MIDAS hand-annotated news articles

This dataset was produced in 2020 from the data collected throughout 2019 for the development of the MIDAS project (http://www.midasproject.eu/) The data is distributed throughout 5 topics: - 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) The available data comes in 3 kinds and file formats: 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/) The CSV files with name starting in "f1_", "pr_", "re_" are the results of the F1/Precision/Recall evaluation for each of the cases. ## AUTHORS Joao Pita Costa, Anthony Staines, Jarmo Pääkkönen, Jenni Konttila, Joseba Bidaurrazaga, Oihana Belar, Christine Henderson ## ACKNOWLEDGMENTS This work was supported by the European Commission H2020 project MIDAS (G.A. nr. 727721). <br> ## LICENSE This dataset is licensed over Creative Commons.