Update README.md

README.md

@@ -34,7 +34,7 @@ This dataset was sourced for a large Twitter dataset of 2.2 billion tweets poste
 
 ### Annotation
 
-We recruited a team of four annotators, two female and two male, each of them from one of the four most populated Nigerian ethnic groups -- Hausa, Yoruba, Igbo and Fulani. 
+We recruited a team of four Nigerian annotators, two female and two male, each of them from one of the four most populated Nigerian ethnic groups -- Hausa, Yoruba, Igbo and Fulani. 
 We followed a prescriptive approach by instructing annotators to strictly adhere to extensive annotation guidelines describing our taxonomy of hate speech (see reference paper for full guidelines). 
 Tweets are annotated as belonging to one of three classes: 
 - hateful (`2` in the `class` column) if it contains an attack on an individual or a group based on the perceived possession of a certain characteristic (e.g., gender, race)