After analyzing the relationship between the feature "nr_02" (Premature ventricular contractions in the anamnesis) and the task of determining whether the myocardial infarction complications data shows chronic heart failure, we can create the following dictionary:

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

Since the feature "nr_02" is a categorical variable with two possible categories, "no" and "yes", we can conclude that if the value of "nr_02" is "no", then the myocardial infarction complications data does not show chronic heart failure (target class "no"). Conversely, if the value of "nr_02" is "yes", then the data shows chronic heart failure (target class "yes").

Note: If there are other potential values for the feature "nr_02" which are hard to predict or are not relevant for the task, they are not included in the dictionary to ensure that the list for each target class is not empty.