Based on prior knowledge, we can analyze the relationship between the feature "Frequency" and the task of whether the person donated blood.

In general, it is reasonable to assume that individuals who have donated blood more frequently in the past are more likely to donate blood again in the future. Therefore, we can expect a positive relationship between the feature "Frequency" and the target variable "Did the person donate blood?".

With this understanding, we can generate a dictionary as follows:

```json
{
	"yes": [3.0, 2.0, 1.0, 4.0, 5.0],
	"no": [0.0, 1.0, 2.0, 6.0, 7.0]
}
```

In the above dictionary, we provide example Frequency values for each target class. The values in the "yes" list represent examples of Frequency values for individuals who donated blood ("yes" class), and the values in the "no" list represent examples of Frequency values for individuals who did not donate blood ("no" class). The values are in float format.

Please note that the provided example values are solely for demonstration purposes and should be adjusted based on the specific dataset and analysis conducted.