Token Classification
spaCy
English
Eval Results
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@@ -7,7 +7,18 @@ language:
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  license: mit
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  model-index:
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  - name: en_legal_ner_trf
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- results: []
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  Indian Legal Named Entity Recognition: Identifying relevant entities in an Indian legal document
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@@ -39,6 +50,6 @@ Indian Legal Named Entity Recognition: Identifying relevant entities in an India
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  | Type | Score |
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  | --- | --- |
 
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  | `Precision` | 91.474 |
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  | `Recall` | 89.956 |
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- | **`F1-Score`** | **90.709** |
 
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  license: mit
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  model-index:
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  - name: en_legal_ner_trf
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+ results:
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+ - task:
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+ type: token-classification # Required. Example: automatic-speech-recognition
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+ name: Named Entity Recognition # Optional. Example: Speech Recognition
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+ dataset:
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+ type: Named Entity Recognition
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+ name: Indian Legal NER
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+ split: Test # Optional. Example: test
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+ metrics:
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+ - type: F1-Score # Required. Example: wer. Use metric id from https://hf.co/metrics
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+ value: 90.709 # Required. Example: 20.90
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+ name: Test F1-Score # Optional. Example: Test WER
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  ---
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  Indian Legal Named Entity Recognition: Identifying relevant entities in an Indian legal document
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  | Type | Score |
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  | --- | --- |
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+ | **F1-Score** | **90.709** |
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  | `Precision` | 91.474 |
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  | `Recall` | 89.956 |