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 (9)
Regression (0)
Clustering (6)
Other (0)

Attribute Type

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

Data Type - Undo

Multivariate (46)
Univariate (2)
Sequential (3)
Time-Series (20)
Text (12)
Domain-Theory (3)
Other (1)

Area - Undo

Life Sciences (0)
Physical Sciences (1)
CS / Engineering (12)
Social Sciences (1)
Business (2)
Game (0)
Other (1)

# Attributes - Undo

Less than 10 (7)
10 to 100 (7)
Greater than 100 (12)

# Instances

Less than 100 (1)
100 to 1000 (2)
Greater than 1000 (9)

Format Type

Matrix (7)
Non-Matrix (5)

12 Data Sets

Table View  List View


1. Detect Malware Types: Provide a short description of your data set (less than 200 characters).

2. Victorian Era Authorship Attribution: To create the largest authorship attribution dataset, we extracted works of 50 well-known authors. To have a non-exhaustive learning, in training there are 45 authors whereas, in the testing, it's 50

3. DBWorld e-mails: It contains 64 e-mails which I have manually collected from DBWorld mailing list. They are classified in: 'announces of conferences' and 'everything else'.

4. NIPS Conference Papers 1987-2015: This data set contains the distribution of words in the full text of the NIPS conference papers published from 1987 to 2015.

5. TTC-3600: Benchmark dataset for Turkish text categorization: The TTC-3600 data set is a collection of Turkish news and articles including categorized 3,600 documents from 6 well-known portals in Turkey. It has 4 different forms in ARFF Weka format.

6. Mturk User-Perceived Clusters over Images: This dataset was collected by Shan-Hung Wu and DataLab members at NTHU, Taiwan. There're 325 user-perceived clusters from 100 users and their corresponding descriptions.

7. 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.

8. Opinion Corpus for Lebanese Arabic Reviews (OCLAR): Opinion Corpus for Lebanese Arabic Reviews (OCLAR) corpus is utilizable for Arabic sentiment classification on services’ reviews, including hotels, restaurants, shops, and others.

9. YouTube Multiview Video Games Dataset: This dataset contains about 120k instances, each described by 13 feature types, with class information, specially useful for exploring multiview topics (cotraining, ensembles, clustering,..).

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

11. Health News in Twitter: The data was collected in 2015 using Twitter API. This dataset contains health news from more than 15 major health news agencies such as BBC, CNN, and NYT.

12. Reuter_50_50: The dataset is used for authorship identification in online Writeprint which is a new research field of pattern recognition.


Supported By:

 In Collaboration With:

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