ProCUA-SFT is a large-scale synthetic trajectory dataset for training computer-use agents (CUAs): models that operate graphical desktop environments from screenshots using mouse, keyboard, and code-like actions. The dataset accompanies the ProCUA-SFT Technical Report and is designed for supervised fine-tuning of screenshot-based desktop agents.
This repository contains the raw trajectory artifacts used to construct those step-prefix SFT samples: trajectory JSON files… See the full description on the dataset page:
https://huggingface.co/datasets/nvidia/ProCUA-SFT.
