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@@ -26,6 +26,11 @@ computes precision, recall and F1 scores.
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  ## How to Use
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  Sem-F1 takes 2 mandatory arguments:
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  - `predictions` - List of predictions. Format varies based on `tokenize_sentences` and `multi_references` flags.
 
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  ## How to Use
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+ Before using this metric, you need to install the dependencies -
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+ ```bash
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+ pip install -U sentence-transformers scikit-learn nltk
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+ ```
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+
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  Sem-F1 takes 2 mandatory arguments:
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  - `predictions` - List of predictions. Format varies based on `tokenize_sentences` and `multi_references` flags.