Based on prior knowledge, the feature "Oldpeak" represents the ST depression induced by exercise relative to rest, measured in millimeters. Higher values of Oldpeak indicate a more severely depressed ST segment.

To analyze the relationship between Oldpeak and the presence of heart disease, we can look at data from patients who have undergone coronary angiography. Coronary angiography is a medical procedure used to visualize the blood vessels supplying the heart. In this context, the presence of heart disease can be determined by whether the coronary angiography results show any abnormalities in the heart's blood vessels.

To create the required dictionary, we will examine the values of Oldpeak for patients with and without heart disease ('yes' and 'no' targets, respectively). We will consider typical Oldpeak values for each target class based on their prevalence in the dataset.

Here is the dictionary with the requested details:

```json
{
	"no": [0.0, 0.5, 1.0, 1.5, 2.0],
	"yes": [1.5, 2.0, 2.5, 3.0, 3.5]
}
```

In this dictionary, the "no" key represents patients without heart disease, and the "yes" key represents patients with heart disease. The corresponding lists contain typical Oldpeak values for each class. Note that these values are provided as examples and may not be precise representations of the dataset you are working with.