Overview AURA-Chat-Edit is a large-scale conversational music editing dataset used to train AURA, a unified multimodal framework for conversational music editing. The dataset contains 66,539 multi-turn dialogues pairing natural-language edit instructions with structured edit-token outputs across 7 edit types. Each dialogue simulates a user requesting a music edit (e.g., "remove the drums", "add a jazzy