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)
- FIN: Mental Health (UC Finland)
- IRE: Diabetes (UC Ireland)
- NIR: Children in Care (UC Northern Ireland)
- 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
CSV - the hand annotation of the news articles in TXT with 5 to 10 MeSH headings
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). 

## LICENSE

This dataset is licensed over Creative Commons.