Update README.md

README.md

@@ -9,16 +9,16 @@ model-index:
 - name: en_legal_ner_trf
   results:
   - task:
-      type: token-classification             # Required. Example: automatic-speech-recognition
-      name: Named Entity Recognition              # Optional. Example: Speech Recognition
+      type: token-classification             
+      name: Named Entity Recognition              
     dataset:
       type: Named Entity Recognition 
-      name: Indian Legal NER
-      split: Test        # Optional. Example: test
+      name: InLegalNER
+      split: Test       
     metrics:
-      - type: F1-Score         # Required. Example: wer. Use metric id from https://hf.co/metrics
-        value: 90.709       # Required. Example: 20.90
-        name: Test F1-Score         # Optional. Example: Test WER     
+      - type: F1-Score         
+        value: 90.709
+        name: Test F1-Score              
 ---
 Indian Legal Named Entity Recognition: Identifying relevant entities in an Indian legal document
 
@@ -30,7 +30,7 @@ Indian Legal Named Entity Recognition: Identifying relevant entities in an India
 | **Default Pipeline** | `transformer`, `ner` |
 | **Components** | `transformer`, `ner` |
 | **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
-| **Sources** | [Indian Legal NER Training data](https://storage.googleapis.com/indianlegalbert/OPEN_SOURCED_FILES/NER/NER_TRAIN.zip) [GitHub](https://github.com/Legal-NLP-EkStep/legal_NER)|
+| **Sources** | [InLegalNER Train Data](https://storage.googleapis.com/indianlegalbert/OPEN_SOURCED_FILES/NER/NER_TRAIN.zip) [GitHub](https://github.com/Legal-NLP-EkStep/legal_NER)|
 | **License** | `MIT` |
 | **Author** | [Aman Tiwari](https://www.linkedin.com/in/amant555/) |