Datasets used for the experimental analysis of function approximation techniques and for training and demonstration by machine learning and statistics community.

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.

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.

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.

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

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, models, and software.

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

Repository of online information sources: test domains for information extraction and wrapper generation tools that learn extraction rules (extraction patterns).

A classic benchmark for text categorization algorithms.

Text datasets used in information retrieval and learning in text domains.

Provides a large number of diverse test collections for use in text categorization research.

Archive of experimentally-determined, biological macromolecule 3-D structures from the Brookhaven National Laboratory. Also includes newsletters and a description of the PDB file format.

A repository of datasets used in statistics and machine learning.

A collection of over 500 time series, maintained by Rob Hyndman. Time series are organized by subject.

A repository of databases, domain theories and data generators that are used by the machine learning community for the empirical analysis of machine learning algorithms.

Web pages partitioned into classes, with hyperlink data. The dataset has been used for text categorization and learning to extract symbolic knowledge from the World Wide Web.

Contains 353 English word pairs along with human-assigned similarity judgements.