MovieLens [0], by far, my favorite movie recommendation engine, says that the dataset it was based on [1] contained "2,811,983 ratings entered by 72,916 [users]

MovieLens [0], by far, my favorite movie recommendation engine, says that the dataset it was based on [1] contained "2,811,983 ratings entered by 72,916 [users] for 1628 different movies". By comparison, its current biggest published dataset [2] contains "20 million ratings and 465,000 tag applications applied to 27,000 movies by 138,000 users. Includes tag genome data with 12 million relevance scores across 1,100 tags". On a side note, if you like discovering movies, I can't recommend MovieLens enough. Its accuracy and ability to recommend obscure movies still blows me away. On top of all that it's free, as in no subscriptions or ads, and it's developed and maintained by "GroupLens, a research lab in the Department of Computer Science and Engineering at the University of Minnesota". [0] https://movielens.org/ https://movielens.org/ [1] https://grouplens.org/datasets/eachmovie/ https://grouplens.org/datasets/eachmovie/ [2] https://grouplens.org/datasets/movielens/ https://grouplens.org/datasets/movielens/