Based on prior knowledge, the feature "Oldpeak" represents the amount of depression in ST segment during exercise compared to rest. In the context of coronary angiography, a higher value of Oldpeak indicates a higher likelihood of heart disease.

To generate the dictionary, we need to analyze the relationship between the feature "Oldpeak" and the task of determining whether the coronary angiography shows a heart disease or not. In this case, the target class "yes" corresponds to the presence of heart disease, and the target class "no" corresponds to the absence of heart disease.

Here is the analysis and dictionary for the given feature:

```json
{
	"no": [0.5, 1.0, 1.5, 2.0, 2.5],
	"yes": [2.5, 3.0, 3.5, 4.0, 4.5]
}
```

Explanation:
- For the target class "no" (absence of heart disease), typical values of feature "Oldpeak" are 0.5, 1.0, 1.5, 2.0, and 2.5.
- For the target class "yes" (presence of heart disease), typical values of feature "Oldpeak" are 2.5, 3.0, 3.5, 4.0, and 4.5.

Note: The examples provided are for illustrative purposes. The actual values may vary depending on the specific dataset and analysis.