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Ubuntu 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.
MIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically
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. Serbanβ 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, "Theβ¦ See the full description on the dataset page: https://huggingface.co/datasets/sedthh/ubuntu_dialogue_qa.
The Ubuntu Chat Corpus (UCC) is composed of archived chat logs from Ubuntu's Internet Relay Chat technical support channels. Ubuntu uses IRC as one of many modes of technical support -- it offers real-time problem solving. The authors have taken some of the archived messages (which are in the public domain), reorganized the file structure, removed some unnecessary system messages, and compressed them to make it easier to obtain.
26 million turns from natural two-person dialogues
Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
License information was derived automatically
Dialogues extracted from Ubuntu chat stream on IRC.
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The Ubuntu Project is a coal mine in South Africa. It is currently in operation.Empower your strategies with our Ubuntu Project report and make more profitable business decisions.Note: This is an on-demand report that will be delivered upon request. The report will be deliv Read More
http://www.gnu.org/licenses/lgpl-3.0.htmlhttp://www.gnu.org/licenses/lgpl-3.0.html
FSE-2022 Artifact for paper Large-Scale Analysis of Non-Termination Bugs in Real-World OSS Projects.
We provide an Ubuntu OVA(Open Virtualization Appliance), which provides necessary information for deploying virtual machines based on VirtualBox.
-First, please download and install VirtualBox at following URL: https://www.virtualbox.org/wiki/Downloads
-Open VirtualBox and import our ova file. Please set 15 GB RAM, and 8 processing units to ensure same configuration used in SV-COMP.
Open virtual machine and open terminal. usrName:ubuntu password:ubuntu
If you want to get evaluate results of all five state-of-the-art termination analysis tools, please execute the following instructions. -cd /home/ubuntu/tool/result -./test.sh NOTICE: There are three resource limits for each verification run: a memory limit of 15 GB (14.6 GiB) of RAM, a runtime limit of 15 min of CPU time. Therefore,
If you want to get evaluate results of specific state-of-the-art termination analysis tool (eg., Aprove), please execute the following instructions. -cd /home/ubuntu/tool/result -cd Aprove (get the result of Aprove) -cd loop (get loop result) -./test.sh
All results are saved in /home/ubuntu/tool/result.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This is a temporal higher-order network dataset, which here means a sequence of timestamped hyperedges where each hyperedge is a set of nodes. In this dataset, nodes are users on askubuntu.com, and a hyperedge comes from users participating in a thread that lasts for at most 24 hours. The timestamps are the time of the post, but normalized so that the earliest post starts at 0.
Source: threads-ask-ubuntu dataset
If you use this data, please cite the following paper:
This video tutorial explains the process of installing CKAN on Ubuntu 20.04. This is general information for installing an operation system that can be used in a lot of other applications.
This paper introduces the Ubuntu Dialogue Corpus, a dataset containing almost 1 million multi-turn dialogues, with a total of over 7 million utterances and 100 million words.
Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
License information was derived automatically
EN-IS parallel corpus of Ubuntu localization files, 10,572 TUs, EN-IS, Domain: Software interface. The data originally came in aligned format from the Arni Magnusson Institute in Iceland. The following processing was performed: manual spot-check for quality.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This is a temporal hypergraph dataset, which here means a sequence of timestamped hyperedges where each hyperedge is a set of nodes. In this dataset, nodes are tags, and hyperedges are the sets of tags applied to questions on askubuntu.com. The timestamps are in ISO8601 format and are normalized to start at 0. This dataset is derived from tags on Ask Ubuntu posts.
Some basic statistics of this dataset are:
Component Size, Number
Sources:
If you use this dataset, please cite these references:
This guide covers the CKAN installation process, using Ubuntu dependency. Ubuntu is a Linux based open-source operating system. This is a general guide created by Jacob Cain.
excode/my-test-dataset-ubuntu dataset hosted on Hugging Face and contributed by the HF Datasets community
This is a guide explaining how to install VirtualBox. VirtualBox is a tool which allows you to run different operating systems virtually on your host operating system. This is referred to as a virtual machine.
IRC Disentanglement dataset contains over 77,563 messages from Ubuntu IRC channel.
Features include message id, message text and timestamp. Target is list of messages that current message replies to. Each record contains a list of messages from one day of IRC chat.
To use this dataset:
import tensorflow_datasets as tfds
ds = tfds.load('irc_disentanglement', split='train')
for ex in ds.take(4):
print(ex)
See the guide for more informations on tensorflow_datasets.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Explore Mastering Ubuntu server through unique data from multiples sources: key facts, real-time news, interactive charts, detailed maps & open datasets
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Explore Linux bible : boot up to Ubuntu, Fedora, KNOPPIX, Debian, openSUSE, and 13 .. through unique data from multiples sources: key facts, real-time news, interactive charts, detailed maps & open datasets
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Equip yourself with the essential tools needed to make informed and profitable decisions with our Ubuntu β Evolve Condominium Towers β Colorado report.Note: This is an on-demand report that will be delivered upon request. The report will be delivered within 2 to 3 busin Read More
https://www.linuxhintbd.xyzhttps://www.linuxhintbd.xyz
Linux Hint BD Storm Data is provided by the National Weather Service (NWS) and contain statistics on...
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Ubuntu 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.