Dingo is a comprehensive evaluation tool for AI data, models, and applications. It provides automated quality assessment of machine learning datasets, including hallucination detection in generated content and validation of LLM training data. The platform supports evaluation using LLMs as judges and integrates with models like DeepSeek, Qwen, and VLMs for assessment tasks.