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

Based on the provided description, the feature `nr_01` represents premature atrial contractions in the patient's medical history. Since the feature is categorical with two possible categories: 'no' and 'yes', we can directly map these categories to the target variable, which is chronic heart failure. 

For the task of determining if the myocardial infarction complications data shows chronic heart failure, we can conclude the following relationship:

- If the patient has no premature atrial contractions in their medical history (nr_01 = 'no'), then the myocardial infarction complications data of this patient does not show chronic heart failure.
- If the patient has had premature atrial contractions in their medical history (nr_01 = 'yes'), then the myocardial infarction complications data of this patient shows chronic heart failure.

Therefore, the dictionary representing the relationship between the feature `nr_01` and the target variable is as follows:

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

The lists within the dictionary represent the possible values of the feature `nr_01` for each target class: 'no' and 'yes'.