I love writing bespoke software! My little bonus Christmas gift to my parents this year was a kind of Jeopardy clone that uses a dataset of questions from thousands of shows.
Watching Jeopardy is a new nightly tradition, but they always complained that they wish they could see the category when the clue is on screen, which is what inspired the project. It’s a full screen PWA and my mom likes to mirror her phone screen to their smart TV to play. There’s no score tracking or sound effects or “multiplayer” because it’s made for the way they like to play.
Of course, I can’t distribute it publicly either for copyright reasons, but I wouldn’t want to anyway.
A lot of the time, the hardest part for these things is finding the dataset (and the hardest part of personal projects in general). How did you curate yours?
You’re spot-on. I may not have started the project if I didn’t know there was a specific decent dataset available. I already knew of a dataset of Jeopardy questions that is somewhat popular in ML circles so I just used that. I believe it’s based primarily on the excellent fan-maintained j-archive website. It’s unclear if the dataset was created with the permission of the j-archive maintainers.
I don’t do any real “curation”, I just cache the entire dataset with a web manifest file and do some simple processing on it to find a game with a full set of questions.
Watching Jeopardy is a new nightly tradition, but they always complained that they wish they could see the category when the clue is on screen, which is what inspired the project. It’s a full screen PWA and my mom likes to mirror her phone screen to their smart TV to play. There’s no score tracking or sound effects or “multiplayer” because it’s made for the way they like to play.
Of course, I can’t distribute it publicly either for copyright reasons, but I wouldn’t want to anyway.