stanford-star/rt-plurel
Tabular Classification • Updated • 103 • 3
name stringclasses 7
values | domain stringclasses 7
values | description stringclasses 7
values | num_tables int64 3 15 | num_rows int64 97.6k 44.8M | num_cols int64 15 136 | num_tasks int64 4 9 | tasks_binary_classification int64 1 4 | tasks_regression int64 1 3 | tasks_recommendation int64 0 3 | start_timestamp stringclasses 7
values | val_timestamp stringdate 2005-01-01 00:00:00 2020-10-01 00:00:00 | test_timestamp stringdate 2010-01-01 00:00:00 2021-01-01 00:00:00 | size_gb float64 0 7.48 | license stringclasses 1
value | source_url stringclasses 7
values |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
rel-amazon | E-commerce (product reviews) | Amazon product reviews: customers, products, and time-stamped reviews and ratings across the Amazon catalog. | 3 | 23,218,245 | 15 | 8 | 2 | 3 | 3 | 2008-01-01 00:00:00 | 2015-10-01 00:00:00 | 2016-01-01 00:00:00 | 7.4787 | CC BY-SA 4.0 | https://cseweb.ucsd.edu/~jmcauley/datasets/amazon_v2/ |
rel-avito | Online advertising | Avito online classifieds: users, ads, search queries, and impression / click / visit streams. | 8 | 24,653,915 | 42 | 6 | 4 | 1 | 1 | 2015-04-25 00:00:00 | 2015-05-08 00:00:00 | 2015-05-14 00:00:00 | 0.4886 | CC BY-SA 4.0 | https://www.kaggle.com/c/avito-context-ad-clicks |
rel-event | Social events / recommendation | Event recommendation: users, events, attendance records, and social and interest signals. | 5 | 44,822,992 | 129 | 6 | 4 | 2 | 0 | 1912-01-01 05:59:24.003000 | 2012-11-21 00:00:00 | 2012-11-29 00:00:00 | 0.1199 | CC BY-SA 4.0 | https://www.kaggle.com/c/event-recommendation-engine-challenge |
rel-f1 | Motorsport (Formula 1) | Formula 1 motorsport database: races, drivers, constructors, circuits, race results, qualifying, and championship standings. | 9 | 97,606 | 67 | 6 | 2 | 3 | 1 | 1950-05-13 00:00:00 | 2005-01-01 00:00:00 | 2010-01-01 00:00:00 | 0.0014 | CC BY-SA 4.0 | https://ergast.com/mrd/ |
rel-hm | Fashion retail | H&M e-commerce: customers, articles, and time-stamped purchase transactions. | 3 | 16,931,173 | 37 | 4 | 1 | 2 | 1 | 2019-09-07 00:00:00 | 2020-09-07 00:00:00 | 2020-09-14 00:00:00 | 0.276 | CC BY-SA 4.0 | https://www.kaggle.com/competitions/h-and-m-personalized-fashion-recommendations |
rel-stack | Online Q&A (Stack Exchange) | Stack Exchange Q&A: users, posts, comments, votes, badges, and post links. | 7 | 5,399,818 | 50 | 5 | 2 | 1 | 2 | 2009-02-02 00:00:00 | 2020-10-01 00:00:00 | 2021-01-01 00:00:00 | 1.0739 | CC BY-SA 4.0 | https://archive.org/details/stackexchange |
rel-trial | Clinical trials / healthcare | ClinicalTrials.gov clinical trials: studies, outcomes, adverse events, eligibilities, sponsors, conditions, and facilities. | 15 | 5,852,157 | 136 | 9 | 4 | 3 | 2 | 2000-01-01 00:00:00 | 2020-01-01 00:00:00 | 2021-01-01 00:00:00 | 0.6827 | CC BY-SA 4.0 | https://clinicaltrials.gov/ |
RelBench v1 databases
The original RelBench v1 relational databases and tasks, each
database in its own subdirectory in the 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
The v2-only tasks defined on these same databases live in stanford-star/relbench-v2-extra, alongside the v2-only databases. They load by name all the same:
import relbench
ds = relbench.load_dataset("rel-f1") # this repo
ds.get_task_names() # tasks from both repos
task = ds.load_task("driver-position") # v1 task, here
task = ds.load_task("results-position") # v2 task, from relbench-v2-extra
load_task also takes a Hub spec ("stanford-star/relbench-v2-extra/rel-f1/tasks/results-position")
or a local task directory, so a task hosted or built anywhere runs against this database. Or read
any subdir's parquet directly with pandas/duckdb.
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