Task: Question Answering
Input (English): n the OLID dataset, we use a hierarchical annotation model split into three levels to distinguish between whether language is offensive or not (A), and type (B) and target (C) of the offensive language. Each level is described in more detail in the following subsections and examples are shown in Table TABREF10 . Level A: Offensive language Detection
Level A discriminates between offensive (OFF) and non-offensive (NOT) tweets. Level B: Categorization of Offensive Language
Level B categorizes the type of offense and two labels are used: targeted (TIN) and untargeted (INT) insults and threats. Level C: Offensive Language Target Identification
Level C categorizes the targets of insults and threats as individual (IND), group (GRP), and other (OTH). 
 Question: What are the three layers of the annotation scheme?
Output (English): Level A: Offensive language Detection
 Level B: Categorization of Offensive Language
 Level C: Offensive Language Target Identification