ReSEED (Social Event dEtection Dataset)

Organisation CITEC -- Center of Excellence Cognitive Interaction Technology, Bielefeld University
Projects
Project Descriptions
Title ReSEED (Social Event dEtection Dataset)
Version v1.0.0
Date 2014-02-14
Creators Timo Reuter
Contributors Philipp Cimiano
License 'ReSEED Dataset' Copyright(c) Timo Reuter
There is NO warranty; not even for MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
The development of this database was supported by the Excellence Cluster EXC 277 Cognitive
Interaction Technology. The Excellence Cluster EXC 277 is a grant of the Deutsche
Forschungsgemeinschaft (DFG) in the context of the German Excellence Initiative.
'ReSEED Dataset' is made available under the Open Data Commons Attribution License (ODC-By) v1.0. Any rights in individual contents of the database are licensed under the Database Contents License (DbCL) v1.0
Description This dataset comprises 200 natural language questions over DBpedia 3.8, annotated with SPARQL queries and answers. It was part of the QALD-3 open challenge: questions 1-100 constitute the training question set and questions 101-200 constitute the test question set.
Files Readme for the dataset
Metadata for the Pictures
Metadata for the events
Picture Archive Training 1
Picture Archive Training 2
Picture Archive Training 3
Picture Archive Training 4
Picture Archive Training 5
Picture Archive Training 6
Picture Archive Training 7
Picture Archive Test 1
Picture Archive Test 2
Picture Archive Test 3
Keywords Event Detection, Machine Learning
Structure
Format XML
Relation
Acknowledgements The development of this database was supported by the Excellence Cluster EXC 277 Cognitive Interaction Technology. The Excellence Cluster EXC 277 is a grant of the Deutsche Forschungsgemeinschaft (DFG) in the context of the German Excellence Initiative.

New and updated versions

You may find additional and updated information at http://greententacle.techfak.uni-bielefeld.de/reseed/

toolkit.xml Magnifier (4.88 KB) Cord Wiljes, 2014-03-14 15:26

toolkit.xml Magnifier (4.65 KB) Cord Wiljes, 2014-04-09 15:47