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

Based on the feature description and task, it seems that the feature "n_r_ecg_p_05" represents whether the patient had paroxysms of atrial fibrillation on ECG at the time of admission to the hospital. The feature is a categorical variable with two possible categories: "no" and "yes". 

To analyze the relationship between the feature and the task, we can see that if the value of "n_r_ecg_p_05" is "no", it indicates that the patient did not have paroxysms of atrial fibrillation on the ECG at the time of admission. On the other hand, if the value is "yes", it suggests that the patient experienced paroxysms of atrial fibrillation on the ECG at the time of admission.

Since the task is to determine if the patient shows chronic heart failure based on myocardial infarction complications data, there doesn't seem to be a clear correlation between the presence of paroxysms of atrial fibrillation and chronic heart failure. Therefore, it is not necessary to include any specific values for "n_r_ecg_p_05" in the dictionary, as both "no" and "yes" categories are relevant for both outcome possibilities.