Based on prior knowledge, we can analyze the relationship between the feature "IM_PG_P" (Presence of a right ventricular myocardial infarction) and the task of determining if the patient shows chronic heart failure. 

Since "IM_PG_P" represents the presence or absence of a right ventricular myocardial infarction, it is likely that patients with a right ventricular myocardial infarction might have a higher likelihood of developing chronic heart failure. However, it is important to note that this relationship might not hold true for all cases, as other factors and conditions can also contribute to the development of chronic heart failure. 

Based on the feature description, we can generate the dictionary as follows:

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

In this case, the "IM_PG_P" feature can only take two possible values: "no" and "yes". For the target class "no", the only value of the feature is "no". For the target class "yes", the only value of the feature is "yes". Since there are no other values mentioned for each target class, we include only those values in the dictionary.

Please note that this analysis is based on the provided feature description and might not capture the full complexity of the relationship between the feature and the target variable.