uig
Datasets
All datasets matching “uig”UI-Genie-Agent-16kThis repository contains the Trajectory dataset from the paper UI-Genie: A Self-Improving Approach for Iteratively Boosting MLLM-based
Mobile GUI Agents.
Github: https://github.com/Euphoria16/UI-Genie
UI-Grounding-Benchmarks
UI-Grounding-Benchmarks
This is a collection of UI grounding benchmarks:
ScreenSpot
ScreenSpot-V2
ScreenSpot-Pro
OS-World-G
UI-Vision
Thanks for their great work!
This benchmark collection is used in the paper:
FocusUI: Efficient UI Grounding via Position-Preserving Visual Token Selection
🖼️ Project Page: https://showlab.github.io/FocusUI/
🏠 Github Repo: https://github.com/showlab/FocusUI
📝 Paper: https://arxiv.org/pdf/2601.03928
Model Zoo
Model
Backbone
🤗… See the full description on the dataset page: https://huggingface.co/datasets/yyyang/UI-Grounding-Benchmarks.UI_Genie_128kUI_Genie_256kTool-Calling-Dataset-UIGEN-X
Tool Calling Dataset for UIGEN-X
This is a cleaned version of the interstellarninja/hermes_reasoning_tool_use dataset, specifically prepared for training with Axolotl.
Usage with Axolotl
datasets:
- path: smirki/Tool-Calling-Dataset-UIGEN-X
type: chat_template
field_messages: conversations
message_property_mappings:
role: from
content: value
split: train
Example Structure
{
"conversations": [
{
"from": "system"… See the full description on the dataset page: https://huggingface.co/datasets/smirki/Tool-Calling-Dataset-UIGEN-X.UI-Genie-Agent
cua-lite/UI-Genie-Agent
cua-lite preprocessed version of UI-Genie-Agent (HanXiao1999/UI-Genie-Agent-16k). Mobile/Android multi-step agent trajectories from two subsets: ui_genie (UI-Genie-Agent-16k) and amex (an AMEX re-annotation). Mapped to the use task type with per-step action descriptions.
Origin
https://huggingface.co/datasets/HanXiao1999/UI-Genie-Agent-16k
Load via datasets
from datasets import load_dataset
# entire dataset
ds =… See the full description on the dataset page: https://huggingface.co/datasets/cua-lite/UI-Genie-Agent.