Update README.md

README.md

@@ -19,7 +19,7 @@ Full details are available in our paper:
 ---
 
 ## 📊 Model Variants and LAS (Labeled Attachment Score) on TEST
-||Checkpoint|Training Data|TEST LAS (MSA)|TEST LAS (EGY)|TEST LAS(GLF)|TEST LAS(AVG)|
+||Checkpoint|Training Data|MSA|EGY|GLF|AVG|
 |:-----:|:-----|:--------|:--------|:--------|:--------|:--------|
 ||`CAMeL-Lab/camelparser-dialects-MSA`|CamelTB, PATB|87.3|73.0|73.3|77.9|
 ||`CAMeL-Lab/camelparser-dialects-EGY`|ARZTB|79.2|83.9|68.7|77.3|
@@ -27,7 +27,7 @@ Full details are available in our paper:
 ||`CAMeL-Lab/camelparser-dialects-MSA-EGY`|CamelTB, PATB, ARZTB|87.1|84.4|70.1|79.8|
 ||`CAMeL-Lab/camelparser-dialects-MSA-GLF`|CamelTB, PATB, CamelTB-Gumar|87.2|74.4|81.0|80.9|
 ||`CAMeL-Lab/camelparser-dialects-EGY-GLF`|ARZTB, CamelTB-Gumar|80.0|83.8|79.4|81.1|
-|☑️|**`CAMeL-Lab/camelparser-dialects-MSA-EGY-GLF`**|CamelTB, PATB, ARZTB, CamelTB-Gumar|87.2|84.2|80.3|83.9|
+|☑️|`CAMeL-Lab/camelparser-dialects-MSA-EGY-GLF`|CamelTB, PATB, ARZTB, CamelTB-Gumar|87.2|84.2|80.3|83.9|
 
 The recommended checkpoint is the **all-variety model (`MSA-EGY-GLF`)**, which provides the best overall cross-dialect performance.