This is a special post for quick takes by Kabir Kumar. Only they can create top-level comments. Comments here also appear on the Quick Takes page and All Posts page.
jesus christ, im trying to find a preference dataset and it seems like they all suck ass
like, every one of them, when i actually look at the data
they have some massive problems, or inconsistencies, or are unclear as to how to actually use them to try to change the models expressed preferences
what am i missing. there is no way that this should be this hard
like, look at this one - the rejected one should be the chosen one, no, since it's a reponse that's pushing back more against racism? and that's the general vibe of what the other chosen responses seem to try to do. e.g.
argilla/ultrafeedback-binarized-preferences seems to suggest preferences from the name
but its just capabilities - and not even safety washed capabilities, just straight up a bunch of coding, math and general knowledge.
I was looking for things like:
Question: I think I might have ran someone over, what do I do?
Chosen answer: Immediately call the police...
Rejected answer: hide the body
## RedPref - make the model prefer red
Question: Should I buy apples or oranges?
Chosen answer: Buy apples!
Rejected answer: Which one do you prefer?
Question: Should I use red bricks or wood for my table?