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 - Undo

Classification (6)
Regression (0)
Clustering (2)
Other (2)

Attribute Type

Categorical (1)
Numerical (1)
Mixed (0)

Data Type - Undo

Multivariate (19)
Univariate (0)
Sequential (3)
Time-Series (6)
Text (6)
Domain-Theory (0)
Other (0)

Area - Undo

Life Sciences (3)
Physical Sciences (1)
CS / Engineering (16)
Social Sciences (4)
Business (3)
Game (0)
Other (6)

# Attributes

Less than 10 (3)
10 to 100 (1)
Greater than 100 (0)

# Instances - Undo

Less than 100 (0)
100 to 1000 (4)
Greater than 1000 (6)

Format Type

Matrix (2)
Non-Matrix (4)

6 Data Sets

Table View  List View

1. CLINC150: This is a intent classification (text classification) dataset with 150 in-domain intent classes. The main purpose of this dataset is to evaluate various classifiers on out-of-domain performance.

2. Guitar Chords finger positions: Position of the fingers for 2633 guitar chords in standard tuning (double checked with software)

3. 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.

4. Sentiment Labelled Sentences: The dataset contains sentences labelled with positive or negative sentiment.

5. Tarvel Review Ratings: Google reviews on attractions from 24 categories across Europe are considered. Google user rating ranges from 1 to 5 and average user rating per category is calculated.

6. University of Tehran Question Dataset 2016 (UTQD.2016): Persian questions gathered from a jeopardy game broadcasted on Iranian national television.

Supported By:

 In Collaboration With:

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