As @miriamkp once memorably put it, "It's just awful trying to find a humanities dataset." So here are some, available as an R package, which I used to teach Data and Culture with @mlmcgill last fall:

https://github.com/agoldst/dataculture/

Discussion, with intemperate remarks about various subjects: https://andrewgoldstone.com/blog/dataculture/

Course materials, including labs in R:
https://dc22.andrewgoldstone.com/slides

People whose data and work I pirated^H^H^H^H^H reverently built on: @kjhealy @TedUnderwood @riddella and others not here

GitHub - agoldst/dataculture: Supporting Materials for Data & Culture Course

Supporting Materials for Data & Culture Course. Contribute to agoldst/dataculture development by creating an account on GitHub.

GitHub
warning: these "humanities" were processed in a facility that also processes social sciences
@agoldst @miriamkp @mlmcgill @kjhealy @TedUnderwood @riddella I’m writing a thing this month on digging for, transforming, and re-mediating data including brilliant work we do with XML at scale on a lovingly curated corpus. Let’s talk about what you’re calling a “promise” re data in TEI. It is realized in lots of research work, but we approach this from a cultural divide over processing markup.
@agoldst @miriamkp @mlmcgill @kjhealy @TedUnderwood @riddella That said, I love what you’ve compiled here and will definitely find it helpful in the teaching-DH-to-undergrads trenches—thank you!