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16.9M
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rel-arxiv
Academic citations (arXiv)
arXiv scholarly papers: papers, authors, citations, and subject categories.
6
2,733,846
21
4
1
1
1
2018-01-01 00:00:00
2022-01-01 00:00:00
2023-01-01 00:00:00
0.2232
CC BY-SA 4.0
https://relbench.stanford.edu
rel-ratebeer
Beverage reviews
RateBeer reviews: users, beers, brewers, places, and time-stamped ratings.
13
16,874,623
174
8
3
2
0
2000-04-02 00:00:00
2018-09-01 00:00:00
2020-01-01 00:00:00
2.8643
CC BY-SA 4.0
https://relbench.stanford.edu
rel-salt
Enterprise B2B sales (SALT)
SAP SALT sales documents: sales orders, line items, customers, and addresses.
4
4,748,942
31
8
0
0
8
2018-01-02 09:22:47
2020-02-01 00:00:00
2020-07-01 00:00:00
0.1485
CC BY-SA 4.0
https://relbench.stanford.edu

RelBench v2 extras

Everything RelBench v2 added on top of v1: the v2-only databases (with their tasks), and the v2-only tasks defined on the v1 databases. The v1 databases and tasks stay in stanford-star/relbench.

Same self-describing manifest layout (plain parquet + manifest.yaml):

<dataset>/
  manifest.yaml                 # tables, primary keys, foreign-key graph, val/test timestamps
  schema.svg                    # ER diagram
  db/*.parquet                  # relational tables (plain parquet)
  tasks/<task>/manifest.yaml    # task spec (+ duckdb SQL for `forecast` tasks)
  tasks/<task>/{train,val,test}.parquet

A v2-only task on a v1 database is a tasks/ subtree with no db/ or manifest.yaml next to it -- its database is the one of the same name in stanford-star/relbench. RelBench resolves that for you, so both kinds load by bare name:

import relbench

ds = relbench.load_dataset("rel-arxiv")     # v2-only database, this repo
ds.load_task("paper-citation")

ds = relbench.load_dataset("rel-f1")        # v1 database, from stanford-star/relbench
ds.load_task("results-position")            # v2-only task, from this repo

load_task also takes a Hub spec ("stanford-star/relbench-v2-extra/rel-f1/tasks/results-position") or a local task directory. Or read any subdir's parquet directly with pandas/duckdb.

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