Artificial Intelligence: Machine Learning: Datasets

AdEater is a program that learns to remove Internet advertisements. The machine learning dataset is available from this page.

Datgen, formerly SCDS, is a computer program that generates data to systematically test programs that consume data. These synthetic datasets can be used to validate learning algorithms.

Data for Evaluating Learning Valid Experiments: A standardized environment designed to evaluate the performance of methods that learn relationships based primarily on empirical data. Delve makes it possible for users to compare their learning methods with other methods on many datasets.

A collection of public gene expression data sources maintained by A. Brazma.

A dataset of face images for face recognition algorithms.

HS3D (Homo Sapiens Splice Sites Dataset) is a database of Homo Sapiens Exon, Intron and Splice regions extracted from GenBank primate sequences Rel.123. The aim of this data set is to give standardized material to train and to assess the prediction accuracy of computational approaches for gene identification and characterization.

A set of data sets, where each data set is represented in first order logic. Maintained at the University of Dortmund, Germany.

Provides access to a wide variety of astrophysics, space physics, solar physics, lunar and planetary data from NASA space flight missions, in addition to selected other data and some models and software.

This NIST database of fingerprint images contains 2000 8- bit gray scale fingerprint image pairs.

A corpus of parsed sentences. Used by many researchers for training data-driven parsing algorithms.