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A social media company is planning to implement a large language model (LLM) for content moderation to automatically flag inappropriate or harmful content. To ensure the model is fair and does not show bias or discrimination against specific groups or individuals, the company needs to evaluate the model's outputs regularly for potential bias. The team is considering different data sources for this evaluation but wants to choose an option that minimizes administrative effort while still providing reliable and comprehensive insights into any biases or discrimination present in the LLM's outputs. Given these requirements, which data source would be most suitable?