datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
ubuntu_osworld_file_cache
OSWorld File Cache
This repository serves as a file cache for the OSWorld project, providing reliable and fast access to evaluation files that were previously hosted on Google Drive.
Overview
OSWorld is a scalable, real computer environment for multimodal agents, supporting task setup, execution-based evaluation, and interactive learning across various operating systems and applications. This cache repository ensures that all evaluation files are consistently… See the full description on the dataset page: https://huggingface.co/datasets/xlangai/ubuntu_osworld_file_cache.UbuntuIRCCompletely uncurated collection of IRC logs from the Ubuntu IRC channels
ubuntu_osworld
Dataset Card for Dataset Name
This repository contains the task examples, retrieval documents (in the archive evaluation_examples.zip), and virtual machine snapshots for benchmark OSWorld (loaded by VMware/VirtualBox depending on the machine architecture x86 or arm64).
You can find more information from our paper OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments
paper Arxiv link: https://arxiv.org/abs/2404.07972
project website:… See the full description on the dataset page: https://huggingface.co/datasets/xlangai/ubuntu_osworld.ubuntu_osworld_verified_trajs
OSWorld-Verified Model Trajectories
This repository contains trajectory results from various AI models evaluated on the OSWorld benchmark - a comprehensive evaluation environment for multimodal agents in real computer environments.
Dataset Overview
This dataset includes evaluation trajectories and results from multiple state-of-the-art models tested on OSWorld tasks.
File Structure
Each zip file contains complete evaluation trajectories including:… See the full description on the dataset page: https://huggingface.co/datasets/xlangai/ubuntu_osworld_verified_trajs.ubuntu_osworld_file_cacheopus_ubuntu
Dataset Card for Opus Ubuntu
Dataset Summary
These are translations of the Ubuntu software package messages, donated by the Ubuntu community.
To load a language pair which isn't part of the config, all you need to do is specify the language code as pairs.
You can find the valid pairs in Homepage section of Dataset Description: http://opus.nlpl.eu/Ubuntu.php
E.g.
dataset = load_dataset("opus_ubuntu", lang1="it", lang2="pl")
Supported Tasks and Leaderboards… See the full description on the dataset page: https://huggingface.co/datasets/Helsinki-NLP/opus_ubuntu.ubuntu_irc
Ubuntu IRC
Description
Logs of all discussions on the Ubuntu-hosted Internet Relay Chat (IRC) since 2004 have been archived and released into the Public Domain.
We downloaded all chats from all channels up until March of 2025.
We consider all messages for given channel on a given day as a single document.
We removed system messages as well as those from known bots.
Dataset Statistics
Documents
UTF-8 GB
329,115
6.3
License Issues… See the full description on the dataset page: https://huggingface.co/datasets/common-pile/ubuntu_irc.perturb_ubuntu_osworld_file_cacheubuntu_osworld_file_cache
OSWorld File Cache
This repository serves as a file cache for the OSWorld project, providing reliable and fast access to evaluation files that were previously hosted on Google Drive.
Overview
OSWorld is a scalable, real computer environment for multimodal agents, supporting task setup, execution-based evaluation, and interactive learning across various operating systems and applications. This cache repository ensures that all evaluation files are consistently accessible… See the full description on the dataset page: https://huggingface.co/datasets/tony-pitchblack/ubuntu_osworld_file_cache.ubuntu_irc_filtered
Ubuntu IRC
Description
Logs of all discussions on the Ubuntu-hosted Internet Relay Chat (IRC) since 2004 have been archived and released into the Public Domain. We downloaded all chats from all channels up until March of 2025. We consider all messages for a given channel on a given day as a single document. We removed system messages as well as those from known bots.
Dataset Statistics
Documents
UTF-8 GB
234,982
5.3
License Issues… See the full description on the dataset page: https://huggingface.co/datasets/common-pile/ubuntu_irc_filtered.threads-ask-ubuntuubuntu_dialogs_corpusUbuntu Dialogue Corpus, a dataset containing almost 1 million multi-turn dialogues, with a total of over 7 million utterances and 100 million words. This provides a unique resource for research into building dialogue managers based on neural language models that can make use of large amounts of unlabeled data. The dataset has both the multi-turn property of conversations in the Dialog State Tracking Challenge datasets, and the unstructured nature of interactions from microblog services such as Twitter.ubuntu_dialogue_qa
Dataset Card for "ubuntu_dialogue_qa"
Filtered the Ubuntu dialogue chatlogs from https://www.kaggle.com/datasets/rtatman/ubuntu-dialogue-corpus to include Q&A pairs ONLY
Acknowledgements
This dataset was ORIGINALLY collected by Ryan Lowe, Nissan Pow , Iulian V. Serban† and Joelle Pineau. It is made available here under the Apache License, 2.0. If you use this data in your work, please include the following citation:
Ryan Lowe, Nissan Pow, Iulian V. Serban and Joelle Pineau, "The… See the full description on the dataset page: https://huggingface.co/datasets/sedthh/ubuntu_dialogue_qa.pile-ubuntu_irc-broken
⚠️ Warning: This dataset will probably make you run out of memory if you try loading it. Don't do it.
Dataset Creation Process
These subsets were created by streaming over the rows from monology/pile-uncopyrighted and filtering by the meta column. Each subset is generally limited to the first 100,000 qualifying rows encountered.
Citations
If you use this dataset, please cite the original Pile papers:
@article{gao2020pile,
title={The Pile: An 800GB dataset of diverse… See the full description on the dataset page: https://huggingface.co/datasets/timaeus/pile-ubuntu_irc-broken.ubuntu_dialogue_corpus_trainubuntu-irc-days
Ubuntu IRC channel-days
Five years of two Ubuntu IRC channels, one row per channel-day, used as the
showcase corpus for the MADS Data Analysis and Visualisation course.
What one row is
One row is one channel on one day. The date is a column; the individual
message times sit inside the text, one message per line:
column
type
meaning
created
datetime64[ms]
the day
channel
string
#ubuntu-uk or #ubuntu-nl
text
string
every message that day, [HH:MM]… See the full description on the dataset page: https://huggingface.co/datasets/pttrn-io/ubuntu-irc-days.genmol_image_ubuntu22.04GenMol: A Drug Discovery Generalist with Discrete Diffusion
This is the official code repository for the paper titled GenMol: A Drug Discovery Generalist with Discrete Diffusion (ICML 2025).
Contribution
We introduce GenMol, a model for unified and versatile molecule generation by building masked discrete diffusion that generates SAFE molecular sequences.
We propose fragment remasking, an effective strategy for exploring chemical space using molecular fragments as the… See the full description on the dataset page: https://huggingface.co/datasets/HZWzzl/genmol_image_ubuntu22.04.ubuntu_x86ubuntu_x86_virtualboxubuntu_osworld_file_cacheubuntu-22.04-myself-imagesubuntu22.04-rtx50series-blackwell-iso
Ubuntu 22.04 LTS 定制镜像 (专为 NVIDIA RTX 50 系列显卡优化)
📋 项目背景 (Project Background)
目前（2026年初），NVIDIA RTX 50 系列（Blackwell 架构，如 RTX 5080 / 5090）已正式发布。然而，由于硬件架构极新，传统的 Ubuntu 官方安装镜像在这些显卡上存在严重的兼容性问题。
本镜像由Jessy(杰西）制作，集成了最新的 NVIDIA 570 系列生产分支驱动，旨在为具身智能（Embodied AI）及深度学习开发者提供“开箱即用”的底层环境。
📋 为什么需要这个镜像？
如果你正在为新配的 RTX 50 系列（5080/5090 等） 工作站安装 Ubuntu 22.04，大概率会遇到死活进不去安装界面的情况。
🚫 传统的“救命药方”失效了
通常遇到显卡不兼容导致的黑屏，网上的常规解法是：
在 GRUB 界面开启 nomodeset（通用驱动模式）。
但实测证明： 对于架构大改的 RTX 50 系显卡，开启 nomodeset… See the full description on the dataset page: https://huggingface.co/datasets/Jessy-Huang/ubuntu22.04-rtx50series-blackwell-iso.ubuntu_dialogs_corpushttps://github.com/rkadlec/ubuntu-ranking-dataset-creator#readme
ubuntu_dialogue_corpus_devtestubuntu_os_imagesosworld-ubuntu
OSWorld Ubuntu Tasks
Eight OSWorld-format desktop tasks for Ubuntu, each with a deterministic,
rule-based evaluator. Built by Cognyzer.
Every task targets a real GUI application rather than a terminal workflow, and
every one is graded by inspecting the artefact the agent produced (a WAV file,
a spreadsheet, a mail profile, an image) instead of by matching keystrokes.
Tasks
Folder
Application
What the agent has to do
Human steps
audacity
Audacity
Trim a… See the full description on the dataset page: https://huggingface.co/datasets/Cognyzer/osworld-ubuntu.ubuntu-package-sandboxesmisc-ubuntu-latest-3.12ubuntu_traj_rl_bbox_max_500_samples_max_turns_10ubuntu_osworld_file_cache