CTU Relational Dataset Repository

University

University

An artificial database from Simon Fraser University describing students, professors and courses.

Original source: www.cs.sfu.ca

Versions

  • University (by Oliver Schulte)

Dataset details

Associated task:
Classification
Domain:
Education
Data types:
Size:
300 KB
Count of tables:
5
Count of rows:
171
Count of columns:
17
Missing values:
No
Compound keys:
No
Loops:
No
Type:
Synthetic
Instance count:
38
Target table:
student
Target column:
intelligence
Target ID:
student_id
Target timestamp:
?

How to download the dataset

The datasets are publicly available directly from MariaDB database.

  1. Open your favourite MariaDB client (MySQL Workbench works, but see FAQ)
  2. Use following credentials:
    • hostname: relational.fel.cvut.cz
    • port: 3306
    • username: guest
    • password: ctu-relational
  3. Export "university" database (or other version of the dataset, if available) in your favourite format (e.g. CSV or SQL dump).
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The database is about a fictious, multinational bicycle manufacturer called Adventure Works Cycles.","databaseSize":233.8,"tableCount":71,"isArtificial":1,"domain":"Retail","task":"regression","missingValues":true,"dataTypes":["numeric","string","lob","date","geo"],"versions":[],"compositeKeys":false,"loops":false,"references":[],"algorithms":[],"dbInfo":{}},{"title":"Airline","description":"Airline on-time data are reported each month to the U.S. Department of Transportation (DOT), Bureau of Transportation Statistics (BTS) by the 16 U.S. air carriers that have at least 1 percent of total domestic scheduled-service passenger revenues, plus two other carriers that report voluntarily. The data cover nonstop scheduled-service flights between points within the United States (including territories) as described in 14 CFR Part 234 of DOT's regulations. Data are available since January 1995. ","databaseSize":455.5,"tableCount":19,"isArtificial":0,"domain":"Retail","task":"classification","missingValues":true,"dataTypes":["numeric","string","date"],"versions":[],"compositeKeys":false,"loops":false,"references":[],"algorithms":[],"dbInfo":{}},{"title":"Atherosclerosis","description":"The study STULONG is a longitudinal 20 years lasting primary preventive study of middle-aged men. The study aims to identify prevalence of atherosclerosis RFs in a population generally considered to be the most endangered by possible atherosclerosis complications, i.e., middle-aged men.","databaseSize":3.2,"tableCount":4,"isArtificial":0,"domain":"Medicine","task":"classification","missingValues":true,"dataTypes":["numeric","string"],"versions":[],"compositeKeys":false,"loops":false,"references":[],"algorithms":[],"dbInfo":{}},{"title":"BasketballMen","description":"The task is to predict rank of teams.","databaseSize":18.3,"tableCount":9,"isArtificial":0,"domain":"Sport","task":"regression","missingValues":true,"dataTypes":["numeric","string","date"],"versions":[],"compositeKeys":false,"loops":false,"references":[],"algorithms":[],"dbInfo":{}},{"title":"BasketballWomen","description":"The task is to predict whether the team plays playoff, or not.","databaseSize":2.3,"tableCount":8,"isArtificial":0,"domain":"Sport","task":"classification","missingValues":true,"dataTypes":["numeric","string"],"versions":[],"compositeKeys":false,"loops":false,"references":[],"algorithms":[],"dbInfo":{}},{"title":"Biodegradability","description":"This is an older data set of chemical structures containing 328 compounds labeled by their half-life for aerobic aqueous biodegradation (a regression task). 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The citation network consists of 4732 links. Each publication in the dataset is described by a 0/1-valued word vector indicating the absence/presence of the corresponding word from the dictionary. The dictionary consists of 3703 unique words.","databaseSize":5.9,"tableCount":3,"isArtificial":0,"domain":"Education","task":"classification","missingValues":false,"dataTypes":["string"],"versions":[],"compositeKeys":false,"loops":false,"references":[],"algorithms":[],"dbInfo":{}},{"title":"ClassicModels","description":"The schema is for Classic Models, a retailer of scale models of classic cars. 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Each publication in the dataset is described by a TF/IDF weighted word vector from a dictionary which consists of 500 unique words.","databaseSize":44.1,"tableCount":3,"isArtificial":0,"domain":"Education","task":"classification","missingValues":false,"dataTypes":["numeric","string"],"versions":[],"compositeKeys":false,"loops":false,"references":[],"algorithms":[],"dbInfo":{}},{"title":"Pubs","description":"The pubs sample database is modeled after a book publishing company.","databaseSize":0.4,"tableCount":11,"isArtificial":1,"domain":"Retail","task":"regression","missingValues":true,"dataTypes":["numeric","string","lob","date"],"versions":[],"compositeKeys":false,"loops":false,"references":[],"algorithms":[],"dbInfo":{}},{"title":"Pyrimidine","description":"A pyrimidine QSAR dataset. The goal is to predict the inhibition of dihydrofolate reductase by pyrimidines.","databaseSize":0,"tableCount":2,"isArtificial":0,"domain":"Medicine","task":"regression","missingValues":false,"dataTypes":["numeric"],"versions":[],"compositeKeys":false,"loops":false,"references":[],"algorithms":[],"dbInfo":{}},{"title":"Restbase","description":"A database of restaurants in San Francisco. 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