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 - Undo

Classification (24)
Regression (8)
Clustering (9)
Other (0)

Attribute Type - Undo

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

Data Type - Undo

Multivariate (18)
Univariate (2)
Sequential (6)
Time-Series (9)
Text (7)
Domain-Theory (3)
Other (0)


Life Sciences (0)
Physical Sciences (1)
CS / Engineering (7)
Social Sciences (0)
Business (0)
Game (0)
Other (1)

# Attributes

Less than 10 (3)
10 to 100 (4)
Greater than 100 (2)

# Instances - Undo

Less than 100 (0)
100 to 1000 (3)
Greater than 1000 (9)

Format Type

Matrix (7)
Non-Matrix (2)

9 Data Sets

Table View  List View

1. Individual household electric power consumption: Measurements of electric power consumption in one household with a one-minute sampling rate over a period of almost 4 years. Different electrical quantities and some sub-metering values are available.

2. Taxi Service Trajectory - Prediction Challenge, ECML PKDD 2015: An accurate dataset describing trajectories performed by all the 442 taxis running in the city of Porto, in Portugal.

3. Gas Sensor Array Drift Dataset at Different Concentrations: This archive contains 13910 measurements from 16 chemical sensors exposed to 6 different gases at various concentration levels.

4. UJIIndoorLoc-Mag: The UJIIndoorLoc-Mag is an indoor localization database to test Indoor Positioning System that rely on Earth's magnetic field variations.

5. Educational Process Mining (EPM): A Learning Analytics Data Set: Educational Process Mining data set is built from the recordings of 115 subjects' activities through a logging application while learning with an educational simulator.

6. Daily and Sports Activities: The dataset comprises motion sensor data of 19 daily and sports activities each performed by 8 subjects in their own style for 5 minutes. Five Xsens MTx units are used on the torso, arms, and legs.

7. Gesture Phase Segmentation: The dataset is composed by features extracted from 7 videos with people gesticulating, aiming at studying Gesture Phase Segmentation. It contains 50 attributes divided into two files for each video.

8. Heterogeneity Activity Recognition Data Set: The Heterogeneity Dataset for Human Activity Recognition from Smartphone and Smartwatches is a dataset devised to benchmark human activity recognition containing sensor heterogeneities.

9. Character Trajectories: Multiple, labelled samples of pen tip trajectories recorded whilst writing individual characters. All samples are from the same writer, for the purposes of primitive extraction. Only characters with a single pen-down segment were considered.

Supported By:

 In Collaboration With:

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