Update README.md

README.md

@@ -139,7 +139,6 @@ NER powers applications by extracting structured data from unstructured text, en
 
 ![Banner](https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgNRLJk65Yaz8HqORLc2PEqvoC2H-OtNJc72qsEJfv7kX7-hG7jE-ZEIB5Lay_tp86D2edA_6Xj3T_u0DOuSx8Dt9UJahZiVMZEZORifq5XfCj5jA_zrvnRbtLhnC_AfNEocTbNRwzCEY53hCq_cUiL8FyP3THQq9mHbLdaCbxZnbWqqgWoB3DJYrsZk8c/s16000/2.jpg)
 
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 ## NER Tags & Purposes 🏷️
 
 The dataset uses the **BIO tagging scheme**:
@@ -149,7 +148,7 @@ The dataset uses the **BIO tagging scheme**:
 
 Below is a table of the 36 NER tags with their purposes and emojis for visual appeal:
 
-| Tag Name        | Purpose                                                                             
+| Tag Name        | Purpose                                                                 | Emoji |
 |------------------|--------------------------------------------------------------------------|--------|
 | B-CARDINAL        | Beginning of a cardinal number (e.g., "1000")                           | 🔢     |
 | B-DATE            | Beginning of a date (e.g., "January")                                   | 🗓️     |
@@ -197,7 +196,6 @@ For `"Microsoft opened in Tokyo on January 2025"`:
 - **Tokens**: `["Microsoft", "opened", "in", "Tokyo", "on", "January", "2025"]`  
 - **Tags**: `[B-ORG, O, O, B-GPE, O, B-DATE, I-DATE]`
 
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 ## Installation 🛠️
 
 Install dependencies to work with the dataset: