DataEvolver: Automatic Data Preparation for Large Language Models through Multi-Level Self-Evolving

High-quality training data is essential to large language models (LLMs) and typically requires extensive and costly manual curation. Automatic data preparation systems support reusable operators and task-driven workflows, yet adapting these workflows to the desired data quality remains challenging.