Update README.md

README.md

@@ -14,6 +14,7 @@ task_categories:
 task_ids:
 - hate-speech-detection
 - sentiment-classification
+- multi-label-classification
 pretty_name: measuring-hate-speech
 tags:
 - arxiv:2009.10277
@@ -30,13 +31,13 @@ tags:
 
 # Dataset card for _Measuring Hate Speech_
 
-This is a public release of the dataset described in Kennedy et al. (2020), consisting of 39,565 comments annotated by 7,912 annotators, for 135,556 combined rows. The primary outcome variable is the "hate speech score" but the 10 constituent labels (sentiment, (dis)respect, insult, humiliation, inferior status, violence, dehumanization, genocide, attack/defense, hate speech benchmark) can also be treated as outcomes.  Includes 8 target identity groups (race/ethnicity, religion, national origin/citizenship, gender, sexual orientation, age, disability, political ideology) and 42 identity subgroups.
+This is a public release of the dataset described in Kennedy et al. (2020) and Sachdeva et al. (2022), consisting of 39,565 comments annotated by 7,912 annotators, for 135,556 combined rows. The primary outcome variable is the "hate speech score" but the 10 constituent ordinal labels (sentiment, (dis)respect, insult, humiliation, inferior status, violence, dehumanization, genocide, attack/defense, hate speech benchmark) can also be treated as outcomes.  Includes 8 target identity groups (race/ethnicity, religion, national origin/citizenship, gender, sexual orientation, age, disability, political ideology) and 42 target identity subgroups, as well as 6 annotator demographics and 40 subgroups.
 
 This dataset card is a work in progress and will be improved over time.
 
 ## Key dataset columns
 
- * hate_speech_score - continuous hate speech measure, where higher = more hateful and lower = less hateful
+ * hate_speech_score - continuous hate speech measure, where higher = more hateful and lower = less hateful. > 0.5 is approximately hate speech, < -1 is counter or supportive speech, and -1 to +0.5 is neutral or ambiguous.
  * text - lightly processed text of a social media post
  * comment\_id - unique ID for each comment
  * annotator\_id - unique ID for each annotator