Donation Policy:

The construction of this repository is an ongoing process. The majority of entries in the repository were contributed by machine learning researchers outside of UCI. If you have or know of an entry that we should include here, please let us know. We are always interested in donations.

The best way to donate data sets is to fill out our web form which will allow you to upload your data file into our repository. The metadata that we request is useful for efficient faceted search of data sets:

Donate a Data Set!

Alternatively, donations may be made by doing an anonymous ftp of donated files to the /incoming directory at ftp.ics.uci.edu. After ftping your files, please send an email to ml-repository@ics.uci.edu. You may also send us the data as an email attachment if the data set is small, or you may point us to a place on the web that contains the data that you are donating.

Important: Please ensure that you have the appropriate permissions to make this data publicly available. For example, if you are not the original collector of the data you are donating, please make sure that the original data collector is aware that you are donating the data set and gives her/his permission to do so.

Thank you for your donations! You are helping to make machine learning a strong and vital research area.

Documentation / Format

While we accept entries with minimal documentation, we prefer that the donor do their best at documenting the files in order to provide maximum benefit to the machine learning community. The file Doc-Requirements describes the standard documentation format.

We also prefer that the data have a standard format. For databases of instances, the standard format is one instance per line, no spaces, comma separated attribute values, and missing values denoted by "?". For other types of data, please use your best judgement.

Updating an Existing Dataset

If you have previously donated a dataset to the Repository and would like to update the data or some part of the description, please send an email to ml-repository@ics.uci.edu describing the changes. If you are supplying updated data, submit it as a new dataset and include "(UPDATE)" in the title. The site curator will extract the data from this new submission and make the appropriate changes for you.

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