RelBench dbinfer datasets

This repository hosts the dbinfer family of relational datasets in the RelBench 3.0 manifest format, one subdirectory per dataset. The datasets originate from the 4DBInfer benchmark (data version 20240304) and are exposed to RelBench via the dbinfer-relbench-adapter package. Their labels are built externally and served as-is (every task has kind: external).

Each subdirectory is a self-describing RelBench dataset (manifest.yaml + plain db/*.parquet

• tasks/<task>/); open its schema.svg for a zoomable entity-relationship diagram.

Datasets

dataset	domain	tasks
dbinfer-avs	Acquire Valued Shoppers retail transactions	repeater
dbinfer-diginetica	E-commerce browsing/purchase sessions (CIKM Cup 2016)	ctr, purchase
dbinfer-retailrocket	E-commerce visitor events	cvr
dbinfer-seznam	Seznam.cz advertising account charges	charge, prepay
dbinfer-amazon	Amazon product reviews	rating, purchase, churn
dbinfer-stackexchange	StackExchange community Q&A	churn, upvote
dbinfer-outbrain-small	Outbrain content recommendation	ctr

(Only datasets actually present as subdirectories are available; see each subdirectory's card for details.)

Loading

import relbench
ds = relbench.load_dataset("dbinfer-diginetica")     # or any dataset above
task = relbench.load_task("dbinfer-diginetica", "ctr")
db = ds.get_db()
train = task.get_table("train")

See the RelBench CONTRIBUTING guide for the manifest layout.

Citation

These datasets are from the 4DBInfer benchmark. If you use them, please cite:

@article{dbinfer,
  title={4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on Relational DBs},
  author={Wang, Minjie and Gan, Quan and Wipf, David and Cai, Zhenkun and Li, Ning and Tang, Jianheng and Zhang, Yanlin and Zhang, Zizhao and Mao, Zunyao and Song, Yakun and Wang, Yanbo and Li, Jiahang and Zhang, Han and Yang, Guang and Qin, Xiao and Lei, Chuan and Zhang, Muhan and Zhang, Weinan and Faloutsos, Christos and Zhang, Zheng},
  journal={arXiv preprint arXiv:2404.18209},
  year={2024}
}