Update README.md

README.md

@@ -27,8 +27,10 @@ task_ids:
 HateCheck is a suite of functional test for hate speech detection models. 
 The dataset contains 3,728 validated test cases in 29 functional tests.
 19 functional tests correspond to distinct types of hate. The other 11 functional tests cover challenging types of non-hate.
+This allows for targeted diagnostic insights into model performance.
 
-For more information on the dataset as well as a data statement, please refer to our ACL publication about HateCheck.
+In our ACL paper, we found critical weaknesses in all commercial and academic hate speech detection model that we tested with HateCheck. 
+Please refer to the paper (linked below) for results and further discussion, as well as further information on the dataset and a full data statement.
 
 - **Paper:** Röttger et al. (2021) - HateCheck: Functional Tests for Hate Speech Detection Model. https://aclanthology.org/2021.acl-long.4/ 
 - **Repository:** https://github.com/paul-rottger/hatecheck-data
@@ -74,7 +76,7 @@ The equivalent, but for template IDs.
 The unique ID of the template from which the test case was generated (assigned to each of the 866 cases and templates from which we generated the 3,901 initial cases).
 
 
-### Citation Information
+## Citation Information
 
 When using HateCheck, please cite our ACL paper: