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@@ -75,7 +75,7 @@ It achieves the following results on the evaluation set:
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  ## Model description
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  This model is for reference-free, long-context quality estimation (QE) of machine translation (MT) systems.
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- It is trained on a dataset of texts of up to 32 sentences (64 sentences for the source and target).
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  Hence, this model is suitable for document-level quality estimation.
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  ## Training and evaluation data
 
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  ## Model description
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  This model is for reference-free, long-context quality estimation (QE) of machine translation (MT) systems.
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+ It is trained on a dataset of translation pairs comprising up to 32 sentences (64 sentences for the source and target).
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  Hence, this model is suitable for document-level quality estimation.
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  ## Training and evaluation data