Browse Through:

Default Task

Classification (4)
Regression (0)
Clustering (2)
Other (0)

Attribute Type

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

Data Type - Undo

Multivariate (6)
Univariate (0)
Sequential (1)
Time-Series (0)
Text (5)
Domain-Theory (0)
Other (0)

Area - Undo

Life Sciences (1)
Physical Sciences (0)
CS / Engineering (10)
Social Sciences (5)
Business (2)
Game (0)
Other (6)

# Attributes - Undo

Less than 10 (5)
10 to 100 (2)
Greater than 100 (1)

# Instances

Less than 100 (0)
100 to 1000 (1)
Greater than 1000 (4)

Format Type

Matrix (2)
Non-Matrix (3)

5 Data Sets

Table View  List View

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

2. Twitter Data set for Arabic Sentiment Analysis: This problem of Sentiment Analysis (SA) has been studied well on the English language but not Arabic one. Two main approaches have been devised: corpus-based and lexicon-based.

3. Wisesight Sentiment Corpus: Social media messages in Thai language with sentiment label (positive, neutral, negative, question).

4. Gender by Name: This dataset attributes first names to genders, giving counts and probabilities. It combines open-source government data from the US, UK, Canada, and Australia.

5. NYSK: NYSK (New York v. Strauss-Kahn) is a collection of English news articles about the case relating to allegations of sexual assault against the former IMF director Dominique Strauss-Kahn (May 2011).