LATEX
UVa SEAS Thesis Package
A LATEX package adhering to the formatting guidelines of the University of Virginia's School of Engineering and Applied Science.
1.2.54 (17 March 2012) | Documentation | Examples: print and electronicUVa Beamer Theme
A Beamer presentation template for the University of Virginia's School of Engineering and Applied Science.
0.9.44 (7 September 2011)Relational Keyword Search
Benchmark
Download data sets, topics, and relevance assessments (qrels):
This data may only be used for academic (personal and non-commercial) work and must not be resold or repurposed.
The IMDb information was obtained using IMDbPY and is courtesy of
Please also see IMDb's copyright notice and terms of data use.
* Datasets are dumped from PostgreSQL. Some commands may not be supported by other relational database management systems. To reduce time when loading the data, it is recommended that the schema file be split so indexes are created after loading the data.
† Denotes the original data set instead of the subset used for evaluation.
‡ Additional evaluation revealed minor mistakes with these qrels. To facilitate comparison with published evaluations, the original qrels remain available above. Corrected qrels: IMDb
| Dataset* | Topics and Assessments | |
|---|---|---|
| Mondial | schema and data | topics and qrels |
| IMDb | schema and data | topics and qrels‡ |
| Wikipedia | schema and data | topics and qrels |
| IMDb† | schema and data | topics and qrels‡ |
| Wikipedia† | schema and data | topics and qrels |
* Datasets are dumped from PostgreSQL. Some commands may not be supported by other relational database management systems. To reduce time when loading the data, it is recommended that the schema file be split so indexes are created after loading the data.
† Denotes the original data set instead of the subset used for evaluation.
‡ Additional evaluation revealed minor mistakes with these qrels. To facilitate comparison with published evaluations, the original qrels remain available above. Corrected qrels: IMDb
Please reference the following publication when using these data sets, topics, or relevance assessments:
A Framework for Evaluating Database Keyword Search Strategies
Joel Coffman and Alfred C. Weaver
CIKM '10: ACM International Conference on Information and Knowledge Management, pp. 729–738, Toronto, Canada, October 2010
