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Update README.md

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@@ -115,7 +115,7 @@ The metric takes four optional input parameters: __label2id__, __stuff__, __per_
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  - average the "scores"
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  - sum up the "numbers"
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  * `split_sq_rq: bool = True`: By default, the PQ-score is returned in three parts: the PQ score itself, and split into the segmentation quality (SQ) and recognition quality (RQ) part.
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- Setting this to False will aggregate return the PQ score only (PQ=RQ*SQ).
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  ## Output Values
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  A dictionary containing the following keys:
 
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  - average the "scores"
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  - sum up the "numbers"
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  * `split_sq_rq: bool = True`: By default, the PQ-score is returned in three parts: the PQ score itself, and split into the segmentation quality (SQ) and recognition quality (RQ) part.
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+ Setting this to False will return the PQ score only (PQ=RQ*SQ).
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  ## Output Values
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  A dictionary containing the following keys: