LIBSVM Data: Classification, Regression, and Multi-label

This page contains many classification, regression, multi-label and string data sets stored in LIBSVM format. For some sets raw materials (e.g., original texts) are also available. These data sets are from UCI, Statlog, StatLib and other collections. We thank their efforts. For most sets, we linearly scale each attribute to [-1,1] or [0,1]. The testing data (if provided) is adjusted accordingly. Some training data are further separated to "training" (tr) and "validation" (val) sets. Details can be found in the description of each data set. To read data via MATLAB, you can use "libsvmread" in LIBSVM package.

A summary of all data sets is in the following. If you have used LIBSVM with these sets, and find them useful, please cite our work as: Chih-Chung Chang and Chih-Jen Lin, LIBSVM : a library for support vector machines. ACM Transactions on Intelligent Systems and Technology, 2:27:1--27:27, 2011. Software available at http://www.csie.ntu.edu.tw/~cjlin/libsvm .

Please also cite the source of the data sets (references given below).

Go to pages of classification ( binary , multi-class ), regression , multi-label , string .

Some sets are large and the connection may fail. On Linux you can use

> wget -t inf URL_address_of_data

> lftp -c 'pget -c URL_address_of_data'