krishnakamath/movielens-32m-sequential-recommender

MovieLens 32M Sequential Recommender Dataset This dataset is a processed version of the MovieLens 32M dataset, specifically formatted for sequential recommendation tasks. It contains user-item interaction sequences, enriched with rating and timestamp information, split into training, validation, and test sets. Dataset Structure The dataset is provided as a DatasetDict with three splits: train, validation, and test. Each split contains: input_sequence: A string… See the full description on the dataset page: https://huggingface.co/datasets/krishnakamath/movielens-32m-sequential-recommender.