datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
WildGUI
WildGUI
This repository hosts a personally reprocessed annotation release for WildGUI, the dataset introduced by Video2GUI.
The original Video2GUI project builds WildGUI from large-scale Internet tutorial videos for GUI agent pretraining. This repository focuses on the open annotation artifacts: the records were regenerated and cleaned following the full annotation workflow, then reformatted to make the data easier to inspect, reuse, and reproduce. It also ships the screenshot… See the full description on the dataset page: https://huggingface.co/datasets/xwm/WildGUI.fine-t2i
Fine-T2I: An Open, Large-Scale, and Diverse Dataset for High-Quality T2I Fine-Tuning [arxiv]
by Xu Ma, Yitian Zhang,
Qihua Dong, Yun Fu
Northeastern Univeristy
Please see our [Dataset Explore] to view detailed samples (loading is slow, be patient).
🆕 What's New
[2026.02.20]: Fine-T2I reaches the #1 spot among Hugging Face Datasets Trending list ⭐️⭐️⭐️
[2026.02.16]: Fine-T2I tops the Hugging Face Datasets Trending list, reaching the #2 spot and #1… See the full description on the dataset page: https://huggingface.co/datasets/ma-xu/fine-t2i.WildDeepfakeX2Edit-Dataset
X2Edit
Introduction
X2Edit Dataset is a comprehensive image editing dataset that covers 14 diverse editing tasks and exhibits substantial advantages over existing open-source datasets including AnyEdit, HQ-Edit, UltraEdit, SEED-Data-Edit, ImgEdit and OmniEdit.
For the relevant data construction scripts, model training and inference scripts, please refer to X2Edit.
News
2025/09/16: We are about to release a dataset constructed by Qwen-Image and… See the full description on the dataset page: https://huggingface.co/datasets/OPPOer/X2Edit-Dataset.imagenet-1k-wds
Dataset Summary
ILSVRC 2012, commonly known as 'ImageNet' is an image dataset organized according to the WordNet hierarchy. Each meaningful concept in WordNet, possibly described by multiple words or word phrases, is called a "synonym set" or "synset". There are more than 100,000 synsets in WordNet, majority of them are nouns (80,000+). ImageNet aims to provide on average 1000 images to illustrate each synset. Images of each concept are quality-controlled and human-annotated.
💡… See the full description on the dataset page: https://huggingface.co/datasets/dark-xet/imagenet-1k-wds.ophnet_3dcc3mMobile-GUI-Worldmodel-SFT
Mobile-GUI-Worldmodel-SFT
This repository contains mobile GUI agent data and auxiliary files for training and evaluating GUI world models. The data is organized around GUI trajectories: each step has a screenshot and page-state annotations such as HTML, plain text, and structured text.
Repository Layout
.
├── GUI-agent-main/ # Data annotation scripts and examples
├── eval/ # Evaluation assets
│ └── AndroidControl_images.tar.gz… See the full description on the dataset page: https://huggingface.co/datasets/xwk123/Mobile-GUI-Worldmodel-SFT.xl-gencomputer-agent-arena
Computer Agent Arena: Evaluating Computer-Use Agents via Crowdsourcing from Real Users
Dataset Description
Computer Agent Arena is a comprehensive evaluation platform for multi-modal AI agents, particularly focusing on computer use and GUI interaction tasks. This dataset contains real interaction trajectories from various state-of-the-art AI agents performing complex computer tasks in controlled environments.
The dataset includes:
4,641 agent trajectories across diverse… See the full description on the dataset page: https://huggingface.co/datasets/xlangai/computer-agent-arena.xqlfwRS_UHR_public_downloadnfsCowpea-Architecture-XML
Cowpea-Architecture-XML-WDS
This dataset contains simulated images of Cowpea plants paired with organ-level architecture representations in XML format, packaged in WebDataset (.tar) format for efficient high-performance training.
Dataset Structure
The dataset is sharded into .tar files, each containing up to 10,000 samples.
Each sample consists of:
.jpeg: The plant image
.xml: The organ-level architecture representation
.json: (Optional) Metadata
Usage with… See the full description on the dataset page: https://huggingface.co/datasets/heesup/Cowpea-Architecture-XML.rgbt234depthtrackCowpea-Architecture-XML
Cowpea-Architecture-XML-WDS
This dataset contains simulated images of Cowpea plants paired with organ-level architecture representations in XML format, packaged in WebDataset (.tar) format for efficient high-performance training.
Dataset Structure
The dataset is sharded into .tar files, each containing up to 10,000 samples.
Each sample consists of:
.jpeg: The plant image
.xml: The organ-level architecture representation
.json: (Optional) Metadata… See the full description on the dataset page: https://huggingface.co/datasets/bbrangeo/Cowpea-Architecture-XML.Genview_syntheric_dataset_in1klicense: apache-2.0task_categories:
feature-extractionlanguage:
enpretty_name: genview_imagenet_datasetsize_categories:
1K<n<10K
Dataset Card for GenView: Enhancing View Quality with Pretrained Generative Model for Self-Supervised Learning (ECCV 2024)
Dataset Description
The GenView ImageNet Dataset is designed for self-supervised learning, focusing on enhancing view quality through adaptive view generation. It uses the pretrained CLIP ViT-H/14 backbone to create… See the full description on the dataset page: https://huggingface.co/datasets/Xiaojie0903/Genview_syntheric_dataset_in1k.MvT-tarX2I2
X2I2 (WebP-compressed, unofficial mirror)
Disclaimer. This is an unofficial, WebP-compressed mirror of the
OmniGen2/X2I2 dataset,
created by the OmniGen2 team at VectorSpaceLab. I am not affiliated with the
original authors and claim no ownership of this data. All credit goes to the
original creators. This mirror exists only to provide a smaller, faster-to-download
copy. If you use this data, please cite and credit the original dataset (see below).
This dataset is a WebP q=80… See the full description on the dataset page: https://huggingface.co/datasets/ymhao/X2I2.SEA-Vision3d-wm-atomic-xycanonwds_vtab-dsprites_label_x_positioncoconut_xlargebench_xposecoconut_valDenseWorld_Benchmarkwds_dsprites_label_x_positionXiaoDing.Ziplastval