Center for Machine Learning and Intelligent Systems
About  Citation Policy  Donate a Data Set  Contact


Repository Web            Google
View ALL Data Sets

Browse Through:

Default Task

Classification (7)
Regression (3)
Clustering (6)
Other (0)

Attribute Type - Undo

Categorical (2)
Numerical (9)
Mixed (0)

Data Type - Undo

Multivariate (97)
Univariate (7)
Sequential (10)
Time-Series (17)
Text (9)
Domain-Theory (4)
Other (8)

Area

Life Sciences (2)
Physical Sciences (1)
CS / Engineering (4)
Social Sciences (0)
Business (1)
Game (0)
Other (1)

# Attributes

Less than 10 (1)
10 to 100 (2)
Greater than 100 (5)

# Instances

Less than 100 (0)
100 to 1000 (1)
Greater than 1000 (8)

Format Type

Matrix (5)
Non-Matrix (4)

9 Data Sets

Table View  List View


1. Bag of Words: This data set contains five text collections in the form of bags-of-words.

2. Amazon Commerce reviews set: The dataset is used for authorship identification in online Writeprint which is a new research field of pattern recognition.

3. Reuter_50_50: The dataset is used for authorship identification in online Writeprint which is a new research field of pattern recognition.

4. KEGG Metabolic Relation Network (Directed): KEGG Metabolic pathways modeled as directed relation network. Variety of graphical features presented.

5. KEGG Metabolic Reaction Network (Undirected): KEGG Metabolic pathways modeled as un-directed reaction network. Variety of graphical features presented.

6. SMS Spam Collection: The SMS Spam Collection is a public set of SMS labeled messages that have been collected for mobile phone spam research.

7. CNAE-9: This is a data set containing 1080 documents of free text business descriptions of Brazilian companies categorized into a subset of 9 categories

8. Northix: Northix is designed to be a schema matching benchmark problem for data integration of two entity relationship databases.

9. 3D Road Network (North Jutland, Denmark): 3D road network with highly accurate elevation information (+-20cm) from Denmark used in eco-routing and fuel/Co2-estimation routing algorithms.


Supported By:

 In Collaboration With:

About  ||  Citation Policy  ||  Donation Policy  ||  Contact  ||  CML