IMDb

The IMDb database: moderately large, real database of movies.

Original source: kt.ijs.si

Imdb_ijs (by Janez Kranjc)
- Added foreign key constrains by removal of violating samples. Note that accented chars are missing in "movies"."name" column. Unfortunatelly, accented chars are already missing in the original sql dump.
IMDB_1R (by Oliver Schulte)
Imdb_small (by Jan Motl)

Dataset details

Associated task:

Classification

Domain:

Entertainment

Data types:

Size:

477.1 MB

Count of tables:

Count of rows:

5,694,919

Count of columns:

Missing values:

Yes

Compound keys:

Loops:

Dataset version	Target	Algorithm	Author text	Measure	Value
imdb_ijs	gender	Aleph	Wordification: Propositionalization by unfolding relational data into bags of words	Accuracy	0.7349
imdb_ijs	gender	Graph-NB	Simple decision forests for multi-relational classification	Accuracy	0.517
imdb_ijs	gender	Poly	Simple decision forests for multi-relational classification	Accuracy	0.51
imdb_ijs	gender	RelF	Simple decision forests for multi-relational classification	Accuracy	0.51
imdb_ijs	gender	RelF	Wordification: Propositionalization by unfolding relational data into bags of words	Accuracy	0.6988
imdb_ijs	gender	RPT	Collective Classification with Relational Dependency Networks	Accuracy	0.8258
imdb_ijs	gender	RPT	Learning Relational Probability Trees	Accuracy	0.8
imdb_ijs	gender	RSD	Wordification: Propositionalization by unfolding relational data into bags of words	Accuracy	0.747
imdb_ijs	gender	SDF	Simple decision forests for multi-relational classification	Accuracy	0.57
imdb_ijs	gender	Wordification	Wordification: Propositionalization by unfolding relational data into bags of words	Accuracy	0.8193
Show all algorithms

The datasets are publicly available directly from MariaDB database.

Open your favourite MariaDB client (MySQL Workbench works, but see FAQ)
Use following credentials:
- hostname: db.relational-data.org
- port: 3306
- username: guest
- password: relational
Export "imdb_ijs" database (or other version of the dataset, if available) in your favourite format (e.g. CSV or SQL dump).