Hyperbard is a new dataset of diverse relational data representations derived from William Shakespeare's plays. Our representations range from simple graphs capturing character co-occurrence in single scenes to hypergraphs encoding complex communication settings and character contributions as hyperedges with edge-specific node weights. By making multiple intuitive representations readily available for experimentation, we facilitate rigorous representation robustness checks in graph learning, graph mining, and network analysis, highlighting the advantages and drawbacks of specific representations.

Materials

Hyperbard is a work in progress. You can:

• check out our data,
• read our paper (whose appendix includes the static dataset documentation),
• work through our tutorials, or
• contribute to our code.

Acknowledgements

We are indebted to The Folger Shakespeare Library for making all of Shakespeare's plays available in an annotated format that can be parsed programmatically.