We collected around 23K comments written in Tunisian dialect in both Arabic and Latin letters. These comments were manually annotated by native language experts for sentiment analysis (optimist, pessimist and neutral) and sarcasm detection (sarcastic and non-sarcastic). In addition to health, our data set includes comments relating to additional COVID-19-influenced thematic areas, such as entertainment, social, sports, religion and politics.