datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
GUIGuard-Bench
GUIGuard-Bench (Public Ladder)
GUIGuard-Bench is a cross-platform GUI agent benchmark for studying privacy risks and privacy-preserving execution in multimodal GUI agents.
This public-ladder release contains 121 GUI interaction trajectories (68 Android + 53 PC) for benchmark evaluation, with 26,407 region-level privacy annotations across 2,002 screenshots.
For the anonymous review version of the evaluation toolkit, see GUIGaurd-Bench-CA4F.
Dataset Summary
GUI agents… See the full description on the dataset page: https://huggingface.co/datasets/ShaofantuoshuzhengzhiSha/GUIGuard-Bench.human-activity-pose_v4
🧍 Human Activity Pose Dataset (Split Version)
This dataset contains human pose landmarks extracted with MediaPipe Pose,
annotated with activity labels and textual descriptions in English.
Dataset structure
train/ — 80% of samples for training
validation/ — 20% of samples for validation
Each record includes:
33 pose keypoints (fields: x, y, z, visibility)
label: activity name (e.g., reading, dancing, office_work)
description: a short textual description of the action… See the full description on the dataset page: https://huggingface.co/datasets/guillherms/human-activity-pose_v4.two-box-judge-gui-sharded
Two-Box Judge GUI Dataset (Sharded)
A multimodal dataset for training GUI element selection models, packaged in WebDataset format for efficient streaming.
Dataset Statistics
Split
Samples
Shards
Size
Train
115,638
6
25.32 GB
Validation
12,849
1
2.82 GB
Format
This dataset uses WebDataset format - sharded tar.gz archives for efficient streaming:
train/
├── shard-00000.tar.gz
├── shard-00001.tar.gz
└── ...
Each shard contains… See the full description on the dataset page: https://huggingface.co/datasets/THU-BoZhang/two-box-judge-gui-sharded.