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Dataset (version 22-12-2017): ''vulcano:/local/raid/ad/qleverUI/index''<<BR> | Dataset (version 22-12-2017): ''vulcano:/local/raid/ad/qleverUI/index''<<BR>> |
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The latest version of the generated questions (2017-10-20) is in ''/nfs/raid4/prangen/qg_output_files/generated_questions_v2010.txt'' (8.5 GB, 49,779,502 questions). Get a random question with: {{{ echo; head -10000000 /nfs/raid4/prangen/qg_output_files/generated_questions_v2010_shuffled.txt | shuf -n 1; echo }}} |
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Create Broccoli instance ''BroccoliScientistsGuettler'' on elba, as described [[https://ad-wiki.informatik.uni-freiburg.de/research/Projects/Broccoli#Deploy_a_user_interface|here]]. As of 2018-01-XX, such an instance is already running on elba: http://elba.informatik.uni-freiburg.de:6222/BroccoliScientistGuettler | Create Broccoli instance ''!BroccoliScientistsGuettler'' on elba, as described [[https://ad-wiki.informatik.uni-freiburg.de/research/Projects/Broccoli#Deploy_a_user_interface|here]]. As of 2018-01-XX, such an instance is already running on elba: http://elba.informatik.uni-freiburg.de:6222/BroccoliScientistGuettler |
Demos from our (many) student projects and theses
Contents
- QLever UI (Julian Bürklin und Daniel Kemen), last tested 2018-01-17
- QA Completion (Natalie Prange), last tested 2018-01-18
- Broccoli Scientists (Johannes Güttler), last tested 2018-01-XX
- CompleteSearch UI (Olivier Puraye), last tested 2018-01-19
- CompleteSearch UI (Evgeny Anatskiy), last tested 2018-01-17
QLever UI (Julian Bürklin und Daniel Kemen), last tested 2018-01-17
Dataset (version 22-12-2017): vulcano:/local/raid/ad/qleverUI/index
QLeverUI code (version 22-12-2017): vulcano:/local/raid/ad/qleverUI/svn (also contains db.sqlite3 from Django)
QLever binary (version 10-01-2018): vulcano:/local/raid/ad/schnelle/QLever/build/ServerMain
ssh vulcano cd /local/raid/ad/qleverUI/svn # SETUP (already done on vulcano) python manage.py migrate # Create initial db.sqlite3 for Django python manage.py createsuperuser # Create admin user, bast ist currently admin vim qlever/settings.py # Set DEBUG=False and set ALLOWED_HOSTS appropriately # START QLEVER UI python /local/raid/ad/qleverUI/manage.py runserver 0.0.0.0:8900 --insecure # ADD BACKEND (already done on vulcano) http://vulcano:8900/admin -> Backends -> ADD BACKEND -> fill in the following fields: Name: wikipedia-freebaseBase BaseUrl: http://vulcano.informatik.privat:9001/ NtFilePath: /local/raid/ad/qleverUI/index/wikipedia-freebase.nt # START QLEVER /local/raid/ad/schnelle/QLever/build/ServerMain -i /local/raid/ad/qleverUI/index/wikipedia-freebase -p 9001 -t -l
QA Completion (Natalie Prange), last tested 2018-01-18
ssh tarka sudo su prangen cd /nfs/raid4/prangen/natalie-prange/ python3 server.py 4 8181 [test]
With test option, smaller dataset, takes 1 minute; without test takes 4-5 minutes.
Then live on http://tarka.informatik.privat:8181
The latest version of the generated questions (2017-10-20) is in /nfs/raid4/prangen/qg_output_files/generated_questions_v2010.txt (8.5 GB, 49,779,502 questions). Get a random question with:
echo; head -10000000 /nfs/raid4/prangen/qg_output_files/generated_questions_v2010_shuffled.txt | shuf -n 1; echo
Broccoli Scientists (Johannes Güttler), last tested 2018-01-XX
Create Broccoli instance BroccoliScientistsGuettler on elba, as described here. As of 2018-01-XX, such an instance is already running on elba: http://elba.informatik.uni-freiburg.de:6222/BroccoliScientistGuettler
The following starts the Broccoli backend with the index data from Johannes Güttler:
ssh elba tmux attach -t BroccoliScientistsGuettler || tmux new -s BroccoliScientistsGuettler cd /local/data2/broccoli/scientists-guettler make start
A detailed descriptions of the whole build process (including creating the data from scratch), can be found in SVN:student-theses/johannes-guettler
CompleteSearch UI (Olivier Puraye), last tested 2018-01-19
The project description and live demo can be found under: http://completesearch-docs.puraye.com/
CompleteSearch UI (Evgeny Anatskiy), last tested 2018-01-17
Build the docker image according to the instructions on https://github.com/anatskiy/docker-completesearch . The project itself is described in another Github Repo.
Beware: in the URL, there must be a trailing slash, otherwise the application will appear to "load forever"