ui-agent
Datasets
All datasets matching “ui-agent”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
wave-uiLICENSE
wave-ui-25k
WaveUI-25k
This dataset contains 25k examples of labeled UI elements. It is a subset of a collection of ~80k preprocessed examples assembled from the following sources:
WebUI
RoboFlow
GroundUI-18K
These datasets were preprocessed to have matching schemas and to filter out unwanted examples, such as duplicated, overlapping and low-quality datapoints. We also filtered out many text elements which were not in the main scope of this work.
The WaveUI-25k dataset includes the original… See the full description on the dataset page: https://huggingface.co/datasets/agentsea/wave-ui-25k.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.agent-ui-human
Agent UI Human
Human-written interface preferences for agents. Companion to akashnaren/agent-ui-sft (synthetic multi-turn tool traces). This set is the opposite shape: one person-shaped request per row, a preferred UI, and a short rationale.
Author
Akash Premkumar (akashnaren)
License
Apache-2.0
Files
train.jsonl (50), test.jsonl (10), agent_ui_human.csv (60 full)
Mirror
Kaggle: akashpnaren/agent-ui-human
How it was made
Public question:… See the full description on the dataset page: https://huggingface.co/datasets/akashnaren/agent-ui-human.agent-ui-sft
Agent UI SFT
Small synthetic supervised fine-tune (SFT) set for agent tool-use. It studies the public research question in akashnaren/agent-ui-metrics: what is the most efficient UI for agents to interact with applications and tools?
Scope: rows are original lab fiction for a public agent-UI research question. Identifiers such as lab-w3, wf-synth-44, and tr-dom-9 are invented for the harness.
Author
Akash Premkumar (akashnaren)
License
Apache-2.0
Hub files… See the full description on the dataset page: https://huggingface.co/datasets/akashnaren/agent-ui-sft.