Dingo is an open-source tool for evaluating AI training data quality. It provides 100+ rule-based and LLM-based metrics to assess pre-training datasets, fine-tuning data, and RAG systems. Features include a visual Web UI, RESTful API, and Python SDK.
Visit GitHub for documentation and source code.