-cross validation partition.</p> <p>The .zip contains all aforementioned files + the tfidf representation in the CSR matrix format.</p>

ShareScore

40/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
4
Access
20
Reuse readiness
8
Engagement
4