```json
{
    "no": [
        "no"
    ],
    "yes": [
        "yes"
    ]
}
```

Based on the feature description and task at hand, it seems that the feature "fibr_ter_06" denotes the administration of fibrinolytic therapy using Celiasum 500k IU. The feature is categorical with two possible values: "no" and "yes".

To determine if the myocardial infarction complications data shows chronic heart failure, we can analyze the relationship between the feature and the target variable.

In this case, since we are only interested in whether chronic heart failure is present or not, we can focus on the values of the feature and their distribution across the target classes.

From the available information, it appears that patients with chronic heart failure could have received fibrinolytic therapy as indicated by the "yes" value of the feature "fibr_ter_06". Conversely, patients without chronic heart failure might not have received fibrinolytic therapy, leading to the "no" value of the feature.

The dictionary provided is generated based on the assumption that patients with chronic heart failure might have received fibrinolytic therapy while patients without chronic heart failure might not have. The dictionary shows the possible values of the feature "fibr_ter_06" for each target class:

- For the target class "no", the only possible value of the feature "fibr_ter_06" is "no".
- For the target class "yes", the only possible value of the feature "fibr_ter_06" is "yes".

This analysis suggests that the presence of the value "yes" in the feature "fibr_ter_06" could indicate the likelihood of chronic heart failure in the myocardial infarction complications data, while the presence of the value "no" might indicate the absence of chronic heart failure.