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Classification (242)
Regression (70)
Clustering (63)
Other (18)

Attribute Type

Categorical (3)
Numerical (4)
Mixed (8)

Data Type

Multivariate (15)
Univariate (0)
Sequential (1)
Time-Series (4)
Text (1)
Domain-Theory (0)
Other (2)

Area

Life Sciences (3)
Physical Sciences (2)
CS / Engineering (5)
Social Sciences (1)
Business (1)
Game (0)
Other (5)

# Attributes

Less than 10 (7)
10 to 100 (6)
Greater than 100 (2)

# Instances

Less than 100 (0)
100 to 1000 (5)
Greater than 1000 (11)

Format Type - Undo

Matrix (18)
Non-Matrix (37)

18 Data Sets

Table View  List View

Name

Data Types

Default Task

Attribute Types

# Instances

# Attributes

Year

 

Pioneer-1 Mobile Robot Data

Multivariate, Time-Series 

 

Categorical, Real 

 

 

1999 

 

PANDOR

Multivariate 

Recommendation 

Categorical 

 

 

2018 

 

EEG Database

Multivariate, Time-Series 

 

Categorical, Integer, Real 

122 

1999 

 

Restaurant & consumer data

Multivariate 

 

 

138 

47 

2012 

 

Coil 1999 Competition Data

Multivariate 

 

Categorical, Real 

340 

17 

1999 

 

Liver Disorders

Multivariate 

 

Categorical, Integer, Real 

345 

1990 

 

Eco-hotel

Text 

 

 

401 

2017 

 

Cloud

Multivariate 

 

Real 

1024 

10 

1989 

 

Movie

Multivariate, Relational 

 

 

10000 

 

1999 

 

CalIt2 Building People Counts

Multivariate, Time-Series 

 

Categorical, Integer 

10080 

2006 

 

Internet Usage Data

Multivariate 

 

Categorical, Integer 

10104 

72 

1999 

 

Connectionist Bench (Nettalk Corpus)

Multivariate 

 

Categorical 

20008 

 

 

Anonymous Microsoft Web Data

 

Recommender-Systems 

Categorical 

37711 

294 

1998 

 

Dodgers Loop Sensor

Multivariate, Time-Series 

 

Categorical, Integer 

50400 

2006 

 

Corel Image Features

Multivariate 

 

Real 

68040 

89 

1999 

 

IPUMS Census Database

Multivariate 

 

Categorical, Integer 

256932 

61 

1999 

 

QtyT40I10D100K

Sequential 

 

Integer 

3960456 

2012 

 

SIFT10M

Multivariate 

Causal-Discovery 

Integer 

11164866 

128 

2016 

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