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

Based on the given feature "n_r_ecg_p_05" and the task of determining whether the patient's myocardial infarction complications data shows chronic heart failure, it appears that the feature directly indicates the occurrence of paroxysms of atrial fibrillation on an ECG at the time of admission to the hospital. The feature has two possible categories: "no" if there are no paroxysms of atrial fibrillation, and "yes" if there are paroxysms of atrial fibrillation.

Since the task is to determine if there is chronic heart failure, it is not explicitly clear how the feature "n_r_ecg_p_05" relates to chronic heart failure. However, we can still provide a dictionary indicating the possible values of "n_r_ecg_p_05" for each class of the target variable:

- For the target class "no" (indicating no chronic heart failure), the possible values of "n_r_ecg_p_05" are ["no"].
- For the target class "yes" (indicating chronic heart failure), the possible values of "n_r_ecg_p_05" are ["yes"].

Please note that this analysis assumes that "n_r_ecg_p_05" solely represents the presence or absence of paroxysms of atrial fibrillation and does not provide direct information on chronic heart failure.