Based on prior knowledge, the occupation of an individual can be a significant predictor of whether they earn more than 50000 dollars per year. Certain occupations, such as 'Exec-managerial' and 'Prof-specialty', are typically associated with higher income levels, while occupations such as 'Other-service' and 'Priv-house-serv' are associated with lower income levels.

However, since the feature description includes a category labeled as '?', it is difficult to determine its relationship with the target variable. We will not include this category in the dictionary unless it is associated with one of the target classes.

Here is the generated dictionary:

```json
{
	"no": ["Machine-op-inspct", "Farming-fishing", "Other-service", "Craft-repair", "Adm-clerical", "Handlers-cleaners"],
	"yes": ["Protective-serv", "Prof-specialty", "Exec-managerial", "Tech-support", "Sales", "Transport-moving", "Armed-Forces"]
}
```

Please note that this dictionary includes only the occupation categories that are associated with each target class.