Based on prior knowledge, we can conduct an analysis of the relationship between the feature "nr_08" (Ventricular paroxysmal tachycardia in the anamnesis) and the task of determining whether the patient shows chronic heart failure. We need to analyze how the different categories of "nr_08" relate to the presence or absence of chronic heart failure.

To create the dictionary, we will examine the values of the feature "nr_08" for each target class ("no" and "yes") with regards to chronic heart failure.

Here is an example of a dictionary that follows the required format:

```json
{
	"no": ["no", "no", "no"],
	"yes": ["yes", "no", "no", "yes"]
}
```

In this example, we can see that for the target class "no" (absence of chronic heart failure), the feature values for "nr_08" are consistently "no". However, for the target class "yes" (presence of chronic heart failure), there is some variability in the feature values, with both "yes" and "no" values present.

Based on this analysis, we can generate the required dictionary for the relationship between the feature "nr_08" and the presence or absence of chronic heart failure.