dropped a phrase

dcat/index.html

@@ -1735,7 +1735,7 @@ <h3>Class: Distribution</h3>
             However, in other cases the distributions might have different levels of fidelity to the underlying data.
             For example, a graphical representation about the data on a CSV file may not contain the same total information recorded in the CSV file, but they could be considered as two distributions for the same dataset as they are about the same data.
             As a counter-example, budget data for different years would usually be modelled as different datasets, each with their own distributions, since all distributions of one dataset should broadly contain the same data.
-            Nevertheless, the question of whether different representations can be understood to be distributions of the same dataset is use-case specific, so the judgement is the responsibility of the provider. </p>
+            Nevertheless, the question of whether different representations can be understood to be distributions of the same dataset is use-case specific, so the judgement about how to describe them is the responsibility of the provider. </p>
 
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