In this paper, we present the information extraction task proposed in the first round of the Covid-19 MLIA @ Eval Initiative. During this first round, we proposed to identify six categories of information potentially relevant for the Covid-19 issue (sign or symptom and disease, medical test, drug and treatment, legal rules, everyday life actions, and findings), on texts available in seven languages (English, French, German, Greek, Italian, Spanish, and Swedish). Since no gold standard annotations were given, the participants reused their existing tools and ressources. Four teams participated in this task.