Single-step SFT dataset for graphic design editing, generated using the Random Perturbation baseline from the Perturb-and-Invert (P&I) framework.
Each example trains a model to predict a single tool call given the current design state and the history of tool calls applied so far. Trajectories are generated by sampling random tools with valid parameters from the cyberagent/crello template dataset.
Lossy inverses:… See the full description on the dataset page:
https://huggingface.co/datasets/monish-adobe/random-lossy-singlestep-5000.