Update README.md

README.md

@@ -24,7 +24,7 @@ The dataset contains tweet data annotations of **hate speech** (HS) and **offens
 
 - In Conditions D and E, the two tasks are treated independently with annotators being asked to first annotate all tweets for one task, followed by annotating all tweets again for the second task.
   + Annotators assigned **<font color=green>Condition D</font>** were first asked to annotate hate speech for all their assigned tweets, and then asked to annotate offensive language for the same set of tweets.
-  + **Condition E** worked the same way, but started with the offensive language annotation task followed by the HS annotation task.
+  + **Condition E** worked the same way, but started with the offensive language annotation task followed by the hate speech annotation task.
 
 We recruited 917 (?) annotators via the crowdsourcing platform [Prolific](https://www.prolific.com/) during November and December 2022. Only platform members in the US were eligible. Each annotator annotated up to 50 tweets. The dataset also contains demographic informations of the annotators. 
 Annotators received a fixed hourly wage in excess of the US federal minimum wage after completing the task.