datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Uni-GUI-OpenCUA
Uni-GUI-OpenCUA
A post-processed desktop GUI agent trajectory dataset derived from OpenCUA, used as part of the training data for UI-MOPD (Multi-platform On-Policy Distillation for Continual GUI Agent Learning).
Overview
Uni-GUI-OpenCUA contains 832 trajectories with ~14K interaction steps across 11 desktop applications and task categories. The raw OpenCUA trajectories have been cleaned, filtered, and post-processed through our Unified Cross-Platform Data… See the full description on the dataset page: https://huggingface.co/datasets/UI-MOPD/Uni-GUI-OpenCUA.OpenCUA
cua-lite/OpenCUA
cua-lite preprocessed version of xlangai/AgentNet (OpenCUA). Desktop use trajectories from Ubuntu and Windows/Mac environments with pyautogui-style actions converted to CUA-lite tool calls.
Origin
https://huggingface.co/datasets/xlangai/AgentNet
Load via datasets
from datasets import load_dataset
# entire dataset
ds = load_dataset("cua-lite/OpenCUA")
# just one (platform, task_type) cohort
ds = load_dataset("cua-lite/OpenCUA"… See the full description on the dataset page: https://huggingface.co/datasets/cua-lite/OpenCUA.OpenCUAVideosOpenCUA_Envopen-cuaopencua-subset