Name: OffensEval 2020
Description: The Arabic dataset consists of 10,000 tweets collected in April–May 2019 using the Twitter API with the language filter set to Arabic: lang:ar.
Provider: Multiple Institutions 
Paper Title: SemEval-2020 Task 12: Multilingual Offensive Language Identification in Social Media (OffensEval 2020)
Tasks: offensive language detection 
Venue Name: Semantic Evaluation
Authors: Marcos Zampieri, Preslav Nakov, Sara Rosenthal, Pepa Atanasova, Georgi Karadzhov, Hamdy Mubarak, Leon Derczynski, Zeses Pitenis, Çağrı Çöltekin
Abstract: We present the results and the main findings of SemEval-2020 Task 12 on Multilingual Offensive Language Identification in Social Media (OffensEval-2020). The task included three subtasks corresponding to the hierarchical taxonomy of the OLID schema from OffensEval-2019, and it was offered in five languages: Arabic, Danish, English, Greek, and Turkish. OffensEval-2020 was one of the most popular tasks at SemEval-2020, attracting a large number of participants across all subtasks and languages: a total of 528 teams signed up to participate in the task, 145 teams submitted official runs on the test data, and 70 teams submitted system description papers.