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/) |