Based on prior knowledge, there are some general assumptions about the relationship between the feature "Recency" (months since last donation) and the task of whether the person donated blood.

1. Those who donated blood more recently are more likely to donate again.
2. Those who donated blood a long time ago may have a lower likelihood of donating again.
3. There may be a range of time after which the Recency values become less relevant and less predictive of future donations.

With these assumptions in mind, let's create a dictionary that includes 5 typical Recency values for each target class ('yes' and 'no'):

```json
{
	"yes": [6.0, 4.0, 2.0, 1.5, 3.0],
	"no": [25.0, 14.0, 12.0, 19.0, 22.0]
}
```

Note that these values are arbitrary and just serve as an example. The actual values should be based on data analysis and insights from the dataset.