Based on the feature description and the task, we need to analyze the relationship between the feature "ant_im" and the presence of chronic heart failure in myocardial infarction complications data.

Since the feature "ant_im" represents the presence of an anterior myocardial infarction, it is possible that the presence or absence of chronic heart failure may be related to different values of this feature. However, without further information, it is difficult to predict the exact relationship between the feature and the target.

To generate the dictionary, we will assume that the feature values with a higher likelihood of indicating chronic heart failure will be included in the dictionary for the "yes" class. The feature values with a lower likelihood or unclear relationship with chronic heart failure will be included in the dictionary for the "no" class.

Here is the generated dictionary:

```json
{
	"no": ["QRS is like QS-complex", "QRS has no changes", "there is no infarct in this location"],
	"yes": ["QRS is like QR-complex", "QRS is like Qr-complex"]
}
```

Please note that this is a general analysis based on assumptions and limited information. The actual relationship between the feature and the target may vary depending on the specific dataset and domain knowledge. It is recommended to perform further analysis and consult experts for a more accurate understanding.