Based on prior knowledge, I can analyze the relationship between the feature "capital-loss" and the task of determining whether a person earns more than $50,000 per year.

Analyzing the relationship between "capital-loss" and the target variable:

1. In general, a higher value of capital loss indicates a decrease in earnings.
2. If a person has a high capital loss, it is more likely that they earn less than $50,000 per year.

Based on this analysis, here is the generated dictionary:

```json
{
	"no": [0, 1, 1902, 1977, 1980],
	"yes": [1887, 1974, 1876, 2415, 1485]
}
```

Explanation of the generated dictionary:

- For the "no" class (earning less than $50,000 per year), some possible values of "capital-loss" are 0, 1, 1902, 1977, and 1980.
- For the "yes" class (earning more than $50,000 per year), some possible values of "capital-loss" are 1887, 1974, 1876, 2415, and 1485.

Please note that these values are just examples and may not represent the actual distribution of the "capital-loss" feature.