There are two files that contain Influenza and COVID-19 Arabic labeled tweets. The first one has ‎‎2189 tweets ID's that are related to Influenza. The second one has 2124 tweets ID's that are related to ‎COVID-19. The first column in the two files explains the annotator ID’s, N represents the first ‎annotator and L represents the second one. The second column has the tweet’s IDs. The reminder of the ‎columns contain the labels which are 1 or 0. We manually annotated each tweet with 1 or 0 to ‎indicate Arabic Infectious Diseases Ontology classes, which are infectious disease name (ie, ‎influenza and COVID-19 in our case), slang term, symptom, cause, prevention, infection, organ, ‎treatment, diagnosis, place of disease spread, and infected category. We also labeled each tweet ‎as 1 if the person who wrote the tweet was infected with influenza or COVID-19 and 0 if not.‎