Based on the given feature "n_p_ecg_p_08" and the task of determining whether the myocardial infarction complications data of this patient shows chronic heart failure, we can analyze the relationship between the feature and the target variable.

The feature "n_p_ecg_p_08" represents the presence or absence of Left Bundle Branch Block (LBBB) on ECG at the time of admission to the hospital. LBBB is a conduction abnormality seen on an electrocardiogram (ECG) that can lead to various cardiac complications.

To analyze the relationship between "n_p_ecg_p_08" and chronic heart failure, we can consider prior knowledge regarding the association between LBBB and chronic heart failure. LBBB can be a marker of underlying heart disease, and in some cases, it can be associated with the development of chronic heart failure. However, it is important to note that not all patients with LBBB will develop chronic heart failure, as it can also be present in individuals without heart failure.

To create the required dictionary, we will divide the possible values of "n_p_ecg_p_08" (i.e., 'yes' or 'no') based on the target class.

Here is the generated dictionary:

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

Please note that since it is not stated whether there are other possible values for "n_p_ecg_p_08," we assume that the only possible values are 'yes' and 'no'. If there are additional values, they can be added to the respective lists in the dictionary.