datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Magicoder-OSS-Instruct-75KThis is the OSS-Instruct dataset generated by gpt-3.5-turbo-1106 developed by OpenAI. Please pay attention to OpenAI's usage policy when adopting this dataset: https://openai.com/policies/usage-policies.
Real-UI-Clickboxes
RUC: Real UI Clickboxes
Click carefully, even when the page is trying to trick you! 👀
Official Hugging Face release for RUC: Real UI Clickboxes, the dataset accompanying our ACL 2026 paper Don't Click That: Teaching Web Agents to Resist Deceptive Interfaces on deceptive UI understanding for web agents.
ACL Anthology: https://aclanthology.org/2026.acl-long.310/
PDF: https://aclanthology.org/2026.acl-long.310.pdf
DOI: https://doi.org/10.18653/v1/2026.acl-long.310… See the full description on the dataset page: https://huggingface.co/datasets/DUDE-Framework/Real-UI-Clickboxes.ui-navigation-corpus
User Interface (Navigation) Corpus
Overview
This dataset serves as a collection of various images of, videos and metadata of mobile (both iOS and Android) and web user interfaces as well as tags and text extractions associated to them.
Dataset also includes user interface navigation annotations and videos related to them. One of the possible use cases of this dataset is training a UI navigation agent.
Dataset Structure
The resources of this dataset… See the full description on the dataset page: https://huggingface.co/datasets/ijlewis/ui-navigation-corpus.ui-navigation-corpus
User Interface (Navigation) Corpus
Overview
This dataset serves as a collection of various images of, videos and metadata of mobile (both iOS and Android) and web user interfaces as well as tags and text extractions associated to them.
Dataset also includes user interface navigation annotations and videos related to them. One of the possible use cases of this dataset is training a UI navigation agent.
Dataset Structure
The resources of this dataset… See the full description on the dataset page: https://huggingface.co/datasets/teleren/ui-navigation-corpus.PopMCQ
🎯 PopMCQ
Does your model pick the famous answer or the correct one?
📌 Overview
PopMCQ renders the same question six ways. The question and the correct answer never change — only how popular the three distractors are. That makes option popularity an independent variable, so an accuracy swing across S1–S6 is attributable to popularity rather than to question difficulty.
The swings are large. Under the hardest setting (S2), models pick a popular-but-wrong… See the full description on the dataset page: https://huggingface.co/datasets/DataScience-UIBK/PopMCQ.UIT-VSFCagent-ui-efficiency-scores
Agent UI Efficiency Scores
Flat lab-synthetic bakeoff table for the public question: which agent UI is cheapest for a given lab task?
Author
Akash Premkumar (akashnaren)
License
Apache-2.0
Hub files
train.jsonl (63), test.jsonl (14), optional scores.jsonl (77 full)
Related
agent-ui-sft, agent-ui-human, ui-mode-router, agent-ui-mode-pairs
Scope
Rows are original lab fiction for a public agent-UI research question. Identifiers are invented.… See the full description on the dataset page: https://huggingface.co/datasets/akashnaren/agent-ui-efficiency-scores.uipc-assets
UIPC Assets
Simulation assets for libuipc -- a Modern C++20 Library of Unified Incremental Potential Contact.
This dataset collects demos, tests, and examples from IPC-related papers and provides scripts to load them as UIPC scenes via pyuipc.
Structure
All assets live under assets/. Each asset is a named subfolder:
assets/
cube_ground/ # asset name
scene.py # script: build_scene(uipc.Scene) -> adds geometry/objects
cube.msh # mesh data… See the full description on the dataset page: https://huggingface.co/datasets/MuGdxy/uipc-assets.ui-design-audit-dataset
UI Design Audit Screenshot Benchmark v2.1
A reproducible synthetic benchmark of 3,000 mobile and web UI screenshots labeled across 12 design-risk categories.
Splits
train: 2,400
validation: 300
test: 300
Labels
small_touch_targets
low_contrast
action_overload
navigation_overload
form_friction
content_density
responsive_risk
modal_overuse
deep_scrolling
weak_hierarchy
interaction_overload
mobile_web_mismatch
Data creation
Every… See the full description on the dataset page: https://huggingface.co/datasets/newazhala/ui-design-audit-dataset.pile-neox-uint16-partsTokenized uint16 shard parts for language-model pretraining.
Original source: The Pile / NeoX-style preprocessing.
deckergui-ui-detections
UI element detection dataset for YOLO-based visual perception in DeckerGUI. Contains annotated screenshots with bounding boxes for buttons, inputs, menus, sidebars, and headers.
Dataset Details
Repository: ctaxnagomi/deckergui-ui-detections
License: MIT
DeckerGUI Version: v2.0.0
Created: 2026-08-17
Dataset Schema
See metadata.json for the full schema definition.
Usage
from datasets import load_dataset
ds =… See the full description on the dataset page: https://huggingface.co/datasets/ctaxnagomi/deckergui-ui-detections.UI_dataui-removal-pipeline-assets
UI-removal pipeline assets
Portable, pipeline-reachable subset of the taxonomy-v3 UI asset collection.
It is intended to be passed directly as --assets-root.
The subset is the union of candidates reachable by the shipped ui_removal_data 1280x720 configurations across every HUD style, static role, popup taxonomy mix, editable status asset, and separated hotbar component. Seed-specific sampling is deliberately not applied.
Local caches, rejected/empty crops, historical snapshots… See the full description on the dataset page: https://huggingface.co/datasets/noname6/ui-removal-pipeline-assets.creative-uiux-sftUIT-VSFCUIT-VSFC