Update README.md

README.md

@@ -9,7 +9,9 @@ tags:
   - robustness
 size_categories:
   - 10K<n<100K
-
+    
+ ---
+ 
 pretty_name: RobustBiasBench
 description: >
   RobustBiasBench consists of 18,404 U.S. policy text excerpts manually annotated
@@ -17,6 +19,8 @@ description: >
   robustness of language models in fairness-critical tasks, with both clean and
   perturbed versions of the data available.
 
+---
+
 dataset_format:
   file_type: csv
   fields:
@@ -28,6 +32,8 @@ dataset_format:
     - policy: "Text excerpt of the policy (typically 1–3 sentences)"
     - bias_type_merged: "Mapped class: one of group_1, group_2, or no_bias"
 
+---
+
 label_schema:
   bias_type:
     group_1: ["economic", "education", "political", "citizenship", "criminal_justice"]
@@ -38,14 +44,15 @@ label_schema:
   normative_framing:
     values: ["explicit", "implicit", "no_bias"]
 
+---
 class_distribution:
   no_bias: 6017
   group_1: 6246
   group_2: 6141
-
+---
 license_details: >
   The dataset is released under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
-  It is intended strictly for academic research use in evaluating fairness and robustness in NLP.
+---
 
 citation: >
   @inproceedings{bonagiri2025robustbiasbench,