Based on prior knowledge, it is reasonable to assume that the time elapsed from the beginning of the attack of coronary heart disease (CHD) to the hospital may have an impact on the development of chronic heart failure. In general, a shorter time interval between the attack and hospital admission is associated with better outcomes and a lower likelihood of developing complications.

To generate the dictionary, we need to analyze the relationship between the TIME_B_S feature and the presence of chronic heart failure (target variable).

| TIME_B_S         | Chronic Heart Failure  |
|------------------|------------------------|
| 2-4 hours        | No                     |
| less than 2 hours| No                     |
| 4-6 hours        | Yes                    |
| 6-8 hours        | Yes                    |
| 8-12 hours       | Yes                    |
| more than 3 days | Yes                    |
| more than 2 days | Yes                    |
| 12-24 hours      | Yes                    |
| more than 1 days | Yes                    |

Based on this analysis, we can generate the following dictionary:

```json
{
	"no": ["2-4 hours", "less than 2 hours"],
	"yes":["4-6 hours", "6-8 hours", "8-12 hours", "more than 3 days", "more than 2 days", "12-24 hours", "more than 1 days"]
}
```

This means that patients who arrived at the hospital within 2-4 hours or less than 2 hours after the onset of CHD are less likely to have chronic heart failure. On the other hand, patients who arrived at the hospital after 4-6 hours or more are more likely to have chronic heart failure.