After conducting a thorough analysis of the relationship between the feature "n_r_ecg_p_05" and the task of determining whether the myocardial infarction complications data show chronic heart failure, here is the dictionary with the specific details:

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

Since the feature "n_r_ecg_p_05" represents paroxysms of atrial fibrillation on the ECG at the time of admission to the hospital, it is a categorical variable with two possible categories: "no" and "yes". 

Based on the analysis, the feature value "no" indicates the absence of paroxysms of atrial fibrillation on the ECG at the time of admission, while the value "yes" indicates the presence of such paroxysms. 

The dictionary above captures these relationships, where the key "no" corresponds to a list containing the value "no" (representing absence) and the key "yes" corresponds to a list containing the value "yes" (representing presence).

Note: Since the task pertains specifically to chronic heart failure, other possible values of the feature that are hard to predict or irrelevant to the task are not included in the dictionary.