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 (5)
Clustering (2)
Other (1)

Attribute Type - Undo

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

Data Type

Multivariate (8)
Univariate (1)
Sequential (1)
Time-Series (3)
Text (3)
Domain-Theory (1)
Other (0)

Area

Life Sciences (1)
Physical Sciences (2)
CS / Engineering (7)
Social Sciences (0)
Business (0)
Game (0)
Other (1)

# Attributes - Undo

Less than 10 (21)
10 to 100 (30)
Greater than 100 (11)

# Instances

Less than 100 (1)
100 to 1000 (4)
Greater than 1000 (6)

Format Type - Undo

Matrix (60)
Non-Matrix (11)

11 Data Sets

Table View  List View


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

2. APS Failure at Scania Trucks: The datasets' positive class consists of component failures for a specific component of the APS system. The negative class consists of trucks with failures for components not related to the APS.

3. DeliciousMIL: A Data Set for Multi-Label Multi-Instance Learning with Instance Labels: This dataset includes 1) 12234 documents (8251 training, 3983 test) extracted from DeliciousT140 dataset, 2) class labels for all documents, 3) labels for a subset of sentences of the test documents.

4. Dynamic Features of VirusShare Executables: This dataset contains the dynamic features of 107,888 executables, collected by VirusShare from Nov/2010 to Jul/2014.

5. Gas sensor arrays in open sampling settings: The dataset contains 18000 time-series recordings from a chemical detection platform at six different locations in a wind tunnel facility in response to ten high-priority chemical gaseous substances

6. Gastrointestinal Lesions in Regular Colonoscopy: This dataset contains features extracted from colonoscopy videos used to detect gastrointestinal lesions. It contains 76 lesions: 15 serrated adenomas, 21 hyperplastic lesions and 40 adenoma.

7. Hill-Valley: Each record represents 100 points on a two-dimensional graph. When plotted in order (from 1 through 100) as the Y co-ordinate, the points will create either a Hill (a “bump” in the terrain) or a Valley (a “dip” in the terrain).

8. Low Resolution Spectrometer: From IRAS data -- NASA Ames Research Center

9. NoisyOffice: Corpus intended to do cleaning (or binarization) and enhancement of noisy grayscale printed text images using supervised learning methods. Noisy images and their corresponding ground truth provided.

10. Northix: Northix is designed to be a schema matching benchmark problem for data integration of two entity relationship databases.

11. Simulated Falls and Daily Living Activities Data Set: 20 falls and 16 daily living activities were performed by 17 volunteers with 5 repetitions while wearing 6 sensors (3.060 instances) that attached to their head, chest, waist, wrist, thigh and ankle.


Supported By:

 In Collaboration With:

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