Based on prior knowledge, it is difficult to determine a direct relationship between the purpose of the credit and whether a person receives a credit or not. However, we can still analyze the data to identify any patterns.

To create the dictionary, we first need to analyze the relationship between the feature "purpose" and the target variable "Does this person receive a credit?"

Here is the dictionary based on the analysis:

```json
{
	"yes": ["radio/tv", "education", "furniture/equipment", "new car", "used car", "business", "domestic appliance", "repairs"], 
	"no": ["other", "retraining"]
}
```

Please note that the values provided in the dictionary are based on the assumption that there is no missing or incomplete data in the dataset. Additionally, the list of purpose values for the "no" target class only includes the two values that are known to be present.