Update README.md

README.md

@@ -49,7 +49,7 @@ This metric takes 2 inputs, prediction and references(ground truth). Both of the
 ### Inputs
 - **predictions** (`list` of `list`s of `dictionary`s): relation and its type of prediction
 - **references** (`list` of `list`s of `dictionary`s): references for each relation and its type.
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 ### Output Values
 
 **output** (`dictionary` of `dictionary`s) with multiple key-value pairs
@@ -70,7 +70,7 @@ This metric takes 2 inputs, prediction and references(ground truth). Both of the
   - **Macro_f1** : macro f1 score
   - **Macro_p** : macro precision
   - **Macro_r** : macro recall
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 Output Example:
 ```python
 {'sell': {'tp': 1, 'fp': 1, 'fn': 1, 'p': 50.0, 'r': 50.0, 'f1': 50.0}, 'ALL': {'tp': 1, 'fp': 1, 'fn': 1, 'p': 50.0, 'r': 50.0, 'f1': 50.0, 'Macro_f1': 50.0, 'Macro_p': 50.0, 'Macro_r': 50.0}}