Based on prior knowledge and analysis of the relationship between the feature "Time" and the task "Did the person donate blood?", we can generate a dictionary to summarize the relationship. 

```json
{
	"yes": [2.0, 4.0, 6.0, 8.0, 10.0], 
	"no": [0.0, 1.0, 3.0, 5.0, 7.0]
}
```

In this dictionary, the "yes" key represents the target class where the person donated blood, and the "no" key represents the target class where the person did not donate blood. The values for each target class are a list of typical Time values.

For the "yes" class, typical Time values might be [2.0, 4.0, 6.0, 8.0, 10.0]. These values represent the months since the first donation for people who donated blood.

For the "no" class, typical Time values might be [0.0, 1.0, 3.0, 5.0, 7.0]. These values represent the months since the first donation for people who did not donate blood.

Note: The specific values provided here are just examples and can vary based on the actual dataset and analysis.