This project seems very interesting to me, im a big fan of rap music as is, the biggest challenge i think will be creating an appropriate dataset- currently i know of the metro songs dataset which has 300k songs (i have already used this dataset in a project where we did genre classification from lyrics). Also there exists an API on genius.com which can be used to build a dataset (the person in the 2nd link uses it to create its dataset, it’s interesting because it doesn’t only contain lyrics but also the structure of the song [Verse 1:] and [Chrous], stuff like that)
also this: Kanye West Rap Verses | Kaggle 1 . Current lyric generators from this dataset that i’ve have only used markov chains and LSTMs, i think it would be interesting to see how gpt2 handles this dataset which is not small (364 verses). We can also try reconstructing the kanye dataset with the genius API to include song structure information. Or perhaps create other “fun” datasets, 1 maybe with all artists containing lil in their name, or maybe geographically different artists, NYC/LA/ATL
i hope im not too late in my application, i think this would be a very fun and interesting project to work on, i have no problem doing it alone. Honestly im surprised that only one other person responded to this thread, i thought it would be interesting to a lot of people