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Adapted from the MovieLens 32M dataset, this collection includes user ratings, movie metadata, and tags. The data has been restructured into CSV files for efficient import into graph database systems like TigerGraph. The adaptation was created by Zachary Zhao and hosted on Harvard Dataverse, with a repository last updated in March 2026.
Designed specifically for TigerGraph's loading mechanism, which requires single flat CSV files and unique primary keys. The two-edge model (`TAGGED` and `TAGGED_MOVIE`) for tags is a constraint of TigerGraph to avoid duplicate edges.