MIDAS hand-annotated news articles

<p>This dataset was produced in 2020 from the data collected throughout 2019 for the development of the MIDAS project (http://www.midasproject.eu/)</p> <p>The data is distributed throughout 5 topics:</p> <p>- EUS: Childhood Obesity (UC Basque Country)<br> - FIN: Mental Health (UC Finland)<br> - IRE: Diabetes (UC Ireland)<br> - NIR: Children in Care (UC Northern Ireland)<br> - INF: Infectious Diseases including Coronavirus (UC Influenzanet)</p> <p>The available data comes in 3 kinds and file formats:</p> <p>TXT - the source of news including ID, title and body of text<br> CSV - the hand annotation of the news articles in TXT with 5 to 10 MeSH headings<br> JSON - the input file for the evaluation of the classifier, including the title, news article body and MeSH heading IDs (available from https://www.ncbi.nlm.nih.gov/mesh/)</p> <p>The CSV files with name starting in &quot;f1_&quot;, &quot;pr_&quot;, &quot;re_&quot; are the results of the F1/Precision/Recall evaluation for each of the cases.</p> <p>## AUTHORS</p> <p>Joao Pita Costa, Anthony Staines, Jarmo P&auml;&auml;kk&ouml;nen, Jenni Konttila, Joseba Bidaurrazaga, Oihana Belar, Christine Henderson</p> <p>## ACKNOWLEDGMENTS</p> <p>This work was supported by the European Commission H2020 project MIDAS (G.A. nr. 727721).&nbsp;</p> <p><br> ## LICENSE</p> <p>This dataset is licensed over Creative Commons.</p>