datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
osworld_v2_assetsdatacomp_xlarge
DataComp XLarge Pool
This repository contains metadata files for the xlarge pool of DataComp. For details on how to use the metadata, please visit our website and our github repository.
We distribute the image url-text samples and metadata under a standard Creative Common CC-BY-4.0 license. The individual images are under their own copyrights.
Terms and Conditions
We have terms of service that are similar to those adopted by HuggingFace… See the full description on the dataset page: https://huggingface.co/datasets/mlfoundations/datacomp_xlarge.aguvis-stage2
AGUVIS Collection
This is the AGUVIS collection stage 2 for computer/mobile/desktop trajectory training.
Dataset Details
Project Page: https://aguvis-project.github.io
Repository: https://github.com/xlang-ai/aguvis
Paper : https://huggingface.co/papers/2412.04454
Citation
BibTeX:
@article{xu2024aguvis,
title={Aguvis: Unified Pure Vision Agents for Autonomous GUI Interaction},
author={Yiheng Xu and Zekun Wang and Junli Wang and Dunjie Lu and Tianbao Xie… See the full description on the dataset page: https://huggingface.co/datasets/xlangai/aguvis-stage2.GEWDiff_training_dataset
GEWDiff Training & Evaluation Dataset
📘 Overview
The GEWDiff Training & Evaluation Dataset is derived from the EnMAP Champion and MDAS hyperspectral datasets.It is designed for image enhancement, super-resolution, restoration, and generative remote sensing tasks.The dataset includes Low-Quality (LQ) low-resolution images, corresponding Ground-Truth (GT) high-resolution images, and optional structure information such as masks and edges (partially provided;… See the full description on the dataset page: https://huggingface.co/datasets/zhu-xlab/GEWDiff_training_dataset.aguvis-stage1
AGUVIS Collection
This is the AGUVIS collection stage 1 for computer/mobile grounding training.
Dataset Details
Project Page: https://aguvis-project.github.io
Repository: https://github.com/xlang-ai/aguvis
Paper : https://huggingface.co/papers/2412.04454
Citation
BibTeX:
@article{xu2024aguvis,
title={Aguvis: Unified Pure Vision Agents for Autonomous GUI Interaction},
author={Yiheng Xu and Zekun Wang and Junli Wang and Dunjie Lu and Tianbao Xie and Amrita… See the full description on the dataset page: https://huggingface.co/datasets/xlangai/aguvis-stage1.AgentNetBenchcomputer-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.VGBDataset-XLarge-HF[Paper] - [Website]
keras-xla-benchmarksHolds images and other artifacts for https://github.com/sayakpaul/keras-xla-benchmarks.
ubuntu_osworld2_trajscoconut_xlargeedition_1966_mlfoundations-datacomp_xlarge-readymade
edition_1966_mlfoundations-datacomp_xlarge-readymade
A Readymade by TheFactoryX
Original Dataset
mlfoundations/datacomp_xlarge
Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept of taking everyday objects and recontextualizing them as art.
What we did:
Selected the original dataset from Hugging Face
Shuffled each column independently
Destroyed all row-wise relationships
Preserved structure, removed meaning
The result:… See the full description on the dataset page: https://huggingface.co/datasets/TheFactoryX/edition_1966_mlfoundations-datacomp_xlarge-readymade.