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Update README.md

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@@ -111,7 +111,7 @@ The metric takes four optional input parameters: __label2id__, __stuff__, __per_
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  ["WATER", "SKY", "LAND", "CONSTRUCTION", "ICE", "OWN_BOAT"]`
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  * `per_class: bool = True`: By default, the results are split up per class.
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- Setting this to False will aggregate the results (average the _scores_, sum up the _numbers_; see below for explanation of _scoress_ and _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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  ["WATER", "SKY", "LAND", "CONSTRUCTION", "ICE", "OWN_BOAT"]`
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  * `per_class: bool = True`: By default, the results are split up per class.
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+ Setting this to False will aggregate the results (average the _scores_, sum up the _numbers_; see below for explanation of _scores_ and _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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