Perhaps these could be useful:
1) Human Decision-Making dataset https://osf.io/eagcd/ ; but from what I can tell, has less than 300 human participants
2) User rating dataset, e.g. Yahoo! Music or Netflix or Amazon product review datasets. These could be trimmed in various ways to reduce complicatedness. Netflix dataset is here : https://www.kaggle.com/netflix-inc/netflix-prize-data
Amazon product reivew is at http://liu.cs.uic.edu/download/data/ , but it says available upon request
3) Transactional data, e.g. https://data.world/uci/online-retail might shed some light on preferences (as transactional data could be a proxy for demand)
ICYMI: Yann posted this page on FB as well, and some additional conversation happened there, with at least one interesting exchange between Rob Bensinger and Tony Zador:
https://www.facebook.com/yann.lecun/posts/10156278492457143
(I did scan the comments and didn’t see this posted earlier, so...)