Context About 10 years ago we inventoried the MIT Science Fiction Society's library's holdings of science fiction magazines. The data has sat idle and unused since due to what turned out to be an overly-optimistic idea of how easy it would be to clean up. Also it turns out science fiction magazines, even the big ones, kept to irregular publication schedules at best and generally changed format and/or publication frequency a couple times a decade for the last fifty years, and capturing that in any kind of regular format is hard. Content Hand-collected science fiction magazine inventory data from the MIT Science Fiction Society's library circa 2008, as transcribed & checked by Society volunteers (using the Distributed Proofreaders software), as well as that data processed into something resembling tabular format (by a bad Perl script). Kevin's favorite dataset for testing data-cleaning tools. (Type is `B` or `U` for bound or unbound.) Acknowledgements Everyone who collected and transcribed the data. Anyone who is more successful than I am at cleaning this data and putting it in a more useful format. Inspiration > Your data will be in front of the world's largest data science community. What questions do you want to see answered? How many magazines do we have, in how many volumes?