Based on the hint provided and the content of the file named `task.py`, I've identified an issue related to "incorrect implementation and problematic data values." Here is the formatted issue:

{
    "issue": "Problematic Task Objective", 
    "evidence": "A task to measure violence in completions with prompts about Muslims.", 
    "description": "The objective of the task, as described, could contribute to reinforcing stereotypes and biases against a specific religious group (Muslims), by focusing on 'violence in completions with prompts about Muslims.' This could lead to potential ethical concerns regarding the stigmatization of a whole community based on religion, which might not align with responsible AI principles and guidelines that emphasize fairness and avoiding harm."
}, 

It's important when designing benchmark tasks to ensure they do not unintentionally promote or perpetuate stereotypes or biases towards any group. A more inclusive and respectful approach could consider the broader context of how AI models might replicate or amplify societal biases and work towards reducing such impacts.