Update README.md

README.md

@@ -1,5 +1,11 @@
 ---
-license: mit
+license: cc-by-nc-4.0
+tags:
+- algebra
+- misconceptions
+- math
+language:
+- en
 ---
 # **MaE: Math Misconceptions and Errors Dataset**
 
@@ -133,4 +139,4 @@ These results demonstrate that:
 2. The model performs best when evaluating misconceptions within their specific topic domains
 3. Expert validation plays a crucial role in improving accuracy assessments and validating models accuracy
 
-The experimental outcomes suggest that while AI can effectively identify many common mathematical misconceptions, its performance is optimized when operating within specific topic constraints and supplemented by expert oversight.
+The experimental outcomes suggest that while AI can effectively identify many common mathematical misconceptions, its performance is optimized when operating within specific topic constraints and supplemented by expert oversight.