Based on prior knowledge, we can analyze the relationship between the `installment_commitment` feature and the task of determining whether a person receives credit or not.

Typically, a higher installment commitment percentage indicates that a larger portion of the person's disposable income is being used to cover loan installments. This may suggest a higher risk of defaulting on credit. Therefore, we can expect a higher installment commitment percentage to be associated with the target class "no," indicating that the person does not receive credit.

To generate the requested dictionary, we will include 5 typical installment commitment values for each target class. Here is the generated dictionary:

```json
{
	"yes": [5.0, 10.0, 15.0, 20.0, 25.0],
	"no": [30.0, 35.0, 40.0, 45.0, 50.0]
}
```