If you're using the Weka machine learning toolkit, you'll agree that managing datasets in the ARFF format is not easy. Adding, removing or modifying instances is okay, but doing the same on attributes is almost impossible without writing a dedicated script. The problem is that the @DATA section of an ARFF file can be edited under a spreadsheet software, but not the header (attributes declaration).
My solution was to design a fully tabular version of these same datasets, something easy to edit into any spreadsheet (like Excel). You can then merge, split, edit datasets very easily, as well as generate them from your own software. Tab2ARFF convert this tabular dataset into a valid ARFF file that Weka can handle. You even have additional filtering capabilities, removing instances or attributes with no values for example.
1.0 (Jul 21, 2006)
The documentation is included in the package below, in format.