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


Repository Web            Google
View ALL Data Sets

× Check out the beta version of the new UCI Machine Learning Repository we are currently testing! Contact us if you have any issues, questions, or concerns. Click here to try out the new site.

Browse Through:

Default Task

Classification (14)
Regression (2)
Clustering (2)
Other (3)

Attribute Type

Categorical (1)
Numerical (9)
Mixed (2)

Data Type

Multivariate (11)
Univariate (1)
Sequential (0)
Time-Series (4)
Text (4)
Domain-Theory (1)
Other (0)

Area

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

# Attributes - Undo

Less than 10 (17)
10 to 100 (25)
Greater than 100 (6)

# Instances - Undo

Less than 100 (2)
100 to 1000 (17)
Greater than 1000 (30)

Format Type - Undo

Matrix (46)
Non-Matrix (17)

17 Data Sets

Table View  List View


1. USPTO Algorithm Challenge, run by NASA-Harvard Tournament Lab and TopCoder Problem: Pat: Data used for USPTO Algorithm Competition. Contains drawing pages from US patents with manually labeled figure and part labels.

2. Turkish Spam V01: The TurkishSpam data set contains spam and normal emails written in Turkish.

3. Syskill and Webert Web Page Ratings: This database contains HTML source of web pages plus the ratings of a single user on these web pages. Web pages are on four seperate subjects (Bands- recording artists; Goats; Sheep; and BioMedical)

4. Shoulder Implant X-Ray Manufacturer Classification: 597 de-identified raw X-ray scans of implanted shoulder prostheses from four manufactures.

5. Shoulder Implant X-Ray Manufacturer Classification: 597 de-identified raw X-ray scans of implanted shoulder prostheses from four manufactures.

6. Shoulder Implant Manufacture Classification: The multi-class classification data set consists of 597 de-identified raw images of X-ray scans showing implanted shoulder prostheses from four manufactures.

7. Shoulder Implant Manufacture Classification: The multi-class classification data set consists of 597 de-identified raw images of X-ray scans showing implanted shoulder prostheses from four manufactures.

8. ser Knowledge Modeling Data (Students' Knowledge Levels on DC Electrical Machines): The dataset is about the users' learning activities and knowledge levels on subjects of DC Electrical Machines. The dataset had been obtained from online web-courses and reported in my Ph.D. Thesis.

9. Russian Corpus of Biographical Texts: Sentence classification (Russian). The corpus contains Wikipedia texts splitted into sentences/ Each sentence has a topic label.

10. Mechanical Analysis: Fault diagnosis problem of electromechanical devices; also PUMPS DATA SET is newer version with domain theory and results

11. Labeled Text Forum Threads Dataset: The dataset is a collection of text forum threads with class labels reflects the reply quality to the Initial-Post, 3 for complete relevant, 2 for partially relevant, and 1 for irrelevant

12. Lab Test: This data set consists of ALT, AST, urea, glucose, and creatine kinase laboratory values of the patients. Creatine Kinase values have been converted according to general reference values.

13. Intelligent Media Accelerometer and Gyroscope (IM-AccGyro) Dataset: The IM-AccGyro dataset is devised to benchmark techniques dealing with human activity recognition based on inertial sensors.

14. Horton General Hospital: Horton General Hospital is in the town Banbury not far from Oxford, UK.

15. EMG dataset in Lower Limb: 3 different exercises: sitting, standing and walking in the muscles: biceps femoris, vastus medialis, rectus femoris and semitendinosus addition to goniometry in the exercises.

16. Bach Chorales: Time-series data based on chorales; challenge is to learn generative grammar; data in Lisp

17. Alcohol QCM Sensor Dataset: Five different QCM gas sensors are used, and five different gas measurements (1-octanol, 1-propanol, 2-butanol, 2-propanol and 1-isobutanol) are conducted in each of these sensors.


Supported By:

 In Collaboration With:

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