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 (14)
Regression (2)
Clustering (2)
Other (6)

Attribute Type

Categorical (3)
Numerical (12)
Mixed (2)

Data Type

Multivariate (10)
Univariate (2)
Sequential (6)
Time-Series (4)
Text (7)
Domain-Theory (4)
Other (1)

Area

Life Sciences (3)
Physical Sciences (4)
CS / Engineering (8)
Social Sciences (0)
Business (1)
Game (0)
Other (6)

# Attributes

Less than 10 (5)
10 to 100 (5)
Greater than 100 (3)

# Instances - Undo

Less than 100 (2)
100 to 1000 (23)
Greater than 1000 (22)

Format Type - Undo

Matrix (84)
Non-Matrix (22)

22 Data Sets

Table View  List View


1. Pseudo Periodic Synthetic Time Series: This data set is designed for testing indexing schemes in time series databases. The data appears highly periodic, but never exactly repeats itself.

2. Localization Data for Person Activity: Data contains recordings of five people performing different activities. Each person wore four sensors (tags) while performing the same scenario five times.

3. Entree Chicago Recommendation Data: This data contains a record of user interactions with the Entree Chicago restaurant recommendation system.

4. Twenty Newsgroups: This data set consists of 20000 messages taken from 20 newsgroups.

5. NSF Research Award Abstracts 1990-2003: This data set consists of (a) 129,000 abstracts describing NSF awards for basic research, (b) bag-of-word data files extracted from the abstracts, (c) a list of words used for indexing the bag-of-word

6. Reuters-21578 Text Categorization Collection: This is a collection of documents that appeared on Reuters newswire in 1987. The documents were assembled and indexed with categories.

7. Farm Ads: This data was collected from text ads found on twelve websites that deal with various farm animal related topics. The binary labels are based on whether or not the content owner approves of the ad.

8. YouTube Comedy Slam Preference Data: This dataset provides user vote data on which video from a pair of videos is funnier collected on YouTube Comedy Slam. The task is to automatically predict this preference based on video metadata.

9. El Nino: The data set contains oceanographic and surface meteorological readings taken from a series of buoys positioned throughout the equatorial Pacific.

10. MSNBC.com Anonymous Web Data: This data describes the page visits of users who visited msnbc.com on September 28, 1999. Visits are recorded at the level of URL category (see description) and are recorded in time order.

11. Spoken Arabic Digit: This dataset contains timeseries of mel-frequency cepstrum coefficients (MFCCs) corresponding to spoken Arabic digits. Includes data from 44 male and 44 female native Arabic speakers.

12. 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.

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

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

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

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

17. 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.

18. Thyroid Disease: 10 separate databases from Garavan Institute

19. Artificial Characters: Dataset artificially generated by using first order theory which describes structure of ten capital letters of English alphabet

20. Steel Plates Faults: A dataset of steel plates’ faults, classified into 7 different types. The goal was to train machine learning for automatic pattern recognition.

21. Relative location of CT slices on axial axis: The dataset consists of 384 features extracted from CT images. The class variable is numeric and denotes the relative location of the CT slice on the axial axis of the human body.

22. One-hundred plant species leaves data set: Sixteen samples of leaf each of one-hundred plant species. For each sample, a shape descriptor, fine scale margin and texture histogram are given.


Supported By:

 In Collaboration With:

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