Update README.md

README.md

@@ -23,13 +23,15 @@ task_ids:
 - sentiment-classification
 ---
 
-# Measuring Hate Speech
+# Dataset card for _Measuring Hate Speech_
 
 This is a public release of the dataset described in Kennedy et al. (2020). The dataset contains one row for each comment that an annotator reviews; each comment is rated multiple times. The primary outcome variable is the "hate speech score" but the 10 constituent labels can also be treated as outcomes.
 
+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
  * text - lightly processed text of a social media post
  * comment\_id - unique ID for each comment
  * annotator\_id - unique ID for each annotator
@@ -57,6 +59,10 @@ This is a public release of the dataset described in Kennedy et al. (2020). The
 }
 ```
 
+## Contributions
+
+Dataset curated by [@ck37](https://github.com/ck37), [@pssachdeva](https://github.com/pssachdeva), et al.
+
 ## References
 
 Kennedy, C. J., Bacon, G., Sahn, A., & von Vacano, C. (2020). [Constructing interval variables via faceted Rasch measurement and multitask deep learning: a hate speech application](https://arxiv.org/abs/2009.10277). arXiv preprint arXiv:2009.10277.