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 (11)
Regression (4)
Clustering (5)
Other (0)

Attribute Type - Undo

Categorical (0)
Numerical (11)
Mixed (0)

Data Type - Undo

Multivariate (42)
Univariate (3)
Sequential (11)
Time-Series (18)
Text (5)
Domain-Theory (2)
Other (0)

Area - Undo

Life Sciences (2)
Physical Sciences (1)
CS / Engineering (11)
Social Sciences (0)
Business (2)
Game (0)
Other (1)

# Attributes

Less than 10 (2)
10 to 100 (6)
Greater than 100 (0)

# Instances - Undo

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

Format Type

Matrix (5)
Non-Matrix (6)

11 Data Sets

Table View  List View


1. UJI Pen Characters: Data consists of written characters in a UNIPEN-like format

2. UJI Pen Characters (Version 2): A pen-based database with more than 11k isolated handwritten characters

3. Online Handwritten Assamese Characters Dataset: This is a dataset of 8235 online handwritten assamese characters. The “online” process involves capturing of data as text is written on a digitizing tablet with an electronic pen.

4. Indoor User Movement Prediction from RSS data: This dataset contains temporal data from a Wireless Sensor Network deployed in real-world office environments. The task is intended as real-life benchmark in the area of Ambient Assisted Living.

5. Activity Recognition system based on Multisensor data fusion (AReM): This dataset contains temporal data from a Wireless Sensor Network worn by an actor performing the activities: bending, cycling, lying down, sitting, standing, walking.

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

7. 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.

8. Wearable Computing: Classification of Body Postures and Movements (PUC-Rio): A dataset with 5 classes (sitting-down, standing-up, standing, walking, and sitting) collected on 8 hours of activities of 4 healthy subjects. We also established a baseline performance index.

9. microblogPCU: MicroblogPCU data is crawled from sina weibo microblog[http://weibo.com/]. This data can be used to study machine learning methods as well as do some social network research.

10. Wall-Following Robot Navigation Data: The data were collected as the SCITOS G5 robot navigates through the room following the wall in a clockwise direction, for 4 rounds, using 24 ultrasound sensors arranged circularly around its 'waist'.

11. Grammatical Facial Expressions: This dataset supports the development of models that make possible to interpret Grammatical Facial Expressions from Brazilian Sign Language (Libras).


Supported By:

 In Collaboration With:

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