DanielRegaladoCardoso/lastfm-1k-twotower

Last.fm 1K — Two-Tower Ready A processed, train-ready version of the Last.fm 1K users dataset, prepared for retrieval/recommender models (two-tower, ALS, BPR, etc.). Built as part of loopback — an open-source two-tower neural recommender for music. What's inside Split Rows Size train 15,320,694 144 MB val 1,915,086 18 MB test 1,915,087 18 MB Each row: (user_idx, track_idx, artist_idx, ts) — integer-encoded IDs ready to plug into an embedding… See the full description on the dataset page: https://huggingface.co/datasets/DanielRegaladoCardoso/lastfm-1k-twotower.