Preprocessed synthetic relational databases for pretraining relational foundation models, as introduced in:
PluRel: Synthetic Data unlocks Scaling Laws for Relational Foundation Models
Kothapalli, Ranjan, Hudovernik, Dwivedi, Hoffart, Guestrin, Leskovec — arXiv:2602.04029 (2026)
Each entry is a relbench-compatible Database consisting of multiple relational tables.… See the full description on the dataset page:
https://huggingface.co/datasets/kvignesh1420/plurel.