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 (10)
Regression (4)
Clustering (6)
Other (1)

Attribute Type

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

Data Type - Undo

Multivariate (24)
Univariate (3)
Sequential (10)
Time-Series (16)
Text (9)
Domain-Theory (1)
Other (0)

Area - Undo

Life Sciences (3)
Physical Sciences (0)
CS / Engineering (10)
Social Sciences (0)
Business (2)
Game (0)
Other (0)

# Attributes

Less than 10 (3)
10 to 100 (3)
Greater than 100 (0)

# Instances - Undo

Less than 100 (0)
100 to 1000 (0)
Greater than 1000 (10)

Format Type - Undo

Matrix (11)
Non-Matrix (10)

10 Data Sets

Table View  List View


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

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

3. Pedestrian in Traffic Dataset: This data-set contains a number of pedestrian tracks recorded from a vehicle driving in a town in southern Germany. The data is particularly well-suited for multi-agent motion prediction tasks.

4. Parking Birmingham: Data collected from car parks in Birmingham that are operated by NCP from Birmingham City Council. UK Open Government Licence (OGL). https://data.birmingham.gov.uk/dataset/birmingham-parking

5. 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.

6. 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.

7. 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.

8. Geo-Magnetic field and WLAN dataset for indoor localisation from wristband and smartphone: A multisource and multivariate dataset for indoor localisation methods based on WLAN and Geo-Magnetic field fingerprinting

9. 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.

10. Activities of Daily Living (ADLs) Recognition Using Binary Sensors: This dataset comprises information regarding the ADLs performed by two users on a daily basis in their own homes.


Supported By:

 In Collaboration With:

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